Readers have asked for our take on “the single greatest predictor of future stock market returns”, aka the Aggregate Investor Allocation to Equities. This indicator was first shared by Philosophical Economics back in 2013, and recently resurrected by Portfolio Optimizer (two excellent sites you

This research was inspired by Alpha Architect’s coverage of a new paper looking at how the distance from a stock’s 1-year high has affected the performance of momentum strategies and the likelihood of “momentum crashes”. We look at the same question applied to a stock index: the S&P 500.

This a test of Mark Virag’s paper “Momentum Based Balancing for the Diversified Portfolio” (NAAIM Wagner Award winner, 2014). This is a relative momentum strategy that provides an interesting contrast to a popular strategy we track: FinancialMentor.com’s Optimum 3. More on this later.

Some of the strategies we track use economic data, like the unemployment rate, when making investment decisions. Like 99.99% of strategy backtests you’ll encounter, we’ve always taken the shortcut of basing our historical results on that economic data as it looks today. The problem is that

This is a test of the latest tactical asset allocation strategy from Dr. Wouter Keller and JW Keuning and their paper: Dual and Canary Momentum with Rising Yields/Inflation: Hybrid Asset Allocation (HAA). Backtested results from 1971 follow. Results are net of transaction costs – see backtest

This is a test of a novel trend-following strategy from the paper Optimal Trend Following Rules in Two-State Regime-Switching Models by Valeriy Zakamulin and Javier Giner. These results aren’t as eye catching as many we track, but the paper contributes some important ideas to the study of tactical

In this post we look at what major asset classes have proven to be the best defensive choice in months when the market has fallen over the last 50+ years. We’ll look at multiple government and corporate bond assets, diversified commodities, gold and the US dollar. The results? As expected, a mixed

This is a test of concepts from the paper Cross-Asset Signals and Time Series Momentum. Standard “time series” momentum is a well-documented feature of financial markets. Assets going up tend to continue going up. In this paper, the authors show that stocks and treasuries can be used to time

This is a test of Dr. Wouter Keller’s tactical strategy “Bold Asset Allocation” (BAA) from his paper Relative and Absolute Momentum in Times of Rising/Low Yields. Backtested results from 1970 follow. Results are net of transaction costs – see backtest assumptions. Learn about what we do and

This is a test of the paper Predicting Bond Returns: 70 Years of International Evidence. The authors use an ensemble model to trade US and international treasury bonds. Over the last 60+ years the strategy would have produced long-term returns in line with buy & hold, while significantly

This is a test of a tactical strategy from the paper Trending Fast and Slow. It trades the S&P 500 by switching between fast and slow momentum based on market volatility. The strategy would have kept pace with the S&P 500, while significantly reducing the worst drawdowns. Backtested results

This is a follow up to our previous post. Same subject, additional data. Both stocks and government bond funds have suffered major losses this year. Stocks and gov bonds form the core of most portfolios. Gov bonds tend to counterbalance risk assets, helping to smooth returns during periods of market

Most government bond funds have suffered major losses this year. What is worse is that those major losses have come when they’re needed most, when stocks and other risk assets are also falling. During times of market stress, gov bonds tend to act as a counterbalance to risk assets, but so far this

It always feels a little offensive talking dollars and cents at times like this (*), but we hope that by helping investors to have a concrete strategy, we can at least take this one stress off the table. We track 60+ Tactical Asset Allocation (TAA) strategies, allowing us to draw some broad

One of the primary benefits of Tactical Asset Allocation (TAA) is the ability to manage losses during major market declines. TAA does that by reducing allocation to risk asset classes like stocks and real estate, and increasing allocation to defensive assets like bonds and gold. In this post, we

This is an independent test of Optimum3, a tactical asset allocation strategy from Todd Tresidder of FinancialMentor.com. Optimum3 starts as a momentum strategy similar to many of the TAA strategies we track. It combines that with a unique approach to portfolio optimization to enforce a degree of

This is a test of the “Global Growth Cycle” strategy from Grzegorz Link that uses OECD Composite Leading Indicator (CLI) data to time the market. We’re going to present these results in an odd way. First, we’re going to replicate Grzegorz’s test, which (as he discusses) includes a degree

This post covers an issue rarely discussed in backtesting: the day’s last real-time price shown at 4pm ET often differs slightly from the day’s official closing price determined shortly after 4pm. This is not an Allocate Smartly issue; it’s an oddity of the exchanges. Every so often this

Most Tactical Asset Allocation (TAA) strategies trade just once a month. Backtests of those strategies usually assume trades are executed on the last trading day of the month. Why? Monthly asset data is often available further back into history than daily data. Assuming trades are executed at

This is a test of a tactical strategy based on contrarian timing of the business cycle, increasing risk during periods of stress and decreasing risk during periods of calm. The strategy adds trend-following to this countercyclical approach to manage short-term market shocks. Backtested results from

We track a lot of tactical strategies, and it can be difficult to understand how they all fit together in the big picture. The usual correlation matrix (example) is helpful when drilling down on a single strategy, but it’s near impossible to see the forest for the trees among the 1000’s of data

We track more than 60 tactical asset allocation strategies. In this post we look at which of those strategies are most often recommended by common portfolio optimization techniques, and why strategies that “play well with others” are not always the best strategies. First, a little background for

This is a test of a tactical bond strategy from Paul Novell of Investing for a Living. It rotates between credit bond ETFs and defensive assets based on the same rules as his popular SPY-COMP strategy. Backtested results from 1970 follow. Results are net of transaction costs – see backtest

This is an independent test of the tactical strategy “All-Weather Quad Momentum” (AWQM) from Todd Tresidder of FinancialMentor.com. Many of our members came to us from Financial Mentor, so it’s fitting that we add a strategy to our platform that demonstrates his approach to asset allocation.

We track more than 60 Tactical Asset Allocation strategies, which members can combine together into custom portfolios. To make creating those portfolios easier, we provide an optimizer showing the best performing combinations of strategies based on the member’s investment objective, such as

This is a follow up to a strategy we’ve covered previously: Accelerating Dual Momentum (ADM) from EngineeredPortfolio.com. See our first test of ADM, which includes a description of the strategy rules and our own analysis of the strategy. Here we’ve extended our test by 20 years to include a

We track more than 60 Tactical Asset Allocation strategies. Members can combine those strategies into what we call “Model Portfolios”. Combining strategies in this way reduces the risk of any single strategy going off the rails and helps to provide smoother, more consistent investment returns.

This is a test of a Risk Premium Value strategy (RPV) that allocates to major US asset classes based on current risk premium valuations relative to historical norms. Readers will note the similarity between RPV and other related strategies, such as CXO Advisory’s SACEVS. Backtested results from

This is a test of the latest tactical strategy from Dr. Wouter Keller: Resilient Asset Allocation (RAA). RAA is intended to be a low turnover strategy, only shifting from a balanced risk portfolio to a defensive portfolio during the most potentially bearish of times. Backtested results from 1970

In this post we model retirement Safe Withdrawal Rates (SWR) and Perpetual Withdrawal Rates (PWR) for a large collection of tactical and buy & hold strategies. We track 50+ tactical strategies, allowing us to draw some broad conclusions about TAA as a trading style. Learn more about what we do.

This is an independent test of Aspect Partners’ flagship tactical asset allocation strategy Risk Managed Momentum (RMM). By tactical standards, RMM is a very active, very aggressive strategy. It has done an excellent job navigating this difficult year so far. Backtested results from 1970 follow.

This is a test of two recent papers: Momentum Turning Points and Breaking Bad Trends. Learn more about what we do and follow 50+ asset allocation strategies like these in near real-time. Successful trend-following strategies must balance the “speed” of the trading signal. If the signal is too

We track 50+ public Tactical Asset Allocation (TAA) strategies in near real-time, allowing us to draw broad conclusions about TAA as a trading style. By design, most of those strategies trade just once per month, and most assume that next month’s asset allocation is both calculated and executed on

We track 50+ public Tactical Asset Allocation (TAA) strategies. A unique feature of our platform is that we show the aggregate allocation across all of those strategies each day (member link). For example, the graph below shows the aggregate allocation year to date by category of asset. Note the

Tactical Asset Allocation (TAA) dodged the worst of the bear in February and March, but trailed the big bounce in April. Entering May, TAA remains stubbornly defensive. We track 50+ TAA strategies sourced from books, papers, etc., allowing us to draw broad conclusions about TAA as a style. In the

This is a test of the flagship proprietary strategy from Paul Novell’s Investing for a Living. Paul has been kind enough to share his strategy rules to allow for independent verification of his results. SPY-COMP is like Growth-Trend Timing and a handful of other tactical strategies we track, in

We’ll be talking about Paul Novell’s flagship SPY-COMP strategy on the blog tomorrow. The strategy uses monthly economic data, like the kind available from the FRED database. We’ve covered a handful of strategies like this in the past (think Philosophical Economics’ Growth Trend-Timing).

Tactical Asset Allocation (TAA) weathered the storm in February and March, significantly paring down losses vs conventional buy & hold. So far it has trailed the bounce in April, but these are early days. We track 50+ TAA strategies sourced from books, papers, etc., allowing us to draw some

Tactical Asset Allocation (TAA) weathered the storm in March well, significantly paring down losses versus conventional buy & hold. We track 50+ TAA strategies sourced from books, papers, etc., allowing us to draw some broad conclusions about TAA as a style. In the table below we show the March

DIY tactical asset allocation (i.e. the types of public strategies that we cover on this site) has been strong through this crisis. Tactical ETFs on the other hand have struggled badly. We track 50+ DIY TAA strategies, allowing us to draw some broad conclusions about TAA as a style. In the graph

Tactical Asset Allocation (TAA) as a whole continues to weather the fallout well, significantly paring down losses versus a conventional buy & hold portfolio. Individual strategies vary widely. We track 50+ published TAA strategies, allowing us to draw some broad conclusions about TAA as a

Broadly speaking, Tactical Asset Allocation has weathered this storm reasonably well, but the last two days have been tough and we are by no means out of the woods. We track 50+ published TAA strategies, allowing us to draw some broad conclusions about TAA as a style. In the table below we show the

We’ve fielded a lot of questions this morning about how Tactical Asset Allocation is faring this month. We track 50+ published strategies, so we’re able to draw some broad conclusions about the current state of TAA. Generally speaking, all is well. Individual strategies vary, but as a whole, TAA

This is one of my favorite takes of the last week. It was tweeted on Friday, which held two distinctions: (1) It capped off a helluva scary week, and (2) It just so happened to be month-end, when many TAA strategies trade by default. I couldn’t agree more. Imagine making a single risk on/risk off

In response to a member question: Have you ever looked at a systematic approach that invested only in tactical asset allocation strategies that were experiencing a significant drawdown? We know that performance chasing is a flawed behavioral bias, so an approach like this could exploit it. We always

This is an early preview of a new analytical tool we’ll be adding to our platform later this month. Learn more about what we do. Broadly speaking, the goal of tactical asset allocation is to take advantage of broad market trends via trend-following and/or momentum. Those trends can be difficult to

This is a test of a new paper from Dr. Wouter Keller titled Growth-Trend Timing and 60-40 Variations: Lethargic Asset Allocation (LAA). This is primarily a buy & hold strategy that’s roughly based on the classic “Permanent Portfolio”, but it includes an element of tactical asset

Sources of long-term historical data are few and far between. Because it’s been generously provided for free, one of the most often used is data from Professor French (of Fama-French fame). Others include Shiller and Ibbotson. These data sets are fine for a first pass at testing out ideas, but

By reader request, this is a test of a tactical strategy from Harrison Schwartz that considers various economic yields in order to rotate among asset classes. Strategy results versus the 60/40 benchmark follow. We’ve extended Schwartz’s original test by an additional 6+ years, and accounted for

This is a summary of the recent performance of a wide range of excellent Tactical Asset Allocation (TAA) strategies, net of transaction costs. These strategies are sourced from books, academic papers, and other publications. While we don’t (yet) include every published TAA model, these strategies