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Stochastic volatility model and technical analysis of stock price

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Abstract

In the stock market, some popular technical analysis indicators (e.g. Bollinger Bands, RSI, ROC, ...) are widely used by traders. They use the daily (hourly, weekly, ...) stock prices as samples of certain statistics and use the observed relative frequency to show the validity of those well-known indicators. However, those samples are not independent, so the classical sample survey theory does not apply. In earlier research, we discussed the law of large numbers related to those observations when one assumes Black-Scholes’ stock price model. In this paper, we extend the above results to the more popular stochastic volatility model.

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References

  1. Liu, W., Huang, X., Zheng, W.: Black-Scholes model and Bollinger bands. Phys. A, 371, 565–571 (2006)

    Article  MathSciNet  Google Scholar 

  2. Zhu, W.: Statistic Analysis on Technical Indicators of Stock (in Chinese). Master thesis, Department of Statistics, ECNU, Shanghai, China, 2006

    Google Scholar 

  3. Lo, A. W., Mamaysky, H., Wang, J.: Foundation of technical analysis: computational algorithms, statistical inference, and empirical implementation. J. Finance, 55, 1705–1770 (2000)

    Article  Google Scholar 

  4. Genon-Catalot, V., Jeantheau, T., Larédo, C.: Stochastic volatility model as hidden Markov models and statistical applications. Bernoulli, 6(6), 1051–1079 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  5. Brown, L. D., Wang, Y., Zhao, L.: Statistical equivalence at suitable frequencies of GARCH and stochastic volatility models with the corresponding diffusion model. Statist. Sinica, 13, 993–1013 (2003)

    MathSciNet  MATH  Google Scholar 

  6. Fouque, J. P., Papanicolaou, G., Sircar, R.: Derivatives in Financial Markets with Stochastic Volatility, Cambridge University Press, Cambridge, 2000

    MATH  Google Scholar 

  7. Fouque, J. P., Sircar, R., Solna, K.: Stochastic volatility effects on defaultable bonds. Appl. Math. Finance, 13(3), 215–244 (2006)

    Article  MATH  Google Scholar 

  8. Wang, Y.: Asymptotic nonequivalence of GARCH models and diffusions. Ann. Statist., 30, 754–783 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  9. Durrett, R.: Probability: Theory and Examples, Wadsworth & Brooks/Cole Advanced Books & Software, Pacific Grove, California, 1991

    MATH  Google Scholar 

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Correspondence to Wei Liu.

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Partially supported by National Natural Science Foundation of China (Grant No. 10971068), National Basic Research Program of China (973 Program) (Grant No. 2007CB814904) and Key Subject Construction Project of Shanghai Education Commission (Grant No. J51601)

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Liu, W., Zheng, W.A. Stochastic volatility model and technical analysis of stock price. Acta. Math. Sin.-English Ser. 27, 1283–1296 (2011). https://doi.org/10.1007/s10114-011-9468-1

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  • DOI: https://doi.org/10.1007/s10114-011-9468-1

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