Predicting Risk: Not Easy, But Easier Relative To Return - Part II

James Picerno profile picture
James Picerno
5.72K Followers

Summary

  • Predicting market risk is easier than predicting return.
  • The day-ahead forecast of return risk for the S&P 500 Index is highly reliable.
  • The lesson seems to be that you can develop reasonably reliable vol forecasts for the S&P 500 out to 10 days or so, but by 20 you’ll need another model.

financial Concept

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Predicting market risk is easier than predicting return, as demonstrated in the first installment of this series. The caveat is that we shouldn't conflate easier with ease. Nonetheless, a simple model of using yesterday's return volatility proves to be a reliable forecast for today. The key question: how far into the future can we effectively forecast vol with this naïve model? The short answer: the reliability fades, quickly.

For perspective, keep in mind that a comparable degree of reliability with the same model with forecasting day-ahead returns would be a license to print money. Alas, Mr. Market doesn't allow such things with performance data and so forecasting even a day ahead based on the last data point is hopelessly random.

S&P 500

Author

Volatility is another matter. The day-ahead forecast of return risk for the S&P 500 Index, for example, is highly reliable, as shown in the first chart below. It's not perfect, but it's close: the correlation between t+0 and t+1 vol is 0.991 since 1950 - a stone's throw from a perfect score of 1.0.

S&P 500

Author

Reliability takes a modest hit when the forecast is pushed out to 5 days, although the correlation is still high at 0.940.

S&P 500

Author

The model starts to show a significant breakdown 10 days ahead, with correlation falling to 0.845.

S&P 500

Author

At 20 days, the jig is up and we've got borderline noise via a correlation of 0.642.

S&P 500

Author

The lesson seems to be that you can develop reasonably reliable vol forecasts for the S&P 500 out to 10 days or so, but by 20 you'll need another model. Are forecasting analytics up to the job? We'll explore some possibilities in the next update for this series.

Original Post

Editor's Note: The summary bullets for this article were chosen by Seeking Alpha editors.

This article was written by

James Picerno profile picture
5.72K Followers
James Picerno is a financial journalist who has been writing about finance and investment theory for more than twenty years. He writes for trade magazines read by financial professionals and financial advisers. Over the years, he’s written for the Wall Street Journal, Barron’s, Bloomberg Markets, Mutual Funds, Modern Maturity, Investment Advisor, Reuters, and his popular finance blog, The CapitalSpectator. Visit: The Capital Spectator (www.capitalspectator.com)

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