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Publisher: Elsevier
Journal: International Review of Financial Analysis
Languages: English
Types: Article
Subjects: Economics and Econometrics, Finance, HG
This paper examines the weak-form efficiency of the global gold markets with specific focus on the random walks (RWS) and martingale difference sequence (MDS) hypotheses, and consequently, investigates the extent to which predictability or non-predictability of global daily spot gold price return series behaviour can be explained by volatilities in macroeconomic fundamentals. We apply traditional parametric variance-ratio tests and their recent non-parametric modifications based on ranks and signs to one of the largest datasets on world gold markets to-date, consisting of daily spot price series of 28 emerging and developed gold markets from January 1968 to August 2014. First, our results show that gold markets in Egypt, Indonesia, Mexico, Nepal, Pakistan, Russia, Saudi Arabia, UAE and Vietnam are not weak-form efficient neither from the perspective of the strict RWS nor in the relaxed MDS sense. By contrast, RWS and MDS hypotheses cannot be rejected for gold markets in Hong Kong, Japan, Switzerland, UK and US at the conventional rejection levels. Results for gold markets in Australia, Bahrain, Brazil, Canada, China, Germany, India, Malaysia, Singapore, South Africa, South Korea, Taiwan, Thailand and Turkey are, however, mixed. Second, our findings show that greater changes in economic fundamentals are associated with lower levels of rejecting the RWS and MDS hypotheses. Third, our evidence shows that the probability of rejecting the weak-form efficiency is higher in emerging gold markets than developed ones. Fourth, our results show that the RWS hypothesis is rejected more frequently than its MDS alternative, and thereby justifying our decision to conduct an explicit test of the RWS and MDS hypotheses. Our results are robust to estimating subsamples, overlapping rolling windows and endogeneity corrected models, as well as controlling for a number of country-specific institutional and trading factors. Our findings have crucial implications for global portfolio managers, investors, poly-makers and regulatory authorities.\ud \ud \ud Keywords Global gold markets; Macroeconomic variables; Random walks and martingales; Weak-form efficiency; Variance-ratios; Ranks and signs
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Abken, P.A. (1980). The economics of gold price movements. Economic Review, Federal Reserve Bank of Richmond, 66, 3-13.
    • Apergis, N. (2014). Can gold prices forecast the Australian dollar movements? International Review of Economics and Finance, 29, 75-82.
    • Ayadi, O.F., & Pyun, C.S. (1994). An application of variance ratio test to the Korean securities Market. Journal of Banking and Finance, 18, 643-658.
    • Ball, C.A., Torous, W.N., & Tschoegl, A.E. (1985). An empirical of the EOE gold options market. Journal of Banking and Finance, 9, 101-113.
    • Ball, C.A., Torous, W.N., & Tschoegl, A.D. (1982). Gold and the “weekend effect”. Journal of Futures Markets, 2(2), 175-182.
    • Batten, J., Ciner, C., & Lucey, B.M. (2010). The macroeconomic determinants of volatility in precious metals markets. Resources Policy, 35(2), 65-71.
    • Basu, S., & Clouse, M.L. (1993). A comparative analysis of gold market efficiency using derivative market information. Resources Policy, 19(3), 217-224.
    • Batchelor, R., & Gulley, D. (1995). Jewellery demand and the price of gold. Resources Policy, 21(1), 37-42.
    • Baur, D.G. (2013). The autumn effect of gold. Research in International Business and Finance, 27(1), 1-11.
    • Baur, D.G., & McDermott, T.K. (2010). Is gold a safe haven? International evidence. Journal of Banking & Finance, 34, 1886-1898.
    • Beckers, S. (1984). On the efficiency of the gold options market. Journal of Banking and Finance, 8, 459-470.
    • Baur, D.G., & Lucey, B.M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Review, 45(2), 217-229.
    • Belaire-Franch, J., & Opong, K.K. (2005a). A variance ratio test of the behaviour of some FTSE equity indices using ranks and signs. Review of Quantitative Finance and Accounting, 24, 93-107.
    • Belaire-Franch, J., & Opong, K.K. (2005b). Some evidence of random walk behaviour in Euro exchange rates using ranks and signs. Journal of Banking and Finance, 29(7), 163-1643.
    • Belaire-Franch, J., & Opong, K.K. (2010). Testing for random walk in Euro exchange rates using the subsampling approach. Applied Economics Letters, 17(12), 1145-1151.
    • Bialkowski, J., Bohl, M.T., Stephan, P.M., & Wisniewski, T.P. (2014). The gold price in times of crisis. International Review of Financial Analysis, Forthcoming.
    • Blose, L.E. (2010). Gold price risk and the returns of gold mutual funds. Journal of Ecomomics and Business, 48, 499-513.
    • Blose, L.E., & Gondhalekar, V. (2013). Weekend gold returns in bull and bear markets. Accounting & Finance, 53(3), 609-622.
    • Blose, L.E., & Shieh, J.C. (1995). The impact of gold price on the value of gold mining stock. Review of Financial Economics, 4(2), 125-139.
    • Blose, L.E. (2010). Gold prices, cost of carry, and expected inflation. Journal of Economics and Business, 62, 35-47.
    • Booth, G.G., & Kaen, F. (1979). Gold and silver spot prices and market informational efficiency. Financial Review, 14(1), 21-26.
    • Campbell, J.Y., Lo, A.W., & MacKinlay, A.C. (1997). The econometrics of financial markets. Princeston: Princeston University Press.
    • Caminschi, A., & Heaney, R. (2014). Fixing a leaky fixing: Short‐ term market reactions to the London PM gold price fixing. Journal of Futures Markets, Forthcoming.
    • Capie, F., Mills, T.C., & Wood, G. (2005). Gold as a hedge against the dollar. International Financial Markets, Institutions and Money, 15, 343-352.
    • Chang, C.-L., Chang, J.-C.D., & Huang, Y.-W. (2013). Dynamic price integration in the global gold market. North American Journal of Economics and Finance, 26, 227-235.
    • Chow, K.V., & Denning, K.C. (1993). A simple multiple variance ratios test. Journal of Econometrics, 58, 385- 401.
    • Christie-David, R., Chaudhry, M., & Koch, T.W. (2000). Do macroeconomics news releases affect gold and silver prices? Journal of Economics and Business, 52(5), 405-21.
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