Podcasts about sensitivity analysis

In this episode of 'Durable Value', hosts Ryan Swehla and Joe Muratore talk about the psychology behind risk and reward, particularly in the context of real estate investing. They discuss topics such as loss aversion, market cycles, and balancing caution with optimism, providing valuable insights and practical advice for investors at any stage in their career. 00:00 Introduction00:17 Human Psychology and Loss Aversion04:45 Market Psychology and Real Estate Cycles07:15 Balancing Caution and Optimism09:06 Advice for Younger Investors10:01 Advice for Older Investors12:00 Sensitivity Analysis in Investing13:08 Strategy Over Tactics14:28 Conclusion

In this episode, Jake emphasizes the importance of having a team for unbiased insights, building cushion into deals, and learning from both your mistakes and others. He shares an in-depth look at his process for underwriting hotel deals, including revenue assumptions, expense analysis, financing structures, and the role of pro forma models. Jake also touches on the significance of community and networking in the hospitality industry, leveraging past partners and peers for feedback and collaboration. From discussing a potential but ultimately avoided deal in New England to highlighting the benefits of working with branding agencies and interior designers, this episode is a masterclass!Connect & Invest with Jake:Follow Jake on X: https://x.com/JWurzak1 on 1 coaching with Jake: https://www.jakewurzak.com/coachingLearn How to Invest with DoveHill: https://bit.ly/3yg8PwoTopics:(00:00:00) - Intro (00:00:56) - The Value of a Hospitality Network (00:02:40) - Savannah Hotel Deal and Due Diligence (00:03:55) - Navigating Investment Strategies and Honest Feedback (00:06:23) - Underwriting Deals: A Case Study (00:08:53) - Seasonal Hotel Operations and Business Plan (00:15:03) - Evaluating Hotel Deals and Financial Metrics (00:25:28) - Short-Term Rental Opportunities (00:26:06) - Financing and Bridge Loans (00:27:52) - Pro Forma Metrics and Cash Flow (00:30:30) - Internal Memos and Investment Committee (00:32:34) - Lease to Buy Options and Master Leases (00:37:38) - Pro Forma Creation and Sensitivity Analysis (00:40:13) - Investor Returns and Deal Structures (00:45:38) - Design and Renovation Budgeting (00:50:26) - Final Thoughts and Q&A

How does mastering real estate underwriting and asset management provide a competitive edge in today's volatile market?   Today, Angel interviews Abhi, a chartered accountant and real estate analyst, who shares insights into his company RealVal. Abhi explains how RealVal supports real estate investors, brokers, and lenders through detailed analysis, underwriting services, and asset management. He dives into the impact of inflation on real estate investments, how RealVal leverages data for decision-making, and the importance of sensitivity analysis in underwriting. The episode unpacks the complexities of navigating current economic challenges, offering valuable tips for investors looking to safeguard their assets and maximize returns.     [00:01 - 03:44] - Real Estate Data Powerhouse RealVal has underwritten over 15,000 properties across various asset classes They leverage historical data to predict trends in expenses, taxes, and rents Data-backed decisions help mitigate risks in unfamiliar markets   [03:45 - 06:21] - The Inflation Dilemma Inflation affects all, from high-income earners to class-C property residents Predicting inflation's impact is tricky due to varying individual experiences RealVal uses sensitivity analysis to adjust models for different inflation scenarios   [06:22 - 09:21] - Sensitivity Analysis: The Investor's Safety Net Sensitivity analysis helps investors plan for worst-case scenarios Knowing break-even points across rent, occupancy, and expenses ensures preparedness Strong underwriting isn't just an LOI; it's a long-term business plan   [09:22 - 12:57] - Underwriting: More Than Numbers RealVal partners with clients from underwriting to asset management They assist clients post-acquisition with due diligence and asset management Comprehensive involvement ensures clients are always supported   [12:58 14:43] - Maximizing Efficiency with Asset Management RealVal tracks CapEx, variances, and renovation targets for investors Asset management dashboards keep clients informed of monthly performance Tracking occupancy and renovation metrics ensures progress toward goals       Key Quotes:   “Inflation is going to feel different to everybody, and predicting it is tricky.” - Abhinandan Jain   “Sensitivity analysis is crucial; it helps investors see how changes in variables can affect their returns.” - Abhinandan Jain       Connect with Abhinandan:   Website: https://www.therealval.com LinkedIn: https://www.linkedin.com/in/abhinandanjain11/     Visit sponsorcloud.io/contact today and unlock $2,000 of free services exclusively for REI Rocks community members! Get automated syndication and investor relationship management tools to save time and money. Mention your part of the REI Rocks community for exclusive offers. Help make affordable, low-cost education summits possible. Check out Sponsor Cloud today!   LEAVE A REVIEW + help someone who wants to explode their business growth by sharing this episode.   Are you confused about where to start? Join our community and learn more about real estate investing.    Head over to our Facebook Page, YouTube channel, or website  https://www.theacademypresents.com/jointhesummit36848306.

Check out our past deals, future ones, and join our community: https://thewealthelevator.com/club/In this week's podcast, we dissect the Q3 2024 report, exploring key changes and maintaining cautious optimism about the anticipated interest rate cuts come September. We delve into the recent shake-up in the solo 401k provider landscape, highlighting alternatives with checkbook control for greater investment flexibility. Economic updates suggest a promising outlook, with accelerating growth forecasted for 2025. Despite near-term challenges, opportunities arise as commercial real estate prices drop 20-30% nationwide. We also reflect on bonus depreciation legislation and its impact on investment strategies. Real-world success stories from our portfolio exemplify strategic timing and market adaptation. With significant commercial asset corrections, now might be an unprecedented entry point for new investments. Furthermore, we emphasize diversification over multiple years to mitigate risk. The episode wraps up with highlights of significant market movements, including institutional buyers making strategic acquisitions, underscoring the importance of being proactive in today's fluctuating market environment. Join us for an in-depth analysis and strategic insights to help you navigate this dynamic investment landscape.00:00 Introduction and Q3 Report Overview00:25 Solo 401k Provider Shakeup02:56 Economic Outlook and Investment Opportunities04:11 Bonus Depreciation and Tax Strategies05:43 Upcoming Deals and Events06:54 Market Trends and Predictions13:24 Interest Rates and Real Estate Prices16:37 Inflation and Economic Indicators20:54 Commercial Real Estate Insights34:03 Market Cycles and Investment Opportunities34:52 Understanding Cap Rates and Property Valuation36:28 Navigating Value Add Projects36:57 The Importance of Reversion Cap Rates39:48 Sensitivity Analysis and Lending Terms41:20 Current Market Conditions and Investment Strategies46:20 Blackstone's Market Moves52:54 The Case for Diversification and Alternative Investments55:40 Personal Reflections and New Ventures59:07 Final Thoughts and Community Engagement Hosted on Acast. See acast.com/privacy for more information.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work !Visit our Patreon page to unlock exclusive Bayesian swag ;)TakeawaysBayesian methods align better with researchers' intuitive understanding of research questions and provide more tools to evaluate and understand models.Prior sensitivity analysis is crucial for understanding the robustness of findings to changes in priors and helps in contextualizing research findings.Bayesian methods offer an elegant and efficient way to handle missing data in longitudinal studies, providing more flexibility and information for researchers.Fit indices in Bayesian model selection are effective in detecting underfitting but may struggle to detect overfitting, highlighting the need for caution in model complexity.Bayesian methods have the potential to revolutionize educational research by addressing the challenges of small samples, complex nesting structures, and longitudinal data. Posterior predictive checks are valuable for model evaluation and selection.Chapters00:00 The Power and Importance of Priors09:29 Updating Beliefs and Choosing Reasonable Priors16:08 Assessing Robustness with Prior Sensitivity Analysis34:53 Aligning Bayesian Methods with Researchers' Thinking37:10 Detecting Overfitting in SEM43:48 Evaluating Model Fit with Posterior Predictive Checks47:44 Teaching Bayesian Methods 54:07 Future Developments in Bayesian StatisticsThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi...

Summary On this episode of Startup Junkies, hosts Caleb Talley, Jeff Amerine, and Harrison Kitson sit down with Randy Williamson, Senior SBA and Commercial Lender with Arkansas Federal Credit Union. AFCU is the largest credit union in Arkansas, boasting twenty-one branches with expansion plans already in the works. As a member-owned, tax exempt institute, it offers a full range of services that differ from traditional banks, and after sixty-eight years in service, Arkansas Federal Credit Union is approaching a 2.4 billion dollar footprint. AFCU aims to empower entrepreneurs through financial knowledge, putting them in the position to make educated business decisions.   Throughout the conversation, Randy dives into the important considerations and best practices for startups and small businesses seeking financing from lenders. He also shares insights on crafting a solid business plan, understanding industry benchmarks, seeking external guidance, and building relationships with lenders. Additionally, Randy emphasizes the importance of realistic financial projections, scalable pricing strategies, and retaining earnings for growth and resilience. The discussion highlights the value of candid feedback, market validation, and positioning your business idea for fundability, providing a roadmap for entrepreneurs navigating the lending process and increasing their chances of securing capital to fuel their ventures.   Show Notes (0:50) Introducing Randy Williamson (2:29) Credit Unions vs. Banks (5:02) Advice for Startups to Become Bankable (9:15) The Importance of Customer Discovery (13:50) Running a Sensitivity Analysis (17:18) Having a Good Relationship with Your Banker (21:27) Accommodating to Digital Banking Trends (26:26) The Do and Don'ts of a Business Plan (31:56) Other Funding Alternatives (39:40) Closing Question    Links Caleb Talley Jeff Amerine Harrison Kitson Randy Williamson Arkansas Federal Credit Union

Do you wish you had the power to see into the future? Online Accounting Tips explains how you can predict the financial future of your business with sensitivity analysis. Learn more at https://onlineaccountingtips.com/the-role-of-sensitivity-analysis-in-financial-decision-making/ Online Accounting Tips City: New York Address: 60 W 23rd St Website https://onlineaccountingtips.com/ Phone +1-877-675-4340 Email scott.hall@betteronlineinfo.com

Sensitivity analysis makes more savings a reality for businesses across sectors, explains Scott Halverson, founder of Online Accounting Tips - one of the largest educational resources for accountants of all experience levels. Learn more at https://onlineaccountingtips.com/sensitivity-analysis-in-budgeting-identifying-vulnerabilities-and-opportunities Online Accounting Tips City: New York Address: 60 W 23rd St Website https://onlineaccountingtips.com/ Phone +1-877-675-4340 Email scott.hall@betteronlineinfo.com

Guests: Dr. Alex Bach, ICREA (Catalan Institution for Research and Advanced Studies), and Dr. Bill Weiss, The Ohio State UniversityIn this journal club episode, Dr. Alex  Bach with the Catalan Institution for Research and Advanced Studies joins Dr. Bill Weiss from the Ohio State University. Dr. Weiss introduces the paper as one that's immediately applicable to the industry and answers a question he received a lot during his Extension career: What's the cost of moving cows? This research gives us some real data to help producers on cow management. (3:49)Dr. Bach states that grouping cows is necessary, and the goal is to feed cows as close to their requirements as possible. But in a practical world, that can be difficult, and producers may resist moving cows due to the increased work and perceived drop in milk production. Dr. Bach gathered data from the field to see if that's the case or not by evaluating three farms with different diets and evaluating income over feed cost. (4:33)Dr. Bach goes on to describe the farms and the methods his team used for estimating individual cow intakes in a group pen setting. Cow pen/group changes coincided with a diet change. Individual farms made their own ration decisions and pen movement decisions. (8:17)In general, cows moved from a high to a medium to a low diet over the course of lactation. Primiparous cows moved from the fresh pen to the medium diet. If diet differences were adequate between groups, the loss in milk was compensated by the lower cost ration, and producers made an additional 20-30 cents per cow per day in income over feed costs. However, if the diets were more similar, lower feed costs did not compensate for the loss in milk production. (15:30)  Dr. Weiss asks Dr. Bach if he could only build two rations, a high and a low, how would he do that? Dr. Bach's approach is to look at a histogram of milk production in the pen and split that into quantiles. His goal is to make a ration that satisfies at least 70% of the animals in the pen for the high diet and around 60% of the animals in the pen for the low diet. (24:36)Dr. Bach also ran a sensitivity analysis evaluating how results would change if milk prices or feed costs (or both) went up or down. He found that the higher the milk price, the more resilient a farm will be to a single diet and that feed cost is the opposite. The most interesting scenario is high feed costs and low milk prices - that's where it's almost mandatory to make groups, if you want to survive on a dairy. (27:23)Dr. Bach evaluated the change in nutrient intake for the diet switch and projected the milk production change from that nutrient change compared to how the cows actually performed. The cows always lost less milk production than predicted. Dr. Bach thinks the main reason is that the cows were overfed before moving. (37:46)Dr. Bach invites the audience to experiment a little bit with grouping cows. Don't be afraid of losing milk, and look beyond milk. Put in place mechanisms on the farm that allow you to measure income over feed costs as the ultimate goal. Cows are flexible, so don't be afraid of making a mistake. If something goes wrong, it will go wrong for a short period of time. You can correct it. You can change the diet right away, and the cows will recover. (46:14)You can find this episode's journal club paper here: https://doi.org/10.3168/jds.2022-22875Author: Dr. Alex BachPlease subscribe and share with your industry friends to bring more people to join us around the Real Science Exchange virtual pub table.  If you want one of our new Real Science Exchange t-shirts, screenshot your rating, review, or subscription, and email a picture to anh.marketing@balchem.com. Include your size and mailing address, and we'll get a shirt in the mail to you.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.04.03.535345v1?rss=1 Authors: Puthanmadam Subramaniyam, N., Hyttinen, J. Abstract: It is well established that neural mass models (NMMs) can effectively simulate the mesoscopic and macroscopic dynamics of electroencephalography (EEG), including epileptic EEG. However NMMs are characterized by a high-dimensional parameter space and a lack of knowledge on what NMM parameters can be reliably estimated, thus limiting their application to clinical EEG data. In this article, we analyze the parameter sensitivity of Jansen and Rit NMM (JR NMM) in order to identify the most sensitive NMM parameters for reliable parameter estimation from EEG data. We also propose a joint estimation method for NMM states and parameters based on expectation--maximization combined with unscented Kalman smoother (UKS-EM). Global sensitivity analysis methods including Morris method and Sobol method are used to perform sensitivity analysis. Results from both the Morris and Sobol method show that the average inhibitory synaptic gain, B and the time constant of the average inhibitory post-synaptic potentials (PSPs), 1/b have significant impact on the JR NMM output along with having the least interaction with other model parameters. The UKS-EM method for estimating the parameters $B$ and b is validated using simulations under varying levels of measurement noise. Finally we apply the UKS-EM algorithm to intracranial EEG data from 16 epileptic patients. Our results, both at individual and group-level show that the parameters B and b change significantly between the pre-seizure and seizure period, and between the seizure and post-seizure period, with transition to seizure characterized by decrease in average B and high frequency activity in seizure characterized by an increase in b. These results establish sensitivity analysis guided Bayesian parameter estimation as a powerful tool for reducing the parameter space of high dimensional NMMs enabling reliable and efficient estimation of the most sensitive NMM parameters, with the potential for online and fast tracking of NMM parameters in applications such as seizure tracking and control. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

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Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.10.31.514506v1?rss=1 Authors: He, L., Chen, C., Wang, Y., Fan, Q., Chu, C., Xu, J., Fan, L. Abstract: Deep learning frameworks utilizing convolutional neural networks (CNNs) have frequently been used for brain age prediction and have achieved outstanding performance. Nevertheless, deep learning remains a black box as it is hard to interpret which brain parts contribute significantly to the predictions. To tackle this challenge, we first trained a lightweight, fully CNN model for brain age estimation on a large sample data set (N = 3054, age range = [8,80 years]) and tested it on an independent data set (N = 555, mean absolute error (MAE) = 4.45 years, r = 0.96). We then developed an interpretable scheme combining network occlusion sensitivity analysis (NOSA) with a fine-grained human brain atlas to uncover the learned invariance of the model. Our findings show that the dorsolateral, dorsomedial frontal cortex, anterior cingulate cortex, and thalamus had the highest contributions to age prediction across the lifespan. More interestingly, we observed that different regions showed divergent patterns in their predictions for specific age groups and that the bilateral hemispheres contributed differently to the predictions. Regions in the frontal lobe were essential predictors in both the developmental and aging stages with the thalamus remaining relatively stable and saliently correlated with other regional changes throughout the lifespan. The lateral and medial temporal brain regions gradually became involved during the aging phase. At the network level, the frontoparietal and the default mode networks show an inverted U-shape contribution from the developmental to the aging stages. The framework could identify regional contributions to the brain age prediction model, which could help increase the model interpretability when serving as an aging biomarker. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

For this week's podcast version of the Let's Talk Dairy webinar series, Stuart Childs, Teagasc Dairy Specialist, discusses milk sensitivity analysis and its increasing importance for drying-off cows.To register for future Let's Talk Dairy webinars go to:https://www.teagasc.ie/corporate-events/lets-talk-dairy/ For more episodes from the Dairy Edge podcast go to the show page at:https://www.teagasc.ie/animals/dairy/the-dairy-edge-podcast/

Segment-level thermal sensitivity analysis for exo-Earth imaging by Ananya Sahoo et al. on Thursday 15 September We present a segment-level wavefront stability error budget for space telescopes essential for exoplanet detection. We use a detailed finite element model to relate the temperature gradient at the location of the primary mirror to wavefront variations on each of the segment. We apply the PASTIS sensitivity model forward approach to allocate static tolerances in physical units for each segment, and transfer these tolerances to the temporal domain via a model of the WFS&C architecture in combination with a Zernike phase sensor and science camera. We finally estimate the close-loop variance and limiting contrast for the segments' thermo-mechanical modes. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2209.06762v1

Segment-level thermal sensitivity analysis for exo-Earth imaging by Ananya Sahoo et al. on Thursday 15 September We present a segment-level wavefront stability error budget for space telescopes essential for exoplanet detection. We use a detailed finite element model to relate the temperature gradient at the location of the primary mirror to wavefront variations on each of the segment. We apply the PASTIS sensitivity model forward approach to allocate static tolerances in physical units for each segment, and transfer these tolerances to the temporal domain via a model of the WFS&C architecture in combination with a Zernike phase sensor and science camera. We finally estimate the close-loop variance and limiting contrast for the segments' thermo-mechanical modes. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2209.06762v1

Rising interest rates, geopolitical issues, inflation, and supply chain disruptions all play a major role in your decisions about acquisitions, product investments, and raising capital. Putting together a well-rounded analysis before making decisions may change how and when you approach each investment. In this podcast, Craig Jeffery and Paul Galloway of Strategic Treasurer discuss the differences between scenario and sensitivity analysis.

Want to avoid mistakes in Long Distance Investing?  Download your FREE document at billykeels.com/7mistakestoavoid Episode 63: Moving From Silicon Valley to The Big Apple to Find Diamonds in The Rough   In the conversation with today’s guest, Rob Beardsley, you’ll learn the following:   [00:29 - 02:45] Rob’s profile, in Billy’s guest introduction. [02:45 - 04:50] The backstory and decisions made that led Rob to this point in his journey. [04:50 - 07:44] What underwriting is, and why it’s important to understand. [07:44 - 10:11] Best practice for vetting a sponsor.  [10:11 - 12:49] The typical ranges in fee structures. [12:49 - 15:26] Rob shares his expert knowledge on Risk Adjusted Returns. [15:26 - 21:18] All about Sensitivity Analysis and Stress Testing, and how they relate to underwriting.  [21:18 - 25:02] Understanding the Capital Stack and it’s importance.  [25:02 - 27:45] What we will find in Rob’s book, The Definitive Guide to Multifamily Acquisitions. [27:45 - 31:12] The freedom Rob has manifested from his investment business. Here’s what Rob shared with us during today’s conversation: Where in the world Hunter is currently: The US Virgin Islands, but lives in New York, NY. Favourite European city: London, England. The best thing to happen in the past 24hours: Moving in to the gorgeous airbnb by the water which you can see in the video version of this episode! A mistake Hunter would like you to learn from so you don’t have to pay full price for it: Do your due diligence on everything that can be done in advance, but then ACT FAST!  Book Recommendation: Investing in Real Estate Private Equity, by Sean Cook.   Be sure to reach out and connect with  Rob Beardsley by using the info below:   Websites: https://www.robbeardsley.me and https://www.loanstarcapgroup.com  Email: rob@loanstarcapgroup.com  You can download a FREE underwriting model package from the above websites! Check out Rob’s book: ‘The Definitive Guide to Multifamily Acquisitions’ here: https://www.amazon.com/Definitive-Guide-Underwriting-Multifamily-Acquisitions-ebook/dp/B087114QRT#ace-g9859629705  Start taking action TODAY so that you can gain more Education and Control over your financial life.   To see the Video Version of today’s conversation just CLICK HERE.   Do you want to have more control and avoid the mistakes that I made getting started in long distance investing?  Then you can DOWNLOAD the 7 Mistakes to Avoid in Long Distance Investing Guide by clicking HERE.   Be sure to connect with Billy!  He’s made it easy for you to do…Just go to any of these sites:   Website: www.billykeels.com Youtube: billykeels Facebook: Billy Keels Fan Page Instagram: @billykeels Twitter: @billykeels LinkedIn: Billy Keels

Tyler starts exploring mental models, an explanation of someone’s thought process about how something works in the real world. Tyler takes a look at the Gabriel Weinberg, the CEO of DuckDuckGo’s article “Mental Models I Find Repeatedly Useful” and learns about mental models in the explaining, modelling, and learning model categories. Transcript (Unedited) Okay, I think […]

David Jenkins is a strategic and visionary business leader, and the author of TheAnswerIs -- an education and informative website inspired by his daughters and designed to provide young people with the basic knowledge about investing and finance. Dave was the former President and member of the Board of Directors of Canada’s most prominent independent real estate valuation company as well as the former COO at one of Canada’s most innovative industrial companies. With his rich experience and wisdom, he freely shares his knowledge on the website and by accepting speaking engagements at universities, businesses, and communities.   David joins me to share how he uses his website to educate young people about finances and investing. He explains why he uses short stories and examples in explaining investment concepts, the common missteps of a new investor, and why the Sensitivity Analysis is an essential tool especially for those who are considering investing their money. He also shares some inspiring success stories, including that of his mother’s -- how she, being a widow, raised all of her sons and managed to leave something for them even after she was gone.   “When I was young I was motivated purely by money. I was swinging for the fences with my investments and there was no end in sight to the ways I could lose money.” - David Jenkins   This Week on Young Money:   How Dave and his brother started their real estate venture together What “the aptitude and headspace for investing” means. Why you should always do the best you can with whatever job is assigned to you Why people would still respect you despite them not liking your decision Why you should maintain your integrity and develop trust How long long-term investing is Six items young people need to review financially How to avoid the Youth Trap What the Paradox of Time is What the model portfolio does and what it reflects What Exchange Traded Fund (ETF) is The difference between ETFs and Mutual Funds Types of diversification concerning equity investing How Warren Buffett and his mother inspired him   Key Takeaways:   Do your best with whatever task you’re assigned with. Make your own luck. Act in the best interest of the organization you’re working for. Bring the organization ahead of your own personal interest. Trust and integrity cannot be overstated. Investing advice: Get started early, stay the course and take a long term perspective.   Resources Mentioned:   The Terrible 2s -- Why is the 2% the most dangerous number in investing? Article The Six-Question Ready to Invest Quiz   Connect with David Jenkins:   TheAnswerIs.ca David Jenkins on LinkedIn TheAnswerIs on LinkedIn TheAnswerIs on Twitter TheAnswerIs on Instagram For a FREE presentation: Go to Ask a Question   Rate, Share & Inspire Other Young Millionaires-in-the-Making    Thanks for tuning into the Young Money Podcast - the advice show for young millionaires-in-the-making! If you enjoyed this week’s episode, head over to iTunes and leave us a rating and review. Don’t forget to share your favorite episodes on social media!  Subscribe to the Young Money Podcast on iTunes so you never miss an episode and reach out to us on Facebook, Twitter, LinkedIn, our Linkedin Company Page, or by visiting our website.  

Mar.15 – Tax Shield and Sensitivity Analysis – We will look at how to use the tax shield method and look at sensitivity analysis in the context of the term project.

Michael and Jonathan Ferrell discuss the economic assumptions that investors must make when purchasing a property.

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Summary Problem. Pesticides play an important role in the agricultural production but their misuse affect the health of farmers and workers who manipulate such toxic substances. In the field of occupational hygiene, researches have been working in finding out the most appropriate method to estimate the human exposure in order to assess the risk and therefore to take the due decisions to improve the processes in the pesticide management and to reduce the health risk. Goals. The goal of this research was focused in creating a model for human exposure assessment specially for farming systems in developing countries by (i) evaluating the available models for human exposure assessment developed in industrialized countries, (ii) measuring the exposure in the study areas of potato and flower farming systems in Colombia, and (iii) proposing a pesticide flow model to estimate quantitatively the human exposure. Methods. The research was organized in three phases by using different methods, namely (i) evaluation of previous models of human exposure assessment (by means of a Multi-Criteria and Sensitivity Analysis); (ii) quantification of dermal exposures in Vereda La Hoya (by applying the Whole Body Dosimetry, Luminiscence Spectrometry and Tracer Method); and (iii) the development of a pesticide flow model for the human exposure assessment (by applying the Material Flow Analysis method). This model was built with dermal exposure measurements obtained in the study area of greenhouse flower crops in Sabana de Bogotá, Colombia. Results. DERM, DREAM, PHED and RISKOFDERM were selected as the most appropriate models to be applied in farming systems in developing countries as their determinants are relevant for the assessment of pesticide use and all the processes involved during the pesticide management. Afterwards these four models were applied to assess the dermal exposure in the case study of Vereda La Hoya and their determinants were compared with the characteristics of the study area, DREAM and DERM were found as the most appropriate models to assess the dermal exposure in these study areas. However, because some relevant determinants are still absent, the accuracy of these models could be improved if these are included. When comparing the final model assessment of dermal exposure in the study area, DREAM was found as the model that assesses more accurately the dermal exposure in this study area. In the study area of Vereda La Hoya, Colombia was found that the application was the activity with the highest PDE. Even though lower body parts (thighs and legs) were the most exposed, these body parts also showed the highest level of protection because of the work clothing. The ADE was high for arms and upper back due to the lack of adequate work clothing covering the complete arm and the direct contact of the upper back with the spills on the sprayer tank. Furthermore, it was found that Metamidophos is the most toxic pesticide used in Vereda La Hoya. Farmers may reduce significantly the health risk by using adequate work clothing made of appropriate fabrics that covers the whole body including the arms, cleaning properly all the pesticide residues left on the sprayer before each application, and avoiding the modification of nozzles using only nozzles with the standard discharge. The proposed pesticide flow model helps to identify the patterns of pesticide distribution on the body, the level of protection given by personal protective equipment and the estimates of potential and actual dermal and inhalation exposure. This information can be used to determine the health risk level by comparing the model estimates with the AEOL reference values for each pesticide. In addition, the model makes it possible to easily identify the activities or body parts that have high levels of exposure. This is useful in identifying improvements that will decrease the exposure during pesticide management. Because it is not feasible to measure directly the dermal exposure in all study areas, this model might help to obtain a quick estimation which could help stakeholders and authorities to make further decisions. Conclusions. This research evaluated in depth the available models for human exposure assessment, so assessors can decide which model is the most appropriate according to the characteristics of the study area in which the model is going to be applied and furthermore this research suggested improvements in the models in order to increase the estimation accuracy. This research also contributes in the proposal of a new model for human exposure based on the material flow analysis methodology studying the pesticide fractioning during the pesticide management in a certain interval of time. With this model quantitative estimations of human exposure are obtained which facilitate the risk assessment and the implementation of measures to improve the safety during the pesticide management and to decrease the risk. The proposed model also demonstrates the feasibility of applying the material flow analysis methodology in the field of human exposure, obtaining a tool that helps to understand the mechanisms of distribution of the pesticide in the farming system based on the processes involved and the flows between these processes.

Drs. Burstein, Bellon, and Golshan consider a number of patient and clinical variables that influence decisions regarding management strategy.

Stewart talks about PE-EPS Sensitivity Analysis and describes a spreadsheet that members of STAR use to help value a potential investment Intro/Outro: "Collide" arranged by Jonathan Stewart Bumper Music: "On The Fence" arranged by Jonathan Stewart