Episode 281: Lifecycle Asset Allocation, and Retiring Successfully with Justin King

<p>Today, we take a closer look at asset allocation through an empirical lens, by drawing on the work and data of Scott Cederburg and his new article ‘Beyond the Status Quo: A Critical Assessment of Lifecycle Investment Advice’. We unpack what the research tells us about how to establish the optimal mix of assets in a portfolio, the challenges of making the right decisions when you have volatile assets, and why it’s critical that you understand your level of risk tolerance. Next, in our Mark to Market segment, we unpack different types of insurance — like life, disability, and critical illness — and when you should own them personally versus making them the property of your corporation. We then review Justin King’s new book <em>The Retirement Café Handbook: Nine Accelerators for a Successful Retirement</em> before sitting down with the author himself to discuss the content of his latest work and his long-held interest in helping others optimize for retirement. Tuning in you’ll hear Justin share his thoughts on the role of choice, vitality, and joy when it comes to having a successful retirement, the nine accelerators he lays out in his book, and how to become the hero of your retirement story. In our final section, we wrap things up with some wonderful reviews from listeners and our book recommendations. To hear all of the captivating takeaways from today’s episode, be sure to tune in!</p> <p><strong>Key Points From This Episode:</strong></p> <p> </p> <ul> <li>Breaking down asset allocation through an empirical lens; finding the right mix of assets in a portfolio, common challenges, and measuring risk. <strong>(0:02:12)</strong></li> <li>The role of government pensions when considering asset allocation over one’s life. <strong>(0:09:10)</strong></li> <li>Investigating whether volatility is risk; modeling the lifecycle of an investor and determining if (and when) it makes sense to shift into bonds over time. <strong>(0:11:27)</strong></li> <li>Analyzing the data, modelling, and findings from the paper, ‘Beyond the