Showing 1 - 10 of 15,406
This paper proposes a sequential Monte Carlo method for estimating GARCH models subject to an unknown number of …
Persistent link: https://www.econbiz.de/10005827237
We propose a new joint model of intraday returns and durations to study the dynamics of several Chinese stocks. We include IBM from the U.S. market for comparison purposes. Flexible innovation distributions are used for durations and returns, and the total variance of returns is decomposed into...
Persistent link: https://www.econbiz.de/10008479019
We propose a new joint model of intraday returns and durations to study the dynamics of several Chinese stocks. We include three U.S. stocks for comparison. Flexible innovation distributions are used for durations and returns, and the total variance of returns is decomposed into different...
Persistent link: https://www.econbiz.de/10010572477
specifications including a GARCH specification for the conditional variance of volatility. …
Persistent link: https://www.econbiz.de/10010851215
Traditional methods used to partition the market index into bull and bear regimes often sort returns ex post based on a deterministic rule. We model the entire return distribution; two states govern the bull regime and two govern the bear regime, allowing for rich and heterogeneous intra-regime...
Persistent link: https://www.econbiz.de/10005033466
We present an estimation and forecasting method, based on a differential evolution MCMC method, for inference in GARCH …
Persistent link: https://www.econbiz.de/10011116269
GARCH volatility models with fixed parameters are too restrictive for long time series due to breaks in the volatility … process. Flexible alternatives are Markov-switching GARCH and change-point GARCH models. They require estimation by MCMC …
Persistent link: https://www.econbiz.de/10011052313
This chapter proposes an up-to-date review of estimation strategies available for the Bayesian inference of GARCH … empirical application to S&P index log-returns where non-nested GARCH-type models are estimated and combined to predict the …
Persistent link: https://www.econbiz.de/10008498470
GARCH volatility models with fixed parameters are too restrictive for long time series due to breaks in the volatility … process. Flexible alternatives are Markov-switching GARCH and change-point GARCH models. They require estimation by MCMC …
Persistent link: https://www.econbiz.de/10010610474
GARCH volatility models with fixed parameters are too restrictive for long time series due to breaks in the volatility … process. Flexible alternatives are Markov-switching GARCH and change-point GARCH models. They require estimation by MCMC …
Persistent link: https://www.econbiz.de/10010615163