Financial Management · 2012 · 18 citations · 33 references
BusinessEconomicsFinanceEconometricsFinancial EconometricsFinancial EconomicsAsset Return ModelingEquity RiskFinancial RiskMarket RiskRisk-return AnalysisVolatility ModelingConditional Heteroskedasticity ModelsDependence In Asset ReturnsGarch-based Risk ModelingGeneralized Autoregressive Conditional Heteroskedasticity ModelsHeteroskedasticity ModelingIdiosyncratic Risk PricingSecurities FinanceTime-varying Volatility Models
This paper investigates the relationship between idiosyncratic risk and returns for individual securities within a generalized autoregressive conditional heteroskedascticity (GARCH)‐in‐mean framework. We demonstrate that, on average, 15% of stocks exhibit a significant relationship between returns and risk, of which 9% are positive. These proportions vary over time and with model specifications. Some characteristics influence the probability of a positive and a negative relationship, while others appear to affect only one, but not the other. This evidence implies that the factors that explain a positive connection between idiosyncratic risk and returns are different from the factors that explain a negative connection.
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