Abstract:Purpose- The prime objective of this study was to find the co-movement between the Canadian credit default swaps market, the Stock market and volatility index (TSX 60 Index)
Design/ Methodology- To achieve this purpose, daily data containing 2870 observations starting from the 1st of January 2009 to the 30th of December 2019 were analyzed. This study employed the wavelet approach to present results in short-term, medium-term, long-term, and very long time.
Findings- The findings of this study showed a negative… Show more
“…It is commonly known that a stock market movement within a country is influenced by the movement of either other stocks in other regions or countries, as proven in the empirical evidence presented in the literature (Alagidede & Mensah, 2016;Jiang & Yoon, 2020). In fact, a wide range of co-movements of stock markets between various countries was proven in several works of research (R. Ali et al, 2020;Meng & Huang, 2019;Mensi, 2019). Hyeongwoo et al (2015) studied the spillover effects resulted from the economic decline of the US on developing Asian countries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…R. Ali et al (2020) investigated the co-movement between the Canadian credit default swaps market, the Stock market and volatility index (TSX 60 Index); the study employed the wavelet approach to present results in short-term, medium-term, long-term, and very long time. The wavelet co-movement results in the short-term and long-term were negative, while this relationship in the medium-term and very long-term period was strongly positive.…”
Section: Co-movement Globally With Wavelet Approachmentioning
In this article, the co-movement between GCC and US stock market returns was investigated using the wavelet coherence method. The Dynamic Conditional Correlation GARCH (DCC-GARCH) modelling is then applied on timevarying components in order to provide a point of comparison with the results extracted from wavelet analysis. The investigation was conducted on the weekly stock index prices of two USA stock markets, namely Dow Jones and S&P 500 and six GCC stock markets, namely the United Arab Emirates, Saudi Arabia, Qatar, Oman, Kuwait, and Bahrain. The data were retrieved from Thomson Reuters's data stream and the sample duration was from 7 January 2007 to 24 June 2018. As a result, a definite co-movement between several GCC stock markets and those of the US stock markets for a long term was found. Moreover, the results also displayed signs of the significant disparity between the co-movements of the stock markets throughout the scales of time during economic decline. This phenomenon was possibly expected during the economic decline, where a significant divergence occurred as opposed to co-movement. The implications of the findings for global investors were considerable due to the indication from long-term co-movement that these investors would not be capable of gaining simultaneous profit from time and portfolio being diversified. In fact, the results showed the major difference in the opportunities for international portfolio diversification throughout these markets in terms of scale and time.
“…It is commonly known that a stock market movement within a country is influenced by the movement of either other stocks in other regions or countries, as proven in the empirical evidence presented in the literature (Alagidede & Mensah, 2016;Jiang & Yoon, 2020). In fact, a wide range of co-movements of stock markets between various countries was proven in several works of research (R. Ali et al, 2020;Meng & Huang, 2019;Mensi, 2019). Hyeongwoo et al (2015) studied the spillover effects resulted from the economic decline of the US on developing Asian countries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…R. Ali et al (2020) investigated the co-movement between the Canadian credit default swaps market, the Stock market and volatility index (TSX 60 Index); the study employed the wavelet approach to present results in short-term, medium-term, long-term, and very long time. The wavelet co-movement results in the short-term and long-term were negative, while this relationship in the medium-term and very long-term period was strongly positive.…”
Section: Co-movement Globally With Wavelet Approachmentioning
In this article, the co-movement between GCC and US stock market returns was investigated using the wavelet coherence method. The Dynamic Conditional Correlation GARCH (DCC-GARCH) modelling is then applied on timevarying components in order to provide a point of comparison with the results extracted from wavelet analysis. The investigation was conducted on the weekly stock index prices of two USA stock markets, namely Dow Jones and S&P 500 and six GCC stock markets, namely the United Arab Emirates, Saudi Arabia, Qatar, Oman, Kuwait, and Bahrain. The data were retrieved from Thomson Reuters's data stream and the sample duration was from 7 January 2007 to 24 June 2018. As a result, a definite co-movement between several GCC stock markets and those of the US stock markets for a long term was found. Moreover, the results also displayed signs of the significant disparity between the co-movements of the stock markets throughout the scales of time during economic decline. This phenomenon was possibly expected during the economic decline, where a significant divergence occurred as opposed to co-movement. The implications of the findings for global investors were considerable due to the indication from long-term co-movement that these investors would not be capable of gaining simultaneous profit from time and portfolio being diversified. In fact, the results showed the major difference in the opportunities for international portfolio diversification throughout these markets in terms of scale and time.
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