IDEAS home Printed from https://ideas.repec.org/p/hhb/hjacfi/2011_001.html
   My bibliography  Save this paper

Estimating Mean-Standard Deviation Ratios of Financial Data

Author

Listed:
  • Holgersson, Thomas

    (Jönköping International Business School)

  • Karlsson, Peter

    (Jönköping International Business School)

  • Mansoor, Rashid

    (Jönköping International Business School)

Abstract

This article treats the problem of linking the relation between excess return and risk of financial assets when the returns follow a factor structure. The authors propose three different estimators and their consistencies are established in cases when the number of assets in the cross-section (n) and the number of observations over time (T) are of comparable size. An empirical investigation is conducted on the Stockholm stock exchange market where the mean-standard deviation ratio is calculated for small- mid- and large cap segments respectively.

Suggested Citation

  • Holgersson, Thomas & Karlsson, Peter & Mansoor, Rashid, 2011. "Estimating Mean-Standard Deviation Ratios of Financial Data," JIBS Working Papers 2011-1, Jönköping International Business School.
    • Handle: RePEc:hhb:hjacfi:2011_001
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Rafael Schmidt & Ulrich Stadtmüller, 2006. "Non‐parametric Estimation of Tail Dependence," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 33(2), pages 307-335, June.
    2. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    3. Roll, Richard & Ross, Stephen A, 1980. "An Empirical Investigation of the Arbitrage Pricing Theory," Journal of Finance, American Finance Association, vol. 35(5), pages 1073-1103, December.
    4. Carlos R. Azzoni, 2001. "Economic growth and regional income inequality in Brazil," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 35(1), pages 133-152.
    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. Warisa Thangjai & Sa-Aat Niwitpong, 2019. "Confidence Intervals for the Signal-to-Noise Ratio and Difference of Signal-to-Noise Ratios of Log-Normal Distributions," Stats, MDPI, vol. 2(1), pages 1-10, February.
    2. Lee Yoong Hon & Ruth Lim Sheau Yen, 2018. "At the Movies: Some Stylized Facts on Investment Returns and Consumption Patterns," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 17(2), pages 123-142, September.

    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. David Morelli, 2002. "The robustness of tests of structural change in equity returns using factor analysis," Applied Economics, Taylor & Francis Journals, vol. 34(2), pages 241-251.
    2. Sagarika Mishra & Harminder Singh, 2012. "Do macro-economic variables explain stock-market returns? Evidence using a semi-parametric approach," Journal of Asset Management, Palgrave Macmillan, vol. 13(2), pages 115-127, April.
    3. Cowan, Adrian M. & Joutz, Frederick L., 2006. "An unobserved component model of asset pricing across financial markets," International Review of Financial Analysis, Elsevier, vol. 15(1), pages 86-107.
    4. Gabriel Frahm, 0. "Arbitrage Pricing Theory In Ergodic Markets," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(05), pages 1-28.
    5. Moon K. Kim & Chunchi Wu, 1987. "Macro-Economic Factors And Stock Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 10(2), pages 87-98, June.
    6. Michael C. Ehrhardt, 1987. "Arbitrage Pricing Models: The Sufficient Number Of Factors And Equilibrium Conditions," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 10(2), pages 111-120, June.
    7. Alfred Mbairadjim Moussa & Jules Sadefo Kamdem, 2022. "A fuzzy multifactor asset pricing model," Annals of Operations Research, Springer, vol. 313(2), pages 1221-1241, June.
    8. Massimo Massa & William Goetzmann & K. Rouwenhorst, 2000. "Behavioral Factors in Mutual Fund Flows," Yale School of Management Working Papers ysm8, Yale School of Management, revised 01 Jan 2001.
    9. Nopphon Tangjitprom, 2012. "Macroeconomic Factors of Emerging Stock Market: The Evidence from Thailand," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 3(2), pages 105-114, April.
    10. Natalia Gallardo & Andrés Sagner, 2010. "Valorización por Arbitraje de Bonos y Acciones Chilenas Mediante el Método de Componentes Principales," Working Papers Central Bank of Chile 557, Central Bank of Chile.
    11. Geweke, John & Zhou, Guofu, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 557-587.
    12. Chamberlain, Gary & Rothschild, Michael, 1983. "Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets," Econometrica, Econometric Society, vol. 51(5), pages 1281-1304, September.
    13. Eltejaei , Ebrahim & Ghasemzadeh, Meysam, 2016. "The Impact of Official Publication of Information in Tehran Stock Exchange on Shares Prices: A GMM Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 11(2), pages 193-205, April.
    14. Ansari, Md Gyasuddin & Sensarma, Rudra, 2019. "US monetary policy, oil and gold prices: Which has a greater impact on BRICS stock markets?," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 130-151.
    15. Phoebe Koundouri & Nikolaos Kourogenis & Nikitas Pittis, 2016. "Statistical Modeling Of Stock Returns: Explanatory Or Descriptive? A Historical Survey With Some Methodological Reflections," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 149-164, February.
    16. Stefano D'Addona & Mattia Ciprian, 2007. "Time Varying Sensitivities On A Grid Architecture," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 307-329.
    17. Haim Levy & Ilan Guttman & Isabel Tkatch, 2001. "Regression, Correlation, and the Time Interval: Additive-Multiplicative Framework," Management Science, INFORMS, vol. 47(8), pages 1150-1159, August.
    18. Zhuo Chen & Gregory Connor & Robert A Korajczyk, 2018. "A Performance Comparison of Large-n Factor Estimators," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 8(1), pages 153-182.
    19. Merton, Robert, 1990. "Capital market theory and the pricing of financial securities," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 1, chapter 11, pages 497-581, Elsevier.
    20. Miranda Sarmento, J. & Renneboog, L.D.R., 2014. "Public-Private Partnerships : Risk Allocation and Value for Money," Discussion Paper 2014-017, Tilburg University, Tilburg Law and Economic Center.

    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:hhb:hjacfi:2011_001. 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: Susanne Hansson or Stefan Carlstein (email available below). General contact details of provider: https://edirc.repec.org/data/ihhhjse.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.