Sector dispersion is the
variation of returns between sector indices over time. It is a quick measure of
industry level dislocations. Mathematically, it’s cross sectional variance of
sector returns. A look back of around 10 to 40 trading days is typically used for
calculating sector dispersion.
Indicators like index returns, implied volatility, stock dispersion
etc have been widely used to classify market into different regimes. Use of sector
dispersion as a regime indicator is largely unheard of. Sector dispersion
measures the industry level deviations and can be high even in tranquil
markets. Large values primarily indicate a fundamental shift in the outlook of
market participants. It is a subtle yet powerful indicator of changing market
dynamics.
Effect on strategy performance:
Sector ignorant trading strategies are stock trading
strategies which do not take sector level information into account while
generating trading signals. Jegadeesh and Titman’s medium term momentum
strategy will fall into this category. These strategies unknowingly end up with
large sectorial exposures when sector dispersion is high. On days following the
high sector dispersion times, they can show very erratic returns. This is
because the unmodeled sector level dynamics would play a significant role in
determining the future stock returns. Hence sector dispersion can be used to
dynamically alter the exposure of such strategies.
Sector
dispersion is also a good predictor of future market volatility. High sector
dispersion typically precedes high market volatility.
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