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The paper advances the log-generalized gamma distribution as a suitable generator of conditional skewness. Based on the NYSE composite daily returns an asMA-asQGARCH model along with skewness dynamics is estimated. The results indicate a skewness that varies between sizeable negative skewness...
Persistent link: https://www.econbiz.de/10011398115
This paper empirically investigates international equity investors' foreign portfolios before and during the financial crisis by estimating a gravity model for 22 source and 42 destination countries. The results show that international stock market diversification provides large gains during the...
Persistent link: https://www.econbiz.de/10013117548
Persistent link: https://www.econbiz.de/10009388566
Persistent link: https://www.econbiz.de/10009751746
The paper describes the specification, estimation, and testing of an unrestricted structural econometric model design … estimated using the MIDAS (Mixed Data Sampling) regression methodology, which supports estimation of regressions with variables …
Persistent link: https://www.econbiz.de/10014112120
This paper is an attempt to investigate the dynamic relationship between U.S. and Indian stock markets through the conditional volatility of two stock markets, during the 1995-2007 period, using the monthly data of BSE listed BSE 100 and NYSE listed S & P 500 indices. The research methodology...
Persistent link: https://www.econbiz.de/10013002313
This study explores dynamic relationships between stock prices and exchange rates in Asian countries. These relationships are complex and include both linear and nonlinear relationships. We employ a nonparametric causality test to explore them. The nonparametric causality test is more robust to...
Persistent link: https://www.econbiz.de/10012946764
heteroscedasticity (ARCH) and GARCH terms. Based on maximum likelihood estimation of S\&P 500 returns, S\&P/TSX returns and Monte Carlo …
Persistent link: https://www.econbiz.de/10012901903
We develop a Markov-Switching Autoregressive Conditional Intensity (MS-ACI) model with time-varying transitional parameters, and show that it can be reliably estimated via the Stochastic Approximation Expectation-Maximization algorithm. Applying our model to high-frequency transaction data, we...
Persistent link: https://www.econbiz.de/10012903299
Since oil prices are typically governed by nonlinear and chaotic behavior, it's become rather difficult to capture the dominant properties of their fluctuations. In recent years, unprecedented interest emerged on the decomposition methods in order to capture drifts or spikes relatively to this...
Persistent link: https://www.econbiz.de/10013132614