mean and volatility. The endogenous structural breakpoint unit root test, ARDL model, and alternative volatility models … price while the volatility of global fertilizer prices and crude oil price from March to December 2008 are higher than in …

direction of company-specific news. Information-implied reactions in returns, volatility as well as liquidity demand and supply … London Stock Exchange (LSE), we find market-wide robust news-dependent responses in volatility and trading volume. However …

direction of company-specific news. Information-implied reactions in returns, volatility as well as liquidity demand and supply … London Stock Exchange (LSE), we find market-wide robust news-dependent responses in volatility and trading volume. However …

geometric Brownian motion. Finally, we derive pricing bounds for convertible bonds in an uncertain volatility model, i.e. when … the volatility of the firm value process lies between two extreme values. …

bounds for convertible bonds are derived in an uncertain volatility model, i.e. when the volatility of the stock price …

In this paper, we examine the evolution of the S&P500 returns volatility around market crashes using a Markov …-Switching model. We find that volatility typically switches into the high volatility state well before a crash and remains in the high … volatility by uniformed traders result in a crash. …

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the na?ve forecast provided by historical volatility. As a somewhat surprising result, we also …

Bayesian forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of … volatility components. From a practical point of view, ML also becomes computationally unfeasible for large numbers of components … forecasts which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo …