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Filter Rule Tests Of The Economic Significance Of Serial Dependencies In Daily Stock Returns

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  • Charles J. Corrado
  • Suk-Hun Lee

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  • Charles J. Corrado & Suk-Hun Lee, 1992. "Filter Rule Tests Of The Economic Significance Of Serial Dependencies In Daily Stock Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 15(4), pages 369-387, December.
    • Handle: RePEc:bla:jfnres:v:15:y:1992:i:4:p:369-387
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    File URL: http://hdl.handle.net/10.1111/j.1475-6803.1992.tb00119.x
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    References listed on IDEAS

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    1. Sweeney, Richard J, 1986. "Beating the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 41(1), pages 163-182, March.
    2. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    3. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    4. Atchison, Michael D & Butler, Kirt C & Simonds, Richard R, 1987. "Nonsynchronous Security Trading and Market Index Autocorrelation," Journal of Finance, American Finance Association, vol. 42(1), pages 111-118, March.
    5. repec:bla:jfinan:v:43:y:1988:i:1:p:97-112 is not listed on IDEAS
    6. Sweeney, Richard J., 1988. "Some New Filter Rule Tests: Methods and Results," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 285-300, September.
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    Citations

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    Cited by:

    1. Gunasekarage, Abeyratna & Power, David M., 2001. "The profitability of moving average trading rules in South Asian stock markets," Emerging Markets Review, Elsevier, vol. 2(1), pages 17-33, March.
    2. Michael Cooper & David H. Downs, 1999. "Real Estate Securities and a Filter-based, Short-term Trading Strategy," Journal of Real Estate Research, American Real Estate Society, vol. 18(2), pages 313-334.
    3. Ben Marshall & Martin Young & Rochester Cahan, 2008. "Are candlestick technical trading strategies profitable in the Japanese equity market?," Review of Quantitative Finance and Accounting, Springer, vol. 31(2), pages 191-207, August.
    4. Pereira, Robert, 1999. "Forecasting Ability But No Profitability: An Empirical Evaluation of Genetic Algorithm-optimised Technical Trading Rules," MPRA Paper 9055, University Library of Munich, Germany.
    5. Kim, Minho & Szakmary, Andrew C. & Mathur, Ike, 2000. "Price transmission dynamics between ADRs and their underlying foreign securities," Journal of Banking & Finance, Elsevier, vol. 24(8), pages 1359-1382, August.
    6. Ana-Maria Fuertes & Elena Kalotychou & Natasa Todorovic, 2015. "Daily volume, intraday and overnight returns for volatility prediction: profitability or accuracy?," Review of Quantitative Finance and Accounting, Springer, vol. 45(2), pages 251-278, August.
    7. Marshall, Ben R. & Cahan, Rochester H. & Cahan, Jared M., 2008. "Does intraday technical analysis in the U.S. equity market have value?," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 199-210, March.
    8. Cheol‐Ho Park & Scott H. Irwin, 2007. "What Do We Know About The Profitability Of Technical Analysis?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 786-826, September.
    9. Žmuk Berislav, 2016. "Capabilities of Statistical Residual-Based Control Charts in Short- and Long-Term Stock Trading," Naše gospodarstvo/Our economy, Sciendo, vol. 62(1), pages 12-26, March.
    10. Hung-Gay Fung & Wai K. Leung & Gary A. Patterson, 1999. "Do Trading Rules Based upon Winners and Losers Work Across Markets? Evidence from the Pacific Basin and U.S. Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 3(1), pages 41-70, March.
    11. Emmanuel Acar & Stephen Satchell, 1997. "A theoretical analysis of trading rules: an application to the moving average case with Markovian returns," Applied Mathematical Finance, Taylor & Francis Journals, vol. 4(3), pages 165-180.
    12. Liu, Zhenya & Zhan, Yaosong, 2022. "Investor behavior and filter rule revisiting," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    13. Huiwen Wang & Wenyang Huang & Shanshan Wang, 2021. "Forecasting open-high-low-close data contained in candlestick chart," Papers 2104.00581, arXiv.org.

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