6533b861fe1ef96bd12c43cf

RESEARCH PRODUCT

Stock Volatility Predictability in Bull and Bear Markets

Xingyi LiValeriy Zakamulin

subject

050208 financeHorizon (archaeology)05 social sciencesMarket statesStock returnComputingMilieux_GENERALState dependent0502 economics and businessForecast biasEconometricsEconomicsState dependenceStock market050207 economicsPredictabilityVolatility (finance)General Economics Econometrics and FinanceFinanceStock (geology)

description

Recent literature on stock return predictability suggests that it varies substantially across economic states being strongest during bad economic times. In line with this evidence, we document that stock volatility predictability is also state dependent. In particular, using a large data set of high-frequency data on individual stocks and a few popular time-series volatility models, in this paper we comprehensively examine how volatility forecastability varies across bull and bear states of the stock market. We find that the volatility forecast horizon is substantially longer when the market is in a bear state than when it is in a bull state. In addition, the volatility forecast accuracy is higher and forecast bias is lower when the market is in a bear state. Our study concludes that the stock volatility predictability is strongest during bad economic times proxied by bear market states.

https://doi.org/10.2139/ssrn.3370828