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simultaneous estimation of the interdependent duration-volatility model. In an empirical application we utilize the model for an … indirect test of the hypothesis that volatility is caused by private information that affects prices when informed investors … trade. The result that volatility shocks significantly increase expected inter-transaction durations supports this …
Persistent link: https://www.econbiz.de/10009579173
Persistent link: https://www.econbiz.de/10001919426
Although stock splits seem to be a purely cosmetic event, there exists ample empirical evidence from the United States that stock splits are associated with abnormal returns on both the announcement and the execution day, and additionally with an increase in variance following the ex-day. This...
Persistent link: https://www.econbiz.de/10009580473
We study an extension of the classical B1ack-Scholes model which accounts for feedback effects from trading in an imperfectly elastic market. The proposed semi-martingale model may be viewed as a compromise between the diffusion approach in, e.g., (Cuoco and Cvitanic 1998), (Cvitanic and Ma...
Persistent link: https://www.econbiz.de/10009580477
is the volatility coefficient which in turn obeys an autoregression type equation log v t = w + a S t- l + nt with an …
Persistent link: https://www.econbiz.de/10009582392
According to the Sharpe-Lintner capital asset pricing model, expected rates of return on individual stocks differ only because of their different levels of non-diversifiable risk (beta). However, Fama/French (1992) show that the two variables size and book-to-market ratio capture the...
Persistent link: https://www.econbiz.de/10009661022
The so-called 'Monday effect ' has been found for various stock markets of the world. The empirical finding that Monday returns are significantly smaller than returns measured for the remaining days of the week calls the efficiency hypothesis for pricing processes operating on stock markets into...
Persistent link: https://www.econbiz.de/10009580468
The Normal Inverse Gaussian (NIG) distribution recently introduced by Barndorff-Nielsen (1997) is a promising alternative for modelling financial data exhibiting skewness and fat tails. In this paper we explore the Bayesian estimation of NIG-parameters by Markov Chain Monte Carlo Methods. --...
Persistent link: https://www.econbiz.de/10009612011
Persistent link: https://www.econbiz.de/10001917087
Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric …
Persistent link: https://www.econbiz.de/10009578026