دانلود مقاله ISI انگلیسی شماره 51525
عنوان فارسی مقاله

ترجمه یکپارچگی مالی به ریسک همبستگی: دیدگاه گزارش هفتگی برای رفتار نوسانات بازار سهام

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
51525 2013 16 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Translating financial integration into correlation risk: A weekly reporting's viewpoint for the volatility behavior of stock markets
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Economic Modelling, Volume 30, January 2013, Pages 776–791

کلمات کلیدی
همبستگی شرطی؛ خطر سرایت؛ BEKK چندمتغیره ؛ اثر اهرم؛ رگرسیون ناپارامتری؛ ریسک سیستماتیک؛ ریسک سیستماتیک؛ سرریز نوسانات
پیش نمایش مقاله
پیش نمایش مقاله ترجمه یکپارچگی مالی به ریسک همبستگی: دیدگاه گزارش هفتگی برای رفتار نوسانات بازار سهام

چکیده انگلیسی

We apply the multivariate extension of GARCH-type models in order to assess the systematic and systemic risks as well as the joint volatility behaviors of the U.S. and three European financial markets (Andersen et al., 2010). Therefore, we can appraise the co-movements of the four previous financial markets as well as the joint behavior of their respective volatilities (i.e. systemic risk). Moreover, the resulting conditional variance and covariance metrics allow for handling volatility spillovers (i.e. contagion risk in terms of transmitting volatility shocks from one market place to another market place). Indeed, results highlight the unprecedented high systemic risk levels (i.e. joint increased volatility levels) as well as a high contagion risk (i.e. volatility spillover) during the subprime mortgage market crisis. The transmission process of volatility shocks reveals to be simultaneous across financial markets due to a strong arbitrage activity and electronic trading practices among others. Most importantly, the estimated conditional correlations exhibit an upward sloping trend, which underlines an increase in the correlation risk between financial markets in the late nineties or early 2000. Thus, our major findings are twofold. First, we characterize the dynamic correlation risk across financial markets. Second, we also confirm the increasing and nonlinear trend in the correlation risk, which we are able to quantify.

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