Multifactor equity risk models provide detailed insight into the structure and properties of portfolios. These models characterize stock returns in terms of systematic factors and an idiosyncratic component. Systematic factors are generally designed to have intuitive economic interpretation and they represent common movements across securities. On the other hand, the idiosyncratic component represents the residual return due to stock-specific events.
Systematic factors used in equity risk models can be broadly classified under five categories: market factors, classification variables, firm characteristics, macroeconomic variables, and statistical factors.
Relative significance of systematic risk factors depends on various parameters such as the model horizon, region/country for which the model is designed, existence of other factors, and the particular time period of the analysis. For instance, in the presence of industry factors, macroeconomic factors tend to be insignificant for short to medium horizon equity risk models whereas they tend to be more significant for long-horizon models. On the other hand, for developed equity markets, industry factors are more significant as compared to the country factors. The latter are still the dominant effect for emerging markets.
Choice of the model and the estimation technique affect the interpretation of factors. For instance, in the existence of a market factor, industry factors represent industry-specific movements net of ...
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