Resolve Riffs Investment Podcast

The podcast discusses the impact of COVID-19 on portfolio construction and strategy, the challenges of predicting economic outcomes, the importance of diversification and asset class performance, analyzing market volatility, the implications of maintaining exposure to risk without de-risking, the consequences of not reducing risk and attempting to time the market bottom, the implications of the equity risk premium, valuations, and retirement challenges, exploring benefits of defined benefit pension plans and asset allocation in extreme markets.

The idea that mainstream media could, to some degree, pursue the agenda of powerful groups might have been dismissed as conspiracy theory in the past. But over the years much has changed in how we perceive and interpret the flood of news and data-bits that compete for our attention each day, forcing us to seek out ways to distill the noise in search of something closer to the truth. Gestalt University’s latest guest has emerged as one of these trusted sources. His Epsilon Theory portal is one of the most respected and widely read information outlets in financial media. A prolific writer with a background in applied statistics and game theory, his acute understanding of history and behavioral analysis have equipped him the right tools to shed light onto the real forces that guide The Narrative Machine. He is, of course, Dr Ben Hunt. A departure from our usual conversations, Adam, Rodrigo and Ben discuss how information is shaped, delivered, and ultimately drives the narrative that underpins capital markets and the global zeitgeist. They discuss how this has led the current political and financial climate to deviate from the dominant paradigm of recent decades, and how this affects portfolios and risk management. Please enjoy our latest episode with Ben Hunt.

This episode of Gestalt University could not be timelier, having been recorded two weeks prior to the current market correction that began in late February 2020. The discussion of fragile versus robust approaches is especially important given how recent volatility has led simpler tactical strategies to signal a complete shift away from equities and towards cash. This in turn has left practitioners second-guessing the wisdom of their indicators and hesitant to pull the trigger. For this fascinating conversation we bring none other than Corey Hoffstein of Newfound Research. Corey has lived by the “risk cannot be destroyed, only transformed” dictum, which has guided the core of his investment philosophy across three axes of diversification – sources of risk, process and time.  Our similar thinking (including recent warnings of the dangers involving simple DIY tactical heuristics) led to an extensive research collaboration and ultimately to co-launch the Newfound / ReSolve Robust Equity Momentum Index (following requests from our FinTwit brethren). Our discussion with Corey goes deep into the benefits of building strategies based on Ensemble Methods while considering the impacts of cost, the role of timing and luck, and ways to increase one’s confidence in a back-test. We also examine the behavioral benefits of strategy execution using an array of signals as opposed to binary approaches. A plateful for investors of all stripes, especially practitioners.

Chris Schindler, a pioneer in Alternative Risk Premia (ARP), shares his extensive experience from Ontario Teachers’ Pension Plan, where he developed groundbreaking quantitative strategies. He discusses the rise of index investing, emphasizing that there's no such thing as truly passive investing. Schindler also delves into the challenges of recent ARP returns and presents his innovative project aimed at providing uncorrelated alternatives. The conversation highlights the importance of diversification and understanding risk allocation in today's complex investment landscape.

For the quant community, it was arguably the most awaited book of 2019. Finally, a peek behind the curtains into the most successful hedge fund manager in history. The +66% average (gross) returns that Jim Simons and his army of data scientists produced over the last 17 years in their Medallion fund captured the imagination of investors across the globe and their obsessive secrecy just added to the aura of mystique. After much resistance from the protagonists (not least of which Simons himself), our guest today was able to pierce that bubble and tell the story of Renaissance Technologies. A 20 year veteran of The Wall Street Journal, Gregory Zuckerman has authored best sellers such as "The Frackers: The Outrageous Inside Story of the New Billionaire Wildcatters", "The Greatest Trade Ever: The Behind-the-Scenes Story of How John Paulson Defied Wall Street and Made Financial History", and co-authored the award-winning "Rising Above: How 11 Athletes Overcame Challenges in their Youth to Become Stars" with his two sons. Our 30-minute conversation with Zuckerman tracks a different course from his recent interviews, focusing on how the journey to write this book has changed his understanding of the asset management industry and how his relationship with some of the characters has evolved. But most importantly, we discuss a topic that has been at the core of ReSolve's philosophy from the early years: the idea of harvesting sustainable edges from group relationships as opposed to individual trades or securities. Waste no time and dive right into the latest episode of Gestalt University.

As fees across the world of financial services have decreased over the last few years, the former quotas and commission-based model under which investment advisors operated sounds like a relic of a bygone era. Back then, advisors were not in the business of providing services such as estate or tax planning, let alone financial education. Mike Hirthler, of Jacobi Capital, was a pioneer and an innovator. When he left the commissions-based job he got just out of college to launch a fee-based advisory firm, there was no shortage of skeptics telling him he would never make it under this new model. But it didn’t take long for the industry itself to follow suit. After almost 35 years in the business, Mike recounts the difficulties of the early years and how the important decision of remaining independent ultimately contributed to the firm’s success. A student of behavioral finance and the psychology of markets, he remains passionate about financial literacy – both for the younger generations that he supports in local colleges (and mentors at the office), as well as the ‘boomer’ generation (many of whom have been his clients for decades) that are currently dealing with the challenges of retirement. Following the teachings and lectures of Charlie Munger over many years introduced him to the concept of mental models and combining disciplines to improve problem-solving, which led to an interesting “encounter” with his “mentor-at-a-distance”. It was also through one of his lectures that Mike came across the work of German mathematician Carl Jacobi – who inspired his firm’s name – and one of his most important lessons: "Think through your major problems backwards; invert, always invert".

In this episode Adam Butler and Rodrigo Gordillo host ReSolve's Head of Quantitative Research, Andrew Butler to discuss how ReSolve employs tools from the field of machine learning to produce meaningful and practical improvements in investment outcomes. We start with Andrew's background in applied mathematics and in particular his experience applying ML tools to solve complex real-world problems in the physical sciences. It was fascinating to hear Andrew recount how he came to understand that the tools that work well to model physical systems are much less useful in a financial context. This was a consistent theme throughout the discussion. Our objective was to offer a high-level overview of the ML toolset so we started by defining what ML is and digging into three traditional classes of ML: unsupervised learning, supervised learning, and reinforcement learning. We make each method accessible with simple examples and discuss how ReSolve uses the respective techniques to improve outcomes at virtually every step in the investment process. At many points the group paused to reflect on the myriad ways in which financial markets are distinct from other problem categories. We explore why it is critical to view financial markets through the prism of ML for any statistical inference, and discuss several tools that should be handy in the toolbox of every modern financial analyst. Of critical importance, we reinforced the fact that the ML toolset is useless – if not downright dangerous – if deployed naively without the direction and support of experienced operators. Without a deep understanding of the unique properties and pitfalls of financial markets ML tools are likely to do much more harm than good to portfolios. We also discussed why the most important step – by far – in data-driven research is the validation and online learning step – the sentinel – where trader intuition and experience can amplify results by orders of magnitude. There was some debate about the role of machines and humans in finance and more broadly, and how those roles may evolve. Rodrigo held out hope for sustained human dominance in complex tasks while Adam argued that machines could be playing a much larger and positive role in society already if humans would just get out of the way! There is a lot of marketing around the field of machine learning at the moment but very little nuanced, practical wisdom. We hope you take something of practical relevance from our conversation.

Social media has democratized access to media, providing Wealth and Asset Managers with an unprecedented opportunity to capture investor mindshare via digital marketing. Tune in and listen as Mike Philbrick, ReSolve’s President hosts an epic digital marketing roundtable discussion with experts in the field of digital marketing for Asset and Wealth Managers – Chadd Weston and Simon Jalbert from Traction House, as well as veteran Wealth Management professional Justin Castelli from RLS Wealth Management. Together we go deep to tackle the application of digital marketing as it relates to Wealth and Asset Management businesses covering the following items and MORE! How the network effect informs how to most effectively market to your client and prospects. How to zero-in on the highest impact content How to cross-purpose your content and find the best platforms for distribution How to find your tribe and hone your niche market with the right mix of marketing and selling The changing paradigm of “know-like-and-trust” in a digital economy. You will not want to miss this episode. Whether you’re a veteran marketer or just starting the process, this podcast provides unprecedented access to some exceptional minds in the realm of digital marketing for Wealth and Asset Managers with real boots-on-the-ground experience.

Let’s face it – Meb Faber is everywhere, and he’s built an asset management business from scratch with a very unconventional approach. I wanted to take a look back at that journey to get some perspective on the good, the bad, and the ugly along the way. Meb shared some interesting stories and surprised me with some of the lessons learned. Meb has launched a really thoughtful and unique family of ETFs but I was interested in some of the ideas on Cambria’s shelf. He shared some other concepts that he’s excited about but that the market isn’t ready for yet, including a compelling and more tax efficient alternative to typical income strategies. Most people are aware that Meb takes great pleasure in busting financial myths. We discuss his pet peeve at the moment – market cap weighting – and some research that he’s conducting on why investors should consider strategies that avoid over-allocating to mega-cap companies. It’s amazing how such simple strategies with intuitive explanations can be overlooked by investors for so many years.  My favorite part of the conversation was when Meb described how his thinking had changed over time. Consistent with many of the most thoughtful professionals I’ve chatted with over the years, most of Meb’s lessons relate more to how investors behave in markets rather than the nature of markets themselves. He provides some great illustrations.  I think you’ll enjoy some of our “off-roading” and discussions on topics he isn’t asked about very often.  Any time with Meb is time well spent and this is no exception.

Academics and practitioners are no longer surprised by the existence of the low volatility anomaly. Many papers have been published in credible journals describing the effect and several explanations have been proposed. But most of the explanations seek to preserve the traditional relationship between risk and return that serves as the fundamental basis of modern economics. Eric Falkenstein turns this concept on its head. Eric wrote his thesis on the low volatility effect long before it was acceptable to talk about in polite company. Despite the size of the effect and the depth and breadth of Eric’s analysis, it violated the critical “equilibrium” theory of the day and was rejected by every journal. Eric learned some valuable lessons from this experience that listeners would do well to pay attention to. I was most intrigued with Eric’s research into an alternative equilibrium model, rooted in aversion to relative rather than absolute wealth. If investors are more concerned with relative status rather than absolute wealth then the low volatility phenomenon is a legitimate risk factor. Eric’s work covers far more than just low volatility investing and risk models. Our discussion branches into politics, social policy, and eventually into his new pet project – cryptocurrencies. This was an all-around incredible conversation that listeners won’t want to miss.