IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v63y2003i3p249-257.html
   My bibliography  Save this article

Conditional correlation analysis of order statistics from bivariate normal distribution with an application to evaluating inventory effects in futures market

Author

Listed:
  • Lien, Donald
  • Balakrishnan, N.

Abstract

In this paper, we consider the order statistics from a bivariate normal distribution and develop a conditional correlation analysis. We then apply these results to evaluate the presence of inventory effects in futures market. We also apply these results to analyze the data from a visual acuity experiment.

Suggested Citation

  • Lien, Donald & Balakrishnan, N., 2003. "Conditional correlation analysis of order statistics from bivariate normal distribution with an application to evaluating inventory effects in futures market," Statistics & Probability Letters, Elsevier, vol. 63(3), pages 249-257, July.
    • Handle: RePEc:eee:stapro:v:63:y:2003:i:3:p:249-257
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(03)00089-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Ederington, Louis H, 1979. "The Hedging Performance of the New Futures Markets," Journal of Finance, American Finance Association, vol. 34(1), pages 157-170, March.
    2. Kamara, Avraham & Siegel, Andrew F, 1987. "Optimal Hedging in Futures Markets with Multiple Delivery Specifications," Journal of Finance, American Finance Association, vol. 42(4), pages 1007-1021, 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. Lien, Donald & Tse, Yiu Kuen, 2006. "A survey on physical delivery versus cash settlement in futures contracts," International Review of Economics & Finance, Elsevier, vol. 15(1), pages 15-29.
    2. Navarro, Jorge & Balakrishnan, N., 2010. "Study of some measures of dependence between order statistics and systems," Journal of Multivariate Analysis, Elsevier, vol. 101(1), pages 52-67, January.

    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. Gurmeet Singh, 2017. "Estimating Optimal Hedge Ratio and Hedging Effectiveness in the NSE Index Futures," Jindal Journal of Business Research, , vol. 6(2), pages 108-131, December.
    2. Yousaf, Imran & Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2024. "Dynamic spillovers and connectedness between crude oil and green bond markets," Resources Policy, Elsevier, vol. 89(C).
    3. Wei, Yu & Wang, Yizhi & Vigne, Samuel A. & Ma, Zhenyu, 2023. "Alarming contagion effects: The dangerous ripple effect of extreme price spillovers across crude oil, carbon emission allowance, and agriculture futures markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    4. Suleyman Basak & Georgy Chabakauri, 2012. "Dynamic Hedging in Incomplete Markets: A Simple Solution," The Review of Financial Studies, Society for Financial Studies, vol. 25(6), pages 1845-1896.
    5. Mara Madaleno & Carlos Pinho, 2010. "Hedging Performance and Multiscale Relationships in the German Electricity Spot and Futures Markets," JRFM, MDPI, vol. 3(1), pages 1-37, December.
    6. Michaël Dewally & Luke Marriott, 2008. "Effective Basemetal Hedging: The Optimal Hedge Ratio and Hedging Horizon," JRFM, MDPI, vol. 1(1), pages 1-36, December.
    7. Morema, Kgotso & Bonga-Bonga, Lumengo, 2020. "The impact of oil and gold price fluctuations on the South African equity market: Volatility spillovers and financial policy implications," Resources Policy, Elsevier, vol. 68(C).
    8. Gianluca Stefani & Marco Tiberti, 2016. "Multiperiod optimal hedging ratios: methodological aspects and application to a wheat market," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(3), pages 503-531.
    9. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    10. Cagli, Efe Caglar, 2023. "The volatility spillover between battery metals and future mobility stocks: Evidence from the time-varying frequency connectedness approach," Resources Policy, Elsevier, vol. 86(PA).
    11. Andreas Renard Widarto & Harjum Muharam & Sugeng Wahyudi & Irene Rini Demi Pangestuti, 2022. "ASEAN-5 and Crypto Hedge Fund: Dynamic Portfolio Approach," SAGE Open, , vol. 12(2), pages 21582440221, April.
    12. Su, EnDer, 2013. "Stock index hedge using trend and volatility regime switch model considering hedging cost," MPRA Paper 49190, University Library of Munich, Germany.
    13. Billio, Monica & Casarin, Roberto & Osuntuyi, Anthony, 2018. "Markov switching GARCH models for Bayesian hedging on energy futures markets," Energy Economics, Elsevier, vol. 70(C), pages 545-562.
    14. Stavros Degiannakis & Christos Floros, 2010. "Hedge Ratios in South African Stock Index Futures," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(3), pages 285-304, December.
    15. Pennings, Joost M. E. & Heijman, Willem J. M., 1995. "Prospects for an electricity futures market A comment," Resources Policy, Elsevier, vol. 21(4), pages 283-284, December.
    16. Shanker, Latha, 2000. "An innovative analysis of taxes and corporate hedging," Journal of Multinational Financial Management, Elsevier, vol. 10(3-4), pages 237-255, December.
    17. repec:ipg:wpaper:2014-552 is not listed on IDEAS
    18. Andrea L. DeMaskey, 1997. "Single and Multiple Portfolio Cross-Hedging with Currency Futures," Multinational Finance Journal, Multinational Finance Journal, vol. 1(1), pages 23-46, March.
    19. Lence, Sergio H., 1996. "Relaxing The Assumptions Of Minimum-Variance Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(1), pages 1-17, July.
    20. Olson, Eric & Vivian, Andrew & Wohar, Mark E., 2019. "What is a better cross-hedge for energy: Equities or other commodities?," Global Finance Journal, Elsevier, vol. 42(C).
    21. Martínez, Beatriz & Torró, Hipòlit, 2015. "European natural gas seasonal effects on futures hedging," Energy Economics, Elsevier, vol. 50(C), pages 154-168.

    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:stapro:v:63:y:2003:i:3:p:249-257. 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/wps/find/journaldescription.cws_home/622892/description#description .

    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.