liquid instrument suffers from liquidity shocks that induce periods of increased volatility and significant return …

leverage effect and the volatility feedback effect. We stress the importance of distinguishing between realized volatility and … implied volatility, and find that implied volatilities are essential for assessing the volatility feedback effect. The … leverage hypothesis asserts that return shocks lead to changes in conditional volatility, while the volatility feedback effect …

stock returns and volatility, and to rank these markets with respect to volatility. For this purpose, six markets are … dipicting high correlations and a heteroskedastic patron (volatility) among the markets over the sample tenure which then … reveals that KSE has 66.23% volatility and 0.10% average return followed by Sensex, which has 63.39% volatility and 0 …

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 …

Using high-frequency intraday data, we construct, test and model seven new realized volatility estimators for six … international equity indices. We detect jumps in these estimators, construct the jump components of volatility and perform various … effects of jumps on volatility. Our results expand and complement the previous literature on the nonparametric realized …

's information set for the myopic stock-bond portfolio. In-sample I find that the best forecast of the volatility and correlation is … metrics: volatility, Sharpe ratio, certainty-equivalent return, turnover and opportunity cost. For minimum-variance portfolios … formed using analyst forecasts, although the volatility of the portfolios increase, the Sharpe ratios substantially increase …