Dr. Brian Portnoy and Josh Brown’s book How I Invest My Money, captures the stories and investment strategies of 25 top financial advisors. The book highlights that while there are established dogmas that tell you how and why you ought to invest, there is no ‘one-size-fits-all’ way to invest. Today we speak with Brian and Josh about the key insights that we can derive from their work. We open our conversation by exploring how they conceived and developed their book before talking about why fully rational investing is a myth. After diving into how we allocate money to solve our unique needs, Brian and Josh share how people use their portfolios to express themselves. We then discuss common investing themes in the book, including how most advisors have an aversion to debt, and how their experiences have guided their strategies and outlooks. From why we should place more value on social and human capital, we look into why financial planning has a profound impact on how you manage your investments. We touch on direct indexing, the relationship between money and happiness, and the unexpected yet incredible perspectives that came from giving advisors a license to tell their stories. Near the end of the episode, Brian and Josh reflect on how their book might have changed their views and how their work fits into their visions for the financial industry. Tune in to hear more on the usually secretive topic of how financial advisors invest their money.   Key Points From This Episode: Introducing Brian Portnoy and Josh Brown, authors of How I Invest My Money. [0:0:15] Why we invest and reflections on commentary made by the Rational Reminder community. [0:02:58] Josh shares his motivations for being transparent on where and how he invests. [0:05:25] Hear about the genesis and subsequent development of Brian and Josh’s book. [0:07:19] The common needs that individual investors have beyond getting a return. [0:10:18] How the uniqueness of everyone’s life affects their investing decisions. [0:13:09] Why there is no strict ‘right way’ to invest — invest according to what’s right for you. [0:14:35] ESG investment and seeing your portfolio as a form of expression. [0:17:21] Exploring common investment themes that arise in Josh and Brian’s book. [0:20:07] How Brian and Josh developed their personal investing outlooks. [0:21:44] Why we should place more value in human and social capital. [0:25:16] Brian expands on why we should invest in human and social capital. [0:28:35] The importance of financial planning in managing both your life and investments. [0:31:50] Answering the question: is direct indexing the future for outcome-driven portfolios? [0:36:55] Assessing a client’s risk profile as central to modern financial advising. [0:39:34] Portfolio customization and direct indexing versus helping clients create a portfolio around their purposes. [0:40:58] Funding contentment and the relationship between money and happiness. [0:42:22] Whether the stories featured in their book have Brian and Josh’s views. [0:46:18] When your life is your benchmark, how do you derive your portfolio benchmark. [0:49:15] How their book fits into Brian and Josh’s visions for their industry. [0:54:43]

On today’s show, we explore rational explanations for pricing bubbles, how the concept of human capital relates to financial decisions, and a whole lot more! We kick things off with a discussion of Ashley Whillans’ book Time Smart, which explores proven strategies for improving your ‘time affluence’. Diving into this week’s portfolio topic, we use a previous discussion about Carlota Perez’s model for technological revolutions as a springboard to introduce Lubos Pastor and Pietro Veronesi’s mathematical arguments that present a rational explanation for pricing bubbles. Perez maintains that prices get bid up too high during technological revolutions due to ‘frenzy’ but we unpack two papers by Pastor and Veronesi where they argue differently, drawing on the concepts of uncertainty and discount rates. From there, we dive into the relationship between human capital, life insurance and asset allocation for our planning topic. We provide some definitions for the term ‘human capital’ and discuss how it differs from other forms of capital. A key idea we explore here is that the more risky your human capital is, the less life insurance you should take out. Along with this, you’ll hear a few quick suggestions for how you should approach life insurance and bonds depending on age, financial wealth, risk aversion, and other factors. Tune in today!   Key Points From This Episode: Talking COVID, next week’s guests and Rational Reminder Community updates. [0:0:18] Book of the week: Rethinking conventional notions of time well spent in Time Smart. [0:04:07] News updates: Stories about Bitcoin, marijuana stocks, and more. [0:08:56] Portfolio Topic: Whether pricing bubbles are caused by rational behaviour. [0:14:19] Unpacking Pastor and Veronesi’s paper connecting uncertainty to high prices. [0:18:25] Pricing bubbles as caused by discount rates; a second Pastor and Veronesi paper. [0:27:48] ‘IPO waves’ connected to the bubble discussion in a third Pastor and Veronesi paper. [0:37:58] Planning topic: How the concept of human capital relates to financial decisions. [0:44:45] The importance of considering asset allocation decisions and life insurance needs together. [0:54:46] Bad advice of the week: ‘The Market’s Invisible Guardrails Are Missing’. [1:01:16]

Professor Lubos Pastor, renowned for his finance research, discusses the impact of political cycles on stock returns, the relationship between green assets and expected returns, and challenges conventional wisdom on stock volatility. He also addresses the effectiveness of quantitative easing in boosting the economy and the influence of market-wide liquidity on stock prices.

As counter-intuitive as it may seem, most of the companies that push us into the next technological revolution deliver poor investment returns. Today we look at current and historical data to show why this is the case but first, we chat about the top financial news of the week. Borrowing heavily from Carlota Perez’s Technological Revolutions and Financial Capital, we then explore how the links between tech revolutions and investing adhere to a consistent model. Following this model, we discuss how our current information-led revolution is as impactful as revolutions experienced in previous generations. We touch on the factors that lead to innovation, historical perspectives of technology companies, and the many investing phases resulting from tech revolutions. Despite making for poor returns, we talk about why the frenzy of investing that accompanies innovation is good for that industry and leads to a golden age of tech adoption and growth. A key takeaway, we dive into how investors are paying too much for the expected growth of new companies and that there is little to no link between massive growth and high stock returns. From guessing the next IPO winner, we move to our planning topic of the week — how to be a successful household CFO. We close this episode with our bad financial advice of the week. There’s a lot of pressure in the market to invest in tech. Despite that, tune in to hear why you shouldn’t invest in the next technological revolution.   Key Points From This Episode: Hear about host Benjamin Felix’s burgeoning 3D printing addiction. [0:0:06] Sharing listener feedback and messages from the Rational Reminder community. [0:02:02] Robinhood and why users are treated as the product, not the customer. [0:04:33] News on what might be the largest cash raise in IPO history. [0:07:25] How most ETF assets are in products that were launched prior to 2015. [0:09:24] Benjamin shares details about his project exploring the value of investing in tech revolutions. [0:11:05] Modelling the consistent sequences that technological revolutions follow. [0:14:38] Why current tech revolutions are as powerful as those experienced in previous generations. [0:16:55] Which common factors lead to tech revolutions. [0:18:31] Looking at historical examples of innovations and the performance of tech companies. [0:20:35] Why innovative big companies become unable to lead the next tech revolution. [0:23:18] How explosive growth and a frenzy of investment is common during early tech breakthroughs. [0:29:30] Signs that our current tech bubble has begun to pop. [0:34:45] The benefits of investment frenzy phases for tech industries and society as a whole. [0:36:15] Exploring what happens after phases of investment frenzy. [0:38:10] Evidence showing that investors pay too much for the expected growth of new companies. [0:42:42] Why there is no link between massive industry growth and stock returns. [0:50:00] Applying lessons from our discussion to our current investing environment. [0:52:03] Why you probably shouldn’t put your money in the technological revolution. [0:58:04] How people operate as unofficial CFOs within their households. [01:02:45] The many tasks that household CFOs need to perform. [01:05:20] Bad advice of the week; swap your bonds for dividend-paying stocks. [01:10:42] Why increasing inflation may be a key post-pandemic government strategy. [01:15:40]

There are seven equations that, if understood, will put you in the best possible position to tackle your retirement plan. Today we speak with business professor Moshe Milevsky about these equations, which he’s written extensively about in his best-selling book, The 7 Most Important Equations for Your Retirement. After introducing Moshe, we dive straight into the first equation that maps out the longevity of your money. Following this, we talk about determining how long you will live by comparing your biological and chronological ages. Regarding the third equation, Moshe provides his insights into evaluating the usefulness of an annuity plan, and at what age they become relevant to you. We then chat about what annuity plans are offered in Canada versus elsewhere and why people don’t want to buy annuities during a bull market. Despite the popularity of the ‘4% spending rule’ — which we also unpack — Moshe discusses the importance of being adaptable with your retirement spending rates. Reflecting on the key theme of another of his books, we explore the question of whether people are stocks or bonds. Moshe shares some investing advice for younger listeners and touches on what the ideal mix of stocks, bonds, and human capital looks like. For the last equation, we look into the impact of probability frameworks and why financial advisors need to understand the math behind retirement plan probabilities to make meaningful recommendations. Throughout our discussion, Moshe presents coherent answers and pragmatic advice. Tune in and learn more about the equations needed to build the best possible retirement plan.   Key Points From This Episode: Introducing today’s guest, Professor Moshe Milevsky, and his work. [0:0:15] Exploring Moshe’s book, The 7 Most Important Equations for Your Retirement. [0:02:57] Mapping the longevity of your money according to Moshe’s ‘Fibonacci Equation.’ [0:03:25] Determining how long you will live when planning your retirement funds. [0:04:37] Understanding the difference between your biological and chronological age. [0:06:22] A challenge to our retirement system; it’s based on chronological and not biological age. [0:08:45] Introducing the concept of annuities and how they can be valued. [0:10:03] Striking a balance with your annuity plan and answering — “How much is too much?” [0:11:42] Moshe shares his thoughts on how much insurance companies factor in biological age. [0:14:04] Ideas on using your biological age to your advantage. [0:15:35] Why you probably shouldn’t even consider getting an annuity until you’re 60. [0:17:16] Canadian annuity plans versus elsewhere; “The shelf feels empty here.” [0:18:30] The correlation between being in a bull market and people not wanting annuities. [0:20:35] Establishing your ideal retirement spending rates — flexibility is important. [0:25:25] Unpacking the ‘4% rule’ and why it’s a ridiculous spending framework. [0:28:04] What your mix between stocks, bonds, and human capital should be. [0:31:08] Answering the question — are humans stocks or are they bonds? [0:33:28] Leveraging youth to get quicker exposure and equity. [0:36:03] Life insurance and measuring your financial legacy. [0:39:10] Details on the life of Andrey Kolmogorov and his effect on understanding probability. [0:40:54] How important probability frameworks and analysis are to retirement planning. [0:43:17] The impact of low-cost index funds on retirement income planning. [0:45:18] Keeping finance students engaged in the industry. [0:47:24] How Moshe defines success, his other research interests, and reflections on the success of his books. [0:49:53]

Despite the mountain of evidence against it, day trading is thriving. Today we dive into the research and explore why the practice is alive and well before answering the question — “Can too much confidence lose you money?” After touching on investing news, listener feedback, our books of the week, and our take on the ‘Ultimate Ned Debate,’ we open our discussion on day trading. In our conversation, we look at the results of numerous papers on the topic, none of which present-day trading as sound financial practice. We shed light on the reasons that people day trade, the performance differences between traders, what a day trader’s learning process looks like, stock-picking strategies, and why it’s impossible, except in outlier cases, to earn a living as a day trader. As we unpack the literature, we discuss key insights on the impact of day trading on the financial world. From one investing sin to another, we talk about how overconfidence can harm your investment performance. We balance the positives and negatives of having confidence, highlighting how too much confidence can lead to poor decision-making and a false sense of how much you know. Tune in to hear some of the latest investing news and to learn more about the pitfalls of day trading and overconfidence.   Key Points From This Episode: Acknowledging the 33rd anniversary of Black Monday. [0:01:08] How the podcast is faring against other podcasts within the investing category. [0:02:07] News on past and upcoming episodes and responding to listener feedback. [0:04:09] From technological revolutions to starting with a ‘why’, we explore the books of the week. [0:07:23] Top news story; Fidelity Magellan Fund is moving to an ETF format. [0:12:06] Weighing in on the “Ultimate Nerd Debate” on the value and risks of small-cap allocation. [0:14:45] Why performance doesn’t change when you invest in a fund using a different currency. [0:19:12] Introducing today’s portfolio and planning topics — day trading and overconfidence. [0:21:56] Examining the data sets and papers that assess the effectiveness of day trading. [0:23:48] Analyzing two competing theories that explain the behaviour of day trading. [0:25:57] Attributing a portion of all portfolio return losses to the effects of day trading. [0:30:39] Comparing the performance of the best and worst day traders. [0:33:52] Why it might be impossible for you to earn a living as a day trader. [0:36:58] Applying Michael Mauboussin’s ‘Paradox of Skill’ to day trading. [0:39:50] Three reasons why people still day trade, despite evidence that they make for bad investments. [0:42:38] Which stocks day traders trade and how they pick their stocks. [0:45:42] Why overconfidence can turn you into your worst enemy. [0:50:25] Trends in which investors develop an inflated sense of how much they know. [0:56:02] Hear this week’s bad advice of the week; ignore the data and only invest in excellent companies. [01:01:24]

Good decision-making is a fundamental part of achieving our goals, so getting better at it would be in anybody’s best interest. Here to talk about making better decisions is Annie Duke, expert poker player and author of How to Decide: Simple Tools for Making Better Decisions, and Thinking in Bets. Annie starts by defining what a good decision should look like and some of the steps involved. From there, we explore the idea of how to accommodate the fact that our preferences change and we sometimes do not even know what they are in our decision-making processes. Uncertainty is a big part of what makes future choices difficult, and Annie talks about how it is caused by either luck or ignorance, the latter of which we can control, thereby reducing uncertainty as much as possible. Another big theme today how to know which decisions to spend time on and which not to. We waste a lot of time on choices that do not affect our happiness much, and on the other end of the scale, big choices often are hard because the different outcomes they present look quite similar. Annie gives us a few tools to deal with both scenarios. Toward the end, Annie dives deeper into what a good decision involves, talking about the need to step outside our beliefs by building an evidentiary record of the process which involves outside input. Tune in for a fascinating conversation that will help you get better at choosing.    Key Points From This Episode: Introducing today’s guest, Annie Duke, and her work on decision-making. [0:00:16.3] The definition of a good decision and the steps involved in making one. [0:02:51.3] Examining probabilities of potential choices and the beliefs informing the examination. [0:05:00.3] Factoring in the possibility of preferences changing while making decisions. [0:08:56.3] Beliefs as formed by actions, and how to not see a change in course as failure. [0:13:30.3] When our preferences are clear and when they are not. [0:15:00.3] Dealing two kinds of uncertainty, one based on luck and the other on ignorance. [0:16:39.3] How to know how much time to spend on making decisions, and the need to record the process. [0:20:49.3] Using the ‘happiness test’ to judge decisions and free up time for the important ones.[0:27:46.3] Choosing ‘quittable’ things to gather information for more binding decisions. [0:30:03.3] Doing things in parallel so you don’t have to make one choice. [0:31:57.3] Understanding that choices become hard when they present similar outcomes, thus that it is not sensible to deliberate too long. [0:32:32.3] How to speed up the harder decisions; the ‘only option test’. [0:35:47.3] Involving others while producing an evidentiary record of a decision-making process. [0:37:11.3] How often we should aim to update our beliefs, making them less subjective. [0:37:11.3]

Thank you for tuning in to this episode of the Rational Reminder. We start this show with some great news about the comment section and our migration to Discourse. Having an open dialogue has always been crucial for us—it has even led to our latest hire—so we felt it was time to add more structure to it. We then talk about mortgage rates and why so many people do not know that it is possible to negotiate them down even further. There is often a big gap between what is publicly advertised and what you can actually get, so it’s worth shopping around. Following this, we touch on IPOs, SPACs, and why some are saying it is similar to 1999. In the heart of this discussion, we unpack the relationship between the US election and stock market returns. If you are like Ben, perhaps you thought there is not much material difference, and while over the short-term there is not, the election cycle data is truly astonishing. We find out the fascinating explanation of why there are higher excess returns under Democratic leadership, and it is probably not what you think! Moving on, we chat with our newest advisor Jordan Tarasoff where he sheds light on his previous employment at a sales and product-centric advisory firm. We talk about how this affects both the customer and the advisor, and Jordan ends with talking about his positive time at PWL so far. To hear more, be sure to tune in today!    Key Points From This Episode: Some great news about migrating the comment section to Discourse. [0:00:09.3] The new PWL team member we are welcoming and our shop opening. [0:01:27.3] Why Cameron recommends everyone watch The Social Dilemma. [0:04:19.3] Recommended books: Open and Succession Planning for Financial Advisors. [0:08:27.3] Results from a survey around people’s knowledge of mortgage rates. [0:11:43.3] Some of the reasons that mortgages can be tricky. [0:14:20.3] What is happening with IPOs and why it is being likened to 1999. [0:15:26.3] Insights from Hendrick Bessembinder about how investors should use his findings to structure their portfolios. [0:19:16.3] A follow up about safe withdrawal rates we touched on a while back. [0:21:44.3] Today’s investment topic: The US election and stock market relationship and Ben’s assumptions prior to research. [0:24:13.3] Are returns affected by US elections? Hear Ben’s findings. [0:27:26.3] The relationship between beliefs and optimism in the market. [0:30:31.3] Unpacking the link between volatility and the election. [0:32:09.3] Looking long-term at the stock market through election cycles. [0:33:14.3] How the timing of a Democratic president being elected results in positive excess returns. [0:39:26.3] The short-term effects of the election are minimal compared to changes over an entire election cycle. [0:44:39.3] Get to know Jordan Tarasoff, PWL’s newest advisor, and his previous experience. [0:47:01.3] Some of the conflicts and tension Jordan experienced in his former advisory role. [0:49:33.3] What to keep in mind about adding segregated funds to your portfolio. [0:54:47.3] Why you should not put a great deal of money into life insurance. [1:01:11.3] The flawed hiring model that Jordan experienced at his former workplace. [1:02:49.3] Jordan’s advice for anyone with a product-centric financial advisor. [1:05:49.3] What PWL does better, according to Jordan. [1:07:55.3] Bad advice of the week! [1:08:57.3]

What are the psychological conditions that allow investors to make rational decisions, and how do these processes of decision-making occur? These are the questions that our guest, Victor Ricciardi, is dedicated to answering and what he is here on the show today to talk about! Victor is the Visiting Assistant Professor of Finance at Washington and Lee University as well as the Coordinator of Behavioral and Experimental Research at the Social Science Research Network. He has an MBA in finance and an advanced professional certificate in economics from St. John's University and holds graduate certificates in personal financial planning and financial therapy from Kansas State University. Victor is the co-author of Investor Behavior: The Psychology of Financial Planning and Investing, in which he and H. Kent Baker explore and unpack the exact topics we look at in this episode. In our conversation, we talk about the steps that investors can take in order to make better decisions, and for Victor, this means maintaining a balanced portfolio and recording the circumstances and conditions in which decisions are made. Victor's starting point for better investing is self-knowledge and understanding one's own psychology and risk tolerance. He also underlines becoming familiar with the environments that allow you to make the best decisions and refining this wisdom over time. We also dig into the topics of the subconscious, checking biases, and financial therapy, so make sure to join us to hear it all.   Key Points From This Episode: The history of academic studies on investor behaviour. [0:02:11.2] Victor's thoughts on the rational decisions investors should aim for. [0:04:50.5] The idea of 'bounded rationality'; sufficing and the factors that influence decisions. [0:06:38.9] Benefits and dangers of group investments — more or less rationality. [0:09:43.2] Weighing the usefulness of heuristics in the investment process. [0:11:54.1] The role of the subconscious in human decision-making. [0:13:33.8] Victor's thoughts on sustained commitment to active investing, despite the evidence. [0:15:45.6] The framing of information and the impact this has on investor behaviour. [0:19:09.5] A five-factor model for personality; extroversion, agreeableness, conscientiousness, neuroticism, and openness to intellect. [0:22:33.4] Unpacking the emerging profession of financial therapy and Victor's thoughts on its benefits. [0:28:36.3] The relationship between money and happiness; the importance of options. [0:31:42.7] Methods for checking our biases; education, simplicity, rebalancing, and more! [0:33:44.3] Prioritizing trust and ways to ensure that received advice is dependable. [0:35:38.2] The effect of access to free information and weighing the helpfulness of the internet. [0:37:47.2] The application of behavioural bias models to the real estate market. [0:39:38.6] Victor's personal definition of success: Impacting students. [0:41:49.4]

For the first part of today’s discussion, we are joined by Don Coletti from The Central Bank of Canada. He is here to talk about their upcoming recommendation for a monetary policy framework for the next five years which is incorporating public feedback into its development through the survey, Lets Talk Inflation. From there, we touch on some favourite books, Starbucks’s stored value card liabilities, the benefits of keeping inheritance in a separate account, new standards for financial planners and advisors proposed by the FSRA, and why SoftBank did not pile into call options and cause the rally in tech as the previous headlines suggested. Heading into the meat of the episode next, Ben shares some findings from a model he built inspired by a program written by one of this show’s listeners that tests historical safe withdrawal rates for factor loaded portfolios. Ben gets into a series of papers that speak to the diversification benefit of adding factors in this section too. He wraps up the discussion with a spanner in the works though, which looks at this question through the lens of time-series momentum rather than cross-sectional momentum. Here, he considers trend following as another type of diversification that has shown favourable impacts on portfolio returns in the data that exists. As usual, we wrap up with our bad advice of the week, hearing Cameron relate the bizarre ‘findings’ of a Forbes article claiming that active management beats passive investing in the face of piles of data to the contrary!   Key Points From This Episode: Updates: An upcoming guest, great reviews of this show, and the brilliant discussions thread. [0:00:23.0] Introducing Don Coletti to talk about The Bank of Canada’s outreach programme. [0:04:52.0] Alternative approaches to monetary policy the Bank of Canada is considering. [0:07:19.0] Thoughts on the US Federal Reserve’s change to average inflation targeting. [0:11:43.0] How open the Bank of Canada is to making a change. [0:13:14.0] Why the Bank of Canada is placing more emphasis on engaging with the public as part of their renewal. [0:14:35.0] Why questions about large scale asset purchases and forward guidance were included in the survey. [0:17:00.0] The response rate so far to the Bank of Canada’s Let’s Talk Inflation survey. [0:18:59.0] Favourite books and series, and Starbucks’s stored value card liabilities. [0:21:50.0] The benefits of keeping inheritance in a separate account. [0:26:24.0] Standards for financial planners and advisors the FSRA is proposing. [0:28:20.0] Why SoftBank was not piling into call options and responsible for the rally in tech. [0:31:43.0] Ben’s remodelling of a listener’s code that tests historical safe withdrawal rates for factor loaded portfolios. [0:34:40.0] Safe withdrawal rates for different stock indexes according to Ben’s model. [0:37:15.0] A paper looking at the interaction between factors historically and the results this produced. [0:47:52.0] Findings of a paper looking at the five factors through business cycles. [0:56:57.0] Papers exploring whether a factor can be cheap and therefore have a higher extended premium. [1:00:41.0] The shadow time-series momentum casts on this; the impact of trend following on safe withdrawal rates. [1:02:46.0] Bad advice of the week: Active management beats the stock market. [1:15:51.0]