Showing 1 - 10 of 32
Extreme returns in stock returns need to be captured for a successful risk management function to estimate unexpected loss in portfolio. Traditional value-at-risk models based on parametric models are not able to capture the extremes in emerging markets where high volatility and nonlinear...
Persistent link: https://www.econbiz.de/10005835467
Purpose – The purpose of this paper is to use filtered extreme-value theory (EVT) model to forecast one of the main emerging market stock returns and compare the predictive performance of this model with other conditional volatility models. Design/methodology/approach – This paper employs...
Persistent link: https://www.econbiz.de/10010610651
Persistent link: https://www.econbiz.de/10008380542
In this paper, we investigate the relationship between industrial production and sectoral credit defaults (non-performing loans ratio) cycle by wavelet network analysis in Turkey over the period January 2001-November 2007. We use feedforward neural network based wavelet decomposition to analyze...
Persistent link: https://www.econbiz.de/10008473760
Persistent link: https://www.econbiz.de/10008312143
Persistent link: https://www.econbiz.de/10008881951
Financial modeling in developing markets requires dynamic and complex algorithms, which enable investors to estimate extremes in the returns arising from the chaotic characteristics of those markets. In this research paper, the value-at-risk (VaR) of a portfolio consists of Bombay Stock Exchange...
Persistent link: https://www.econbiz.de/10005398894
This paper examines the impact of changes in interest rates on stock returns in Turkey by using wavelet analysis with Granger causality tests. By using daily closing values of the ISE 100 Index and interest rates, it is proven that starting with the 9 day time-scale effect, Granger interest...
Persistent link: https://www.econbiz.de/10005458789
In this study, variance changing to the scale and multi-scale Capital Asset Pricing Model (CAPM) is tested by Wavelets as a new analysis method in finance and economics. It introduces a new approach to the variance changing to the scale as a general risk indicator, and to multi-scale CAPM...
Persistent link: https://www.econbiz.de/10010764117
Purpose – This paper, using Turkish stock index data, set outs to present long-term memory effect using chaotic and conventional unit root tests and investigate if chaotic technique as wavelets captures long-memory better than conventional techniques. Design/methodology/approach – Haar and...
Persistent link: https://www.econbiz.de/10005008746