... of stock return volatility have long been studied over the past two decades (Campbell, Lettau, Malkiel and Xu, 2001; Sohn, ...on stock return volatility, others find such evidence ...between ...
... of stockmarket ...historical volatility according to a GJR-GARCH(1,1) model is significantly inversely related to the mood-proxies associated with cloudiness and variation in nighttime hours for 26 ...
... lagged volatility series of equity prices explains a large part of the aggregate time varying stockmarket ...equity marketvolatility is related to business cycle fluctuations (Barro ...
... the volatility of price between Dhaka stock exchange (DSE) and Chittagong Stock Exchange ...on volatility as a part of academic course of Research Methodology and ...not. Volatility is ...
... that stockmarketvolatility is largely countercyclical, being larger in bad times than in good ...Accordingly, stock expected returns lower much less during expansions than they increase ...
... of market capitalization, forced state-owned brokers to promise to buy and hold shares until the index reached a higher level, mobilized state-controlled funds to purchase equities, cracked down on ...
... financial market when making decisions rely on their ability to assess market risk and the likely profitability of the financial assets and maximize the returns from their ...market ...
... the volatility in that period was more extreme, sustained, and longer-lived than we get ...The volatility of stocks has generally gone down over ...the stock markets did recover but the labor ...
... Chinese stock exchanges) over the period ...the stockmarketvolatility and bank competition influence the bank performance in ...that stockmarketvolatility is ...
... the stockmarketvolatility in different ...between stock return and stockmarketvolatility by using GARCH-in-mean model of Engle et al and found positive relation ...
... between stockmarketvolatility and macroeconomic variable volatility for China using exponential generalized autoregressive conditional heteroskedasticity (EGARCH) and lag-augmented VAR ...
... the stockmarket often attempt to forecast the stock price and ...the volatility with minimum error facilitates to anticipate the risk and return of ...the stockmarket ...
... of stockmarketvolatility begins with introduction of autoregressive conditional heteroscedasticity (ARCH) and Generalised autoregressive conditional heteroscedasticity (GARCH) model by Engle (1982) ...
... between stockmarketvolatility and macroeconomic variable volatility for China using exponential generalized autoregressive conditional heteroskedasticity (EGARCH) and lag-augmented VAR ...
... excess stockmarket return, against the alternative hypothesis that the predetermined variables provide additional ...for stock returns over the period 1977:Q1 to ...excess stockmarket ...
... for stockmarket returns in the US ...US stockmarket indices (S&P 500, AMEX, S&P Mid CAP 400, S&P Small CAP 400, NASDAQ, DOW, and NASDAQ ...US stockmarket returns ...
... In the previous section we presented in–sample fits for alternative GARCH(1,1) model estimated from the entire data set. Looking now at the estimation results for the 156 weekly one–year rolling samples for the years ...
... as stockmarket volatilities peaked at unprecedented levels, but at the same time the crisis represents an informative period during which uncertainty and risk aversion may have been particularly ...
... the volatility ratio (standard deviation divided by mean) in the third ...smaller stock portfolios have greater time-variation using the low-frequency approach while pairs of large stock portfolios ...