IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v41y2015icp218-236.html
   My bibliography  Save this article

On the efficiency of the global gold markets

Author

Listed:
  • Ntim, Collins G.
  • English, John
  • Nwachukwu, Jacinta
  • Wang, Yan

Abstract

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.

Suggested Citation

  • Ntim, Collins G. & English, John & Nwachukwu, Jacinta & Wang, Yan, 2015. "On the efficiency of the global gold markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 218-236.
  • Handle: RePEc:eee:finana:v:41:y:2015:i:c:p:218-236
    DOI: 10.1016/j.irfa.2015.03.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521915000642
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2015.03.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Blose, Laurence E., 2010. "Gold prices, cost of carry, and expected inflation," Journal of Economics and Business, Elsevier, vol. 62(1), pages 35-47, January.
    2. Narayan, Paresh Kumar & Narayan, Seema & Zheng, Xinwei, 2010. "Gold and oil futures markets: Are markets efficient?," Applied Energy, Elsevier, vol. 87(10), pages 3299-3303, October.
    3. Martin Feldstein, 1983. "Inflation, Tax Rules, and the Prices of Land and Gold," NBER Chapters, in: Inflation, Tax Rules, and Capital Formation, pages 221-228, National Bureau of Economic Research, Inc.
    4. Graham Smith & Keith Jefferis & Hyun-Jung Ryoo, 2002. "African stock markets: multiple variance ratio tests of random walks," Applied Financial Economics, Taylor & Francis Journals, vol. 12(7), pages 475-484.
    5. Lo, Andrew W. & MacKinlay, A. Craig, 1989. "The size and power of the variance ratio test in finite samples : A Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 40(2), pages 203-238, February.
    6. Sjaastad, Larry A. & Scacciavillani, Fabio, 1996. "The price of gold and the exchange rate," Journal of International Money and Finance, Elsevier, vol. 15(6), pages 879-897, December.
    7. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    8. Collins G. Ntim & Kwaku K. Opong & Jo Danbolt, 2007. "An Empirical Re-Examination of the Weak Form Efficient Markets Hypothesis of the Ghana Stock Market Using Variance-Ratios Tests," The African Finance Journal, Africagrowth Institute, vol. 9(2), pages 1-25.
    9. Wang, Kuan-Min & Lee, Yuan-Ming & Thi, Thanh-Binh Nguyen, 2011. "Time and place where gold acts as an inflation hedge: An application of long-run and short-run threshold model," Economic Modelling, Elsevier, vol. 28(3), pages 806-819, May.
    10. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    11. Basu, Somnath & Clouse, Maclyn L., 1993. "A comparative analysis of gold market efficiency using derivative market information," Resources Policy, Elsevier, vol. 19(3), pages 217-224, September.
    12. Luger, Richard, 2003. "Exact non-parametric tests for a random walk with unknown drift under conditional heteroscedasticity," Journal of Econometrics, Elsevier, vol. 115(2), pages 259-276, August.
    13. Ntim, Collins G, 2012. "Why African Stock Markets Should Formally Harmonise and Integrate their Operations," MPRA Paper 45806, University Library of Munich, Germany.
    14. Jorge Belaire-Franch & Kwaku Opong, 2005. "A Variance Ratio Test of the Behaviour of Some FTSE Equity Indices Using Ranks and Signs," Review of Quantitative Finance and Accounting, Springer, vol. 24(1), pages 93-107, January.
    15. Sjaastad, Larry A., 2008. "The price of gold and the exchange rates: Once again," Resources Policy, Elsevier, vol. 33(2), pages 118-124, June.
    16. Blose, Laurence E. & Shieh, Joseph C. P., 1995. "The impact of gold price on the value of gold mining stock," Review of Financial Economics, Elsevier, vol. 4(2), pages 125-139.
    17. Parisi, Antonino & Parisi, Franco & Díaz, David, 2008. "Forecasting gold price changes: Rolling and recursive neural network models," Journal of Multinational Financial Management, Elsevier, vol. 18(5), pages 477-487, December.
    18. Apergis, Nicholas, 2014. "Can gold prices forecast the Australian dollar movements?," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 75-82.
    19. Laurence E. Blose & Vijay Gondhalekar, 2013. "Weekend gold returns in bull and bear markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(3), pages 609-622, September.
    20. Tschoegl, Adrian E., 1980. "Efficiency in the gold market -- a note," Journal of Banking & Finance, Elsevier, vol. 4(4), pages 371-379, December.
    21. Brian M. Lucey & Charles Larkin & Fergal O'Connor, 2014. "Gold markets around the world - who spills over what, to whom, when?," Applied Economics Letters, Taylor & Francis Journals, vol. 21(13), pages 887-892, September.
    22. Ball, Clifford A. & Torous, Walter N. & Tschoegl, Adrian E., 1985. "An empirical investigation of the EOE gold options market," Journal of Banking & Finance, Elsevier, vol. 9(1), pages 101-113, March.
    23. Govett, M. H. & Govett, G. J. S., 1982. "Gold demand and supply," Resources Policy, Elsevier, vol. 8(2), pages 84-96, June.
    24. Laulajainen, Risto, 1990. "Gold price round the clock : Technical and fundamental issues," Resources Policy, Elsevier, vol. 16(2), pages 143-152, June.
    25. Kaufmann, Thomas D. & Winters, Richard A., 1989. "The price of gold : A simple model," Resources Policy, Elsevier, vol. 15(4), pages 309-313, December.
    26. Graham Smith, 2002. "Tests of the random walk hypothesis for London gold prices," Applied Economics Letters, Taylor & Francis Journals, vol. 9(10), pages 671-674.
    27. Liu, Christina Y & He, Jia, 1991. "A Variance-Ratio Test of Random Walks in Foreign Exchange Rates," Journal of Finance, American Finance Association, vol. 46(2), pages 773-785, June.
    28. Hsieh, David A, 1991. "Chaos and Nonlinear Dynamics: Application to Financial Markets," Journal of Finance, American Finance Association, vol. 46(5), pages 1839-1877, December.
    29. Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M., 2010. "The macroeconomic determinants of volatility in precious metals markets," Resources Policy, Elsevier, vol. 35(2), pages 65-71, June.
    30. Mahdavi, Saeid & Zhou, Su, 1997. "Gold and commodity prices as leading indicators of inflation: Tests of long-run relationship and predictive performance," Journal of Economics and Business, Elsevier, vol. 49(5), pages 475-489.
    31. Brian M. Lucey & Charles Larkin & Fergal A. O'Connor, 2013. "London or New York: where and when does the gold price originate?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(8), pages 813-817, May.
    32. Robert Savit, 1988. "When random is not random: An introduction to chaos in market prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 8(3), pages 271-290, June.
    33. Jorge Belaire-Franch & Kwaku Opong, 2010. "Testing for random walk in euro exchange rates using the subsampling approach," Applied Economics Letters, Taylor & Francis Journals, vol. 17(12), pages 1145-1151.
    34. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    35. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    36. Mr. M. G O'Callaghan, 1991. "The Structure and Operation of the World Gold Market," IMF Working Papers 1991/120, International Monetary Fund.
    37. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "The crude oil market and the gold market: Evidence for cointegration, causality and price discovery," Resources Policy, Elsevier, vol. 35(3), pages 168-177, September.
    38. Mills, Terence C., 2004. "Statistical analysis of daily gold price data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(3), pages 559-566.
    39. Ho, Yan-Ki, 1985. "A test of the incrementally efficient market hypothesis for the London gold market," Economics Letters, Elsevier, vol. 19(1), pages 67-70.
    40. Peter A. Abken, 1980. "The economics of gold price movements," Economic Review, Federal Reserve Bank of Richmond, vol. 66(Mar), pages 3-13.
    41. Pukthuanthong, Kuntara & Roll, Richard, 2011. "Gold and the Dollar (and the Euro, Pound, and Yen)," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2070-2083, August.
    42. Chang, Chia-Lin & Della Chang, Jui-Chuan & Huang, Yi-Wei, 2013. "Dynamic price integration in the global gold market," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 227-235.
    43. Białkowski, Jędrzej & Bohl, Martin T. & Stephan, Patrick M. & Wisniewski, Tomasz P., 2015. "The gold price in times of crisis," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 329-339.
    44. Xu, Xiaoqing Eleanor & Fung, Hung-Gay, 2005. "Cross-market linkages between U.S. and Japanese precious metals futures trading," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(2), pages 107-124, April.
    45. Selvanathan, Saroja & Selvanathan, E. A., 1999. "The effect of the price of gold on its production: a time-series analysis," Resources Policy, Elsevier, vol. 25(4), pages 265-275, December.
    46. Clifford A. Ball & Walter N. Torous & Adrian E. Tschoegl, 1982. "Gold and the “weekend effect”," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 2(2), pages 175-182, June.
    47. Rockerbie, Duane W., 1999. "Gold prices and gold production: Evidence for South Africa," Resources Policy, Elsevier, vol. 25(2), pages 69-76, June.
    48. Andrew Caminschi & Richard Heaney, 2014. "Fixing a Leaky Fixing: Short‐Term Market Reactions to the London PM Gold Price Fixing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(11), pages 1003-1039, November.
    49. Gulnur Muradoglu & Nese Akkaya & Jamel Chafra, 1998. "The effect of the establishment of an organized exchange on weak form efficiency: the case of Istanbul Gold Exchange," The European Journal of Finance, Taylor & Francis Journals, vol. 4(1), pages 85-92.
    50. Pradeep Dubey & John Geanakoplos & Martin Shubik, 2003. "Is gold an efficient store of value?," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 21(4), pages 767-782, June.
    51. Wright, Jonathan H, 2000. "Alternative Variance-Ratio Tests Using Ranks and Signs," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 1-9, January.
    52. Solt, Michael E & Swanson, Paul J, 1981. "On the Efficiency of the Markets for Gold and Silver," The Journal of Business, University of Chicago Press, vol. 54(3), pages 453-478, July.
    53. Chuluun, Tuugi & Eun, Cheol S. & Kiliç, Rehim, 2011. "Investment intensity of currencies and the random walk hypothesis: Cross-currency evidence," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 372-387, February.
    54. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    55. Batchelor, Roy & Gulley, David, 1995. "Jewellery demand and the price of gold," Resources Policy, Elsevier, vol. 21(1), pages 37-42, March.
    56. Belaire-Franch, Jorge & Opong, Kwaku K., 2005. "Some evidence of random walk behavior of Euro exchange rates using ranks and signs," Journal of Banking & Finance, Elsevier, vol. 29(7), pages 1631-1643, July.
    57. Blose, Laurence E., 1996. "Gold price risk and the returns on gold mutual funds," Journal of Economics and Business, Elsevier, vol. 48(5), pages 499-513, December.
    58. Tully, Edel & Lucey, Brian M., 2007. "A power GARCH examination of the gold market," Research in International Business and Finance, Elsevier, vol. 21(2), pages 316-325, June.
    59. Wang, Yudong & Wei, Yu & Wu, Chongfeng, 2011. "Analysis of the efficiency and multifractality of gold markets based on multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(5), pages 817-827.
    60. Ewing, Bradley T. & Malik, Farooq, 2013. "Volatility transmission between gold and oil futures under structural breaks," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 113-121.
    61. Baur, Dirk G., 2013. "The autumn effect of gold," Research in International Business and Finance, Elsevier, vol. 27(1), pages 1-11.
    62. Capie, Forrest & Mills, Terence C. & Wood, Geoffrey, 2005. "Gold as a hedge against the dollar," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(4), pages 343-352, October.
    63. Ayadi, O. Felix & Pyun, C. S., 1994. "An application of variance ratio test to the Korean securities market," Journal of Banking & Finance, Elsevier, vol. 18(4), pages 643-658, September.
    64. Jorge L. Urrutia, 1995. "Tests Of Random Walk And Market Efficiency For Latin American Emerging Equity Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 18(3), pages 299-309, September.
    65. Christie-David, Rohan & Chaudhry, Mukesh & Koch, Timothy W., 2000. "Do macroeconomics news releases affect gold and silver prices?," Journal of Economics and Business, Elsevier, vol. 52(5), pages 405-421.
    66. Wang, Kuan-Min & Lee, Yuan-Ming, 2011. "The yen for gold," Resources Policy, Elsevier, vol. 36(1), pages 39-48, March.
    67. Shafiee, Shahriar & Topal, Erkan, 2010. "An overview of global gold market and gold price forecasting," Resources Policy, Elsevier, vol. 35(3), pages 178-189, September.
    68. Davidson, Sinclair & Faff, Robert & Hillier, David, 2003. "Gold factor exposures in international asset pricing," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(3), pages 271-289, July.
    69. Margaret A. Monroe & Richard A. Cohn, 1986. "The relative efficiency of the gold and treasury bill futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 6(3), pages 477-493, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Schweikert, Karsten, 2018. "Are gold and silver cointegrated? New evidence from quantile cointegrating regressions," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 44-51.
    2. Chenyu Han & Yiming Wang & Yingying Xu, 2019. "Efficiency and Multifractality Analysis of the Chinese Stock Market: Evidence from Stock Indices before and after the 2015 Stock Market Crash," Sustainability, MDPI, vol. 11(6), pages 1-15, March.
    3. Christian Pierdzioch & Marian Risse & Sebastian Rohloff, 2016. "Fluctuations of the real exchange rate, real interest rates, and the dynamics of the price of gold in a small open economy," Empirical Economics, Springer, vol. 51(4), pages 1481-1499, December.
    4. Rupel Nargunam & N. Anuradha, 2017. "Market efficiency of gold exchange-traded funds in India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-18, December.
    5. Osman Gulseven, 2020. "Turn-of-the Year Affect in Gold Prices: Decomposition Analysis," Papers 2003.11027, arXiv.org.
    6. O'Connor, Fergal A. & Lucey, Brian M. & Batten, Jonathan A. & Baur, Dirk G., 2015. "The financial economics of gold — A survey," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 186-205.
    7. Helga Å padina, 2016. "Labour Discrimination Related to Pregnancy and Motherhood in Croatia," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 2, ejes_v2_i.
    8. Diniz-Maganini, Natalia & Rasheed, Abdul A. & Sheng, Hsia Hua, 2021. "Exchange rate regimes and price efficiency: Empirical examination of the impact of financial crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    9. Zhang, Guangyong & Jiang, Le & Tian, Lixin & Fu, Min, 2021. "Analysis of the gold fixing price fluctuation in different times based on the directed weighted networks," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    10. de Resende, Charlene C. & Pereira, Adriano C.M. & Cardoso, Rodrigo T.N. & de Magalhães, A.R. Bosco, 2017. "Investigating market efficiency through a forecasting model based on differential equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 199-212.
    11. Andrew Urquhart, 2017. "How predictable are precious metal returns?," The European Journal of Finance, Taylor & Francis Journals, vol. 23(14), pages 1390-1413, November.
    12. Wang, Gang-Jin & Xie, Chi & Jiang, Zhi-Qiang & Stanley, H. Eugene, 2016. "Extreme risk spillover effects in world gold markets and the global financial crisis," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 55-77.
    13. Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices," Resources Policy, Elsevier, vol. 69(C).
    14. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A quantile-boosting approach to forecasting gold returns," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 38-55.
    15. Garcia, M.M. & Machado Pereira, A.C. & Acebal, J.L. & Bosco de Magalhães, A.R., 2020. "Forecast model for financial time series: An approach based on harmonic oscillators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    16. Apergis, Nicholas & Eleftheriou, Sofia, 2016. "Gold returns: Do business cycle asymmetries matter? Evidence from an international country sample," Economic Modelling, Elsevier, vol. 57(C), pages 164-170.
    17. Wahab, Bashir A. & Adewuyi, Adeolu O., 2021. "Analysis of major properties of metal prices using new methods: Structural breaks, non-linearity, stationarity and bubbles," Resources Policy, Elsevier, vol. 74(C).
    18. Bhatia, Madhur, 2023. "On the efficiency of the gold returns: An econometric exploration for India, USA and Brazil," Resources Policy, Elsevier, vol. 82(C).
    19. Esra ALP & Ünal SEVEN, 2019. "Türkiye Konut Piyasasında Etkinlik Analizi," Istanbul Business Research, Istanbul University Business School, vol. 48(1), pages 84-112, May.
    20. Zhang, Wei & Wang, Pengfei & Li, Xiao & Shen, Dehua, 2018. "The inefficiency of cryptocurrency and its cross-correlation with Dow Jones Industrial Average," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 658-670.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. O'Connor, Fergal A. & Lucey, Brian M. & Batten, Jonathan A. & Baur, Dirk G., 2015. "The financial economics of gold — A survey," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 186-205.
    2. Amélie Charles & Olivier Darné & Jae H. Kim, 2014. "Precious metals shine? A market efficiency perspective," Working Papers hal-01010516, HAL.
    3. Charles, Amélie & Darné, Olivier & Kim, Jae H., 2015. "Will precious metals shine? A market efficiency perspective," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 284-291.
    4. Beckmann, Joscha & Czudaj, Robert, 2013. "Gold as an inflation hedge in a time-varying coefficient framework," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 208-222.
    5. Andrew Urquhart, 2017. "How predictable are precious metal returns?," The European Journal of Finance, Taylor & Francis Journals, vol. 23(14), pages 1390-1413, November.
    6. Qureshi, Saba & Rehman, Ijaz Ur & Qureshi, Fiza, 2018. "Does gold act as a safe haven against exchange rate fluctuations? The case of Pakistan rupee," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 685-708.
    7. Joscha Beckmann & Robert Czudaj, 2012. "Gold as an Infl ation Hedge in a Time-Varying Coeffi cient Framework," Ruhr Economic Papers 0362, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    8. Michael Murach, 2019. "Global Determinants of the Gold Price: A Multivariate Cointegration Analysis," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 198-214, February.
    9. Semeyutin, Artur & Downing, Gareth, 2022. "Co-jumps in the U.S. interest rates and precious metals markets and their implications for investors," International Review of Financial Analysis, Elsevier, vol. 81(C).
    10. Shafiee, Shahriar & Topal, Erkan, 2010. "An overview of global gold market and gold price forecasting," Resources Policy, Elsevier, vol. 35(3), pages 178-189, September.
    11. repec:zbw:rwirep:0362 is not listed on IDEAS
    12. Bariviera, Aurelio F. & Font-Ferrer, Alejandro & Sorrosal-Forradellas, M. Teresa & Rosso, Osvaldo A., 2019. "An information theory perspective on the informational efficiency of gold price," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    13. Hoang, Thi-Hong-Van & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Is gold different for risk-averse and risk-seeking investors? An empirical analysis of the Shanghai Gold Exchange," Economic Modelling, Elsevier, vol. 50(C), pages 200-211.
    14. Białkowski, Jędrzej & Bohl, Martin T. & Stephan, Patrick M. & Wisniewski, Tomasz P., 2015. "The gold price in times of crisis," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 329-339.
    15. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    16. Beckmann, Joscha & Berger, Theo & Czudaj, Robert, 2015. "Does gold act as a hedge or a safe haven for stocks? A smooth transition approach," Economic Modelling, Elsevier, vol. 48(C), pages 16-24.
    17. Thi Hong Van Hoang & Amine Lahiani & David Heller, 2016. "Is gold a hedge against inflation? New evidence from a nonlinear ARDL approach," Post-Print hal-02012307, HAL.
    18. Hoang, Thi Hong Van & Lahiani, Amine & Heller, David, 2016. "Is gold a hedge against inflation? New evidence from a nonlinear ARDL approach," Economic Modelling, Elsevier, vol. 54(C), pages 54-66.
    19. Mohamed Arbi Madani & Zied Ftiti, 2019. "The Generalisation of the DMCA Coefficient to Serve Distinguishing Between Hedge and Safe Haven Capabilities of the Gold," Papers 1912.12590, arXiv.org.
    20. Dichtl, Hubert, 2020. "Forecasting excess returns of the gold market: Can we learn from stock market predictions?," Journal of Commodity Markets, Elsevier, vol. 19(C).
    21. Ghazali, Mohd Fahmi & Lean, Hooi Hooi & Bahari, Zakaria, 2015. "Sharia compliant gold investment in Malaysia: Hedge or safe haven?," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 192-204.

    More about this item

    Keywords

    Global gold markets; Macroeconomic variables; Random walks and martingales; Weak-form efficiency; Variance-ratios; Ranks and signs;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finana:v:41:y:2015:i:c:p:218-236. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620166 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.