New evidence on hedges and safe havens for Gulf stock markets using the wavelet-based quantile

This paper examines the dynamic tail dependence structure for the Gulf equity indices, using the Dow Jones Islamic world emerging equity index and four macroeconomics factors (the three-month U.S. Treasury bill rate, the VIX index, gold prices and oil prices) under different market conditions and scale or investment horizons. We find little or insignificant dependence at the short investment horizon but strong asymmetric dependence at the middle and long investment horizons. Gold is a strong hedge and a safe haven at the short, middle and long run horizons for all Gulf markets.

[1]  Aviral Kumar Tiwari,et al.  Oil price and exchange rates: A wavelet based analysis for India , 2013 .

[2]  Ricardo J. Caballero,et al.  Collective Risk Management in a Flight to Quality Episode , 2007 .

[3]  P. Phillips,et al.  Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? , 1992 .

[4]  Stephen Gray,et al.  Asset market linkages: Evidence from financial, commodity and real estate assets , 2011 .

[5]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[6]  Duc Khuong Nguyen,et al.  Are Sharia stocks, gold and U.S. Treasury hedges and/or safe havens for the oil-based GCC markets? , 2015 .

[7]  D. Baur,et al.  Institute for International Integration Studies Is Gold a Safe Haven? International Evidence Is Gold a Safe Haven? International Evidence Is Gold a Safe Haven? International Evidence , 2022 .

[8]  M. Hassan,et al.  Global and regional integration of the Middle East and North African (MENA) stock markets , 2008 .

[9]  R. Koenker,et al.  Computing regression quantiles , 1987 .

[10]  S. Hammoudeh,et al.  Dynamic dependence of the global Islamic equity index with global conventional equity market indices and risk factors , 2014 .

[11]  Dirk G. Baur,et al.  The Structure and Degree of Dependence - A Quantile Regression Approach , 2011 .

[12]  R. Whaley.  Understanding the VIX , 2009, The Journal of Portfolio Management.

[13]  P. Phillips.  Testing for a Unit Root in Time Series Regression , 1988 .

[14]  B. Lucey,et al.  Hedges and Safe Havens: An Examination of Stocks, Bonds, Gold, Oil and Exchange Rates , 2013 .

[15]  S. Durai,et al.  Stock prices, inflation and output: Evidence from wavelet analysis , 2009 .

[16]  Duc Khuong Nguyen,et al.  Do global factors impact BRICS stock markets? A quantile regression approach , 2014 .

[17]  Identifying safe haven assets for equity investors through an analysis of the stability of shock transmission , 2014 .

[18]  M. Hood,et al.  Is gold the best hedge and a safe haven under changing stock market volatility , 2013 .

[19]  Moshe Buchinsky.  Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study , 1995 .

[20]  S. Hammoudeh,et al.  Global risk exposures and industry diversification with Shariah-compliant equity sectors , 2015 .

[21]  António Rua,et al.  Measuring comovement in the time-frequency space , 2010 .

[22]  B. Lucey,et al.  Institute for International Integration Studies Is Gold a Hedge or a Safe Haven? an Analysis of Stocks, Bonds and Gold Is Gold a Hedge or a Safe Haven? an Analysis of Stocks, Bonds and Gold , 2022 .

[23]  W. Fuller,et al.  Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .

[24]  R. Koenker,et al.  Robust Tests for Heteroscedasticity Based on Regression Quantiles , 1982 .