Showing 1 - 10 of 87
Estimation of log-GARCH models via the ARMA representation is attractive because it enables a vast amount of already … established results in the ARMA literature. We propose an exponential Chi-squared QMLE for log-GARCH models via the ARMA …
Persistent link: https://www.econbiz.de/10011112442
This study examines the motives for Russian outward foreign direct investments (OFDI) around the world. Using firm-level data for Russian firms, home and host country economic, geographical, cultural and institutional drivers of Russian OFDI are analyzed. Findings show that Russian OFDI seems to...
Persistent link: https://www.econbiz.de/10011109478
flexible SSM is applied to the ARMA model, mixed frequency regression and the dynamic factor model with missing data, the state …
Persistent link: https://www.econbiz.de/10011108582
It is well known among practitioners that the seasonal adjustment applied to economic time series could involve several decisions to be made by the econometrician. In this paper, I assess which aggregation strategy delivers the best results for the case of the Chilean GDP 1986-2009 quarterly...
Persistent link: https://www.econbiz.de/10011109258
and handles these by combining QML estimation via the ARMA representation with the Expectation-maximisation (EM) algorithm …
Persistent link: https://www.econbiz.de/10011109685
under different sample sizes in the stationary ARMA(1,1) process, which can generate different forms of autocorrelation …
Persistent link: https://www.econbiz.de/10009147868
We empirically investigate the relationship between expected stock returns and volatility in the twelve EMU countries as well as five major out of EMU international stock markets. The sample period starts from December 1992 until December 2007 i.e. up to the recent financial crisis. Empirical...
Persistent link: https://www.econbiz.de/10011259141
In the empirical finance literature findings on the risk return tradeoff in excess stock market returns are ambiguous. In this study, we develop a new QR-GARCH-M model combining a probit model for a binary business cycle indicator and a regime switching GARCH-in-mean model for excess stock...
Persistent link: https://www.econbiz.de/10008534252
following an ARMA (1,7) process, and the conditional variance with time-dependent conditional heteroskedasticity as represented … by ARCH models. The volatility is measured by a linear GARCH and an EGARCH process. Our results suggests that EGARCH … provides better estimates than a linear standard GARCH model. The EGARCH also can capture most of the asymmetry, supporting the …
Persistent link: https://www.econbiz.de/10011108476
volume causing return. The relationship between trading volume and return volatility is analyzed by applying EGARCH model …
Persistent link: https://www.econbiz.de/10011108885