International Transmission of Stock Market Movements : A Wavelet Analysis on MENA Stock Markets
نویسنده
چکیده
As international financial markets have become increasingly interdependent, new evidence on international spillover effects has widely been discussed around the globe. However, the MENA region has received little attention concerning international transmission of stock market movements. In this paper, we discuss international spillover effects between the major developed markets (U.S., Japan and Germany) and the emerging markets in the MENA region (Turkey and Egypt). While GARCH-type models have mainly been used to investigate international stock market spillovers in much of previous studies, we develop new testing strategies based on discrete wavelet decomposition. The basic finding is that price as well as volatility spillover effects exist from the developed stock markets to the MENA counterparts, but not vice versa. Also discussed is on the interdependence of the major MENA
منابع مشابه
A Wavelets Analysis of MENA stock markets
In this paper we apply the wavelets methodology to the analysis of the comovements of for some MENA countries from June 1997 until March 2005. We decompose weekly stock market returns into di¤erent time scale components using the non-decimated discrete wavelet transform and then analyze the relationships among these variables at the di¤erent time scales. Keywords : Stock market returns, Wavelet...
متن کاملDynamic Linkages between Exchange Rates and Stock Prices: Evidence from Iran and South Korea
The main purpose of present study is to analyze the relationship between stock and exchange markets in two Asian countries, Iran and South Korea. A monthly time series of stock price and exchange rate are used over the period 2002: 05 - 2012: 03. The data is collected from the Central Bank of each country and WDI. The calculated stock return and real exchange rate change are used in analysis....
متن کاملForecasting Stock Price using Hybrid Model based on Wavelet Transform in Tehran and New York Stock Market
Forecasting financial markets is an important issue in finance area and research studies. On one hand, the importance of prediction, and on the other hand, its complexity, have led to huge number of researches which have proposed many forecasting methods in this area. In this study, we propose a hybrid model including Wavelet Transform, ARMA-GARCH and Artificial Neural Network (ANN) for single-...
متن کاملInterrelationships among International Stock Market Indices: Europe, Asia and the Americas
In this paper, we investigate the price interdependence between seven international stock markets, namely Irish, UK, Portuguese, US, Brazilian, Japanese and Hong Kong, using a new testing method, based on the wavelet transform to reconstruct the data series, as suggested by Lee (2002). We find evidence of intra-European (Irish, UK and Portuguese) market co-movements with the US market also weak...
متن کاملThe Impact of Financial Market Fluctuations on Financial Instability in the Iranian Economy: The Wavelet based Markov Switching Model
In this study, the effect of fluctuations of asset markets (exchange rate, oil price and stock market index) on financial instability index over a period of 1388-1397 monthly is investigated by using the Markov Switching model. The wavelet transform model is used to extract exchange rate fluctuations, oil prices and stock market index. The results show that the effect of exchange rate fluctuati...
متن کامل