IDEAS home Printed from https://ideas.repec.org/p/hhb/aarbfi/2008-06.html
   My bibliography  Save this paper

Volatility and realized quadratic variation of differenced returns : A wavelet method approach

Author

Listed:
  • Høg, Esben

    (Department of Business Studies, Aarhus School of Business)

Abstract

This paper analyzes some asymptotic results for an alternative estimator of integrated volatility in a continuous-time diffusion process of high frequency data (used in asset pricing finance). The estimator, which is computationally efficient, is based on the quadratic variation of the second order log-price differences. This is contrary to the well known realized quadratic variation of intra daily returns (which is based on first order log-price differences). This latter is known as realized volatility. Analytically, the asymptotics of the proposed estimator is compared to the usual realized volatility estimators. Lastly, we provide some simulation experiments to illustrate the results.

Suggested Citation

  • Høg, Esben, 2008. "Volatility and realized quadratic variation of differenced returns : A wavelet method approach," Finance Research Group Working Papers F-2008-06, University of Aarhus, Aarhus School of Business, Department of Business Studies.
  • Handle: RePEc:hhb:aarbfi:2008-06
    as

    Download full text from publisher

    File URL: http://research.asb.dk/fbspretrieve/3418/F_2008_06.PDF
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David C. Porter & Carsten Tanggaard & Daniel G. Weaver & Wei Yu, 2008. "Dispersed Trading and the Prevention of Market Failure: the Case of the Copenhagen Stock Exchange," European Financial Management, European Financial Management Association, vol. 14(2), pages 243-267, March.
    2. Jan Bartholdy & Dennis Olson & Paula Peare, 2007. "Conducting Event Studies on a Small Stock Exchange," The European Journal of Finance, Taylor & Francis Journals, vol. 13(3), pages 227-252.
    3. Høg, Espen P. & Frederiksen, Per H., 2006. "The Fractional Ornstein-Uhlenbeck Process: Term Structure Theory and Application," Finance Research Group Working Papers F-2006-01, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    4. Christiansen, Charlotte, 2008. "Level-ARCH short rate models with regime switching: Bivariate modeling of US and European short rates," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 925-948, December.
    5. Charlotte Christiansen & Angelo Ranaldo, 2007. "Realized bond—stock correlation: Macroeconomic announcement effects," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(5), pages 439-469, May.
    6. Willemann, Søren, 2005. "GSE Funding Advantages and Mortgagor Benefits: Answers from Asset Pricing," Finance Research Group Working Papers F-2005-04, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    7. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Heiko Ebens, 2000. "The Distribution of Stock Return Volatility," NBER Working Papers 7933, National Bureau of Economic Research, Inc.
    8. Asger Lunde & Esben Hoeg, 2003. "Wavelet Estimation of Integrated Volatility," Computing in Economics and Finance 2003 274, Society for Computational Economics.
    9. Andrea Consiglio & Domenico De Giovanni, 2010. "Pricing the Option to Surrender in Incomplete Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(4), pages 935-957, December.
    10. Poulsen, Thomas, 2008. "Investment decisions with benefits of control," Finance Research Group Working Papers F-2008-02, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    11. Bartholdy, Jan & Mateus, Cesário, 2006. "Debt and Taxes: Evidence from bank-financed unlisted firms," Finance Research Group Working Papers F-2006-02, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    12. De Giovanni, Domenico, 2007. "Lapse Rate Modeling: A Rational Expectation Approach," Finance Research Group Working Papers F-2007-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    13. Barucci, Emilio & Reno, Roberto, 2002. "On measuring volatility of diffusion processes with high frequency data," Economics Letters, Elsevier, vol. 74(3), pages 371-378, February.
    14. Porter, David C. & Tanggaard, Carsten & Weaver, Daniel G. & Yu, Wei, 2006. "Dispersed Trading and the Prevention of Market Failure: The Case of the Copenhagen Stock Exchange," Finance Research Group Working Papers F-2006-97, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    15. Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June.
    16. Anand, Amber & Tanggaard, Carsten & Weaver, Daniel G., 2009. "Paying for Market Quality," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(6), pages 1427-1457, December.
    17. Poulsen, Thomas, 2008. "Private benefits in corporate control transactions," Finance Research Group Working Papers F-2008-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    18. Hull, John C & White, Alan D, 1987. "The Pricing of Options on Assets with Stochastic Volatilities," Journal of Finance, American Finance Association, vol. 42(2), pages 281-300, June.
    19. Kokholm, Thomas, 2008. "Pricing of Traffic Light Options and other Correlation Derivatives," Finance Research Group Working Papers F-2008-01, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    20. Charlotte Christiansen & Juanna Shröter Joensen & Jesper Rangvid, 2005. "Do More Economists Hold Stocks?," Economics Working Papers 2005-06, Department of Economics and Business Economics, Aarhus University.
    21. Rasmussen, Anne-Sofie Reng, 2006. "Improving the asset pricing ability of the Consumption-Capital Asset Pricing Model?," Finance Research Group Working Papers F-2006-04, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    22. Maria Elvira Mancino & Paul Malliavin, 2002. "Fourier series method for measurement of multivariate volatilities," Finance and Stochastics, Springer, vol. 6(1), pages 49-61.
    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. Peter Løchte Jørgensen & Domenico De Giovanni, 2010. "Time Charters with Purchase Options in Shipping: Valuation and Risk Management," Applied Mathematical Finance, Taylor & Francis Journals, vol. 17(5), pages 399-430.
    2. Nielsen, Morten Ørregaard & Frederiksen, Per, 2008. "Finite sample accuracy and choice of sampling frequency in integrated volatility estimation," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 265-286, March.
    3. Jorgensen, Peter Lochte, 2007. "Traffic light options," Journal of Banking & Finance, Elsevier, vol. 31(12), pages 3698-3719, December.
    4. Ole E. Barndorff-Nielsen & Neil Shephard, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," OFRC Working Papers Series 2005fe08, Oxford Financial Research Centre.
    5. Michael McAleer & Marcelo Medeiros, 2008. "Realized Volatility: A Review," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 10-45.
    6. Andrea Consiglio & Domenico De Giovanni, 2010. "Pricing the Option to Surrender in Incomplete Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(4), pages 935-957, December.
    7. De Giovanni, Domenico, 2007. "Lapse Rate Modeling: A Rational Expectation Approach," Finance Research Group Working Papers F-2007-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    8. Wang, Fangfang, 2014. "Optimal design of Fourier estimator in the presence of microstructure noise," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 708-722.
    9. Koopman, Siem Jan & Jungbacker, Borus & Hol, Eugenie, 2005. "Forecasting daily variability of the S&P 100 stock index using historical, realised and implied volatility measurements," Journal of Empirical Finance, Elsevier, vol. 12(3), pages 445-475, June.
    10. Renò, Roberto, 2008. "Nonparametric Estimation Of The Diffusion Coefficient Of Stochastic Volatility Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1174-1206, October.
    11. Bertrand B. Maillet & Jean-Philippe R. M�decin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".
    12. Mihaela Craioveanu & Eric Hillebrand, 2012. "Why It Is Ok To Use The Har-Rv(1,5,21) Model," Working Papers 1201, University of Central Missouri, Department of Economics & Finance, revised Aug 2012.
    13. Asai, Manabu & McAleer, Michael, 2015. "Leverage and feedback effects on multifactor Wishart stochastic volatility for option pricing," Journal of Econometrics, Elsevier, vol. 187(2), pages 436-446.
    14. Nour Meddahi, 2002. "A theoretical comparison between integrated and realized volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 479-508.
    15. Gatfaoui Hayette, 2004. "Idiosyncratic Risk, Systematic Risk and Stochastic Volatility: An Implementation of Merton’s Credit Risk Valuation," Finance 0404004, University Library of Munich, Germany.
    16. Meddahi, Nour & Renault, Eric, 2004. "Temporal aggregation of volatility models," Journal of Econometrics, Elsevier, vol. 119(2), pages 355-379, April.
    17. Masato Ubukata & Kosuke Oya, 2007. "Test of Unbiasedness of the Integrated Covariance Estimation in the Presence of Noise," Discussion Papers in Economics and Business 07-03, Osaka University, Graduate School of Economics.
    18. Emilio Barucci & Paul Malliavin & Maria Elvira Mancino & Roberto Renò & Anton Thalmaier, 2003. "The Price‐Volatility Feedback Rate: An Implementable Mathematical Indicator of Market Stability," Mathematical Finance, Wiley Blackwell, vol. 13(1), pages 17-35, January.
    19. Ole E. Barndorff-Nielsen & Svend Erik Graversen & Neil Shephard, 2003. "Power variation & stochastic volatility: a review and some new results," Economics Papers 2003-W19, Economics Group, Nuffield College, University of Oxford.
    20. Frankovic, Jozo & Liu, Bin & Suardi, Sandy, 2022. "On spillover effects between cryptocurrency-linked stocks and the cryptocurrency market: Evidence from Australia," Global Finance Journal, Elsevier, vol. 54(C).

    More about this item

    Keywords

    continuous-time methods; quadratic variation; realized volatility; second order quadratic variation;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhb:aarbfi:2008-06. 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: Helle Vinbaek Stenholt (email available below). General contact details of provider: https://edirc.repec.org/data/ifhhadk.html .

    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.