Podcasts about mathematical finance

Bob Richardson joins Party for Two to discuss the day's top stories. Then, Luis Seco, Director of Mathematical Finance at U of T weighs in on the stock market plunge. Matt Cauz discusses Vlad Jr's 14-year deal and Ovechkin breaking Gretzky's record. Plus, the latest federal election polling numbers with John Wright.

In this episode, host Jim Jockle sits down with Alvaro Cartea, Director of the Oxford-Man Institute of Quantitative Finance and Professor of Mathematical Finance at Oxford University. Together, they explore the transformative power of AI in financial markets and delve into how deep learning and reinforcement learning are reshaping trading strategies. Alvaro explains how these technologies uncover patterns humans can miss and how they're personalizing trading models to fit unique market views. He raises crucial questions about the unintended consequences of autonomous algorithms, like the risk of AI-driven market collusion, and discusses what this means for future regulation and oversight. Tune in for a deep dive into the future of finance!

Álvaro Cartea is Professor of  Mathematical Finance in the Mathematical Institute, University of Oxford, and director of the Oxford-Man Institute of Quantitative Finance. He is a founding member and deputy chairman of the Commodities & Energy Markets Association (CEMA). Before coming to Oxford, Álvaro was Reader in Mathematical Finance at University College London. He was also previously JP Morgan Lecturer in Financial Mathematics, Exeter College, University of Oxford. Álvaro obtained his doctorate from the University of Oxford in 2003. This podcast covers the evolution of AI trading strategies, the unintented consequences of AI market makers, and the regulatory aspects of AI in finance.

How do you balance rigorous research with open-mindedness in investing? How do you communicate effectively with clients during volatile times?This week, Ryan Detrick, Chief Market Strategist at Carson Group & Sonu Varghese, VP, Global Macro Strategist at Carson Group, chat with Cliff Asness, Managing and Founding Principal at AQR Capital Management, for an insightful discussion on market strategies and the nuances of value investing. Cliff shares his thoughts on the current state of value investing, explores the concept of 'value spread,' and even dips into some fun side topics.They discuss: The current state of value investing and why it has seen challenging periodsInsights into how AQR navigates market anomaliesThe importance of communication and transparency with clientsFun personal insights into Cliff's interests outside of finance, from hot sauce to superhero moviesAnd more!Resources:Any questions about the show? Send it to us! We'd love to hear from you! factsvsfeelings@carsongroup.com Connect with Cliff Asness: LinkedIn: Cliff AsnessX: Cliff AsnessWebsite: AQR Capital ManagementConnect with Ryan Detrick: LinkedIn: Ryan DetrickX: Ryan DetrickConnect with Sonu Varghese: LinkedIn: Sonu VargheseX: Sonu VargheseAbout Our Guest: Cliff Asness is a Founder, Managing Principal, and Chief Investment Officer at AQR Capital Management. He is an active researcher and has authored articles on a variety of financial topics for many publications, including The Journal of Portfolio Management, Financial Analysts Journal, The Journal of Finance, and The Journal of Financial Economics. He has received five Bernstein Fabozzi/Jacobs Levy Awards from The Journal of Portfolio Management in 2002, 2004, 2005, 2014, and 2015. Financial Analysts Journal has twice awarded him the Graham and Dodd Award for the year's best paper, as well as a Graham and Dodd Excellence Award, the award for the best perspectives piece, and the Graham and Dodd Readers' Choice Award. He has won the second prize of the Fama/DFA Prize for Capital Markets and Asset Pricing in the 2020 Journal of Financial Economics. In 2006, the CFA Institute presented Cliff with the James R. Vertin Award, which is periodically given to individuals who have produced a body of research notable for its relevance and enduring value to investment professionals. Prior to co-founding AQR Capital Management, he was a Managing Director and Director of Quantitative Research for the Asset Management Division of Goldman Sachs & Co. He is on the editorial board of The Journal of Portfolio Management, the governing board of the Courant Institute of Mathematical Finance at NYU, the board of directors of the Q-Group, the board of the International Rescue Committee and the board of trustees of The National WWII Museum. Cliff received a B.S. in economics from the Wharton School and a B.S. in engineering from the Moore School of Electrical Engineering at the University of Pennsylvania, graduating summa cum laude in both. He received an M.B.A. with high honors and a Ph.D. in finance from the University of Chicago, where he was Eugene Fama's student and teaching assistant for two years.

Discover the untold truths of the private equity world in this eye-opening episode, featuring Ludovic Phalippou, a renowned professor of financial economics at Oxford University Saïd Business School. Unpack the complex realities of private equity, from misconceptions about past performance to the intricacies of fee structures. Ludovic, known as the "bete noire" of private equity, alongside host George Aliferis, delves deep into the industry's practices, educational challenges, and the urgent need for clearer regulation. On YouTube: https://youtu.be/WKSWrjssSAM REFERENCES ▶️The Book: Private Equity Laid Bare https://www.amazon.co.uk/gp/product/B08T7D4ZQ2?ie=UTF8&psc=1&linkCode=sl1&tag=pelaidbare21-21&linkId=5a158a6c37f97026d9c4da65bfd68a8d&language=en_GB&ref_=as_li_ss_tl ▶️The Website: https://pelaidbare.com/ ▶️ Follow Ludovic on Linkedin: https://www.linkedin.com/in/ludovic-phalippou-5488b147/ ABOUT THE AUTHOR Ludovic specialises in private equity and asset management. Ludovic is the author of the bestseller 'Private Equity Laid Bare', and professor of Financial Economics at Saïd Business School, University of Oxford. He specialises in private market investments with a focus on fee tracking, interest alignment, and return benchmarking. Named as one of 'The 40 Most Outstanding Business School Profs Under 40 in the World' in 2014, and as one of the 20 most influential individuals in private equity in Europe in 2016, Ludovic has strong links with senior practitioners in the industry, routinely speaks at practitioner conferences, and appears in the media internationally. Ludovic's research papers have been widely cited in academia, in the press, and in regulatory circles. Ludovic's paper 'How alternative are private markets?' is one of three 2018 recipients of the Jack Treynor Prize, sponsored by the Q-Group. The Treynor Prize recognises superior academic working papers with potential applications in the fields of investment management and financial markets. Ludovic achieved a degree in Economics from Toulouse School of Economics; a Master in Economics and a Master in Mathematical Finance both from the University of Southern California; and a PhD in Finance from INSEAD. TO GO FURTHER

The Inside Economics team revels in the great economic numbers of the past week. The economy not only avoided a recession in 2023, but it ended the year enjoying robust GDP growth and tame inflation. But there are threats at the start of the new year, including a potential seizing up of the all-important Treasury bond market. Samim Ghamami of the SEC joins the podcast to discuss this threat, its causes and implications, and potential reforms to ensure it doesn't upend financial markets and the economy.  Today's guest Samim Ghamami is currently an economist at the U.S. Securities and Exchange Commission, where he works with the SEC senior management on the reform of the US Treasury market and several other capital market initiatives. Ghamami is also a senior researcher and an adjunct professor of finance at New York University, a senior researcher at UC Berkeley Center for Risk Management Research and the Department of Economics, and a senior advisor at SOFR Academy. Ghamami has been a senior economist and a senior vice president at Goldman Sachs. He has been an adjunct associate professor of economics at Columbia University. Ghamami has also been an associate director and a senior economist at the U.S. Department of the Treasury, Office of Financial Research, and an economist at the Board of Governors of the Federal Reserve System.Ghamami's work has broadly focused on the interplay of finance and macroeconomics, and on financial economics and quantitative finance. His work on banking, asset management, risk management, economic policy, financial stability, financial regulation, and central clearing has been presented and discussed at central banks. He has been an advisor to the Bank for International Settlements and worked as an expert with the Financial Stability Board on post-financial crisis reforms in 2016 and 2017. Ghamami also served on the National Science Foundation panel on Financial Mathematics in 2017 and 2018. Ghamami received his Ph.D. in Mathematical Finance and Operations Research from USC in 2009. His publications have appeared in different journals including Management Science, Journal of Applied Probability, Mathematics of Operations Research, Journal of Financial Intermediation, Journal of Credit Risk, Journal of Derivatives, Quantitative Finance, and Journal of Risk. Follow Mark Zandi @MarkZandi, Cris deRitis @MiddleWayEcon, and Marisa DiNatale on LinkedIn for additional insight.

Investing is a complex and uncertain activity that requires careful analysis, discipline, and patience. There are many factors that can influence the performance of different investment strategies, such as market conditions and investor preferences.Today, we speak with a leading figure in the field.In this special edition of the Facts Vs. Feelings podcast, recorded live at the Excell conference in Nashville, Ryan Detrick & Sonu Varghese speak with Cliff Asness, Managing and Founding Principal at AQR Capital Management.Together, they chat about investment management, the importance of understanding uncertainty in the market, and the need to learn from past mistakes. They also touch on topics such as market bubbles, momentum strategies, and the parallels between decision-making in sports and investing.They discuss: The challenge of quantifying investment strategies and determining if they align with clients' expectationsA critical mistake made during the launch of his firm, AQRA definition of a bubble and examples of past bubbles in the marketCliff's journey from considering law school to becoming a quantitative finance researcher, highlighting pivotal momentsThe challenges and misconceptions surrounding momentum investingCliff's research on the optimal time to pull a hockey goalie and how it relates to investment strategiesThe parallels between sports and investingAnd more!Connect with Cliff Asness: LinkedIn: Cliff AsnessX: Cliff AsnessWebsite: AQR Capital ManagementConnect with Ryan Detrick: LinkedIn: Ryan DetrickConnect with Sonu Varghese: LinkedIn: Sonu VargheseAbout our guest: Cliff Asness is a Founder, Managing Principal, and Chief Investment Officer at AQR Capital Management. He is an active researcher and has authored articles on a variety of financial topics for many publications, including The Journal of Portfolio Management, Financial Analysts Journal, The Journal of Finance, and The Journal of Financial Economics. He has received five Bernstein Fabozzi/Jacobs Levy Awards from The Journal of Portfolio Management in 2002, 2004, 2005, 2014, and 2015. Financial Analysts Journal has twice awarded him the Graham and Dodd Award for the year's best paper, as well as a Graham and Dodd Excellence Award, the award for the best perspectives piece, and the Graham and Dodd Readers' Choice Award. He has won the second prize of the Fama/DFA Prize for Capital Markets and Asset Pricing in the 2020 Journal of Financial Economics. In 2006, the CFA Institute presented Cliff with the James R. Vertin Award, which is periodically given to individuals who have produced a body of research notable for its relevance and enduring value to investment professionals. Prior to co-founding AQR Capital Management, he was a Managing Director and Director of Quantitative Research for the Asset Management Division of Goldman Sachs & Co. He is on the editorial board of The Journal of Portfolio Management, the governing board of the Courant Institute of Mathematical Finance at NYU, the board of directors of the Q-Group, the board of the International Rescue Committee and the board of trustees of The National WWII Museum. Cliff received a B.S. in economics from the Wharton School and a B.S. in engineering from the Moore School of Electrical Engineering at the University of Pennsylvania, graduating summa cum laude in

Hear from Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions at SAS, and Professor Robert Jarrow of Cornell University's SC Johnson College of Business as we continue our discussion of the current banking climate as it relates to integrated balance sheet management — and specifically asset and liability management (ALM). This special two-part podcast series will explore conditions under which a bank is at risk of a “run” by looking internally at their assets and liabilities. We will also consider how to model simulations to project when assets will become negative relative to liabilities and determine how to ensure resiliency within financial institutions. Part 1 of this series will tackle the following topics: Introduction to deposit models for FDIC insurance How to handle hedging and mismatched balance sheets Determining what analytical methods are essential to "doing it right"  An introduction to non-maturity demand deposit runoff that will be a key component for part 2 of this series   Speaker Bios Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions @ SAS He joined the Risk Research and Quantitative Solutions group at SAS Institute, Inc. in June 2022 through SAS' acquisition of his previous firm, the Kamakura Corporation. He founded Kamakura in 1990 and served as Chairman and Chief Executive Officer until the acquisition. Dr. van Deventer's emphasis at SAS Institute, Inc. is enterprise-wide risk management and modern credit risk technology. His primary financial consulting and research interests involve the practical application of leading-edge financial theory to solve critical financial risk management challenges.   Robert Jarrow is the Ronald P. and Susan E. Lynch Professor of Investment Management at Cornell University's SC Johnson College of Business. He is a co-creator of the Heath-Jarrow-Morton (HJM) model, the reduced form credit risk model, and the forward price martingale measure, the standards for pricing and hedging derivatives at major financial institutions. Jarrow is a pioneer of arbitrage-pricing theory and has written seven textbooks and over 225 pieces for academic journals. Jarrow is on the advisory board of numerous academic journals including the Frontiers of Mathematical Finance. His research has won many awards, and he was named IAFE Financial Engineer of the Year in 1997. Jarrow is in the Fixed Income Analysts Society Hall of Fame, Risk Magazine's 50-member Hall of Fame, is listed in the Who's Who of Economics, and received Risk Magazine's Lifetime Achievement Award in 2009. He is currently an IAFE senior fellow and serves on various industry advisory boards.   Over the years, GARP and SAS have worked together to bring risk practitioners unique insights on a variety of topics related to risk management. This time, we are partnering on a brand-new podcast, Risk and Resiliency to take a closer look at ways to face the challenges ahead, to be more agile, vigilant, and quickly adapt to shifting market conditions.  About SAS As a leader in analytics, SAS' award-winning capabilities in analytics, risk management, and other technology areas have helped customers across the globe solve their toughest and ever-evolving business problems. Its unrelenting commitment to innovation enables organizations across financial services to modernize and sustain a competitive edge. Through the latest developments in machine learning, natural language processing, forecasting, and optimization, SAS supports diverse environments and scales to meet changing needs. Learn more about how SAS is driving innovation and business value for risk and finance professionals at www.sas.com/risk

Welcome back for the conclusion of this special two-part podcast series featuring Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions at SAS, and Professor Robert Jarrow of Cornell University's SC Johnson College of Business. We continue the discussion of the current banking climate as it relates to integrated balance sheet management — and specifically asset and liability management (ALM). Part two of this series will tackle the following topics: A further exploration of non-maturity demand deposit runoff Deeper understanding of the estimated default probabilities for a bank that funds investments in Treasury securities with deposits Examples of how those default probabilities vary by maturity and the bank's initial capital position Tangible actions for aligning your balance sheet and optimizing your risk profile    Speaker Bios Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions @ SAS He joined the Risk Research and Quantitative Solutions group at SAS Institute, Inc. in June 2022 through SAS' acquisition of his previous firm, the Kamakura Corporation. He founded Kamakura in 1990 and served as Chairman and Chief Executive Officer until the acquisition. Dr. van Deventer's emphasis at SAS Institute, Inc. is enterprise-wide risk management and modern credit risk technology. His primary financial consulting and research interests involve the practical application of leading-edge financial theory to solve critical financial risk management challenges.   Robert Jarrow is the Ronald P. and Susan E. Lynch Professor of Investment Management at Cornell University's SC Johnson College of Business. He is a co-creator of the Heath-Jarrow-Morton (HJM) model, the reduced form credit risk model, and the forward price martingale measure, the standards for pricing and hedging derivatives at major financial institutions. Jarrow is a pioneer of arbitrage-pricing theory and has written seven textbooks and over 225 pieces for academic journals. Jarrow is on the advisory board of numerous academic journals including the Frontiers of Mathematical Finance. His research has won many awards, and he was named IAFE Financial Engineer of the Year in 1997. Jarrow is in the Fixed Income Analysts Society Hall of Fame, Risk Magazine's 50-member Hall of Fame, is listed in the Who's Who of Economics, and received Risk Magazine's Lifetime Achievement Award in 2009. He is currently an IAFE senior fellow and serves on various industry advisory boards.   Over the years, GARP and SAS have worked together to bring risk practitioners unique insights on a variety of topics related to risk management. This time, we are partnering on a brand-new podcast, Risk and Resiliency to take a closer look at ways to face the challenges ahead, to be more agile, vigilant, and quickly adapt to shifting market conditions.  About SAS As a leader in analytics, SAS' award-winning capabilities in analytics, risk management, and other technology areas have helped customers across the globe solve their toughest and ever-evolving business problems. Its unrelenting commitment to innovation enables organizations across financial services to modernize and sustain a competitive edge. Through the latest developments in machine learning, natural language processing, forecasting, and optimization, SAS supports diverse environments and scales to meet changing needs. Learn more about how SAS is driving innovation and business value for risk and finance professionals at www.sas.com/risk

If you have any interest in private equity or have thought about it as an asset class, then this episode is for you! What is private equity? This might seem a simple question but the answer is more complex than you think. Private equity is a nuanced subject that requires a deep understanding to make successful investments. To help unpack this non-trivial subject is expert Ludovic Phalippou, a Professor of Financial Economics at the University of Oxford Saïd Business School. Although he studied economics in general, his research mainly focuses on unravelling the complexities of private equity. He has written many papers on the topic, including a book called Private Equity Laid Bare. He has a Masters in Economics and a Masters in Mathematical Finance from the University of Southern California and a Ph.D. in Finance from INSEAD, making him well versed in the subject. Besides his impressive qualifications and experience, his insight and ability to speak to the data make him stand out from other experts. In our conversation, we get into the basics of private equity and what makes it attractive to investors. During our conversation we discuss the challenges for measuring performance, how to best measure the performance of private equity funds, the different facets associated with private equity, how to tell if certain private equities are a good investment, and the differences between private and public equity. We also hear how it is applied as he walks us through some real-world scenarios and gives us some insider knowledge on the best private equity options. As you will hear from our conversation, there is no easy answer!   Key Points From This Episode:   We learn what asset classes are included in the broad term of private equity. [0:03:39] The end-to-end process for investing in a typical private equity fund. [0:06:49] The challenges with measuring the performance of private equity managers. [0:09:48] How investments that have not yet been sold are treated when a manager is reporting on their performance. [0:12:48] Professor Phalippou explains how well the IRR captures the economic results delivered by a fund. [0:14:04] Whether there are alternative approaches to evaluating performance. [0:17:52] A discussion about the typical characteristics of a buyout fund. [0:19:35] The best approach for evaluating your private equity. [0:21:24] Find out if a public equity benchmark has to be adjusted for leverage, regarding buyouts. [0:24:26] We learn about the fees that private equity limited partners typically pay. [0:26:34] Outline of the less obvious fees that limited partners might be paying. [0:28:11] Whether an investor paying carry is a sign that the investment has done well. [0:31:07] Comparison of private equity performance relative to public equities. [0:32:31] What number Professor Phalippou would assign on an expected return to private equity, as an asset class. [0:38:46] How successful investing in private equity has been for institutional investors. [0:39:32] The performance of Blackstone and KKR is discussed relative to an average private equity fund. [0:42:11] We get details about the Yale situation and how it manifested. [0:44:24] Reasons why private equity is regarded as the best performing asset class for institutions. [0:45:32] Professor Phalippou tells us if he thinks private equity offers diversification benefits to a public equity portfolio. [0:46:01] He discusses a recent case study regarding Hilton. [0:47:11] Why he thinks sophisticated investors are allocating funds to private equity. [0:48:14] Professor Phalippou shares how to be successful when investing in private equity. [0:50:00] Whether the returns of private equity can be replicated in public equity. [0:53:09] How Professor Phalippou defines success. [0:55:18] We end the show by finding out if the value premium is risk-based or behaviour-based. [0:55:35]

Conscious texting with CB on +1310-361-5485 available to seekers in the USA and Canada only.  In this episode of Conversation with Seekers, Chandresh sat down with a fellow seeker, Barjdeep. Barjdeep and Chandresh have facilitated meditation gatherings for many years, and she is also a part of the Leela school. Something that makes Barjdeep's journey so special is her balance between a thriving career in Wall Street and continuing to keep in touch with her inner work. The two sat down to record this conversation in March of 2022, prior to Roe vs. Wade being overturned. We hope this episode brings insights into the divine feminine journey and path toward conscious abundance.  More about Barjdeep:  Barjdeep has over a decade of investment experience and focuses her days on investing in private markets (venture capital, buyouts, and private real assets) for non-profit institutional investors. She holds an MBA from the Yale School of Management and MS (Mathematical Finance) and BS (Finance) degrees from Rutgers University, New Brunswick. She is also a CFA®️ Charterholder.  Barjdeep is grateful for her spiritual journey and the guidance and growth that she has received through it. Her passion for gender equity is one of the many things that led her to her spiritual journey. From a young age, Barjdeep has been interested in the power that financial independence can have to transform individual lives and organizations.  When she is not investing or meditating, Barjdeep enjoys spending time in nature and traveling to new places. She lives in New York. Visit cbmeditates.com to send your questions and to know more about Chandresh's work.

BURN, BABY BURN! Ladies and gentlemen, controversy has been stirred up over the past few weeks with regards to DJ Akademiks being linked to pedophilia based on what he said in regards to Tyga's then relationship with Kylie Jenner around eight years ago. A snippet of that clip was posted onto social media as of recent, and oh boy, the internet was on FIYAH! DJ Akademiks - a professional reporter, gossiper, and troll who received his Bachelor's Degree in Mathematics and Master's Degree in Mathematical Finance all at Rutgers University New Brunswick - has a crud ton of explaining to do from here on out. Take a listen. Sources: (The original clip) DJ Akademiks "Tyga Denies Being in a Relationship with Kylie Jenner. Is 24 Dating 17 Cool?" https://dreddsinfo.com/2022/05/dj-akademiks-asks-15-year-old-bhad-bhabie-about-her-sex-life-in-resurfaced-video.html https://thejasminebrand.com/2022/06/16/dj-akademiks-responds-to-backlash-over-resurfaced-audio-saying-its-okay-to-have-sex-w-minors-as-long-as-they-got-a-college-id/ --- Support this podcast: https://anchor.fm/christian-paul23/support

This week's episode comes to you from Odense in Denmark, where we're joined by Connor Jensen Murphy and Justin Ihnken from Danish full service cannabis testing and analysis lab, QNTM Labs.We examine the importance of continuity, standardisation, and frameworks with the context of cannabis laboratory testing, and how QNTM Labs are helping to bring pharmaceutical testing standards to the European medical cannabis industry.About QNTM LabsQNTM Labs is an advanced analytical laboratory providing research, development, and regulatory compliance services for pharmaceutical companies.Founded in 2020 and headquartered in Odense, Denmark, QNTM is dedicated to developing innovative analytical methods while maintaining the highest quality levels to forge new industry standards.As global sentiment is increasingly focused on quality data, QNTM Labs is determined to improve transparency and access to robust scientific analysis, working hand-in-hand with global cultivators, API manufacturers, and pharmaceutical industry stakeholders through analytical testing, contract research and clinical trials support.About Justin IhnkenJustin Ihnken is the Chief Executive Officer and Co-founder of QNTM Labs, a state-of-the-art GMP-certified laboratory dedicated to supporting plant-based pharmaceuticals. Outside of QNTM Labs, Justin also currently sits on the Board of Directors for the American Club of Copenhagen.Prior to founding QNTM Labs, Justin worked in Copenhagen for Danish global shipping conglomerate, A.P. Møller-Mærsk, where he was responsible for interest rate portfolio management and derivative trading, as a part of the company's global treasury team. Before moving to Denmark in 2018, Justin built his professional career in institutional banking in New York City, within fixed income trading and interest rates.  Justin completed his education at Seton Hall University's Stillman School of Business where he studied Mathematical Finance. About Connor Jensen MurphyConnor Jensen Murphy co-founded QNTM Labs in March 2020 and is currently the company's Chief Operating Officer.  Connor has spent his career advising middle-market and founder-owned companies in corporate restructuring and M&A transactions.Prior to starting QNTM, Connor was a VP on EY's Investment Banking team in Copenhagen focused on M&A transactions. Before moving to Copenhagen, he was based in San Francisco, California and also worked with EY's Investment Banking group. Connor holds a B.A. from Colgate University where he studied Environmental Economics.ResourcesFollow QNTM Labs on LinkedIn: https://www.linkedin.com/company/qntmlabs/QNTM Labs Website: https://qntmlabs.com/Connect with Connor on LinkedIn: https://www.linkedin.com/in/connor-jensen-murphyConnect with Justin on LinkedIn: https://www.linkedin.com/in/justin-ihnken

A recognized leader in the Exchange Traded Products (ETF) industry, Dr. Scott M. Weiner joins co-host Mike Abrams on this week's episode for an informative and motivating conversation about his career in finance, the industry at large and ETFs specifically, plus the founding of Veterans on Wall Street (VOWS). Dr. Weiner shares how he got his start in the finance world, how his career progressed, and how the leadership qualities of veterans inspired the founding of VOWS. The author of The Complete Guide to ETF Portfolio Management, published by McGraw Hill, Dr. Weiner also breaks down what ETFs are and how the book provides everything you need to know to manage an ETF with the knowledge and skill of a seasoned pro. Dr. Weiner is Head of Quantitative Strategy and a Senior Portfolio Manager for the Exchange Traded Products (ETF) team at Janus Henderson Investors, a global asset management firm with over $400B in assets under management. He is a member of the firm's Index Committee and serves on the Board of Directors for the Janus Henderson Foundation. Prior to his tenure at Janus Henderson, Dr. Weiner was U.S. Head of Equity Derivatives and Quantitative Strategy at Deutsche Bank. His research has been published in Mathematical Finance; The Journal of Money, Credit and Banking; and The Journal of Business and Economic Statistics. Dr. Weiner earned a bachelor's degree from the Wharton School of the University of Pennsylvania, received his master's and doctoral degrees from Oxford University, and completed the Advanced Management Program at Harvard University. He is an active member of Harvard Community Partners, a pro-bono consulting firm that advises nonprofit boards. He is the Founder of Veterans on Wall Street (VOWS™). ABOUT US Welcome to the FourBlock Podcast, a show that examines veteran career transition and the military-civilian divide in the workplace. General Charles Krulak coined the term "Three Block War" to describe the nature of 21st-century military service defined by peace-keeping, humanitarian aid, and full combat. But what happens next? Veterans are often unprepared to return home and begin new careers. We call this the Fourth Block.  FourBlock is a national non-profit that has supported thousands of transitioning service members across the nation in beginning new and meaningful careers.  Mike Abrams (@fourblock) is an Afghanistan veteran, founder of FourBlock, and author of two military transition books. He represents the military transition perspective. Lindsey Pollak (@lindsaypollak) is a career and workplace expert and New York Times bestselling author of three career advice books. Lindsey represents the civilian perspective of this issue.  Veterans, explore new industries and make the right connections. Find a career that fits your calling. Join us at fourblock.org/ Sponsor our program or host a class to equip more of our veterans at fourblock.org/donate. Follow FourBlock on Social Media  LinkedIn Facebook Instagram Twitter Podcast episodes are produced and edited by the Columbia University Center for Veteran Transition and Integration.  

Dr. Lucy Muthoni and Nekesa had a conversation on how Dr. Lucy has navigated life to be where she is. This is an ode to all the ladies who have beaten the odds to be where they are. She is a mathematician, a wife, a mother to many and a teacher. Her experience is one you will enjoy listening to. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/be-different/support

Season 3 of Math Therapy kicks off today with a brand new theme: math in the media! Historically, media representations of math have left a LOT to be desired, but change is in the air and we are HERE for it.Today Vanessa chats with / fangirls over Kyne Santos - a true trailblazer when it comes to showing how complex and multi-dimensional we can be if we give ourselves permission! From fierce competition on Canada’s Drag Race to taking math viral on TikTok, they discuss how Kyne has been redefining stereotypes and courageously breaking down boundaries in both the Queer and math communities.About KyneKyne Santos is a world-class drag queen and mathematics communicator.  He graduated high school with the prestigious Schulich Leader Scholarship to study at the University of Waterloo, where he is a candidate for a Bachelor of Mathematics with a major in Mathematical Finance.  Kyne’s short-form math videos, delivered in full high-glamour drag, have gone viral on TikTok and YouTube, where she tells riddles, gives lessons on history’s greatest mathematicians, and teaches her followers how to spot misleading statistics in the media. Fusing her two passions together, Kyne brings STEM education to the queer community and queerness to STEM.Show notes:Kyne's official (and super glam) website10:48 - Buzzfeed article about Kyne14:10 - NBC article about Kyne using math for good and not evilConnect with us:Kyne Santos: @onlinekyne (Insta, Twitter, TikTok, YouTube)Vanessa Vakharia: @themathguru (Insta, Twitter, TikTok)Math Therapy: @maththerapy (Twitter)Transcript for today’s episode: www.maththerapypodcast.com

MLOps community meetup #56! Last Wednesday we talked to Daniel Stahl, Head of Data and Analytic Platforms, Regions Bank. // Abstract: The Data Science practice has evolved significantly at Regions, with a corresponding need to scale and operationalize machine learning models. Additionally, highly regulated industries such as finance require a heightened focus on reproducibility, documentation, and model controls. In this session with Daniel Stahl, we will discuss how the Regions team designed and scaled their data science platform using DevOps and MLOps practices. This has allowed Regions to meet the increased demand for machine learning while embedding controls throughout the model lifecycle. In the 2 years since the data science platform has been onboarded, 100% of data products have been successfully operationalized. // Bio: Daniel Stahl leads the ML platform team at Regions Bank and is responsible for tooling, data engineering, and process development to make operationalizing models easy, safe, and compliant for Data Scientists. Daniel has spent his career in financial services and has developed novel methods for computing tail risk in both credit risk and operational risk, resulting in peer-reviewed publications in the Journal of Credit Risk and the Journal of Operational Risk. Daniel has a Masters in Mathematical Finance from the University of North Carolina Charlotte. Daniel lives in Birmingham, Alabama with his wife and two daughters. // Final thoughts Please feel free to drop some questions you may have beforehand into our slack channel (https://go.mlops.community/slack) Watch some old meetups on our youtube channel: https://www.youtube.com/channel/UCG6qpjVnBTTT8wLGBygANOQ ----------- Connect With Us ✌️------------- Join our Slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Dan on LinkedIn: https://www.linkedin.com/in/daniel-stahl-6685a52a/

Uwe Wystup is the founder and Managing Director of MathFinance, a quantitative finance advisory firm. They specialize in the development of state-of-the art models for trading, sales and risk management. Their focus is on FX options, the volatility surface and structured derivatives. Uwe is also a Professor of Financial Option Price Modeling at the University of Antwerp, Honorary Professor at Frankfurt School of Finance & Management, was a Visiting Professor at Carnegie Mellon University, where he holds a Ph.D. in Mathematical Finance. Please keep in mind this is not investment advice. Full disclaimer at the end of the podcast.  Are you interested in the difference between Plain Vanilla and Exotic Options? Or the difference between Finance and Quantitative Finance? And of course what skills you need to land a job in quantitative finance? Uwe explains the science behind exotic options valuations, how quantitative models get developed and improved upon. Learn how brokers, treasurers, and hedge funds interact in financial markets.

d1g1t is an enterprise-level wealth management platform engineered to meet the needs of all firms providing investment advice, managing investment portfolio or selling wealth management products to individual investors and families. d1g1t has already signed 11 clients responsible for managing approximately CAD$50 billion of assets under management (AUM). The company signed its first US client - BBR Partners - ranked #8 on Barrons’ Top 50 RIA Firms for 2019. The company is currently speaking with several large banks and building on its momentum to expand its footprint in the U.S. The firm also recently announced a strategic partnership with CI Financial, an independent Canadian company offering global asset management and wealth management advisory services. As part of the agreement, CI will deploy the d1g1t technology platform across the firm’s advisory businesses and is making an equity investment in d1g1t equal to 9.5% of the company. This builds upon their Series A financing which saw Purpose Financial, Extreme Venture Partners, Portag3, Illuminate Financial, angel investors and d1g1t clients invest over CAD$12M to fund the continued growth of its enterprise wealth management platform. I felt compelled to find out more about how d1g1t is transforming this space through technology. An Internationally recognized Quant and Fintech entrepreneur, Dr. Dan Rosen is also an Adjunct Professor of Mathematical Finance at the University of Toronto, and was the first Director of the Center for Financial Institutions at the Fields Institute. Dan has also worked with numerous financial institutions around the world, lectures extensively on risk and portfolio management, financial engineering, and Fintech innovation, and has authored numerous research publications and several patents. In 2010, he was inducted a Fellow of the Fields Institute for his “outstanding contributions to the Fields Institute, its programs, and to the Canadian mathematical community”. Dan was the co-founder and CEO of R² Financial Technologies, acquired by S&P Capital IQ in 2012.

This episode features Michael Riley. He is a current sophomore at Seton Hall University, studying Mathematical Finance and Information Technology in the Stillman School of Business. Michael, who is of Columbian decent and a native of Miami, Florida, discusses his transition from playing Division-1 Baseball to creating Seton Hall’s Consulting Club. Michael offers his advice to listeners who are often told that they are too young to follow their dreams. Finally, Michael offers his advice on how he perfected his public image on LinkedIn. Show Notes: Program Director: Dr. Bryan Price Chief Engineer: Doug Woolever Student Director: Audrey Pennington Head of Distribution: Will Steck Head of Strategy: Shannon Moran Show Notes Supervisor: Peter Eggerding Special thanks to WSOU 89.5 FM Pirate Radio   Links: How to Win Friends and Influence People by Dale Carnegie Gary Vaynerchuk's Twitter

Gudrun Talks to Sema Coşkun who at the moment of the conversation in 2018 is a Post Doc researcher at the University Kaiserslautern in the group of financial mathematics. She constructs models for the behaviour of energy markets. In short the conversation covers the questions How are classical markets modelled? In which way are energy markets different and need new ideas? The seminal work of Black and Scholes (1973) established the modern financial theory. In a Black-Scholes setting, it is assumed that the stock price follows a Geometric Brownian Motion with a constant drift and constant volatility. The stochastic differential equation for the stock price process has an explicit solution. Therefore, it is possible to obtain the price of a European call option in a closed-form formula. Nevertheless, there exist drawbacks of the Black-Scholes assumptions. The most criticized aspect is the constant volatility assumption. It is considered an oversimplification. Several improved models have been introduced to overcome those drawbacks. One significant example of such new models is the Heston stochastic volatility model (Heston, 1993). In this model, volatility is indirectly modeled by a separate mean reverting stochastic process, namely. the Cox-Ingersoll-Ross (CIR) process. The CIR process captures the dynamics of the volatility process well. However, it is not easy to obtain option prices in the Heston model since the model has more complicated dynamics compared to the Black-Scholes model. In financial mathematics, one can use several methods to deal with these problems. In general, various stochastic processes are used to model the behavior of financial phenomena. One can then employ purely stochastic approaches by using the tools from stochastic calculus or probabilistic approaches by using the tools from probability theory. On the other hand, it is also possible to use Partial Differential Equations (the PDE approach). The correspondence between the stochastic problem and its related PDE representation is established by the help of Feynman-Kac theorem. Also in their original paper, Black and Scholes transferred the stochastic representation of the problem into its corresponding PDE, the heat equation. After solving the heat equation, they transformed the solution back into the relevant option price. As a third type of methods, one can employ numerical methods such as Monte Carlo methods. Monte Carlo methods are especially useful to compute the expected value of a random variable. Roughly speaking, instead of examining the probabilistic evolution of this random variable, we focus on the possible outcomes of it. One generates random numbers with the same distribution as the random variable and then we simulate possible outcomes by using those random numbers. Then we replace the expected value of the random variable by taking the arithmetic average of the possible outcomes obtained by the Monte Carlo simulation. The idea of Monte Carlo is simple. However, it takes its strength from two essential theorems, namely Kolmogorov’s strong law of large numbers which ensures convergence of the estimates and the central limit theorem, which refers to the error distribution of our estimates. Electricity markets exhibit certain properties which we do not observe in other markets. Those properties are mainly due to the unique characteristics of the production and consumption of electricity. Most importantly one cannot physically store electricity. This leads to several differences compared to other financial markets. For example, we observe spikes in electricity prices. Spikes refer to sudden upward or downward jumps which are followed by a fast reversion to the mean level. Therefore, electricity prices show extreme variability compared to other commodities or stocks. For example, in stock markets we observe a moderate volatility level ranging between 1% and 1.5%, commodities like crude oil or natural gas have relatively high volatilities ranging between 1.5% and 4% and finally the electricity energy has up to 50% volatility (Weron, 2000). Moreover, electricity prices show strong seasonality which is related to day to day and month to month variations in the electricity consumption. In other words, electricity consumption varies depending on the day of the week and month of the year. Another important property of the electricity prices is that they follow a mean reverting process. Thus, the Ornstein-Uhlenbeck (OU) process which has a Gaussian distribution is widely used to model electricity prices. In order to incorporate the spike behavior of the electricity prices, a jump or a Levy component is merged into the OU process. These models are known as generalized OU processes (Barndorff-Nielsen & Shephard, 2001; Benth, Kallsen & Meyer-Brandis, 2007). There exist several models to capture those properties of electricity prices. For example, structural models which are based on the equilibrium of supply and demand (Barlow, 2002), Markov jump diffusion models which combine the OU process with pure jump diffusions (Geman & Roncoroni, 2006), regime-switching models which aim to distinguish the base and spike regimes of the electricity prices and finally the multi-factor models which have a deterministic component for seasonality, a mean reverting process for the base signal and a jump or Levy process for spikes (Meyer-Brandis & Tankov, 2008). The German electricity market is one of the largest in Europe. The energy strategy of Germany follows the objective to phase out the nuclear power plants by 2021 and gradually introduce renewable energy ressources. For electricity production, the share of renewable ressources will increase up to 80% by 2050. The introduction of renewable ressources brings also some challenges for electricity trading. For example, the forecast errors regarding the electricity production might cause high risk for market participants. However, the developed market structure of Germany is designed to reduce this risk as much as possible. There are two main electricity spot price markets where the market participants can trade electricity. The first one is the day-ahead market in which the trading takes place around noon on the day before the delivery. In this market, the trades are based on auctions. The second one is the intraday market in which the trading starts at 3pm on the day before the delivery and continues up until 30 minutes before the delivery. Intraday market allows continuous trading of electricity which indeed helps the market participants to adjust their positions more precisely in the market by reducing the forecast errors. References S. Coskun and R. Korn: Pricing Barrier Options in the Heston Model Using the Heath-Platen estimator. Monte Carlo Methods and Applications. 24 (1) 29-42, 2018. S. Coskun: Application of the Heath–Platen Estimator in Pricing Barrier and Bond Options. PhD thesis, Department of Mathematics, University of Kaiserslautern, Germany, 2017. S. Desmettre and R. Korn: 10 Computationally challenging problems in Finance. FPGA Based Accelerators for Financial Applications, Springer, Heidelberg, 1–32, 2015. F. Black and M. Scholes: The pricing of options and corporate liabilities. The Journal of Political Economy, 81(3):637-654, 1973. S.L. Heston: A closed-form solution for options with stochastic volatility with applications to bond and currency options. The Review of Financial Studies, 6(2):327–343, 1993. R. Korn, E. Korn and G. Kroisandt: Monte Carlo Methods and Models in Finance and Insurance. Chapman & Hall/CRC Financ. Math. Ser., CRC Press, Boca Raton, 2010. P. Glasserman, Monte Carlo Methods in Financial Engineering. Stochastic Modelling and Applied Probability, Appl. Math. (New York) 53, Springer, New York, 2004. M.T. Barlow: A diffusion model for electricity prices. Mathematical Finance, 12(4):287-298, 2002. O.E. Barndorff-Nielsen and N. Shephard: Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics. Journal of the Royal Statistical Society B, 63(2):167-241, 2001. H. Geman and A. Roncoroni: Understanding the fine structure of electricity prices. The Journal of Business, 79(3):1225-1261, 2006. T. Meyer-Brandis and P. Tankov: Multi-factor jump-diffusion models of electricity prices. International Journal of Theoretical and Applied Finance, 11(5):503-528, 2008. R. Weron: Energy price risk management. Physica A, 285(1-2):127–134, 2000. Podcasts G. Thäter, M. Hofmanová: Turbulence, conversation in the Modellansatz Podcast, episode 155, Department of Mathematics, Karlsruhe Institute of Technology (KIT), 2018. http://modellansatz.de/turbulence G. Thäter, M. J. Amtenbrink: Wasserstofftankstellen, Gespräch im Modellansatz Podcast, Folge 163, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2018. http://modellansatz.de/wasserstofftankstellen S. Ajuvo, S. Ritterbusch: Finanzen damalsTM, Gespräch im Modellansatz Podcast, Folge 97, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2016. http://modellansatz.de/finanzen-damalstm K. Cindric, G. Thäter: Kaufverhalten, Gespräch im Modellansatz Podcast, Folge 45, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2015. http://modellansatz.de/kaufverhalten V. Riess, G. Thäter: Gasspeicher, Gespräch im Modellansatz Podcast, Folge 23, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2015. http://modellansatz.de/gasspeicher F. Schueth, T. Pritlove: Energieforschung, Episode 12 im Forschergeist Podcast, Stifterverband/Metaebene, 2015. https://forschergeist.de/podcast/fg012-energieforschung/

Gudrun Talks to Sema Coşkun who at the moment of the conversation in 2018 is a Post Doc researcher at the University Kaiserslautern in the group of financial mathematics. She constructs models for the behaviour of energy markets. In short the conversation covers the questions How are classical markets modelled? In which way are energy markets different and need new ideas? The seminal work of Black and Scholes (1973) established the modern financial theory. In a Black-Scholes setting, it is assumed that the stock price follows a Geometric Brownian Motion with a constant drift and constant volatility. The stochastic differential equation for the stock price process has an explicit solution. Therefore, it is possible to obtain the price of a European call option in a closed-form formula. Nevertheless, there exist drawbacks of the Black-Scholes assumptions. The most criticized aspect is the constant volatility assumption. It is considered an oversimplification. Several improved models have been introduced to overcome those drawbacks. One significant example of such new models is the Heston stochastic volatility model (Heston, 1993). In this model, volatility is indirectly modeled by a separate mean reverting stochastic process, namely. the Cox-Ingersoll-Ross (CIR) process. The CIR process captures the dynamics of the volatility process well. However, it is not easy to obtain option prices in the Heston model since the model has more complicated dynamics compared to the Black-Scholes model. In financial mathematics, one can use several methods to deal with these problems. In general, various stochastic processes are used to model the behavior of financial phenomena. One can then employ purely stochastic approaches by using the tools from stochastic calculus or probabilistic approaches by using the tools from probability theory. On the other hand, it is also possible to use Partial Differential Equations (the PDE approach). The correspondence between the stochastic problem and its related PDE representation is established by the help of Feynman-Kac theorem. Also in their original paper, Black and Scholes transferred the stochastic representation of the problem into its corresponding PDE, the heat equation. After solving the heat equation, they transformed the solution back into the relevant option price. As a third type of methods, one can employ numerical methods such as Monte Carlo methods. Monte Carlo methods are especially useful to compute the expected value of a random variable. Roughly speaking, instead of examining the probabilistic evolution of this random variable, we focus on the possible outcomes of it. One generates random numbers with the same distribution as the random variable and then we simulate possible outcomes by using those random numbers. Then we replace the expected value of the random variable by taking the arithmetic average of the possible outcomes obtained by the Monte Carlo simulation. The idea of Monte Carlo is simple. However, it takes its strength from two essential theorems, namely Kolmogorov’s strong law of large numbers which ensures convergence of the estimates and the central limit theorem, which refers to the error distribution of our estimates. Electricity markets exhibit certain properties which we do not observe in other markets. Those properties are mainly due to the unique characteristics of the production and consumption of electricity. Most importantly one cannot physically store electricity. This leads to several differences compared to other financial markets. For example, we observe spikes in electricity prices. Spikes refer to sudden upward or downward jumps which are followed by a fast reversion to the mean level. Therefore, electricity prices show extreme variability compared to other commodities or stocks. For example, in stock markets we observe a moderate volatility level ranging between 1% and 1.5%, commodities like crude oil or natural gas have relatively high volatilities ranging between 1.5% and 4% and finally the electricity energy has up to 50% volatility (Weron, 2000). Moreover, electricity prices show strong seasonality which is related to day to day and month to month variations in the electricity consumption. In other words, electricity consumption varies depending on the day of the week and month of the year. Another important property of the electricity prices is that they follow a mean reverting process. Thus, the Ornstein-Uhlenbeck (OU) process which has a Gaussian distribution is widely used to model electricity prices. In order to incorporate the spike behavior of the electricity prices, a jump or a Levy component is merged into the OU process. These models are known as generalized OU processes (Barndorff-Nielsen & Shephard, 2001; Benth, Kallsen & Meyer-Brandis, 2007). There exist several models to capture those properties of electricity prices. For example, structural models which are based on the equilibrium of supply and demand (Barlow, 2002), Markov jump diffusion models which combine the OU process with pure jump diffusions (Geman & Roncoroni, 2006), regime-switching models which aim to distinguish the base and spike regimes of the electricity prices and finally the multi-factor models which have a deterministic component for seasonality, a mean reverting process for the base signal and a jump or Levy process for spikes (Meyer-Brandis & Tankov, 2008). The German electricity market is one of the largest in Europe. The energy strategy of Germany follows the objective to phase out the nuclear power plants by 2021 and gradually introduce renewable energy ressources. For electricity production, the share of renewable ressources will increase up to 80% by 2050. The introduction of renewable ressources brings also some challenges for electricity trading. For example, the forecast errors regarding the electricity production might cause high risk for market participants. However, the developed market structure of Germany is designed to reduce this risk as much as possible. There are two main electricity spot price markets where the market participants can trade electricity. The first one is the day-ahead market in which the trading takes place around noon on the day before the delivery. In this market, the trades are based on auctions. The second one is the intraday market in which the trading starts at 3pm on the day before the delivery and continues up until 30 minutes before the delivery. Intraday market allows continuous trading of electricity which indeed helps the market participants to adjust their positions more precisely in the market by reducing the forecast errors. References S. Coskun and R. Korn: Pricing Barrier Options in the Heston Model Using the Heath-Platen estimator. Monte Carlo Methods and Applications. 24 (1) 29-42, 2018. S. Coskun: Application of the Heath–Platen Estimator in Pricing Barrier and Bond Options. PhD thesis, Department of Mathematics, University of Kaiserslautern, Germany, 2017. S. Desmettre and R. Korn: 10 Computationally challenging problems in Finance. FPGA Based Accelerators for Financial Applications, Springer, Heidelberg, 1–32, 2015. F. Black and M. Scholes: The pricing of options and corporate liabilities. The Journal of Political Economy, 81(3):637-654, 1973. S.L. Heston: A closed-form solution for options with stochastic volatility with applications to bond and currency options. The Review of Financial Studies, 6(2):327–343, 1993. R. Korn, E. Korn and G. Kroisandt: Monte Carlo Methods and Models in Finance and Insurance. Chapman & Hall/CRC Financ. Math. Ser., CRC Press, Boca Raton, 2010. P. Glasserman, Monte Carlo Methods in Financial Engineering. Stochastic Modelling and Applied Probability, Appl. Math. (New York) 53, Springer, New York, 2004. M.T. Barlow: A diffusion model for electricity prices. Mathematical Finance, 12(4):287-298, 2002. O.E. Barndorff-Nielsen and N. Shephard: Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics. Journal of the Royal Statistical Society B, 63(2):167-241, 2001. H. Geman and A. Roncoroni: Understanding the fine structure of electricity prices. The Journal of Business, 79(3):1225-1261, 2006. T. Meyer-Brandis and P. Tankov: Multi-factor jump-diffusion models of electricity prices. International Journal of Theoretical and Applied Finance, 11(5):503-528, 2008. R. Weron: Energy price risk management. Physica A, 285(1-2):127–134, 2000. Podcasts G. Thäter, M. Hofmanová: Turbulence, conversation in the Modellansatz Podcast, episode 155, Department of Mathematics, Karlsruhe Institute of Technology (KIT), 2018. http://modellansatz.de/turbulence G. Thäter, M. J. Amtenbrink: Wasserstofftankstellen, Gespräch im Modellansatz Podcast, Folge 163, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2018. http://modellansatz.de/wasserstofftankstellen S. Ajuvo, S. Ritterbusch: Finanzen damalsTM, Gespräch im Modellansatz Podcast, Folge 97, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2016. http://modellansatz.de/finanzen-damalstm K. Cindric, G. Thäter: Kaufverhalten, Gespräch im Modellansatz Podcast, Folge 45, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2015. http://modellansatz.de/kaufverhalten V. Riess, G. Thäter: Gasspeicher, Gespräch im Modellansatz Podcast, Folge 23, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2015. http://modellansatz.de/gasspeicher F. Schueth, T. Pritlove: Energieforschung, Episode 12 im Forschergeist Podcast, Stifterverband/Metaebene, 2015. https://forschergeist.de/podcast/fg012-energieforschung/

Nick Sonnenberg earned a Bachelor of Science in Mathematical Finance and Statistics from University of California-Santa Barbara and a Masters in Financial Engineering from University of California – Berkley [0:45] Nick explains what financial engineering is – basically applying math to the financial market. He was not aware of financial engineering and just kind of fell into it. [4:00] Worked for a large investment bank doing high frequency trading on many of the stock exchanges. [4:40] What you need to know to be able to work as a high frequency trader. [5:35] Nick is now running two companies. One of them is Get Leverage. [6:16] What has Nick fired up today? – Solving new math problems! [7:18] Nick tells us a story of success – Within a couple weeks on a new job, his manager left and he became the head of trading in Hong Kong and was trading over a Billion dollars and making fractions of a penny at a time with very high volume. [10:15] Where to go get information on high frequency trading? Nick highly recommends taking computer science classes and at a minimum python skills. [11:50] Getting through college. [15:20] Lightning round, best advice, personal habit for success and parting guidance. Nick recommends his book “Idea to Execution”. You can get a free book from Audible at www.stemonfirebook.com and can cancel within 30 days and keep the book of your choice with no cost. Free Audio Book from Audible.

Ludovic Phalippou is the Author of the best seller Private Equity Laid Bare, and is a tenured faculty member of Saïd Business School, University of Oxford. He specialises in the areas of private equity that are of interest to investors in that asset class, such as fee tracking, interest alignment, and return benchmarking. Named as one of “The 40 Most Outstanding Business School Profs Under 40 in the World” in 2014, and as one of the 20 most influential individuals in private equity in Europe in 2016, Ludovic has strong links with senior practitioners in the industry, routinely speaks at practitioner conferences, and appears in the media internationally. Ludovic's research papers have been widely cited in academia, in the press, and in regulatory circles. He worked with a number of large institutional investors on their private equity investment decision and benchmarking systems. At Oxford, Ludovic teaches asset management and private equity. Ludovic achieved a degree in Economics from Toulouse School of Economics; a Master in Economics and a Master in Mathematical Finance both from the University of Southern California; and a PhD in Finance from INSEAD. For more information about Professor Phalippou and his book, please visit www.pelaidbare.com

Ariel Wirkierman (University of Sussex). LINK TO SLIDES: https://www.soas.ac.uk/economics/events/economics-seminars/file120582.pdf Varieties of Growth Regimes, Innovation Systems and Structural Changes in Europe: Challenges for XXI Century This paper aims to provide an empirically grounded, fine grained picture of the varieties of growth regimes in Europe, and how this has gone hand in hand with patterns of structural change and the dynamics of national innovation systems. We disentangle some key nexus between the evolution of innovation, medium-term changes of production, employment, and profitability structures and on their interactions. We focus particularly on disentangling intrinsic and structural factors in the description of growth regimes, shifts in distributive relations and the extent to which these processes have resulted from the European innovation systems falling behind the technological frontier. Ariel Wirkierman is a Research Fellow at the Science Policy Research Unit (SPRU, University of Sussex) working on the EU Horizon 2020 ISIGrowth Project. In particular, he applies and develops Input-Output techniques and simulation models of industrial dynamics to analyse innovation, technical progress, structural change and income distribution. He has previously been a post-doc researcher at the Department of Mathematical Sciences, Mathematical Finance and Econometrics (Catholic University of the Sacred Heart, Italy), designing and implementing algorithms and metrics in complex networks to study industry clusters and node centrality in interindustry networks. Before his doctoral studies he worked as an economic officer at the Ministry of Economy and Production of Argentina, focusing on Regional Input-Output Analysis. Ariel holds a Licentiate in Economics (University of Buenos Aires, Argentina), Master in Economics (National Unviersity of La Plata, Argentina), PhD in Economics (Catholic University of the Sacred Heart). Speaker(s): Ariel Wirkierman (University of Sussex), Gregor Semieniuk (SOAS) Event Date: 22 March 2017 Released by: SOAS Economics Podcast

After reviewing the main themes of this course, Professor Shiller shares his views about finance from a broader perspective. His first topic, the morality of finance, centers on Peter Unger’s Living High and Letting Die and William Graham Sumner’s What the Social Classes Owe Each Other. Subsequently, he addresses the hopelessness about the world’s future that some see from Malthus’ dismal law from the Essay on the Principle of Population, but contrasts it with a positive outlook on purposes and goals in life. While discussing the endurance and survival of financial contracts, he outlines the cases of Germany after World War I, Iran after the Islamic Revolution, and South Africa after the end of apartheid, in which financial contracts prevailed, but does not fail to mention the cases of Russia after the Russian Revolution and Japan after World War II, in which it has not been the case. After a brief comparison between Mathematical Finance and Behavioral Finance, he elaborates on the interplay between wealth and inequality, building on Jacob Hacker’s and Paul Pearson’s Winner-Take-All Politics, Karl Marx’s Das Kapital, and Robert K. Merton concept of the cosmopolitan class. Following this, he emphasizes the democratization of finance as an important future trend and provides examples for this process from his books The Subprime Solution,The New Financial Order and Finance and the Good Society. Professor Shiller concludes the course with advice for finding the right career, highlighting the role of random events, but also the importance of a long-horizon outlook and an orientation towards history in the making. Complete course materials are available at the Open Yale Courses website: http://oyc.yale.edu This course was recorded in Spring 2011.