IDEAS home Printed from https://ideas.repec.org/a/wly/jfutmk/v38y2018i10p1227-1245.html
   My bibliography  Save this article

Policy impact on volatility dynamics in commodity futures markets: Evidence from China

Author

Listed:
  • Yongmin Zhang
  • Shusheng Ding
  • Eric Scheffel

Abstract

Chinese financial markets play an ever more pertinent role in the global economic context and are therefore increasingly relevant for stabilizing the economy. In this paper, we scrutinize the impact of a series of new policies on stock index futures trading, which have recently been enacted by the Chinese government. We pay particular attention to the way in which these have influenced commodity market volatilities and how their impact on liquidity has affected volatility more generally. Our results reveal a novel interaction between the new government policy and market forces which drive volatilities in commodity markets.

Suggested Citation

  • Yongmin Zhang & Shusheng Ding & Eric Scheffel, 2018. "Policy impact on volatility dynamics in commodity futures markets: Evidence from China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1227-1245, October.
    • Handle: RePEc:wly:jfutmk:v:38:y:2018:i:10:p:1227-1245
    DOI: 10.1002/fut.21905
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/fut.21905
    Download Restriction: no
    File URL: https://libkey.io/10.1002/fut.21905?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
    ---><---

    References listed on IDEAS

    as
    1. Robin K. Chou & George H. K. Wang, 2006. "Transaction tax and market quality of the Taiwan stock index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(12), pages 1195-1216, December.
    2. repec:dau:papers:123456789/14980 is not listed on IDEAS
    3. H. Holly Wang & Bingfan Ke, 2005. "Efficiency tests of agricultural commodity futures markets in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(2), pages 125-141, June.
    4. Creti, Anna & Joëts, Marc & Mignon, Valérie, 2013. "On the links between stock and commodity markets' volatility," Energy Economics, Elsevier, vol. 37(C), pages 16-28.
    5. Thomas J. Sargent, 1969. "Commodity Price Expectations and the Interest Rate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 83(1), pages 127-140.
    6. Feng, Shih-Ping & Hung, Mao-Wei & Wang, Yaw-Huei, 2014. "Option pricing with stochastic liquidity risk: Theory and evidence," Journal of Financial Markets, Elsevier, vol. 18(C), pages 77-95.
    7. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    8. Jeffrey A. Frankel, 2008. "The Effect of Monetary Policy on Real Commodity Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 291-333, National Bureau of Economic Research, Inc.
    9. Tagkalakis, Athanasios, 2011. "Fiscal policy and financial market movements," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 231-251, January.
    10. Cody, Brian J & Mills, Leonard O, 1991. "The Role of Commodity Prices in Formulating Monetary Policy," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 358-365, May.
    11. Bergman, U. Michael & Hutchison, Michael, 2015. "Economic stabilization in the post-crisis world: Are fiscal rules the answer?," Journal of International Money and Finance, Elsevier, vol. 52(C), pages 82-101.
    12. Awokuse, Titus O. & Yang, Jian, 2003. "The informational role of commodity prices in formulating monetary policy: a reexamination," Economics Letters, Elsevier, vol. 79(2), pages 219-224, May.
    13. Koski, Jennifer Lynch & Michaely, Roni, 2000. "Prices, Liquidity, and the Information Content of Trades," Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 659-696.
    14. repec:wyi:journl:002169 is not listed on IDEAS
    15. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    16. Shane A. Corwin & Paul Schultz, 2012. "A Simple Way to Estimate Bid‐Ask Spreads from Daily High and Low Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 719-760, April.
    17. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    18. Qian Han & Jufang Liang, 2017. "Index Futures Trading Restrictions and Spot Market Quality: Evidence from the Recent Chinese Stock Market Crash," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(4), pages 411-428, April.
    19. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
    20. Chan, Justin S.P. & Jain, Ravi & Xia, Yihong, 2008. "Market segmentation, liquidity spillover, and closed-end country fund discounts," Journal of Financial Markets, Elsevier, vol. 11(4), pages 377-399, November.
    21. Jeffrey Williams & Anne Peck & Albert Park & Scott Rozelle, 1998. "The emergence of a futures market: Mungbeans on the China Zhengzhou Commodity Exchange," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(4), pages 427-448, June.
    22. Ke Tang & Haoxiang Zhu, 2016. "Commodities as Collateral," Review of Financial Studies, Society for Financial Studies, vol. 29(8), pages 2110-2160.
    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. Zhang, Yongmin & Sun, Yiru, 2023. "Did U.S. and Chinese investors respond differently to the exogenous shocks from COVID-19 and the war in Ukraine?," International Review of Financial Analysis, Elsevier, vol. 88(C).
    2. Zhang, Yongmin & Ding, Shusheng & Scheffel, Eric M., 2019. "A key determinant of commodity price Co-movement: The role of daily market liquidity," Economic Modelling, Elsevier, vol. 81(C), pages 170-180.
    3. Kathrin Hellmuth & Christian Klingenberg, 2022. "Computing Black Scholes with Uncertain Volatility-A Machine Learning Approach," Papers 2202.07378, arXiv.org.
    4. Gaoxiu Qiao & Yangli Cao & Feng Ma & Weiping Li, 2023. "Liquidity and realized covariance forecasting: a hybrid method with model uncertainty," Empirical Economics, Springer, vol. 64(1), pages 437-463, January.
    5. Mert Demir & Terrence F. Martell & Jun Wang, 2019. "The trilogy of China cotton markets: The lead–lag relationship among spot, forward, and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(4), pages 522-534, April.
    6. Yongmin Zhang & Shusheng Ding & Haili Shi, 2022. "The impact of COVID‐19 on the interdependence between US and Chinese oil futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(11), pages 2041-2052, November.
    7. Owusu Junior, Peterson & Tiwari, Aviral Kumar & Tweneboah, George & Asafo-Adjei, Emmanuel, 2022. "GAS and GARCH based value-at-risk modeling of precious metals," Resources Policy, Elsevier, vol. 75(C).
    8. Zhang, Yongmin & Ding, Shusheng, 2021. "Liquidity effects on price and return co-movements in commodity futures markets," International Review of Financial Analysis, Elsevier, vol. 76(C).
    9. Ding, Shusheng & Zhang, Yongmin, 2020. "Cross market predictions for commodity prices," Economic Modelling, Elsevier, vol. 91(C), pages 455-462.
    10. Yongmin Zhang & Shusheng Ding & Meryem Duygun, 2019. "Derivatives pricing with liquidity risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(11), pages 1471-1485, November.

    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. Ding, Shusheng & Zhang, Yongmin, 2020. "Cross market predictions for commodity prices," Economic Modelling, Elsevier, vol. 91(C), pages 455-462.
    2. Lauter, Tobias & Prokopczuk, Marcel, 2022. "Measuring commodity market quality," Journal of Banking & Finance, Elsevier, vol. 145(C).
    3. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2015. "Frontier market transaction costs and diversification," Journal of Financial Markets, Elsevier, vol. 24(C), pages 1-24.
    4. Karstanje, Dennis & Sojli, Elvira & Tham, Wing Wah & van der Wel, Michel, 2013. "Economic valuation of liquidity timing," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5073-5087.
    5. Kanne, Stefan & Korn, Olaf & Uhrig-Homburg, Marliese, 2023. "Stock illiquidity and option returns," Journal of Financial Markets, Elsevier, vol. 63(C).
    6. Hagströmer, Björn, 2021. "Bias in the effective bid-ask spread," Journal of Financial Economics, Elsevier, vol. 142(1), pages 314-337.
    7. Ciner, Cetin, 2011. "Commodity prices and inflation: Testing in the frequency domain," Research in International Business and Finance, Elsevier, vol. 25(3), pages 229-237, September.
    8. Kim, Soon-Ho & Lee, Kuan-Hui, 2014. "Pricing of liquidity risks: Evidence from multiple liquidity measures," Journal of Empirical Finance, Elsevier, vol. 25(C), pages 112-133.
    9. Filip Zikes, 2017. "Measuring Transaction Costs in the Absence of Timestamps," Finance and Economics Discussion Series 2017-045, Board of Governors of the Federal Reserve System (U.S.).
    10. Ayad Assoil & Ndéné Ka & Jules Sadefo-Kamdem, 2021. "Analysis of the dynamic relationship between liquidity proxies and returns on the French CAC 40 index," SN Business & Economics, Springer, vol. 1(10), pages 1-23, October.
    11. Apergis, Nicholas & Artikis, Panagiotis G. & Kyriazis, Dimitrios, 2015. "Does stock market liquidity explain real economic activity? New evidence from two large European stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 42-64.
    12. Barbara Bedowska-Sojka, 2017. "Porownanie miesiecznych miar plynnosci akcji spolek notowanych na GPW wyznaczanych na podstawie danych niskiej czestotliwosci," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 15(66), pages 178-192.
    13. Capelle-Blancard, Gunther & Havrylchyk, Olena, 2016. "The impact of the French securities transaction tax on market liquidity and volatility," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 166-178.
    14. Abudy, Menachem (Meni) & Shust, Efrat, 2023. "Does market design contribute to market stability? Indications from a corporate bond exchange during the COVID-19 crisis," Journal of Economics and Business, Elsevier, vol. 123(C).
    15. Kanne, Stefan & Korn, Olaf & Uhrig-Homburg, Marliese, 2016. "Stock Illiquidity, option prices, and option returns," CFR Working Papers 16-08, University of Cologne, Centre for Financial Research (CFR).
    16. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2018. "Do liquidity proxies measure liquidity accurately in ETFs?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 94-111.
    17. Nina Karnaukh & Angelo Ranaldo & Paul Söderlind, 2015. "Understanding FX Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 28(11), pages 3073-3108.
    18. Chung, Kee H. & Zhang, Hao, 2014. "A simple approximation of intraday spreads using daily data," Journal of Financial Markets, Elsevier, vol. 17(C), pages 94-120.
    19. de Jong, F.C.J.M. & Driessen, J.J.A.G., 2015. "Can large long-term investors capture illiquidity premiums," Other publications TiSEM 9c92b978-0099-44d3-9aab-8, Tilburg University, School of Economics and Management.
    20. Xiaohong Chen & Oliver Linton & Stefan Schneeberger & Yanping Yi, 2016. "Simple Nonparametric Estimators for the Bid-Ask Spread in the Roll Model," Cowles Foundation Discussion Papers 2033, Cowles Foundation for Research in Economics, Yale University.

    More about this item

    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:wly:jfutmk:v:38:y:2018:i:10:p:1227-1245. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0270-7314/ .

    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.