کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
974904 1479777 2016 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Volatility transmission across currencies and commodities with US uncertainty measures
ترجمه فارسی عنوان
انتقال نوسانات در میان ارز و کالاها با اقدامات مبهم آمریکا
کلمات کلیدی
مارکف؛ کالاها؛ اقدامات مبهم ایالات متحده؛ انتقال نوسانات
موضوعات مرتبط
علوم انسانی و اجتماعی اقتصاد، اقتصادسنجی و امور مالی اقتصاد و اقتصادسنجی
چکیده انگلیسی


• We examine volatility transmission patterns for four currencies and seven commodities.
• Multi-Chain Markov Switching model (MCMS) is used to examine four transmission patterns.
• Interdependence dominates spillover when U.S. uncertainty variables are excluded.
• Spillover overwhelms interdependence when the uncertainty variables are included.
• Comovement is the least prevalent regardless whether uncertainty is included or not.

This paper uses the Multi-chain Markov Switching model (MCMS) conditioned on US uncertainty measures (VIX, VIX-oil and FSI) to examine the patterns of volatility transmission across the resource, major and safe haven currencies The results with and without the uncertainty variables generally identify three patterns of volatility transmission: interdependence, spillover and comovement. They reveal the dominance of interdependence over spillovers and comovements when the uncertainty variables are excluded, highlighting the significance of mutual reciprocity of individual market shocks over common shocks across the selected assets. Within portfolios of a two-variable framework (two variables representing two minimum variance portfolios (à la Markowitz), containing a weighted combination of the currencies and of the commodities, respectively), we find interdependence between the two portfolios with and without the VIX, a spillover from commodities to currencies in the case when the FSI is included and independence between the two portfolios in the case when the oil-VIX is accounted for. The implications of the results are important for the portfolio managers in selecting portfolios’ components during high oil volatility periods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The North American Journal of Economics and Finance - Volume 37, July 2016, Pages 63–83
نویسندگان
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