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In this article we study jump spillover effects between a number of country equity indexes. In order to identify the latent historical jumps of each index, we use a Bayesian approach to estimate a jump-diffusion model on each index. We look at the simultaneous jump intensities of pairs of...
Persistent link: https://www.econbiz.de/10012760753
This paper examines the impact of estimation error in a simple single-period portfolio choice problem when the investor has power utility and asset returns are jointly lognormally distributed. These assumptions imply that such an investor selects portfolios using a modified mean-variance...
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The paper tests the hypothesis that highly leveraged firms lose market shares to their less leveraged rivals in an industry downturn. Both parametric and semiparametric regression methods are applied to analyse the relationships between firm performance and leverage. It is found that the highly...
Persistent link: https://www.econbiz.de/10005471998
In this paper we show that the long-run stock and bond volatility and the long-run stock-bond correlation depend on macroeconomic uncertainty. We use the mixed data sampling (MIDAS) econometric approach. The findings are in accordance with the flight-to-quality phenomenon when macroeconomic...
Persistent link: https://www.econbiz.de/10011207886
This paper applies the GARCH-MIDAS (Mixed Data Sampling) model to examine whether information contained in macroeconomic variables can help to predict short-term and long-term components of the return variance. A principal component analysis is used to incorporate the information contained in...
Persistent link: https://www.econbiz.de/10010818798
We employ spatial econometrics techniques to investigate to what extentcountries’ economic and geographical relations affect their stock market comovements.We propose an econometric model that is particularly suitable for financial data, where common time trends prevail. In general, among the...
Persistent link: https://www.econbiz.de/10010818803
Current models for predicting volatility do not incorporate information flow and are solely based on historical volatilities. We suggest a method to quantify the semantic content of words in news articles about a company and use this as a predictor of its stock volatility. The results show that...
Persistent link: https://www.econbiz.de/10010818806