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Forecasting volatility of gold: Comparison of Turkish gold and equity markets’ risk profile

Author

Listed:
  • Necla Ý. KÜÇÜKÇOLAK

    (Takasbank, Istanbul, Turkey)

  • Figen BÜYÜKAKIN

    (Istanbul Commerce University, Management Faculty, Department of Business Administration)

  • Ali KÜÇÜKÇOLAK

    (Istanbul Commerce University, Management Faculty, Department of Business Administration)

Abstract

Predicting price changes of a commodity thus, forecasting volatility thereof have significant importance for the risk measurement purpose. Perception is that the highly volatile assets overreact more under stressed market conditions, cause excessive volatility and are traded with a discount. In this paper, we evaluated volatility structure of gold and equity markets in Turkey with GARCH volatility modeling methodology, an extended version of ARCH model. Comparison of volatility clustering and overall risk profile of both markets was made. The results show that persistence exists in the volatility process and current conditional volatility of gold prices is significantly impacted by its own past shocks and volatility. The results also confirms the volatility clustering that high volatilities are likely to be pursued by high ones and vice versa in both gold and equity markets. Parallel to literature finding, gold is a diversification instrument because of its low correlation with stock markets and its low risk profile feature induced with low volatilities in gold markets than equity markets.

Suggested Citation

  • Necla Ý. KÜÇÜKÇOLAK & Figen BÜYÜKAKIN & Ali KÜÇÜKÇOLAK, 2019. "Forecasting volatility of gold: Comparison of Turkish gold and equity markets’ risk profile," Turkish Economic Review, EconSciences Journals, vol. 6(3), pages 200-217, September.
  • Handle: RePEc:cvv:journ2:v:6:y:2019:i:3:p:200-217
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    References listed on IDEAS

    as
    1. Reboredo, Juan C., 2013. "Is gold a hedge or safe haven against oil price movements?," Resources Policy, Elsevier, vol. 38(2), pages 130-137.
    2. Kearney, Colm & Patton, Andrew J, 2000. "Multivariate GARCH Modeling of Exchange Rate Volatility Transmission in the European Monetary System," The Financial Review, Eastern Finance Association, vol. 35(1), pages 29-48, February.
    3. Shu-Mei Chiang & Chi-Tai Lin & Chien-Ming Huang, 2013. "The Relationships Among Stocks, Bonds and Gold: Safe Haven, Hedge or Neither?," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
    4. Sinha, Pankaj & Mathur, Kritika, 2016. "Linkages between Gold Futures Traded in Indian Commodity Futures Market and International Commodity Futures Market," MPRA Paper 72967, University Library of Munich, Germany.
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    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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