New Risk-Off Composite Model

Dean Christians
2021-05-19
Let's review a new risk-off composite model for managing market exposure.

Over the last few months, I've shared several risk-off models that seek to identify periods when the market is transitioning from a bullish to bearish condition. While the models are suitable as a standalone tool, I always like to use a weight-of-the-evidence approach as a single model is more susceptible to a whipsaw signal.

I want to share a new composite model that contains five risk-off models for managing market exposure in today's note. 

The new model contains components from the following notes.

RISK-OFF COMPOSITE MODEL SIGNAL CRITERIA

1.) Composite signal count >= 60%.

2.) If condition1, then start days since true count.

3.) If days since true count <= 5, and the 5-day rate of change for the S&P 500 is <= 0%, signal risk-off.

4.) The composite count resets below 20%. i.e., the reset screens out duplicate signals.

Notes: 

  • The composite model utilizes a 42-day lookback period for the signal count.
  • I want to stress the importance of utilizing a momentum condition in trading signals. I never want to catch a falling knife on down moves or prematurely reduce exposure in a market that is ripping to the upside. This is why I have the 5-day rate of change condition. 

Let's take a look at some charts and the historical signal performance.

CURRENT DAY CHART & TRADING STATISTICS

 I calculate performance statistics as a short signal, whereas annualized returns result from buying the S&P 500.

The current day chart reflects a signal count of 20% as the percentage of members outperforming defensive spread model triggered a risk-off warning signal on 5/11/21.

2015-16 CORRECTION

2007-08 Bear Market


1998 LTCM Correction & 2000-02 BEAR

1980-82 BEAR MARKET

1973-74 BEAR MARKET


1967-68 CORRECTION


HOW THE SIGNALS PERFORMED

Performance is weak in the 1-4 week timeframe with several notable z-scores.

The risk-off composite model is an excellent secondary tool for managing market risk. I will add the current day chart to the TCTM live page on the website to monitor the model alongside the TCTM Risk Warning Model. As of now, It's unlikely that a risk-off signal triggers in the near term.

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