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A robust neighborhood truncation approach to estimation of integrated quarticity

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  • Torben G. Andersen
  • Dobrislav Dobrev
  • Ernst Schaumburg

Abstract

We provide a first in-depth look at robust estimation of integrated quarticity (IQ) based on high frequency data. IQ is the key ingredient enabling inference about volatility and the presence of jumps in financial time series and is thus of considerable interest in applications. We document the significant empirical challenges for IQ estimation posed by commonly encountered data imperfections and set forth three complementary approaches for improving IQ based inference. First, we show that many common deviations from the jump diffusive null can be dealt with by a novel filtering scheme that generalizes truncation of individual returns to truncation of arbitrary functionals on return blocks. Second, we propose a new family of efficient robust neighborhood truncation (RNT) estimators for integrated power variation based on order statistics of a set of unbiased local power variation estimators on a block of returns. Third, we find that ratio-based inference, originally proposed in this context by Barndorff-Nielsen and Shephard (2002), has desirable robustness properties in the face of regularly occurring data imperfections and thus is well suited for empirical applications. We confirm that the proposed filtering scheme and the RNT estimators perform well in our extensive simulation designs and in an application to the individual Dow Jones 30 stocks.

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  • Torben G. Andersen & Dobrislav Dobrev & Ernst Schaumburg, 2013. "A robust neighborhood truncation approach to estimation of integrated quarticity," International Finance Discussion Papers 1078, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgif:1078
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    1. AndrewK. Rose & MarkM. Spiegel, 2010. "Cross-Country Causes And Consequences Of The 2008 Crisis: International Linkages And American Exposure," Pacific Economic Review, Wiley Blackwell, vol. 15(3), pages 340-363, August.
    2. Glenn D. Rudebusch & Eric T. Swanson & Tao Wu, 2006. "The Bond Yield "Conundrum" from a Macro-Finance Perspective," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 24(S1), pages 83-109, December.
    3. Emmanuel Farhi & Ricardo Caballero & Pierre-Olivier Gourinchas, "undated". "Financial Crash, Commodity Prices and Global Imbalances," Working Paper 20933, Harvard University OpenScholar.
    4. Sa, Filipa & Towbin, Pascal & wieladek, tomasz, 2011. "Low interest rates and housing booms: the role of capital inflows, monetary policy and financial innovation," Bank of England working papers 411, Bank of England.
    5. Enrique G. Mendoza, 2007. "Financial Integration, Financial Deepness and Global Imbalance," 2007 Meeting Papers 746, Society for Economic Dynamics.
    6. Michael P. Dooley & David Folkerts-Landau & Peter M. Garber, 2005. "An essay on the revived Bretton Woods system," Proceedings, Federal Reserve Bank of San Francisco.
    7. Viral V. Acharya & Philipp Schnabl, 2010. "Do Global Banks Spread Global Imbalances? The Case of Asset-Backed Commercial Paper During the Financial Crisis of 2007-09," NBER Working Papers 16079, National Bureau of Economic Research, Inc.
    8. Shang-Jin Wei & Jiandong Ju, 2006. "A Solution to Two Paradoxes of International Capital Flows," IMF Working Papers 06/178, International Monetary Fund.
    9. Ashcraft, A. & Goldsmith-Pinkham, P. & Vickery, J., 2010. "MBS Ratings and the Mortgage Credit Boom," Discussion Paper 2010-89S, Tilburg University, Center for Economic Research.
    10. Carlos O. Arteta & Mark S. Carey & Ricardo Correa & Jason Kotter, 2008. "Which banks sponsored ABCP vehicles and why?," Proceedings 1072, Federal Reserve Bank of Chicago.
    11. James D. Hamilton & Jing Cynthia Wu, 2012. "The Effectiveness of Alternative Monetary Policy Tools in a Zero Lower Bound Environment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 3-46, February.
    12. Ricardo J. Caballero & Emmanuel Farhi & Pierre-Olivier Gourinchas, 2008. "An Equilibrium Model of "Global Imbalances" and Low Interest Rates," American Economic Review, American Economic Association, vol. 98(1), pages 358-393, March.
    13. Edward L. Glaeser & Joshua D. Gottlieb & Joseph Gyourko, 2012. "Can Cheap Credit Explain the Housing Boom?," NBER Chapters,in: Housing and the Financial Crisis, pages 301-359 National Bureau of Economic Research, Inc.
    14. Joshua Coval & Jakub Jurek & Erik Stafford, 2009. "The Economics of Structured Finance," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 3-25, Winter.
    15. Kristopher Gerardi & Andreas Lehnert & Shane M. Sherlund & Paul Willen, 2008. "Making Sense of the Subprime Crisis," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 39(2 (Fall)), pages 69-159.
    16. Blanchard, Olivier & Giavazzi, Francesco & Sá, Filipa, 2005. "The US Current Account and the Dollar," CEPR Discussion Papers 4888, C.E.P.R. Discussion Papers.
    17. Joseph Gruber & Steven Kamin, 2009. "Do Differences in Financial Development Explain the Global Pattern of Current Account Imbalances?," Review of International Economics, Wiley Blackwell, vol. 17(4), pages 667-688, September.
    18. Gruber, Joseph W. & Kamin, Steven B., 2007. "Explaining the global pattern of current account imbalances," Journal of International Money and Finance, Elsevier, vol. 26(4), pages 500-522, June.
    19. John B. Taylor, 2009. "The Financial Crisis and the Policy Responses: An Empirical Analysis of What Went Wrong," NBER Working Papers 14631, National Bureau of Economic Research, Inc.
    20. Ricardo Nunes & Davide Debortoli, 2007. "Political Disagreement, Lack of Commitment and the Level of Debt," 2007 Meeting Papers 725, Society for Economic Dynamics.
    21. Ricardo J. Caballero, 2010. "The "Other" Imbalance and the Financial Crisis," NBER Working Papers 15636, National Bureau of Economic Research, Inc.
    22. Jane K. Dokko & Brian M. Doyle & Michael T. Kiley & Jinill Kim & Shane M. Sherlund & Jae W. Sim & Skander J. van den Heuvel, 2009. "Monetary policy and the housing bubble," Finance and Economics Discussion Series 2009-49, Board of Governors of the Federal Reserve System (U.S.).
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    Cited by:

    1. Pierre Bajgrowicz & Olivier Scaillet & Adrien Treccani, 2016. "Jumps in High-Frequency Data: Spurious Detections, Dynamics, and News," Management Science, INFORMS, pages 2198-2217.
    2. Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2016. "Exploiting the errors: A simple approach for improved volatility forecasting," Journal of Econometrics, Elsevier, vol. 192(1), pages 1-18.
    3. Simon Clinet & Yoann Potiron, 2017. "Efficient asymptotic variance reduction when estimating volatility in high frequency data," Papers 1701.01185, arXiv.org, revised Jul 2017.
    4. Milan Ficura & Jiri Witzany, 2016. "Estimating Stochastic Volatility and Jumps Using High-Frequency Data and Bayesian Methods," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 278-301, August.
    5. Simon Clinet & Yoann Potiron, 2017. "Estimation for high-frequency data under parametric market microstructure noise," Papers 1712.01479, arXiv.org.
    6. repec:gam:jecnmx:v:5:y:2017:i:4:p:51-:d:118613 is not listed on IDEAS
    7. Mykland, Per A. & Zhang, Lan, 2016. "Between data cleaning and inference: Pre-averaging and robust estimators of the efficient price," Journal of Econometrics, Elsevier, vol. 194(2), pages 242-262.

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