Episode 407: Michael Kothakota - The Shape of Financial Planning

In this episode, we are joined by Michael Kothakota for a deeply technical and thought-provoking conversation on interdependent integrative financial planning theory. Drawing from his background in academic research and real-world advisory practice, Michael introduces a mathematical framework designed to capture the full complexity of financial planning—where decisions across domains like taxes, investments, and estate planning are interconnected and constantly evolving. We explore why traditional economic models fall short in capturing the individualized and multi-dimensional nature of financial planning, and how Michael's approach uses tools like multi-objective optimization and dynamic programming to better reflect reality. He explains how client preferences, time-varying priorities, and uncertainty all interact within the model—and why even identical financial situations can lead to very different optimal decisions. This episode is a deep dive into the mechanics of financial advice, offering a new lens on how planners can create value by integrating decisions across domains and aligning them with what clients truly care about.     Key Points From This Episode: (0:04:00) Introduction to the episode and why this topic leans heavily into financial planning complexity. (1:04:00) The core takeaway: integrating all financial planning domains leads to better outcomes than siloed advice. (5:35:00) What interdependent integrative financial planning theory is—and why interdependencies matter. (7:16:00) Why traditional economic theories like portfolio optimization and consumption smoothing fall short. (9:37:00) The central insight: financial planning must account for structure, preferences, and time. (12:12:00) Modeling financial planning as a complex, preference-weighted system over time. (14:25:00) Why identical financial situations can still lead to different optimal advice. (17:50:00) Multi-objective optimization and the competing goals within financial planning. (21:09:00) The role of dynamic programming in solving sequential financial decisions. (23:42:00) Evidence on whether financial planners improve client outcomes—and the limitations of existing data. (26:58:00) The architecture of the model: structural tensor, priority weights, and discount matrix. (30:31:00) Why financial planning is "non-smooth" and filled with constraints and trade-offs. (33:57:00) How changing strategies over time are captured through evolving "strategy spaces." (36:50:00) The six financial planning domains and their respective objective functions. (42:35:00) The priority matrix: quantifying what clients actually care about. (44:41:00) Discount rates and urgency—how priorities shift over time and with life events. (47:58:00) Why financial planning must account for uncertainty and changing preferences. (49:53:00) The role of financial planners in shaping and educating client priorities. (51:07:00) The four-tier architecture that combines structure, preferences, and urgency. (52:47:00) Capturing uncertainty: endogenous vs. exogenous risks and planning for shocks. (55:39:00) Theoretical results: integration premium and value loss from misaligned advice. (58:09:00) Practical takeaway: always consider cross-domain effects when giving advice. (1:02:24) Real-world example of value destruction from siloed expert advice. (1:06:34) Why the value of integration scales with complexity—not just wealth. (1:07:42) The enduring importance of human financial planners in navigating complexity.       Links: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

In this episode, the Rational Reminder team unpacks the mechanics and implications of mega IPOs like SpaceX, OpenAI, and Anthropic potentially entering public indices. They explore how index funds handle IPO inclusion, why newly public stocks tend to underperform, and how structural features of indexing can lead to systematically buying high and selling low. The conversation dives into academic research on IPO returns, the role of free float in index construction, and how evolving market dynamics are forcing index providers to reconsider long-standing rules. They also examine alternative approaches from firms like Dimensional and Avantis, and whether investors are truly missing out by not accessing private markets. This episode blends market structure, empirical evidence, and investor behaviour into a nuanced look at one of the most talked-about investing topics today.   Key Points From This Episode: (0:00:04) Introduction to the Rational Reminder Podcast and hosts. (0:00:19) PWL Capital expands to Vancouver through partnership with Macdonald Shymko & Company. (0:03:45) Main topic: "Mega IPOs" and concerns about index fund exposure. (0:05:00) Why large private companies going public matters for index investors. (0:06:55) Index funds aim to represent markets—not optimize returns. (0:08:41) Massive scale of index funds and implications for IPO demand. (0:10:19) Why IPOs tend to have low expected returns. (0:12:39) How index inclusion rules differ (S&P 500 vs total market indices). (0:15:53) Research on "fast-track" IPO inclusion and front-running effects. (0:18:59) Why mega IPOs may amplify existing inefficiencies. (0:20:39) Important reminder: indexing trade-offs are small and structural—not fatal. (0:21:29) Potential solutions like pre-allocating IPO shares to index funds. (0:23:24) The role of free float in determining index weight. (0:25:00) NASDAQ rule changes and implications for low-float mega IPOs. (0:27:40) Conflict of interest concerns in index rule changes. (0:32:43) Why index providers may need to evolve with changing markets. (0:35:27) Historical changes to index methodology (e.g., float adjustment). (0:37:21) Why IPOs are historically poor investments ("new issues puzzle"). (0:40:28) Evidence from Dimensional on IPO underperformance. (0:41:14) IPOs behave like "junk" stocks (small, unprofitable, high growth). (0:43:04) Low-float IPOs and extreme underperformance data. (0:46:00) High valuations (price-to-sales) linked to worse IPO outcomes. (0:48:00) Index rebalancing as systematic "bad market timing." (0:50:03) Dimensional vs Avantis approaches to IPO inclusion. (0:52:56) Trade-offs and tracking error across different strategies. (0:54:16) Importance of investor discipline amid changing narratives. (0:56:00) Are investors missing out on private markets? (0:58:00) Risks and costs of accessing private shares (SPVs, fees, fraud). (1:00:15) Indirect exposure to private companies through public equities. (1:02:52) Final takeaway: index investing already captures most opportunities. (1:03:25) Wrap-up: IPOs are a known cost—not a reason to abandon indexing.   Links: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://pwlcapital.com/our-team/ Cameron on X — https://x.com/CameronPassmore Ben Wilson on LinkedIn — https://ca.linkedin.com/in/ben-wilson   Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

What if the decades-long debate between active and passive investing wasn't really a debate—but a data problem? In this episode, Ben Felix and Cameron Passmore are joined by Tim Edwards, Managing Director and Global Head of Index Investment Strategy at S&P Dow Jones Indices, for a deep dive into the SPIVA Scorecard—the industry's most enduring and data-driven comparison of active versus passive investing. Tim explains how SPIVA has evolved over 25 years, why survivorship bias matters more than most investors realize, and what the data consistently shows across markets: most active funds underperform their benchmarks—especially over longer time horizons. The conversation goes beyond the headline results, exploring persistence (or lack thereof) in manager performance, why bond funds don't escape the same fate, and whether combining active funds improves outcomes (spoiler: not really). They also tackle common critiques of indexing, including index rebalancing costs, IPO inclusion concerns, and the role of index funds in market concentration.     Key Points From This Episode: (0:00:17) Introduction to the SPIVA report and its long-standing role in the indexing vs. active debate (0:01:18) Overview of the episode: SPIVA, index behavior, IPOs, and market concentration (0:03:30) What SPIVA is and how it measures active fund performance versus benchmarks (0:04:14) Why SPIVA was created: to inform—not settle—the active vs. passive debate (0:05:20) How SPIVA has evolved across regions, asset classes, and research dimensions (0:06:59) Controlling for survivorship bias and why it materially affects results (0:08:57) Real-world survivorship rates: ~50–60% of funds survive over 10 years (0:10:12) Core finding: most active funds underperform, especially over longer horizons (0:10:57) Comparison of equity vs. bond funds: slightly better outcomes in bonds, but still mostly underperformance (0:13:44) Structural differences in equity vs. bond markets (e.g., skewness, dispersion) (0:15:06) Typical survivorship rates across markets and how crises affect fund closures (0:16:02) Persistence analysis: past winners rarely remain winners (0:18:16) Global variation: some markets (e.g., international small caps) show slightly better active results (0:20:41) "Better" doesn't mean good: even in stronger categories, most funds still underperform (0:21:31) Do active funds perform better in down markets? Not consistently (0:23:37) Multi-asset portfolios of active funds: 97% underperform over 10 years (0:25:10) Selecting top-quartile funds improves outcomes slightly—but not meaningfully (0:26:46) Surprising findings in SPIVA and how market dynamics shape results (0:27:45) Impact of SPIVA on industry behavior and investor education (0:29:03) Ben shares how SPIVA influenced his own career path toward indexing (0:30:08) The "index effect" and whether index rebalancing creates performance drag (0:31:30) Why the index effect has largely diminished due to market competition and liquidity (0:34:05) Research on IPO inclusion and whether index rules create systematic return drag (0:36:57) How S&P handles IPO inclusion (e.g., 12-month seasoning rule for S&P 500) (0:39:58) Whether index methodology could evolve due to larger modern IPOs (0:42:36) Addressing concerns about large IPOs entering index funds (0:43:52) Historical perspective on market concentration and today's top-heavy indices (0:45:29) What happened to past top-10 companies: many declined, but markets still thrived (0:47:10) Creative destruction: why markets can succeed even when leaders fail (0:49:15) Weak relationship between market concentration and future returns (0:50:55) None of today's top companies were top companies in the 1960s (0:52:16) Key takeaway: markets evolve, and cap-weighted indices adapt automatically (0:53:58) Concerns about index fund growth and its impact on market function (0:54:30) Benefits of indexing: lower fees and often better investor outcomes (0:56:15) Timing the market: why waiting for a bigger drop tends to hurt returns (0:58:52) "Time in the market" vs. "timing the market" (0:59:09) Tim's favorite index: the DSPX dispersion index (1:00:53) Defining success: why happiness is the ultimate metric     Links: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://pwlcapital.com/our-team/ Cameron on X — https://x.com/CameronPassmore Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

What if the way we think about investing—and expected returns—was fundamentally incomplete? In this episode, Ben Felix and Dan Bortolotti take a deep dive into one of the most influential papers in financial economics: Fama and French (1993). With nearly 15,000 citations, this research reshaped how we understand asset pricing by showing that market beta alone isn't enough to explain returns. Instead, multiple factors—specifically size and value—play a critical role. Ben and Dan unpack how this paper challenged the dominance of CAPM, introduced the now-famous Three-Factor Model, and laid the foundation for decades of empirical asset pricing research. They explore how factor investing evolved, why anomalies may not be anomalies at all, and what this means for evaluating portfolios and active managers today. The conversation also connects theory to practice—highlighting how modern fund providers implement factor strategies and what it means for investors trying to improve expected returns without abandoning diversification.     Key Points From This Episode: (0:00:00)  Introduction to the episode and why this is a long-awaited deep dive into factor investing. (0:01:12) Overview of Fama and French (1993) and its massive impact on finance and portfolio management. (0:03:55) Origins of factor investing and how it connects to index investing and academic research. (0:04:46) Core premise: multiple factors drive expected returns and asset prices. (0:06:08) He explains why different assets can have different expected returns, and why that matters for investors. (0:07:24) Ben introduces the CAPM as the dominant model that linked expected return to market beta. (0:08:53) Dan reflects on how revolutionary CAPM and portfolio theory were when they were first introduced. (0:10:51) Ben describes today as a "golden age of investing," where theory and implementation tools are widely accessible. (0:11:17) He explains how anomalies emerged that CAPM could not explain. (0:12:10) Ben introduces the joint hypothesis problem: we cannot cleanly separate market efficiency from model accuracy. (0:13:47) He identifies the three big issues with CAPM: size, value, and the weak relationship between beta and returns. (0:15:29) Ben introduces the three-factor model: market, size (SMB), and value (HML). (0:17:37) He explains that these factors are built as long-short portfolios designed to capture systematic return variation. (0:18:02) Dan notes that the model did not really address the low-volatility anomaly. (0:18:36) Ben agrees and explains that later work, including the five-factor model, went further on that front. (0:19:03) Ben describes how Fama and French formed 25 portfolios sorted by size and book-to-market. (0:20:00) He explains their use of time-series regression to test how well the model explained portfolio returns. (0:21:12) Ben walks through factor loadings, alpha, and R-squared, and why those outputs matter. (0:23:31) He highlights the model's strong explanatory power, with average R-squared around 0.93 across test portfolios. (0:25:00) Dan clarifies that unexplained return could reflect skill, luck, or another missing factor. (0:25:27) Ben emphasizes how dramatic the jump was from CAPM's explanatory power to the three-factor model's. (0:26:11) He points to small-cap growth as the major area the model struggled to explain. (0:27:09) Ben explains how the model also absorbed dividend-to-price and earnings-to-price "anomalies." (0:28:01) Dan discusses why dividend strategies may simply act as rough value screens rather than offering something unique. (0:28:52) Ben expands on how later research, especially profitability, sharpened value investing implementation. (0:30:37) He notes the unresolved debate over whether factors are true risk exposures or persistent mispricing. (0:32:16) Ben explains how factor models changed the way investors evaluate active managers and fees. (0:33:16) Dan raises the possibility that some early active managers may have intuitively identified factor opportunities before the research formalized them. (0:34:09) Ben discusses whether factor premiums have shrunk after publication and why the evidence is still noisy. (0:34:59) He describes how the paper helped launch the boom in empirical asset pricing research. (0:35:35) Ben introduces the "factor zoo" problem and the explosion of published factors. (0:36:49) He explains the five-factor model and the addition of profitability and investment. (0:38:21) Dan asks about the intuition behind profitability and investment, especially why profitable firms might have higher expected returns. (0:39:38) Ben explains profitability through a multi-factor lens and inferred discount rates. (0:42:15) He argues that combining factors matters because single-factor portfolios can have offsetting exposures. (0:44:05) Dan points out that layering too many factors naively can just bring you back toward the market portfolio. (0:44:56) Ben discusses the tradeoff between diversified tilts and concentrated factor bets. (0:46:29) Dan describes factor tilting as a subtle adjustment around a diversified core portfolio. (0:46:47) Ben cites Fama's idea that investors need to "talk themselves out of the market portfolio." (0:47:16) He notes that there is still active debate over which factors and models truly make sense. (0:48:31) Dan explains why momentum is harder to implement in practice because of turnover, taxes, and trading costs. (0:49:23) Ben says even simple-sounding factors like value and profitability remain heavily debated in academia. (0:50:20) He brings the discussion back to practical relevance: how investors can access factor exposure through funds. (0:51:06) Ben explains Dimensional's roots in academic research and its long history of implementation. (0:52:48) He introduces Avantis as a newer competitor with similar academic foundations and newly launched Canadian ETFs. (0:53:42) Ben discloses that PWL uses Dimensional extensively, while noting they are not paid to mention Dimensional or Avantis. (0:54:09) He summarizes what factor investing means for investors seeking higher expected returns through systematic tilts. (0:55:47) Dan reflects on how early PWL's adoption of index and factor-based investing was in the Canadian market. (0:57:07) Ben invites listeners to learn more about how PWL applies this thinking in client portfolios. (0:57:41) The episode moves to the after show and review section. (0:58:21) Dan reads a listener review focused on evidence-based investing, planning, and disciplined saving. (1:00:23) Ben notes that they never actually named the paper during the main episode. (1:00:32) Dan closes with: the paper is Common Risk Factors in the Returns on Stocks and Bonds.     Links: Patrick Adams – MIT PhD Candidate: https://patrick-adams.com/  Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://pwlcapital.com/our-team/ Cameron on X — https://x.com/CameronPassmore Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

What if your biggest investment risk isn't the stock market—but your own income? In this episode, we are joined by Patrick Adams, a PhD candidate at MIT, for a fascinating deep dive into how income risk, spending commitments, and liquidity constraints reshape what "optimal" investing actually looks like. Drawing on large-scale administrative tax data, Patrick challenges the conventional wisdom that young investors should be heavily—or even fully—invested in equities. We explore why stocks appear safe over long horizons but become risky when real-world constraints force investors to sell at the worst possible times. Patrick explains how high-income households behave during market downturns, why their income risk is closely tied to stock market performance, and how consumption commitments like mortgages and childcare create hidden financial leverage. The conversation also introduces a new life-cycle model that incorporates these frictions—leading to surprisingly conservative optimal equity allocations for working-age investors. This episode reframes asset allocation as a problem of liquidity and risk management, not just return maximization.     Key Points From This Episode: (0:00:00) Introduction to the podcast and overview of the episode's focus on asset allocation and new research. (0:01:18) Patrick Adams' background, MIT PhD research, and how the paper was discovered. (0:07:08) Why stocks are considered safe for long-term investors based on historical returns. (0:08:37) When the "stocks for the long run" logic breaks down—forced selling during downturns. (0:10:35) Evidence: High-income households sell stocks during crashes instead of buying. (0:12:24) Data source: Administrative U.S. tax return data and its advantages/limitations. (0:14:23) Investors shift into fixed income during crashes rather than staying invested. (0:16:52) Financial reality: High wealth, but low liquid assets relative to income. (0:18:00) Human capital: Income is risky and correlated with stock market downturns. (0:20:15) Typical allocation: About 25% of liquid wealth in stocks for working-age households. (0:22:36) Higher-income households have more volatile flows and greater exposure to stock risk. (0:23:42) Income shocks drive stock selling—not just panic or behavioral mistakes. (0:25:29) Why households draw down assets instead of cutting spending sharply. (0:27:26) Consumption commitments (mortgages, childcare) act like hidden leverage. (0:27:57) Key risk factors: Income volatility, low liquidity, and inflexible expenses. (0:31:31) Traditional models vs reality: People don't cut spending—they use savings. (0:35:25) New model incorporates income risk, market crashes, and spending frictions. (0:38:33) Core finding: Optimal equity allocation for working-age investors is only 10–40%. (0:40:55) Practical takeaway: Asset allocation is fundamentally about emergency funds. (0:42:35) Higher fixed expenses require larger safe asset buffers. (0:43:49) Counterintuitive result: Retirees may optimally hold more equities than workers. (0:46:56) Scenario analysis: Selling during downturns destroys long-term returns. (0:49:12) Key drivers of results: Income-stock correlation and spending rigidity. (0:51:11) Why this model differs from others suggesting 100% equity portfolios. (0:53:20) When 100% equity could make sense: low risk, high wealth, high risk tolerance. (0:56:28) Personal impact: Patrick rethinks his own savings, risk, and spending commitments. (0:57:34) Advice for listeners: Focus on liquidity, income risk, and fixed expenses. (0:59:58) Defining success: Impactful research, teaching, and meaningful personal relationships.     Links: Patrick Adams – MIT PhD Candidate: https://patrick-adams.com/  Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://pwlcapital.com/our-team/ Cameron on X — https://x.com/CameronPassmore Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

In this episode, we unpack the growing tension in private markets—private equity, private credit, and private real estate—and examine whether their long-standing appeal holds up under scrutiny. With increasing pressure to bring these investments to retail investors, the discussion explores how illiquidity, valuation opacity, and complex fee structures may be masking risks rather than reducing them. We break down how private assets are marketed, why their "smooth" returns may be misleading, and what recent events—like gated funds and forced asset sales—reveal about their true risk profile.    Key Points From This Episode: (0:00:00) Introduction to the episode and overview of private markets as the main topic. (0:00:39) Clarifying PWL Capital's full-service wealth management approach beyond asset management. (0:03:24) Why private markets are under scrutiny and recent negative developments across asset classes. (0:06:36) The seductive sales pitch: higher returns, lower risk, and low correlation to public markets. (0:08:32) Private assets explained: what they are and why they appear less volatile. (0:10:06) "Volatility laundering" and the illusion of stability in private market valuations. (0:13:51) Retail investors entering private markets and the risk of adverse selection. (0:15:09) Liquidity challenges and the growing issue of gated funds. (0:18:33) Why illiquidity is especially problematic for retail investors with uncertain cash needs. (0:20:41) The debate over whether an illiquidity premium actually exists. (0:23:56) Trade-offs between liquidity and volatility in portfolio construction. (0:30:41) Evidence on private equity performance vs. public markets and the role of fees. (0:31:39) High dispersion in private equity returns and challenges of manager selection. (0:33:00) Continuation funds and evergreen structures raising valuation concerns. (0:36:00) Secondary market sales, NAV manipulation concerns, and "NAV squeezing." (0:40:00) Private credit risks, gating, and comparisons to publicly traded BDCs. (0:44:00) Insurance companies allocating to private credit and potential systemic risks. (0:45:02) Private real estate funds, liquidity issues, and IPO valuation shocks. (0:47:43) Public listings revealing large gaps between NAV and market prices. (0:49:34) Summary: private markets may be as risky as public ones, with added complexity. (0:49:44) Larry Swedroe's critique and the debate over private market outperformance. (0:52:00) Illiquidity premium vs. "smoothing as a service" debate. (0:54:00) Manager skill, persistence, and the challenge of accessing top-tier funds. (0:56:50) Final reflections on ongoing research and the importance of informed debate.   Links: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://pwlcapital.com/our-team/ Cameron on X — https://x.com/CameronPassmore   Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

What if factor investing in Canada became as simple—and affordable—as buying a single ETF? In this episode, we are joined by Eduardo Repetto, CIO of Avantis Investors, and Caitlin Ebanks, Director of ETF Strategy at CIBC, to unpack the long-awaited launch of Avantis ETFs in Canada. This conversation explores how a partnership built on client-first principles and fee discipline is bringing sophisticated, evidence-based investing strategies to Canadian investors in a dramatically more accessible way. We dive into the structure and philosophy behind the new ETF lineup, including how Avantis applies factor tilts, why implementation details like direct security ownership and low turnover matter, and how the new asset allocation ETF (CAGE) could simplify portfolio construction for DIY investors. Eduardo also shares insights into Avantis' research process, expected premiums, and the realities of tracking error, while Caitlin explains how CIBC is positioning these products within the Canadian ETF landscape. This episode is a deep dive into the evolution of factor investing—covering product design, pricing, portfolio construction, and the broader shift toward low-cost, transparent investment solutions.   Key Points From This Episode: (0:00:00) Introduction to the episode and the significance of Avantis launching ETFs in Canada. (0:00:42) Why this launch marks a major step forward in accessibility for Canadian factor investors. (0:02:52) Lower fees and simplified implementation remove key barriers to factor investing. (0:04:55) Background on Eduardo Repetto and Caitlin Ebanks. (0:08:12) Avantis surpasses $125B AUM and the drivers behind its rapid growth. (0:10:20) How the Avantis–CIBC partnership came together and aligned on client-first pricing. (0:13:04) CIBC's ETF strategy and rationale for partnering with Avantis. (0:14:49) Overview of the Avantis ETF lineup launching in Canada. (0:19:33) Fee structure, competitiveness, and expected MER approach. (0:21:25) Eliminating operational cost uncertainty from investor fees. (0:23:20) "Gas station sushi" and maintaining product quality. (0:25:08) Why ETFs were chosen over mutual funds as the primary vehicle. (0:28:29) Roles of Avantis and CIBC in managing and operating the ETFs. (0:29:32) Direct security ownership vs. ETF-of-ETF structures and tax implications. (0:31:23) Construction of the CAGE asset allocation ETF and its factor tilts. (0:33:46) Expected outperformance (1.5–2%) and tracking error (3–4%) ranges. (0:35:26) Transparency challenges and regulatory considerations in Canada. (0:37:26) How CACE differs from the TSX through profitability and valuation tilts. (0:40:13) Low turnover and tax efficiency considerations. (0:42:05) Long-term commitment to the ETF lineup and viability concerns. (0:43:44) Ongoing research and potential improvements to factor implementation. (0:46:07) Current research focus: improving profitability forecasting. (0:48:30) What excites Caitlin and Eduardo most about the launch. (0:50:41) Why CAGE could transform how Canadians implement factor investing.   Links: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://pwlcapital.com/our-team/ Cameron on X — https://x.com/CameronPassmore   Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

In this special 400th episode, the Rational Reminder hosts reflect on 50 years of index investing and the profound impact it has had on financial markets, investor behavior, and the cost of investing. The episode features a panel moderated by Ben Felix at the New York Stock Exchange—hosted by Vanguard and S&P Dow Jones Indices—bringing together leading voices in the indexing world to explore how passive investing evolved and what it means for the future of capital markets. Ben is joined on the panel by Tim Edwards (S&P Dow Jones Indices), Jim Rowley (Vanguard), and Shelly Antoniewicz (Investment Company Institute) to discuss the mechanics of indexing, the myths surrounding passive investing, and the evidence on how index funds affect markets. They unpack questions about market concentration, price discovery, and whether indexing is changing the structure of capital markets. Key Points From This Episode: (0:00:04) Introduction to the Rational Reminder podcast and the hosts from PWL Capital. (0:00:24) Celebrating the 400th episode and reflecting on nearly eight years of podcasting. (0:01:09) Dan Bortolotti discusses the early days of podcasting and the transition from the Couch Potato podcast. (0:02:11) The rise of podcasts and YouTube as major sources of financial education for investors. (0:02:49) How Rational Reminder grew after Dan ended his previous podcast and the demand for Canadian investing content. (0:03:47) The podcast reaches a record audience with over 384,000 views and downloads in January 2026. (0:04:19) Institutional investors—foundations, endowments, and unions—show increasing interest in PWL's low-cost index approach. (0:06:20) Why indexing can still be a difficult sell for institutional investment committees. (0:08:25) Peer effects in institutional investing: committees often hesitate to adopt strategies that seem unconventional. (0:09:11) 2026 marks 50 years since Vanguard launched the first retail index fund in 1976. (0:10:08) Ben moderates a panel at the New York Stock Exchange on the future of index investing. (0:11:55) Overview of the panel participants from Vanguard, S&P Dow Jones Indices, and the Investment Company Institute. (0:13:07) Discussion of research papers presented at the event examining index investing's market impact. (0:14:32) Historical context: the S&P 500 is currently as concentrated as it was in the mid-1960s. (0:15:36) The largest companies in 1965—AT&T, Kodak, GM, IBM—eventually faded from dominance. (0:17:43) A hidden advantage of cap-weighted indexing: investors automatically own future winners. (0:20:59) Debate about whether today's tech-heavy market concentration differs from past cycles. (0:23:30) The explosion of index funds and ETFs has created thousands of ways to implement passive strategies. (0:26:42) Technical improvements in ETF implementation, including lower tracking error and better hedging. (0:29:02) The "Vanguard Effect": index investing has driven massive reductions in investment fees. (0:29:38) Index funds account for about 23% of total U.S. market capitalization, not the commonly cited 50%. (0:32:48) Evidence suggesting index funds have not increased large-cap concentration in markets. (0:34:25) Passive funds represent only about 1–2% of daily trading activity. (0:36:16) Dispersion in stock returns remains high, meaning opportunities for active management still exist. (0:38:12) Panel begins: defining passive investing and why the term is more complex than it seems. (0:42:13) Who invests in index funds? Millions of households using them primarily for retirement savings. (0:45:22) How advisors and institutions use ETFs to build diversified long-term portfolios. (0:46:19) The surprising role of ETFs in trading and market liquidity. (0:48:30) The proliferation of niche ETFs raises questions about whether indexing has strayed from Bogle's vision. (0:49:49) Academic research offers conflicting views on indexing's effect on market efficiency. (0:52:27) Evidence suggests index fund growth has not increased market volatility. (0:54:25) Dispersion data shows indexing does not eliminate opportunities for stock picking. (0:57:15) Index funds own only about 30% of the U.S. stock market, leaving the majority in active hands. (0:59:42) Historical perspective: high market concentration has occurred before and eventually declined. (1:02:14) Research remains inconclusive about whether indexing harms markets. (1:05:25) Over 20 years, 94% of actively managed U.S. equity mutual funds underperformed the S&P 500. (1:06:20) Post-panel reflections and discussion with the Rational Reminder hosts. Links From Today's Episode: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://pwlcapital.com/our-team/ Cameron on X — https://x.com/CameronPassmore   Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

In this episode, we welcome back James Choi, Professor of Finance at the Yale School of Management, to unpack one of the most important—and misunderstood—questions in personal finance: How much of your portfolio should be in stocks? Drawing on his new paper, Practical Finance: An Approximate Solution to Lifecycle Portfolio Choice, James walks us through the classic portfolio choice problem first solved by Robert C. Merton, later extended by Francisco Gomes and co-authors, and now made dramatically more usable through a spreadsheet-based approximation. We explore how risk aversion, wealth, labor income risk, and expected returns shape optimal asset allocation, why simple rules like "100 minus your age" aren't terrible but still costly, and how James and his co-authors managed to approximate a complex dynamic optimization model with an error of less than 0.1% in lifetime welfare.   Key Points From This Episode: (0:04) Introduction and why this episode delivers on "mathy roots." (1:10) James Choi's new paper: Making lifecycle portfolio choice solvable in a spreadsheet. (5:15) The portfolio choice problem: How much should you allocate to stocks versus risk-free assets? (6:09) The classic Merton (1969, 1971) solution and the "Merton share." (8:00) The equity premium formula: Expected excess return ÷ (risk aversion × variance). (11:20) Extending the model to risky labor income (Cocco, Gomes, and Maenhout). (14:27) Why labor income behaves bond-like—even when it's risky. (16:33) How wealth, risk aversion, and labor income characteristics affect optimal equity allocation. (20:52) Transitory vs. permanent labor income risk—and why permanent risk matters more. (23:04) Solving thousands of parameter sets to approximate optimal lifecycle allocations. (27:09) How close is the approximation? ~3–4 percentage points on average, with (29:56) Comparing to rules of thumb: 100 minus age and 60/40. (32:08) Why 0% equities is often far worse than 100% equities. (33:33) What the optimal allocation typically looks like over the life cycle. (38:55) Walking through the publicly available Google Sheet to calculate your allocation. (44:39) Estimating your risk aversion using a coin-flip thought experiment. (46:08) Forecasting future labor income and using wage imputation. (48:05) Why housing is excluded—and why it's so hard to model. (50:35) How often you should update your assumptions (hint: not often). (53:06) Leverage, constant leverage ETFs, and why young investors might rationally use them. (58:55) Discussing lifecycle advice from Scott Cederburg and co-authors. (1:07:40) What practical finance problem James wants to tackle next (hint: the 4% rule and retirement spending). Links From Today's Episode: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://pwlcapital.com/our-team/ Cameron on X — https://x.com/CameronPassmore Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

In this episode, we sit down with Tom Hardin, also known as "Tipper X," the former hedge fund analyst who became one of the most prolific informants in the largest insider trading crackdown in U.S. history. Tom walks us through his journey from rule-following soccer referee in Georgia to Ivy League graduate and rising Wall Street analyst—before crossing the line into insider trading at age 29. What makes this conversation so compelling is not just the crime, but how ordinary it felt at the time. Tom explains how small rationalizations, cultural pressures, ambition, and the normalization of questionable behavior gradually eroded his ethical boundaries. After being arrested and recruited by the FBI, he wore a wire 48 times and helped build over 20 cases in Operation Perfect Hedge, exposing widespread misconduct across the hedge fund industry. We explore the psychology of ethical failure, the "fraud triangle," moral licensing, and the difference between ethics in the classroom and ethics in the real world. Tom also reflects on redemption, forgiveness, mentorship, and how he now defines success after losing his finance career.   Key Points From This Episode: (0:04) Introduction to Tom Hardin, former hedge fund analyst turned FBI informant. (5:15) Tom's conviction: One count of securities fraud and one count of conspiracy after four illegal trades netting $46,000. (6:11) Early life as a rule-following soccer referee and how ambition shaped his identity. (8:07) The hedge fund world as a meritocracy—high pressure, high stakes, and performance-driven culture. (9:13) How insider trading networks operated openly in certain hedge fund circles. (12:21) The legal definition of insider trading: material non-public information and breach of fiduciary duty. (15:25) How difficult it is to consistently generate returns without some form of edge. (16:26) The first insider tip—and the rationalizations that followed. (19:03) The "fraud triangle": pressure, opportunity, and rationalization. (22:16) Placing the first illegal trade—and feeling almost nothing. (24:39) Peer validation and the normalization of wrongdoing. (28:38) The 6:30 a.m. arrest and being approached by the FBI. (31:43) Deciding to cooperate—and becoming "Tipper X." (36:24) Learning to wear a wire and extract incriminating statements over multiple meetings. (38:26) Inside Operation Perfect Hedge: 81 individuals charged, 32 cooperators. (39:28) The chilling effect on hedge funds and the possible decline of illicit "edge." (42:12) Being publicly unmasked as Tipper X and the personal cost to his family. (44:02) Why ethical failures are incremental—not sudden transformations. (45:11) The gap between academic ethics and real-world psychological pressure. (46:57) The role mentorship could have played—and how culture shapes behavior. (50:29) Tom's view on hedge funds for retail investors: high fees, limited liquidity, and questionable value. (52:04) Ethical drift, rationalization, and warning signs to watch for. (52:35) Redemption: Owning mistakes fully and learning to forgive yourself. (55:02) Redefining success—relationships, honesty, and meaningful contribution.   Links From Today's Episode: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Dan Bortolotti — https://pwlcapital.com/our-team/ Dan Bortolotti on LinkedIn — dan-bortolotti-8a482310  Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)