2017
DOI: 10.1007/s11156-017-0622-4
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Determinants of equity return correlations: a case study of the Amman Stock Exchange

Abstract: This paper seeks to explain time-varying correlations among equity returns. The literature has shown that fundamental and economic factors can explain stock returns or the volatility of markets. Here, panel data analysis is employed to examine whether these factors can also explain the comovement of stock returns. Time-varying correlations among sectoral indexes are estimated using a restricted multivariate threshold GARCH model with dynamic conditional correlation (DCC-MTGARCH) controlling for the asymmetric … Show more

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Cited by 16 publications
(10 citation statements)
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References 66 publications
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“…In order to find a representative factor for each criterion, we employ a nonparametric method, so-called Principal Component Analysis (PCA), to reduce the dimensional space of data, collapsing the dataset into a smaller number of uncorrelated factors (Jolliffe 2002;Shlens 2009). Two main advantages of this factor analysis method are that: (i) It analyses the co-movement of variables (see, for example, Abhakorn and Tantisantiwong 2012); and (ii) Provides loadings that can be used to construct principal factors representing the movement of variables considered (see, for example, Alomari et al 2018). To avoid the overloading or underloading problem due to different units and sizes of variables, we first transform the variables to be unitless by standardizing the data.…”
Section: Index Constructionmentioning
confidence: 99%
“…In order to find a representative factor for each criterion, we employ a nonparametric method, so-called Principal Component Analysis (PCA), to reduce the dimensional space of data, collapsing the dataset into a smaller number of uncorrelated factors (Jolliffe 2002;Shlens 2009). Two main advantages of this factor analysis method are that: (i) It analyses the co-movement of variables (see, for example, Abhakorn and Tantisantiwong 2012); and (ii) Provides loadings that can be used to construct principal factors representing the movement of variables considered (see, for example, Alomari et al 2018). To avoid the overloading or underloading problem due to different units and sizes of variables, we first transform the variables to be unitless by standardizing the data.…”
Section: Index Constructionmentioning
confidence: 99%
“…Some researches have linked growth to a contagion. Economies could grow by associating with larger economies since there is evidence of spillovers from the developed to emerging economies (Alomari et al, 2017). It has been discovered that, African economies are not highly correlated with global markets, this disconnectedness has been blamed for their underdevelopment (Agyei-Ampomah, 2017).…”
Section: Economic Growth Is Represented By the Gross Domestic Product...mentioning
confidence: 99%
“…Clearly analyzing the interdependence structure of the stock market is not only of great significance for investors to diversify investment and build investment portfolios during the pandemic, but also is conducive to risk management of the financial market by the regulatory authorities. In recent years, there has been a certain amount of researches on the subject of interdependence among stock markets [18][19][20][21][22][23][24][25]; in these studies, GARCH model, Copula model, Granger causality test, DCC model, and other methods are used to study the interdependence structure between various stock sectors in different countries.…”
Section: Introductionmentioning
confidence: 99%