IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v12y2003i1p35-47.html
   My bibliography  Save this article

Using high, low, open, and closing prices to estimate the effects of cash settlement on futures prices

Author

Listed:
  • Chan, Leo
  • Lien, Donald

Abstract

No abstract is available for this item.

Suggested Citation

  • Chan, Leo & Lien, Donald, 2003. "Using high, low, open, and closing prices to estimate the effects of cash settlement on futures prices," International Review of Financial Analysis, Elsevier, vol. 12(1), pages 35-47.
    • Handle: RePEc:eee:finana:v:12:y:2003:i:1:p:35-47
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057-5219(02)00125-4
    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. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    2. A. Ronald Gallant & Chien-Te Hsu & George Tauchen, 1999. "Using Daily Range Data To Calibrate Volatility Diffusions And Extract The Forward Integrated Variance," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 617-631, November.
    3. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 1999. "Range-Based Estimation of Stochastic Volatility Models or Exchange Rate Dynamics are More Interesting Than You Think," Center for Financial Institutions Working Papers 00-28, Wharton School Center for Financial Institutions, University of Pennsylvania.
    4. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 361-393.
    5. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    6. Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 2002. "Bayesian Analysis of Stochastic Volatility Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 69-87, January.
    7. Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 1994. "Bayesian Analysis of Stochastic Volatility Models: Comments: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 413-417, October.
    8. Yang, Dennis & Zhang, Qiang, 2000. "Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices," The Journal of Business, University of Chicago Press, vol. 73(3), pages 477-491, July.
    9. Hwang, Soosung & Satchell, Stephen E., 2000. "Market risk and the concept of fundamental volatility: Measuring volatility across asset and derivative markets and testing for the impact of derivatives markets on financial markets," Journal of Banking & Finance, Elsevier, vol. 24(5), pages 759-785, May.
    10. Kenyon, David E. & Bainbridge, Bruce & Ernst, Robin, 1991. "Impact Of Cash Settlement On Feeder Cattle Basis," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(1), pages 1-13, July.
    11. Canina, Linda & Figlewski, Stephen, 1993. "The Informational Content of Implied Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 659-681.
    12. Chan, Leo & Lien, Donald, 2002. "Measuring the impacts of cash settlement: A stochastic volatility approach," International Review of Economics & Finance, Elsevier, vol. 11(3), pages 251-263.
    13. Lien, Donald & Tse, Yiu Kuen, 2002. "Physical delivery versus cash settlement: an empirical study on the feeder cattle contract," Journal of Empirical Finance, Elsevier, vol. 9(4), pages 361-371, November.
    14. Hwang, S. & Satchell, S. E., 1997. "Market Risk and the Concept of Fundamental Volatility," Accounting and Finance Discussion Papers 97-af37, Faculty of Economics, University of Cambridge.
    15. Andrew Harvey & Esther Ruiz & Neil Shephard, 1994. "Multivariate Stochastic Variance Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(2), pages 247-264.
    16. Elam, Emmett W., 1988. "Estimated Hedging Risk With Cash Settlement Feeder Cattle Futures," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(1), pages 1-8, July.
    17. Andersen, Torben G, 1996. "Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
    18. Ditsch, Mark W. & Leuthold, Raymond M., 1996. "Evaluating The Hedging Potential Of The Lean Hog Futures Contract," ACE OFOR Reports 14769, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    19. Ruiz, Esther, 1994. "Quasi-maximum likelihood estimation of stochastic volatility models," Journal of Econometrics, Elsevier, vol. 63(1), pages 289-306, July.
    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. Georgia Zournatzidou & Christos Floros, 2023. "Hurst Exponent Analysis: Evidence from Volatility Indices and the Volatility of Volatility Indices," JRFM, MDPI, vol. 16(5), pages 1-15, May.
    2. Alexander Saichev & Didier Sornette & Vladimir Filimonov & Fulvio Corsi, 2009. "Homogeneous Volatility Bridge Estimators," Papers 0912.1617, arXiv.org.
    3. Frank, Julieta & Gomez, Miguel I. & Kunda, Eugene L. & Garcia, Philip, 2008. "Cash Settlement of Lean Hog Futures Contracts Reexamined," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37611, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    4. 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.
    5. Elie Bouri & Matteo Foglia & Sayar Karmakar & Rangan Gupta, 2024. "Return-Volatility Nexus in the Digital Asset Class: A Dynamic Multilayer Connectedness Analysis," Working Papers 202432, University of Pretoria, Department of Economics.
    6. Cristin Buescu & Michael Taksar & Fatoumata J. Kon'e, 2011. "An application of the method of moments to volatility estimation using daily high, low, opening and closing prices," Papers 1112.4534, arXiv.org.
    7. Farzan Adil & Danish Ahmed Siddiqui, 2019. "Exploring the Effect of Physical Delivery V/S Cash Settled Futures Contracts with the Prospective of Obligatory Delivery in Islamic Contract of Sales," International Journal of Social and Administrative Sciences, Asian Economic and Social Society, vol. 4(2), pages 155-177, June.
    8. Timothy Krause & Sina Ehsani & Donald Lien, 2014. "Exchange-traded funds, liquidity and volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 24(24), pages 1617-1630, December.
    9. A. Saichev & D. Sornette & V. Filimonov & F. Corsi, 2014. "Bridge homogeneous volatility estimators," Quantitative Finance, Taylor & Francis Journals, vol. 14(1), pages 87-99, January.
    10. D’Amato, Valeria & Levantesi, Susanna & Piscopo, Gabriella, 2022. "Deep learning in predicting cryptocurrency volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    11. Zitis, Pavlos I. & Contoyiannis, Yiannis & Potirakis, Stelios M., 2022. "Critical dynamics related to a recent Bitcoin crash," International Review of Financial Analysis, Elsevier, vol. 84(C).
    12. Sree Rama Murthy Y, 2020. "Cash Settled Commodity Option Contracts as an Alternative to Minimum Support Price: A Mechanism to Alleviate Farmer Distress," Information Management and Business Review, AMH International, vol. 11(4), pages 50-53.
    13. Lien, Donald & Yang, Li, 2004. "Alternative settlement methods and Australian individual share futures contracts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(5), pages 473-490, December.
    14. Fang, Ming & Chang, Chiu-Lan & Zhang, Qi, 2023. "Impacts of trading restrictions on price volatilities and speculative activities: Evidence from CSI 300 futures," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 184-204.

    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. Chan, Leo & Lien, Donald, 2002. "Measuring the impacts of cash settlement: A stochastic volatility approach," International Review of Economics & Finance, Elsevier, vol. 11(3), pages 251-263.
    2. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2002. "Range‐Based Estimation of Stochastic Volatility Models," Journal of Finance, American Finance Association, vol. 57(3), pages 1047-1091, June.
    3. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2001. "High- and Low-Frequency Exchange Rate Volatility Dynamics: Range-Based Estimation of Stochastic Volatility Models," NBER Working Papers 8162, National Bureau of Economic Research, Inc.
    4. 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.
    5. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005. "Volatility forecasting," CFS Working Paper Series 2005/08, Center for Financial Studies (CFS).
    6. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    7. Carmen Broto & Esther Ruiz, 2004. "Estimation methods for stochastic volatility models: a survey," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 613-649, December.
    8. Roman Liesenfeld & Robert C. Jung, 2000. "Stochastic volatility models: conditional normality versus heavy-tailed distributions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(2), pages 137-160.
    9. Liesenfeld, Roman, 2001. "A generalized bivariate mixture model for stock price volatility and trading volume," Journal of Econometrics, Elsevier, vol. 104(1), pages 141-178, August.
    10. Richard D. F. Harris & Murat Mazibas, 2022. "A component Markov regime‐switching autoregressive conditional range model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 650-683, April.
    11. Enrique Ter Horst & Abel Rodriguez & Henryk Gzyl & German Molina, 2012. "Stochastic volatility models including open, close, high and low prices," Quantitative Finance, Taylor & Francis Journals, vol. 12(2), pages 199-212, May.
    12. Tu, Anthony H. & Wang, Ming-Chun, 2007. "The innovations of e-mini contracts and futures price volatility components: The empirical investigation of S&P 500 stock index futures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(2), pages 198-211, April.
    13. Aknouche, Abdelhakim, 2013. "Periodic autoregressive stochastic volatility," MPRA Paper 69571, University Library of Munich, Germany, revised 2015.
    14. Eymen Errais & Dhikra Bahri, 2016. "Is Standard Deviation a Good Measure of Volatility? the Case of African Markets with Price Limits," Annals of Economics and Finance, Society for AEF, vol. 17(1), pages 145-165, May.
    15. Yu, Jun & Yang, Zhenlin & Zhang, Xibin, 2006. "A class of nonlinear stochastic volatility models and its implications for pricing currency options," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2218-2231, December.
    16. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 1999. "Range-Based Estimation of Stochastic Volatility Models or Exchange Rate Dynamics are More Interesting Than You Think," Center for Financial Institutions Working Papers 00-28, Wharton School Center for Financial Institutions, University of Pennsylvania.
    17. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    18. Ghysels, E. & Harvey, A. & Renault, E., 1995. "Stochastic Volatility," Papers 95.400, Toulouse - GREMAQ.
    19. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    20. Yueh-Neng Lin & Ken Hung, 2008. "Is Volatility Priced?," Annals of Economics and Finance, Society for AEF, vol. 9(1), pages 39-75, May.

    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:eee:finana:v:12:y:2003:i:1:p:35-47. 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/inca/620166 .

    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.