Risk Parity Radio

In this episode we answer emails from Dave, Bob, and Waldo.  We discuss how Monte Carlo simulations differ depending on their basis and how they differ from historical back-tests, the problem of trusting retirement calculators without understanding the assumptions inside them and choosing the correct assumptions, why the Golden Ratio portfolio is built for bad decades, and why a scary brokerage warning screen is often just strategic butt covering and marketing.

And THEN we our go through our weekly portfolio reviews of the eight sample portfolios you can find at Portfolios | Risk Parity Radio.

Additional Links:

Jesse Cramer Best Interest Podcast Episode 134:  Even Financial Advisors Misunderstand Monte Carlo Retirement Analysis (E134)

Yours Truly on Best Interest Podcast:  Are You Hoarding, Hustling, or Harvesting in Retirement? - E144
The Four Quadrant Model Exquisitely Explained With Illustrations Inspired By Vermeer:  The Four Quadrant Wealth Atlas.pdf - Google Drive

Four Quadrant Model Video:  Understanding Correlations and Diversification Using the Four Quadrant Model

Minimize Your Miss Article About The Golden Ratio Portfolio:  Minimize Your Miss – Portfolio Charts
Breathless Unedited AI-Bot Summary:

One retirement tool says you’re fine. Another says you’re headed for disaster. If you’ve ever run a backtest, then hit “Monte Carlo” and watched your plan implode, we get why that feels like whiplash and we also know it’s usually explainable.

We walk through a listener’s withdrawal-rate question and break down the real reason these results diverge: the construction of the simulation. We explain parameterized Monte Carlo (assumed returns and standard deviation on a normal distribution) versus historical Monte Carlo (scrambled real return data), why fat tails and skewness matter, and how limited datasets for assets like international stocks or REITs can quietly distort the numbers. We also share a simple rule for better decision-making: stop hunting for a “perfect” portfolio in a calculator and start comparing Portfolio A to Portfolio B across multiple tools until the relative story stays consistent.

From there, we connect the math to portfolio design. We talk about why worst-case decades drive safe withdrawal rate research, why a decumulation portfolio has different goals than a stock-heavy accumulation portfolio, and how the Golden Ratio approach fits into a four quadrant model across inflation and growth regimes. Then we tackle a very practical worry: Fidelity’s scary designated investments agreement screen when buying a gold ETF like GLDM and why that warning is often more about liability and business model than unique risk.

If you find this helpful, subscribe so you don’t miss the weekly portfolio reviews, share it with a friend who’s modeling retirement, and leave us a rating and review so more DIY investors can find the show.

Support the show

In this episode we answer emails from Geraldo, Robin, Roy, and Daniel.  We catch up on where we've been and our Camino and the Walk For McKenna, and then shift into discussions of donor-advised funds for charitable giving, a new-fangled auto-callable “income” ETF (a/k/a another "shiny object" -- also check out Episode 504), and review a retirement portfolio and a proposal to shift from a bond fund to individual long term treasury bonds.

Links:

Daffy CEO Interview:  A Donor-Advised Fund For You (Daffy): Democratizing Philanthropy for Everyone | Adam Nash | 200

CAGE/CAIE Descriptions:  Autocallable ETFs | Calamos Investments

Testfolio Analysis of CAGE and CAIE vs. VOO:  Asset Analyzer for ETFs, Stocks, and Funds | testfolio

Rational Reminder on Leveraged ETFs:  The Truth About Leveraged ETFs | Rational Reminder 430

ETF Slop Video:  The Rise of ETF Slop

Ben Carlson Article on Bond Funds vs. Bondsb:  Owning Individual Bonds vs. Owning a Bond Fund - A Wealth of Common Sense

Breathless Unedited AI-Bot Summary:

A “guaranteed 14% return” headline is the kind of thing that can hijack a smart investor’s brain in seconds, especially when retirement is getting real. We dig into why these slick new income products spread so fast, how auto-callable and options overlay ETFs are structured, and why a big distribution is not the same thing as a better outcome. Our north star stays simple: build for total return, diversification, and tax flexibility instead of buying something just because it feels like a paycheck.

We also answer a practical charitable giving question that comes up constantly for DIY investors: should you use a donor-advised fund to support a spouse’s 501(c)(3) charity, and how should you time contributions? We talk through the “trust but verify” checklist with DAF providers, when donating appreciated shares might be even better, and how donation bunching can help if your income varies year to year. If you’re trying to align a risk parity style allocation with consistent giving, this is the clean planning layer that often gets missed.

From there, we tackle retirement portfolio mechanics: whether it ever makes sense to swap a long-term Treasury bond ETF (like VGLT) for an individual 30-year Treasury to lock in a coupon. The key takeaway is that long Treasuries in an all-weather or risk parity portfolio are usually held as recession insurance and rebalancing power, not as an income product. Liquidity and the ability to rebalance matter, and simplicity matters even more when you consider what your future self or your heirs will have to manage.

If this helped you think more clearly about charitable giving, retirement income strategy, and avoiding shiny object ETFs, subscribe, share the show with a friend, and leave a review. What investing product have you been pitched lately that sounded amazing on the surface?
Support the show

In this episode we answer emails from Michael, Matt, and Ron.  We discuss books for a 30-something family man and practical advicbe for approaching non-fiction more efficiently in the age of AI ChatBots, the world's most famous Easy Chair, and how EDV can work in a risk parity style portfolio. 

And THEN we our go through our weekly portfolio reviews of the eight sample portfolios you can find at Portfolios | Risk Parity Radio.

Additional Links:

The World's Most Famous Easy Chair:  Easy Chair.jpg - Google Drive

Catching Up To FI Podcast With Yours Truly in Said Easy Chair:  Are Bonds Dead?: Fixed Income Fundamentals (Part 1) | Frank Vasquez | Episode 229

Bigger Pockets Money Podcast feat. Yours Truly:  We Built a 5% SWR Retirement Portfolio Using Fidelity in 48 Minutes (Golden Ratio Portfolio)

AI Agent Folllies with Hannah Fry:  Why AI Agents are either the best or worst thing we’ve ever builtb

Breathless Unedited AI-Bot Summary:

Most personal finance advice fails for one simple reason: it ignores where you actually are. We start by answering a listener’s question about book recommendations, but we do it through a framework that makes the whole money world easier to navigate: four investor levels, from budgeting and cash flow, to early-stage investing, to low-cost index fund competence, to more advanced goal-driven portfolio design. Along the way, we call out the “shiny object” traps where media and marketing keep people stuck buying products instead of building skills.

From there we get practical about learning efficiently in 2026: use AI to summarize popular personal finance books, compare what overlaps, and only read the ones that truly fit your family. We talk through standout titles like The Psychology of Money, The Simple Path to Wealth, Die With Zero, and Just Keep Buying, then pivot to what matters most for couples in their 30s with kids: getting on the same page. We share resources built for real relationships, including Ramit Sethi’s Money for Couples and a surprisingly useful marriage-centered option from John Gottman that includes guided money conversations.

Next, we tackle a classic risk parity investing question: should you use EDV instead of TLT for long-term Treasury bond exposure? We break down bond duration in plain English, why total bond funds like BND can be weak diversifiers against equities, and how Treasury STRIPS funds can change portfolio volatility and sizing. Finally, we run through our weekly portfolio reviews and the current market backdrop, including why managed futures can behave differently when stocks and bonds struggle.

If you like data-driven investing with a human filter, subscribe, share the show with a friend, and leave us a rating and review so more DIY investors can find it.
Support the show

In this episode we answer emails from Mike, Jack, and Andrew.  We discuss how to do forecasting using the risk of a personal injury lawsuit as an example, why historians are generally bad a forecasting and a better approach than assuming causation, reveal Ferguson's Law to be a slippery slope argument, and explain how the 25x expenses rule fits real human behavior better than a mathematically correct 20x expenses calculation.

Along the way we thank our donors to the Top of the T-shirt Campaign for the Father McKenna Center and go over the results.

Links:

Walk for McKenna:  Walk For McKenna - Father McKenna Center

Ubiquity:  Ubiquity: Why Catastrophes Happen: Buchanan, Mark: 9780609809983: Amazon.com: Books

Breathless Unedited AI-Bot Summary:

If you’ve ever caught yourself thinking “I know it’s unlikely, but what if it happens to me,” this conversation is for you. We take three listener questions and use them to practice a skill that quietly drives good investing: forecasting risk with base rates and clear thinking instead of letting scary stories run the show.

First, we dig into a classic retirement planning dilemma: keep an old 401(k) for ERISA creditor protection or roll it into IRAs for a simpler setup. We talk through the possibility effect, why asking random opinions often makes you more anxious, and how using AI research tools can quickly surface the kinds of statistics that bring a decision back down to earth. We also lay out the most practical line of defense for personal liability risk: a properly sized umbrella insurance policy that not only covers claims, but also pays for attorneys when you need them.

Next, we tackle Ferguson’s Law and the broader genre of “threshold” predictions about US decline, the dollar, and reserve currency fears. We explain why historians and famous experts can be compelling storytellers yet unreliable forecasters, why timeframes make or break any real prediction, and why the most useful response is not panic but diversification, including true diversifiers like managed futures and gold.

We close with a psychological question about the 4% rule, safe withdrawal rate planning, and why we often point people to 25x annual expenses instead of 20x even if a higher withdrawal rate might pencil out on paper. If you want a calmer, more actionable way to think about risk parity style investing and retirement, subscribe, share the show with a friend, and leave a review.
Support the show

In this episode we answer an email from Cameron.  First, we consider the long history of consumer marketing and how the retail financial services industry fits into it, including reviewing developments in financial services business models over the past century.  In that context, we then break down why the current most popular business models are fear-based, which leads to retirement planning firms pushing “paycheck replacement,” annuities and other inefficient solutions involving buckets, ladders and flower pots.   We also discuss how AUM combined with fear-based business models leads to the biggest current problem in retirement planning -- chronic underspending, and why that is unlikely to change in the near future.

And THEN we our go through our weekly portfolio reviews of the eight sample portfolios you can find at Portfolios | Risk Parity Radio.

Links:

Empire of Things:  Empire of Things: How We Became a World of Consumers, from the Fifteenth Century to the Twenty-First – An Epic History of Goods and the Modern Material Life: Trentmann, Frank: 9780062456328: Amazon.com: Books

Propaganda:  Bernays, Edward L. Propaganda [1928] [1936] : E. Bernays : Free Download, Borrow, and Streaming : Internet Archive

Influence:  Amazon.com: Influence, New and Expanded: The Psychology of Persuasion (Audible Audio Edition): Robert B. Cialdini, Robert B. Cialdini, Harper Business: Audible Books & Originals

Psychology of Human Misjudgment:  Charlie Munger - 24 Cognitive Biases - Human Misjudgment full speech (Improved Audio & Captioned)

Thinking, Fast and Slow Summary:  Microsoft Word - Thinking Fast and Slow Book Summary.doc

Extraordinary Popular Delusions and the Madness of Crowds:  The Project Gutenberg eBook of Memoirs of Extraordinary Popular Delusions and the Madness of Crowds, by Charles Mackay

Fifty Years in Wall Street:  Fifty years in Wall Street by Henry Clews | Project Gutenberg

Where Are The Customers' Yachts?:  Where Are the Customers' Yachts?: or A Good Hard Look at Wall Street (Wiley Investment Classics): Schwed Jr., Fred, Arno, Peter, Zweig, Jason: 9780471770893: Amazon.com: Books

Classifying Financial Advisors By Their Business Models:  Interacting with the Financial Services Industry with SC Gutierrez

White Coat Investor Podcast Episode -- (start at 57:30 -- "6 out of 7 retirees are underspending"):  Advanced Financial Planning Q&A for Physicians - WCI Podcast #489

Source For The 6 Out of 7 Are Underspending Statistics:  How Do Retirees Actually Spend Their Money?

Breathless Unedited AI-Bot Summary:

A retirement plan that “feels like a paycheck” can be a comforting story, but comfort is not a strategy. We respond to a listener who sat through a pitch from an Atlanta-area retirement planning firm and walked away hearing the same two levers again and again: income and annuities, followed by taxes and crash fears when challenged. That’s the hook for a much bigger conversation about why so much retirement advice is designed to manage anxiety instead of maximizing outcomes.

We trace the roots of modern financial marketing through consumer culture and the persuasion playbook, from early propaganda techniques to the behavioral finance insights that explain how fear and incentives shape decisions. Then we map that history onto the financial services industry itself: the commission era, the loaded mutual fund era, the rise of assets under management (AUM), and today’s shift toward selling “sleep well at night” reassurance. Along the way, we talk about why “income-first” retirement planning can be tax-inefficient, why liquidity and total return matter, and why bucket, ladder, and flower pot strategies often solve for feelings before they solve for math.

After the big-picture rant, we bring it back to practical portfolio work. We run through the weekly market snapshot and performance across the show’s diversified sample portfolios, spanning stocks, Treasury bonds, gold, commodities, managed futures, and more. We also detail an OPTRA portfolio rebalance after a long stretch without rebalancing, including exactly what we sold and bought and what the rule-based experiment is meant to reveal.
Support the show