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ABSTRACT

We investigate the conditional cross effects and volatility spillover between equity markets and commodity markets (oil and gold), Fama and French HML and SMB factors, volatility index (VIX) and bonds using different multivariate GARCH specifications considering the potential asymmetry and persistence behaviours. We analyse the dynamic conditional correlation between the US equity market and a set of commodity prices and risk factors to forecast the transmission of shock to the equity market firstly, and to determine and compare the optimal hedge ratios from the different models based on the hedging effectiveness of each model. Our findings suggest that all models confirm the significant returns and volatility spillovers. More importantly, we find that GO-GARCH is the best-fit model for modelling the joint dynamics of different financial variables. The results of the current study have implications for investors: (i) the equity market displays inverted dynamics with the volatility index suggesting strong evidence of diversification benefit; (ii) of the hedging assets gold appears the best hedge for the US equity market as it has a higher hedge effectiveness than oil and bonds over time; and (iii) despite these important results, a better hedge may be obtained by using well-selected firm sized and profitability-based portfolios.  相似文献   
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This paper examines the role played by local and international factors in the international integration process to stock markets worldwide. Using a sample of ASEAN + 3 (Association of South East Asian Nations + China, Korea and Japan) during the period between 2000 and 2014, we identify the main factors that might influence regional integration of stock markets. We propose an advantageous econometric approach based on a conditional version of the Dynamic International Capital Asset Pricing Model (ICAPM) to explore major sources of time-varying risks. We specifically apply the multivariate BEKK-GARCH process of Cappiello et al. (Journal of Financial Econometrics 25:537–572, 2006) to simultaneously estimate the ICAPM for each country. The study puts in evidence that regional trade openness, regional and world industrial production, dividend yields and commodity prices are among the key determinants of regional integration in the ASEAN + 3 context whatever is the measure of exchange rate risk.

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