کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5053729 1476517 2015 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Precious metals, cereal, oil and stock market linkages and portfolio risk management: Evidence from Saudi Arabia
ترجمه فارسی عنوان
ارتباطات فلزات گرانبها، غلات، نفت و بازار سهام و مدیریت ریسک نمونه کارها: شواهد از عربستان سعودی
کلمات کلیدی
عربستان سعودی، بازار کالا، همبستگی پویا، اثربخشی کاهش خطر، خطر ضعف
موضوعات مرتبط
علوم انسانی و اجتماعی اقتصاد، اقتصادسنجی و امور مالی اقتصاد و اقتصادسنجی
چکیده انگلیسی


- We study the dynamic linkages between strategic commodity futures and Saudi stock market.
- We evaluate risk hedging and downside risks for different commodity-stock portfolios.
- The bivariate DCC-FIAPARCH models with and without structural breaks are used.
- Evidence shows insignificant DCCs between most of the commodity and Saudi markets.
- The presence of commodities in portfolios based on the Saudi market is useful for investors.

This paper examines the time-varying linkages of a major oil-based frontier stock market with major commodity futures markets including WTI oil, gold, silver, wheat, corn and rice, and draws implications for portfolio risk management. For this purpose, we consider the bivariate DCC-FIAPARCH model with and without structural breaks. Our empirical results reveal evidence of asymmetry and long memory in the conditional volatility and insignificant dynamic conditional correlations between the considered commodity and Saudi stock markets except for the silver-Tadawul pair. Moreover, we assess the implications for mixed commodity-stock portfolios and find strong evidence of diversification benefits, hedging effectiveness and downside risk reductions. This result underscores the usefulness of including commodities in a traditional portfolio of risk management for investors in the Saudi market. These findings are also useful for both portfolio risk managers and designers of policies aimed at using commodities to preserve or stabilize oil exporters' purchasing power.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Economic Modelling - Volume 51, December 2015, Pages 340-358
نویسندگان
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