IDEAS home Printed from https://ideas.repec.org/a/jfr/afr111/v7y2018i3p39.html
   My bibliography  Save this article

Evaluation of the Predictive Validity of the CapitalCubeâ„¢ Market Navigation Platform

Author

Listed:
  • Edward J. Lusk

Abstract

IntroductionThis is the fourth research report where various aspects of the CapitalCubeâ„¢ Market Navigation Platform [CCMNP] of AnalytixInsightâ„¢ have been examined.Previous ResultsIn our previous three studies, we have tested many of the CCMNP-variables as expressed through the S&P500; we have rejected the Nulls of their inter-and intra-group association in favor of the likelihood that the variables that constitute the CCMNP are not produced by random generating processes. This suggests that the CCMNP is capable of creating market relevant information that may inform the investment decision.Current Study The previous results beg the question that is the focus of this report- Given the Non-Random character of the various CCMNP panel variables, does this panel of information enable the identification of a particular stock that will, in the near future, experience a turning-point?Results-We find no evidence that the CCMNP aids in detecting turning-points for the S&P500 Panel of data tested. Various caveats to this study are detailed in the summary section of this research report. Finally, we offer that the methodology used in investigating the CCMNP is a simple, transparent, and useful model for evaluating the acuity of a MNP in detecting turning-points.

Suggested Citation

  • Edward J. Lusk, 2018. "Evaluation of the Predictive Validity of the CapitalCubeâ„¢ Market Navigation Platform," Accounting and Finance Research, Sciedu Press, vol. 7(3), pages 1-39, August.
  • Handle: RePEc:jfr:afr111:v:7:y:2018:i:3:p:39
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/afr/article/download/13534/8369
    Download Restriction: no

    File URL: https://www.sciedupress.com/journal/index.php/afr/article/view/13534
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nyberg, Henri, 2013. "Predicting bear and bull stock markets with dynamic binary time series models," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3351-3363.
    2. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    Full references (including those not matched with items on IDEAS)

    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. Baetje, Fabian & Menkhoff, Lukas, 2013. "Macro determinants of U.S. stock market risk premia in bull and bear markets," Hannover Economic Papers (HEP) dp-520, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Heidari , Hassan & Refah-Kahriz, Arash & Hashemi Berenjabadi, Nayyer, 2018. "Dynamic Relationship between Macroeconomic Variables and Stock Return Volatility in Tehran Stock Exchange: Multivariate MS ARMA GARCH Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 5(2), pages 223-250, August.
    3. Barbara Fidanza & Ottorino Morresi, 2021. "Size and Value Anomalies in European Bank Stocks," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(12), pages 227-227, July.
    4. Constantinos Antoniou & John A. Doukas & Avanidhar Subrahmanyam, 2016. "Investor Sentiment, Beta, and the Cost of Equity Capital," Management Science, INFORMS, vol. 62(2), pages 347-367, February.
    5. Radosław Kurach, 2013. "Does Beta Explain Global Equity Market Volatility – Some Empirical Evidence," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    6. Chang, Chia-Lin & Hsu, Hui-Kuang, 2013. "Modelling Volatility Size Effects for Firm Performance: The Impact of Chinese Tourists to Taiwan," MPRA Paper 45691, University Library of Munich, Germany.
    7. Siddiqi, Hammad, 2015. "Anchoring and Adjustment Heuristic: A Unified Explanation for Equity Puzzles," MPRA Paper 68729, University Library of Munich, Germany.
    8. Abugri, Benjamin A. & Dutta, Sandip, 2014. "Are we overestimating REIT idiosyncratic risk? Analysis of pricing effects and persistence," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 249-259.
    9. Grossman, Richard, 2017. "Stocks for the Long Run: New Monthly Indices of British Equities, 1869-1929," CEPR Discussion Papers 12121, C.E.P.R. Discussion Papers.
    10. Dimitrios D. Thomakos & Michail S. Koubouros, 2011. "The Role of Realised Volatility in the Athens Stock Exchange," Multinational Finance Journal, Multinational Finance Journal, vol. 15(1-2), pages 87-124, March - J.
    11. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    12. John H. Cochrane, 1999. "New facts in finance," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 23(Q III), pages 36-58.
    13. Chongsoo An & John J. Cheh & Il-woon Kim, 2017. "Do Value Stocks Outperform Growth Stocks in the U.S. Stock Market?," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(2), pages 1-7.
    14. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    15. Tim Brailsford & Clive Gaunt & Michael A O’Brien, 2012. "Size and book-to-market factors in Australia," Australian Journal of Management, Australian School of Business, vol. 37(2), pages 261-281, August.
    16. Seguin, P. J. & Smoller, M. M., 1997. "Share price and mortality: An empirical evaluation of newly listed Nasdaq stocks," Journal of Financial Economics, Elsevier, vol. 45(3), pages 333-363, September.
    17. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    18. Horowitz, Joel L. & Loughran, Tim & Savin, N. E., 2000. "The disappearing size effect," Research in Economics, Elsevier, vol. 54(1), pages 83-100, March.
    19. Azzi, Sarah & Bird, Ron, 2005. "Prophets during boom and gloom downunder," Global Finance Journal, Elsevier, vol. 15(3), pages 337-367, February.
    20. Chendi Ni & Yuying Li & Peter A. Forsyth, 2023. "Neural Network Approach to Portfolio Optimization with Leverage Constraints:a Case Study on High Inflation Investment," Papers 2304.05297, arXiv.org, revised May 2023.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:jfr:afr111:v:7:y:2018:i:3:p:39. 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: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.