Flirting with Models

My guest is Devin Anderson, co-founder of Convexitas.

The theme of this episode, as you can likely guess from the title, is strategy versus structure. While we often focus on strategy specifics on this podcast, Devin hosts a masterclass as to why the structure you wrap your strategy in can ultimately determine the type of strategy you can deliver.

Specifically, we discuss option-based tail hedging and the types of strategies that can be delivered in hedge fund, mutual fund, ETF, and separate account wrappers.

In the back half of the conversation, we dive into how Convexitas implements their risk mitigating strategies. Specifically, Devin explains why Convexitas focuses on convexity with respect to the S&P 500 and actually refuses to customize this mandate, despite having the ability to do so at scale.

Finally, we end the conversation on a bit of a spicier note, where Devin explains why most market pundits overstate the influence large, scheduled derivative rolls might have on the underlying market.

Please enjoy my conversation with Devin Anderson.

In this episode I speak with Martin Tarlie, a member of the Asset Allocation team at GMO and spearheading their work on Nebo, a goals-based investment platform.

Martin describes Nebo as, “bridging the gap between financial planning and portfolio management,” with a key innovation being the reformulation of risk from volatility to not having what you want/need when you want/need it. In other words, constraints on both wealth target and horizon.

This reformulation of the core problem introduces a number of complications to the portfolio optimization process. For example, under classic power utility, lower volatility is always preferred. But if you’re an investor expecting significant shortfall with respect to your wealth targets, increased volatility may be something very much worth pursuing.

We spend plenty of time in the weeds discussing topics such as: the limitations of dynamic programming via backwards indication, the term structure of return variance, ergodicity economics, and portfolio selection sensitivity to utility function choices. And while these are all important details, at the end of it all, what Martin stresses most is that it’s the reformulation of the problem being solved that ultimately leads to a more pragmatic solution for allocators.

Please enjoy my conversation with Martin Tarlie.

In this episode I speak with Grug, an anonymous MEV searcher on the Ethereum blockchain. If that sentence made no sense to you, I promise this will be a fun episode.

To begin the conversation, Grug explains the basic architecture of the Ethereum blockchain and how its structure allows for the emergence of MEV strategies like sandwich attacks, arbitrage, and liquidations.

He discusses some of the criteria he looks for when identifying a profitable MEV strategy and provides examples of some of the long-tail approaches he has deployed in the past as well as some of the risks associated with them. We discuss the pro-cyclical nature of some of these strategies, the role of retail flow, and the edge in being able to deploy rapidly.

Grug also provides his thoughts on the impact of alt-L1’s and L2’s on MEV, airdrop strategies, and the end game of MEV if Ethereum infrastructure becomes too centralized.

Please enjoy my conversation with Grug.

My guest this episode is Doug Greenig, CEO and CIO of Florin Court Capital.

Florin Court specializes in delivering an alternative markets CTA, trading over 500 markets ranging from Turkish cross currency swaps to French power markets.

We spend the majority of the conversation discussing what makes these markets unique from traditional markets traded by CTAs. For example, who are the players in these markets, what are the unique considerations for introducing and sunsetting markets, and why we would expect these markets to trend in the first place?

Doug also explains why he thinks these markets tend to behave better than traditional markets, why you don’t need special trend signals to trade them, and the significant diversification potential they can introduce.

Please enjoy my conversation with Doug Greenig.

In this episode, Corey Hoffstein, CIO of Newfound Research, Rodrigo Gordillo, President of ReSolve Global* and Adam Butler, CIO of ReSolve Global, delve into the concept of return stacking and introduce the innovative RSBT Return StackedTM Bonds & Managed Futures ETF.

This podcast is essential for investors, financial advisors, and anyone interested in learning more about return stacking, the RSBT ETF, and the potential benefits of combining bonds and managed futures for portfolio diversification and risk management. Don't miss out on this insightful conversation to deepen your understanding of these innovative investment strategies and their potential impact on today's complex financial markets.

They cover a wide range of topics, including:

• The motivation behind the return stacking concept and its relevance in today's market environment

• The history of institutional leverage and diversification in retail portfolios

• The advantages of using return stacked strategies for portfolio construction and risk management

• The role of bonds and managed futures in building a robust, diversified investment portfolio

• The importance of low correlation between asset classes for effective diversification

• The mechanics of combining bond exposure with a managed futures overlay in the RSBT ETF, including the use of cash collateral and Treasury Futures

• The benefits of using ETFs as capital-efficient building blocks for return stacking

• The potential for a family of return stacked ETF products to address various investor needs and preferences

• The significance of managed futures as a "third leg of the stool" for managing inflation and mitigating market risks

• The challenges and opportunities related to implementing managed futures strategies and managing leverage in retail portfolios

• The goal of matching the RSBT ETF's bond strategy to core US fixed income, such as the Bloomberg US Core Aggregate Bond Index, and adjusting duration accordingly