Video: ETF Regime Portfolios Backtest (Weekly) Using High-Yield Bonds

A video using the Regime Portfolios Backtest to check-in on using high-yield bonds as information into the state of the market.

 

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Video: Practical Starter Improvements Upon Absolute Return / Cash Filter Strategies

A ~5 minute video using the Regime Relative Strength Backtest to look at some parts of an Absolute Return strategy and ways to improve upon it.

 

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Indexes Change Over Time. Recent Data Is More Important Than Long-Term Data. It just is.

An index can change rather importantly over time.  Some segments go through sustained secular performance and become increasingly important on a secular basis.   This has happened with the internet relative to much older industries.  Sometimes it can be a bubble but for every time someone calls something irrational, there are many cases where something secular is happening.

Below is a chart plotting how much more important Amazon.com is to the performance of the S&P 500 than it used to be.  This has come at the expense of names like Exxon. 

 

 

Another example is Facebook vs Chevron:

 

To look at a different part of the world, think about how important China Mobile used to be vs where it is now and how Alibaba Group was 0% and now its the 2nd largest holding in the S&P China Index.

 

 

Think about what this does to fundamental ratios like P/E's and dividend yields on the index aggregates.  Exxon pays a large dividend -- AMZN and FB don't pay anything in dividends.   Exxons P/E in 2007 was under 13x while the AMZN P/E has averaged well into the triple digits over the past 10 years.

This is loosely related to 'Regime Change' -- the fundamentals of backtesting are that you should think about RECENT DATA and weight it more heavily than old data.    Same concept.  What the P/E was 10 years ago isn't very important  And what it was 30 years ago is less important than that. We do NOT mean to imply 'this time is different'. We are simply saying weight more recent times more highly than you do data from 100 years ago.   

See also: Regime Change Backtesting

Modelling the effects of Adviser-level fees

A short video using the Advanced RS Pro backtest to look at how you can model the effect of Advisor-level fees over long periods of time.

 

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2000 to 2003 focus QQQ's large drawdown backtest

Study many different sub-periods for many different markets.  It helps you understand scenarios, it helps you understand strengths and weaknesses of various techniques in backtesting.

Learn how to put the odds in your favor.   If you study many different time periods across many types of markets, you will gain understanding of a strategy that is fragile vs a strategy that is more durable.   You will have ideas that cannot be supported and you realize their weaknesses.   Running bad backtests and learning from that is part of the process.

Below is one look at the 2000-2003 bear market.  We suggest you look at that time period and many other time periods using many different types of funds.   QQQ's downturn was especially bad due to the extended run-up in the prior years (QQQ index existed in prior years but the ETF product QQQ of course did not exist prior to the middle of 1999). 

 

 

**A pro subscription allows you to backtest to 12/31/99 using daily total return data.