IDEAS home Printed from https://ideas.repec.org/a/bla/jfnres/v15y1992i4p369-387.html
   My bibliography  Save this article

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

Author

Listed:
  • Charles J. Corrado
  • Suk-Hun Lee

Abstract

No abstract is available for this item.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1475-6803.1992.tb00119.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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?," 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. Berkowitz, Stephen A & Logue, Dennis E & Noser, Eugene A, Jr, 1988. " The Total Cost of Transactions on the NYSE," Journal of Finance, American Finance Association, vol. 43(1), pages 97-112, March.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Huiwen Wang & Wenyang Huang & Shanshan Wang, 2021. "Forecasting open-high-low-close data contained in candlestick chart," Papers 2104.00581, arXiv.org.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Robert Pereira, 1999. "Forecasting Ability but No Profitability: an Empirical Evaluation of Genetic Algorithm-Optimized Technical Trading Rules," Working Papers 1999.06, School of Economics, La Trobe University.
    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. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    2. Kenneth A. Froot & André F. Perold, 1995. "New trading practices and short‐run market efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(7), pages 731-765, October.
    3. Michael Wong, 1995. "Market reactions to several popular trend-chasing technical signals," Applied Economics Letters, Taylor & Francis Journals, vol. 2(11), pages 449-456.
    4. Shynkevich, Andrei, 2012. "Performance of technical analysis in growth and small cap segments of the US equity market," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 193-208.
    5. Yu, Chih-Hsien & Wu, Chunchi, 2001. "Economic sources of asymmetric cross-correlation among stock returns," International Review of Economics & Finance, Elsevier, vol. 10(1), pages 19-40.
    6. Lee, Suk Hun & Sung, Hyun Mo & Urrutia, Jorge L., 1996. "The behavior of secondary market prices of LDC syndicated loans," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 537-554, April.
    7. Ming-Shiun Pan, 2010. "Autocorrelation, return horizons, and momentum in stock returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 34(3), pages 284-300, July.
    8. Seok Young Hong & Oliver Linton & Hui Jun Zhang, 2014. "Multivariate variance ratio statistics," CeMMAP working papers 29/14, Institute for Fiscal Studies.
    9. Michael McAleer & John Suen & Wing Keung Wong, 2016. "Profiteering from the Dot-Com Bubble, Subprime Crisis and Asian Financial Crisis," The Japanese Economic Review, Japanese Economic Association, vol. 67(3), pages 257-279, September.
    10. Wang, Yuming & Ma, Jinpeng, 2014. "Excess volatility and the cross-section of stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 1-16.
    11. Flögel, Volker & Schlag, Christian & Zunft, Claudia, 2022. "Momentum-Managed Equity Factors," Journal of Banking & Finance, Elsevier, vol. 137(C).
    12. LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
    13. Camilleri, Silvio John & Green, Christopher J., 2014. "Stock market predictability: Non-synchronous trading or inefficient markets? Evidence from the National Stock Exchange of India," MPRA Paper 95302, University Library of Munich, Germany.
    14. Ranko Jelic & Richard Briston & Chris Mallin, 1999. "Gambling Banks and Firm Financing in Transition Economies," Multinational Finance Journal, Multinational Finance Journal, vol. 3(4), pages 253-282, December.
    15. Friesen, Geoffrey C. & Weller, Paul A. & Dunham, Lee M., 2009. "Price trends and patterns in technical analysis: A theoretical and empirical examination," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1089-1100, June.
    16. Shynkevich, Andrei, 2013. "Time-series momentum as an intra- and inter-industry effect: Implications for market efficiency," Journal of Economics and Business, Elsevier, vol. 69(C), pages 64-85.
    17. Mengxi He & Yudong Wang & Yaojie Zhang, 2023. "The predictability of iron ore futures prices: A product‐material lead–lag effect," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1289-1304, September.
    18. Guanqing Liu, 2019. "Technical Trading Behaviour: Evidence from Chinese Rebar Futures Market," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 669-704, August.
    19. Seok Young Hong & Oliver Linton & Hui Jun Zhang, 2014. "Multivariate Variance Ratio Statistics," Cambridge Working Papers in Economics 1459, Faculty of Economics, University of Cambridge.
    20. Hsu, Po-Hsuan & Hsu, Yu-Chin & Kuan, Chung-Ming, 2010. "Testing the predictive ability of technical analysis using a new stepwise test without data snooping bias," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 471-484, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jfnres:v:15:y:1992:i:4:p:369-387. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.