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The golden target: analyzing the tracking performance of leveraged gold ETFs

Author

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  • Tim Leung
  • Brian Ward

Abstract

Purpose - – The purpose of this study is to understand the tracking errors of leveraged exchange-traded funds (LETFs) on gold and demonstrate improved tracking performance by dynamic portfolios of gold futures. Design/methodology/approach - – The author formulates and solves a constrained quadratic minimization problem to construct static replicating portfolios of both leveraged and unleveraged benchmarks in gold; a dynamic constant leveraged portfolio using gold futures is used to track the path of the leveraged gold benchmark. Findings - – The results suggest that market-traded LETFs do not track a leveraged position in gold effectively over a long horizon, and the dynamic leveraged futures portfolio achieves lower tracking errors over multiple years. Research limitations/implications - – The research informs us that investors should consider alternative portfolios with gold futures, rather than holding a leveraged gold exchange-traded funds to achieve a desired leveraged exposure in spot gold. Originality/value - – The main contribution of the study is the use of gold futures to dynamically replicate a gold benchmark with any given leverage ratio and the detailed comparison of the tracking performance of LETFs versus optimal static and dynamic futures portfolios.

Suggested Citation

  • Tim Leung & Brian Ward, 2015. "The golden target: analyzing the tracking performance of leveraged gold ETFs," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(3), pages 278-297, August.
  • Handle: RePEc:eme:sefpps:v:32:y:2015:i:3:p:278-297
    DOI: 10.1108/SEF-01-2015-0009
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    Citations

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    Cited by:

    1. Tim Leung & Raphael Yan, 2019. "A stochastic control approach to managed futures portfolios," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-22, March.
    2. Tim Leung & Brian Ward, 2020. "Tracking VIX with VIX Futures: Portfolio Construction and Performance," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 21, pages 557-596, World Scientific Publishing Co. Pte. Ltd..
    3. Tim Leung & Hyungbin Park, 2017. "LONG-TERM GROWTH RATE OF EXPECTED UTILITY FOR LEVERAGED ETFs: MARTINGALE EXTRACTION APPROACH," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(06), pages 1-33, September.
    4. Gregor Dorfleitner & Anna Gerl & Johannes Gerer, 2018. "The pricing efficiency of exchange-traded commodities," Review of Managerial Science, Springer, vol. 12(1), pages 255-284, January.
    5. Guo, Kevin & Leung, Tim, 2017. "Understanding the non-convergence of agricultural futures via stochastic storage costs and timing options," Journal of Commodity Markets, Elsevier, vol. 6(C), pages 32-49.
    6. Nian Yao, 2018. "Optimal leverage ratio estimate of various models for leveraged ETFs to exceed a target: Probability estimates of large deviations," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 1-37, June.
    7. Bahman Angoshtari & Tim Leung, 2019. "Optimal dynamic basis trading," Annals of Finance, Springer, vol. 15(3), pages 307-335, September.
    8. Kevin Guo & Tim Leung & Brian Ward, 2019. "How to mine gold without digging," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-30, March.
    9. Tim Leung & Brian Ward, 2018. "Dynamic Index Tracking and Risk Exposure Control Using Derivatives," Applied Mathematical Finance, Taylor & Francis Journals, vol. 25(2), pages 180-212, March.
    10. Subhashis Nandy, 2016. "Empirical Observations on the Tracking Errors and the Risk-Adjusted Returns of REIT-Based Exchange Traded Funds," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(9), pages 1-63, August.
    11. Xiaodong Chen & Tim Leung & Yang Zhou, 2022. "Constrained dynamic futures portfolios with stochastic basis," Annals of Finance, Springer, vol. 18(1), pages 1-33, March.

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