Volatility has been one of the most active and successful areas of research in time series econometrics and economic … empirical insights to emerge from this burgeoning literature, with a distinct focus on forecasting applications. Volatility is … inherently latent, and Section 1 begins with a brief intuitive account of various key volatility concepts. Section 2 then …

Major events often trigger abrupt changes in stock prices and volatility. We study the implications of jumps in prices … and volatility on investment strategies. Using the event-risk framework of Duffie, Pan, and Singleton (2000), we provide … become illiquid and the optimal strategy blends both dynamic and buy-and-hold strategies. Jumps in prices and volatility both …

It depends. If volatility fluctuates in a forecastable way, then volatility forecasts are useful for risk management …; hence the interest in volatility forecastability in the risk management literature. Volatility forecastability, however … volatility forecastability are plagued by the fact that they are joint assessments of volatility forecastability and an assumed …

price volatility and "sentiment" fluctuations. We construct a general-equilibrium model of sentiment. In it, there are two …

We show that firms' idiosyncratic volatility obeys a strong factor structure and that shocks to the common factor in … idiosyncratic volatility (CIV) are priced. Stocks in the lowest CIV-beta quintile earn average returns 5.4% per year higher than … heterogeneous-agent model. In the model, CIV is a priced state variable because an increase in idiosyncratic firm volatility raises …

We perform an experimental study of complexity to assess its effect on trading behavior, price volatility, liquidity …. Complexity altered subjects' bidding strategies, decreased liquidity, increased price volatility, and decreased trade efficiency … complex treatment. Our analysis suggests that complexity may be a driver of volatility and liquidity in financial markets and …