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Research Papers

Correlation estimation using components of Japanese candlesticks

Pages 1615-1630 | Received 10 Aug 2015, Accepted 18 Feb 2016, Published online: 22 Apr 2016

References

  • Bannouh, K., van Dijk, D. and Martens, M., Range-based covariance estimation using high-frequency data: The realized co-range. J. Financial Econom., 2009, 7(4), 341–372.
  • Becker, M., Friedmann, R., Klößner, S. and Sanddorf-Köhle, W., A Hausman test for Brownian motion. AStA---Adv. Stat. Anal., 2007, 91(1), 3–21.
  • Borodin A.N. and Salminen P., Handbook of Brownian motion---Facts and formulae. In Probability and its Applications, 2nd ed. 2002 (Birkhäuser: Basel).
  • Brandt, M.W. and Diebold, F.X., A no-arbitrage approach to range-based estimation of return covariances and correlations. J. Bus., 2006, 79(1), 61–74.
  • Brunetti C. and Lildholdt M.P., Range-based Covariance Estimation: The Co-range, 2008 (Johns Hopkins University: Washington, DC ).
  • Cramér, H., Mathematical Methods of Statistics, 1971 (Princeton University Press: Princeton, NJ).
  • Engle, R.F., Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional hetereroskedasticity models. J. Bus. Econ. Stat., 2002, 20(3), 339–350.
  • Garman, M.B. and Klass, M.J., On the estimation of security price volatilities from historical data. J. Bus., 1980, 53(1), 67–78.
  • Klößner S., On intraday time-reversibility of return processes. Paper presented at Statistics under one Umbrella, Bielefeld, 27--30 March, 2007.
  • Klößner, S., A high--low-based omnibus test for symmetry, the Lévy property, and other hypotheses on intraday returns. Finance Stochastics, 2010, 14(1), 1–12.
  • Lehmann, E.L., Elements of Large-sample Theory, 1999 (Springer-Verlag, New York Inc: New York).
  • Madan, D.B. and Seneta, E., Simulation of estimates using the empirical characteristic function. Int. Stat. Rev., 1987, 55(2), 153–161.
  • Neudecker, H. and Wesselman, A.M., The asymptotic matrix of the sample correlation matrix. Linear Algebra Appl., 1990, 127, 589–599.
  • Olkin, I. and Pratt, J.W., Unbiased estimation of certain correlation coefficients. Ann. Math. Stat., 1958, 29, 201–211.
  • Parkinson, M., The extreme value method for estimating the variance of the rate of return. J. Bus., 1980, 53(1), 61–65.
  • Press, J.S., A compound events model for security prices. J. Bus., 1967, 40(3), 317–335.
  • Rogers, L.C.G. and Satchell, S.E., Estimating variance from high, low and closing prices. Ann. Appl. Probab., 1991, 1(4), 504–512.
  • Rogers, L.C.G. and Shepp, L.A., The correlation of the maxima of correlated Brownian motions. J. Appl. Probab., 2006, 43, 880–883.
  • Rogers, L.C.G. and Zhou, F., Estimating correlation from high, low, opening and closing prices. Ann. Appl. Probab., 2008, 18(2), 813–823.
  • Yang, D. and Zhang, Q., Drift-independent volatility estimation based on high, low, open, and close prices. J. Bus., 2000, 73(3), 477–491.

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