There is a growing concern that U.S. merger control may have been too lenient, but empirical evidence remains limited … reviewing the use and challenges of event studies in merger analysis, I use a novel application of Hoberg-Phillips (2010, 2016 ….S. mergers between 1997 and 2017. I document that following a merger announcement, the most likely competitors experience on …

The paper investigates the impact of jumps in forecasting co-volatility, accommodating leverage effects. We modify the … definite. Using this approach we can disentangle the estimates of the integrated co-volatility matrix and jump variations from … the co-jumps of two assets have a significant impact on future co-volatility, but that the impact is negligible for …

average daily returns, even though the volatility is virtually unchanged when the frequency is lower. The volatility from the … highest to the lowest frequency is about 30% lower as compared with the buy-and-hold strategy volatility, but the average … returns approach the buy-and-hold returns when frequency is lower. The 30% reduction in volatility appears if we invest …

One of the most popular univariate asymmetric conditional volatility models is the exponential GARCH (or EGARCH …) specification. In addition to asymmetry, which captures the different effects on conditional volatility of positive and negative … subsequent shocks to volatility. However, there are as yet no statistical properties available for the (quasi-) maximum …

Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH …) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative … shocks to volatility. However, the statistical properties of the (quasi-) maximum likelihood estimator (QMLE) of the EGARCH …

, including market-based estimation of stochastic volatility models, the fine structure of equity-index option dynamics, leverage … and feedback effects in multifactor Wishart stochastic volatility for option pricing, option pricing with non …-Gaussian scaling and infinite-state switching volatility, stock return and cash flow predictability: the role of volatility risk, the …

Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH …) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative … shocks to volatility. However, the statistical properties of the (quasi-) maximum likelihood estimator (QMLE) of the EGARCH …

relationship between the S&P500 Composite Index and the Volatility Index (VIX), but few empirical studies have focused on the …

expected earnings shock and its volatility, and establish properties of investor behavior on the stock price and its volatility … during financial crises and subsequent recovery. Thereafter, we develop properties to explain excess volatility, short …