IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v47y2022ipbs1544612322002008.html
   My bibliography  Save this article

Measuring the dynamic lead–lag relationship between the cash market and stock index futures market

Author

Listed:
  • Ma, Chaoqun
  • Xiao, Ru
  • Mi, Xianhua

Abstract

This paper develops three new nonparametric and nonlinear measurements for the dynamic lead–lag relationship between stock index futures and the cash index based on the dynamic time warping algorithm: one point measurement (e.g, for one minute) and two interval measurements (e.g, for one day). The simulation experiment shows the satisfactory performance of our measurements. The empirical evidence suggests that the distribution of the lead–lag times of the CSI 300 index futures relative to the cash index is right skewed with high kurtosis, and the index futures usually lead the cash index by 0–5 min but occasionally lag the cash index.

Suggested Citation

  • Ma, Chaoqun & Xiao, Ru & Mi, Xianhua, 2022. "Measuring the dynamic lead–lag relationship between the cash market and stock index futures market," Finance Research Letters, Elsevier, vol. 47(PB).
    • Handle: RePEc:eee:finlet:v:47:y:2022:i:pb:s1544612322002008
    DOI: 10.1016/j.frl.2022.102940
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612322002008
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2022.102940?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. Manolis G. Kavussanos & Ilias D. Visvikis & Panayotis D. Alexakis, 2008. "The Lead‐Lag Relationship Between Cash and Stock Index Futures in a New Market," European Financial Management, European Financial Management Association, vol. 14(5), pages 1007-1025, November.
    2. Donald Lien & Y. K. Tse & Xibin Zhang, 2003. "Structural change and lead-lag relationship between the Nikkei spot index and futures price: a genetic programming approach," Quantitative Finance, Taylor & Francis Journals, vol. 3(2), pages 136-144.
    3. Zhong, Maosen & Darrat, Ali F. & Otero, Rafael, 2004. "Price discovery and volatility spillovers in index futures markets: Some evidence from Mexico," Journal of Banking & Finance, Elsevier, vol. 28(12), pages 3037-3054, December.
    4. Francis In & Sangbae Kim, 2006. "The Hedge Ratio and the Empirical Relationship between the Stock and Futures Markets: A New Approach Using Wavelet Analysis," The Journal of Business, University of Chicago Press, vol. 79(2), pages 799-820, March.
    5. Chan, Kalok, 1992. "A Further Analysis of the Lead-Lag Relationship between the Cash Market and Stock Index Futures Market," The Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 123-152.
    6. Jiang, Tao & Bao, Si & Li, Long, 2019. "The linear and nonlinear lead–lag relationship among three SSE 50 Index markets: The index futures, 50ETF spot and options markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 878-893.
    7. Kawaller, Ira G & Koch, Paul D & Koch, Timothy W, 1987. "The Temporal Price Relationship between S&P 500 Futures and the S and P 500 Index," Journal of Finance, American Finance Association, vol. 42(5), pages 1309-1329, December.
    Full references (including those not matched with items on IDEAS)

    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. Pradhan, Rudra P. & Hall, John H. & du Toit, Elda, 2021. "The lead–lag relationship between spot and futures prices: Empirical evidence from the Indian commodity market," Resources Policy, Elsevier, vol. 70(C).
    2. Yi-Tsung Lee & Wei-Shao Wu & Yun Yang, 2013. "Informed Futures Trading and Price Discovery: Evidence from Taiwan Futures and Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(3), pages 219-242, September.
    3. Ren, Fei & Ji, Shen-Dan & Cai, Mei-Ling & Li, Sai-Ping & Jiang, Xiong-Fei, 2019. "Dynamic lead–lag relationship between stock indices and their derivatives: A comparative study between Chinese mainland, Hong Kong and US stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 709-723.
    4. Sanjay Sehgal & Mala Dutt, 2016. "Domestic and international information linkages between NSE Nifty spot and futures markets: an empirical study for India," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(3), pages 239-258, September.
    5. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    6. Jing Hao & Xiong Xiong & Feng He & Feng Ma, 2019. "Price Discovery in the Chinese Stock Index Futures Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(13), pages 2982-2996, October.
    7. Fassas, Athanasios P. & Papadamou, Stephanos & Koulis, Alexandros, 2020. "Price discovery in bitcoin futures," Research in International Business and Finance, Elsevier, vol. 52(C).
    8. Huo, Rui & Ahmed, Abdullahi D., 2018. "Relationships between Chinese stock market and its index futures market: Evaluating the impact of QFII scheme," Research in International Business and Finance, Elsevier, vol. 44(C), pages 135-152.
    9. Alemany, Nuria & Aragó, Vicent & Salvador, Enrique, 2020. "Lead-lag relationship between spot and futures stock indexes: Intraday data and regime-switching models," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 269-280.
    10. D Brookfield & A Azizan, 2006. "Contagion and the Role of Market Development: the Case of the Malaysian Futures Market during the East Asian Crisis of 1997," Economic Issues Journal Articles, Economic Issues, vol. 11(2), pages 1-18, September.
    11. Yang Hou & Steven Li, 2013. "Price Discovery in Chinese Stock Index Futures Market: New Evidence Based on Intraday Data," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(1), pages 49-70, March.
    12. Shuxin Guo, 2021. "Do futures lead the index under stress? Evidence from the 2015 Chinese market turmoil and its aftermath," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 91-110, January.
    13. Antonakakis, Nikolaos & Kizys, Renatas & Floros, Christos, 2014. "Dynamic Spillover Effects in Futures Markets," MPRA Paper 53876, University Library of Munich, Germany.
    14. Tswei, Keshin & Lai, Jing-yi, 2009. "Information contents misjudged: Digressive convergence to equilibrium in cointegrated prices," Review of Financial Economics, Elsevier, vol. 18(4), pages 183-189, October.
    15. Guntur Anjana Raju & Sanjeeta Shirodkar, 2020. "The Lead Lag Relationship between Spot and Futures Markets in the Energy Sector: Empirical Evidence from Indian Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 409-414.
    16. Qiang Liu & Gaoxiu Qiao, 2017. "The evolving nature of intraday price discovery in the Chinese CSI 300 index futures market," Empirical Economics, Springer, vol. 52(4), pages 1569-1585, June.
    17. Antonakakis, Nikolaos & Floros, Christos & Kizys, Renatas, 2016. "Dynamic spillover effects in futures markets: UK and US evidence," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 406-418.
    18. Mohammed Arshad Khan & Md. Mobashshir Hussain & Asif Pervez & Mohd Atif & Rohit Bansal & Hamad A. Alhumoudi & Miaochao Chen, 2022. "Intraday Price Discovery between Spot and Futures Markets of NIFTY 50: An Empirical Study during the Times of COVID-19," Journal of Mathematics, Hindawi, vol. 2022, pages 1-9, August.
    19. P. Sakthivel & Krishna Reddy Chittedi & Daniel Sakyi, 2017. "Price Discovery and Volatility Transmission in Currency Spot and Futures Markets in India: An Empirical Analysis," Global Business Review, International Management Institute, vol. 20(4), pages 931-945, August.
    20. Sarveshwar Kumar Inani, 2017. "Price discovery in Indian stock index futures market: new evidence based on intraday data," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 14(1), pages 23-43.

    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:finlet:v:47:y:2022:i:pb:s1544612322002008. 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/frl .

    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.