Showing 1 - 10 of 132
jumps over a grid of thresholds and selects the optimal threshold at what we term the 'take-off' point in the estimated … number of jumps. We show that this method consistently estimates the jumps and their indices as the sampling interval goes to … jumps and its ability to distinguish between true jumps and large diffusive moves. In one of these Monte Carlo studies we …
Persistent link: https://www.econbiz.de/10011995217
. Investors prefer stocks with a high probability of having positive jumps, but they also tend to overweight safer industries …, even when controlling for these variables. By analyzing earnings announcement surprises, we find that large jumps are … subsequent weekly returns. Finally, we find that small jumps are more likely to be diversified away than large jumps and tend to …
Persistent link: https://www.econbiz.de/10012696282
Using high-frequency data, we decompose the time-varying beta for stocks into beta for continuous systematic risk and beta for discontinuous systematic risk. Estimated discontinuous betas for S&P500 constituents between 2003 and 2011 generally exceed the corresponding continuous betas. We...
Persistent link: https://www.econbiz.de/10011755332
Numerous tests designed to detect realized jumps over a fixed time span have been proposed and extensively studied in … the financial econometrics literature. These tests differ from 'long time span tests' that detect jumps by examining the … implications of these findings, and 'time-span robust' tests indicate that the prevalence of jumps is not as universal as might be …
Persistent link: https://www.econbiz.de/10012696228
In recent years, fractionally-differenced processes have received a great deal of attention due to their flexibility in financial applications with long-memory. This paper revisits the class of generalized fractionally-differenced processes generated by Gegenbauer polynomials and the ARMA...
Persistent link: https://www.econbiz.de/10011755341
The purpose of the paper is to discuss ten things potential users should know about the limits of the Dynamic Conditional Correlation (DCC) representation for estimating and forecasting time-varying conditional correlations. The reasons given for caution about the use of DCC include the...
Persistent link: https://www.econbiz.de/10010421297
estimators and use simulations to show that they behave adequately in the presence of jumps and heteroskedastic and heavy …
Persistent link: https://www.econbiz.de/10011755303
We investigate the direct connection between the uncertainty related to estimated stable ratios of stock prices and risk and return of two pairs trading strategies: a conditional statistical arbitrage method and an implicit arbitrage one. A simulation-based Bayesian procedure is introduced for...
Persistent link: https://www.econbiz.de/10011755321
This paper develops a method to improve the estimation of jump variation using high frequency data with the existence of market microstructure noises. Accurate estimation of jump variation is in high demand, as it is an important component of volatility in finance for portfolio allocation,...
Persistent link: https://www.econbiz.de/10011755339
This paper considers the algorithmic implementation of the heteroskedasticity and autocorrelation consistent (HAC) estimation problem for covariance matrices of parameter estimators. We introduce a new algorithm, mainly based on the fast Fourier transform, and show via computer simulation that...
Persistent link: https://www.econbiz.de/10011755358