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A Hausman test for Brownian motion. (2007). Sanddorf-Kohle, Walter ; Kloner, Stefan ; Friedmann, Ralph ; Becker, Martin.
In: AStA Advances in Statistical Analysis.
RePEc:spr:alstar:v:91:y:2007:i:1:p:3-21.

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  1. Correlation estimation using components of Japanese candlesticks. (2016). Popov, V.
    In: Quantitative Finance.
    RePEc:taf:quantf:v:16:y:2016:i:10:p:1615-1630.

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  2. Modeling and measuring intraday overreaction of stock prices. (2012). Klner, Stefan ; Friedmann, Ralph ; Becker, Martin.
    In: Journal of Banking & Finance.
    RePEc:eee:jbfina:v:36:y:2012:i:4:p:1152-1163.

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  3. A high-low-based omnibus test for symmetry, the Lévy property, and other hypotheses on intraday returns. (2010). Kloner, Stefan .
    In: Finance and Stochastics.
    RePEc:spr:finsto:v:14:y:2010:i:1:p:1-12.

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  4. Exact simulation of final, minimal and maximal values of Brownian motion and jump-diffusions with applications to option pricing. (2010). Becker, Martin.
    In: Computational Management Science.
    RePEc:spr:comgts:v:7:y:2010:i:1:p:1-17.

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References

References cited by this document

  1. Alizadeh, S., Brandt, M.W., Diebold, F.X. (2002) Range-based estimation of stochastic volatility models. Journal of Finance 57, 1047–1092.

  2. Becker, M., Friedmann, R., Klößner, S., Sanddorf-Köhle, W. (2006) Highs, lows, and overreaction in intraday price movements. Paper presented at the Far Eastern Meeting of the Econometric Society, Beijing.
    Paper not yet in RePEc: Add citation now
  3. Billingsley, P. (1968) Convergence of probability measures. John Wiley &Sons, New York.
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  4. Brandt, M.W., Diebold, F.X. (2006) A no-arbitrage approach to range-based estimation of return covariances and correlations. Journal of Business 79, 61–74.

  5. Gourieroux, C., Jasiak, J. (2001) Financial Econometrics: Problems, Models, and Methods. Princeton University Press, Princeton NJ.
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  6. Johnson, N.L., Kotz, S., Balakrishnan, N. (1995) Continuous Univariate Distributions, Vol. 2, 2nd ed. John Wiley &Sons, New York.
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  7. Lildholdt, P.M. (2002) Estimation of GARCH models based on open, close, high, and low prices. University of Aarhus Center for Analytical Finance. Working paper 128.
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  8. Mihai, S.M. (2005) Verteilungsmodelle und Risikomaße für Minimalrenditen. Shaker Verlag, Aachen.
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  9. Patnaik, P.B. (1949) The non-central χ2 and F-distributions and their applications. Biometrika 36, 202–232.
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  10. Rogers, L.C.G., Satchell, S.E., Yoon, Y. (1994) Estimating the volatility of stock prices: a comparison of methods that use high and low prices. Applied Financial Economics 4, 241–247.
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  11. Seshadri, V. (1988) Exponential models, Brownian motion and independence. Canadian Journal of Statistics 16, 209–221.
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  12. Yang, D., Zhang, Q. (2000) Drift-independent volatility estimation based on high, low, open, and close prices. Journal of Business 73, 477–491.

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  6. A Hausman test for Brownian motion. (2007). Sanddorf-Kohle, Walter ; Kloner, Stefan ; Friedmann, Ralph ; Becker, Martin.
    In: AStA Advances in Statistical Analysis.
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