IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v168y2018icp151-154.html
   My bibliography  Save this article

Asset pricing factors and future economic growth

Author

Listed:
  • Lalwani, Vaibhav
  • Chakraborty, Madhumita

Abstract

We test if seven commonly used asset-pricing factors predict future growth in GDP and industrial production. There is minimal evidence that asset-pricing factors other than the market factor predict future economic growth. Predictive power of these factors reported in earlier literature seems to have attenuated.

Suggested Citation

  • Lalwani, Vaibhav & Chakraborty, Madhumita, 2018. "Asset pricing factors and future economic growth," Economics Letters, Elsevier, vol. 168(C), pages 151-154.
  • Handle: RePEc:eee:ecolet:v:168:y:2018:i:c:p:151-154
    DOI: 10.1016/j.econlet.2018.04.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016517651830168X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2018.04.031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. repec:bla:jfinan:v:53:y:1998:i:6:p:1975-1999 is not listed on IDEAS
    2. Lo, Andrew W & MacKinlay, A Craig, 1990. "Data-Snooping Biases in Tests of Financial Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 3(3), pages 431-467.
    3. Adam Zaremba, 2016. "Quality investing and the cross-section of country returns," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 33(2), pages 281-301, June.
    4. Fama, Eugene F. & French, Kenneth R., 2012. "Size, value, and momentum in international stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 457-472.
    5. Hodrick, Robert J. & Zhang, Xiaoyan, 2001. "Evaluating the specification errors of asset pricing models," Journal of Financial Economics, Elsevier, vol. 62(2), pages 327-376, November.
    6. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    7. R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
    8. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    9. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    10. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    11. Klaus Grobys, 2016. "Is the asset growth anomaly driven by macroeconomic states?," Applied Economics Letters, Taylor & Francis Journals, vol. 23(8), pages 576-579, May.
    12. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    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. José Clemente Jacinto Ferreira & Ana Paula Matias Gama & Luiz Paulo Fávero & Ricardo Goulart Serra & Patrícia Belfiore & Igor Pinheiro de Araújo Costa & Marcos dos Santos, 2022. "Economic Performance and Stock Market Integration in BRICS and G7 Countries: An Application with Quantile Panel Data and Random Coefficients Modeling," Mathematics, MDPI, vol. 10(21), pages 1-35, October.

    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. Lin, Qi, 2022. "Understanding idiosyncratic momentum in the Chinese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    2. Söhnke M. Bartram & Harald Lohre & Peter F. Pope & Ananthalakshmi Ranganathan, 2021. "Navigating the factor zoo around the world: an institutional investor perspective," Journal of Business Economics, Springer, vol. 91(5), pages 655-703, July.
    3. Köstlmeier, Siegfried, 2024. "Pricing and mispricing of accounting fundamentals: Global evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 71-87.
    4. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, June.
    5. Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2021. "Anomalies in the China A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    6. Zaremba, Adam & Szyszka, Adam & Karathanasopoulos, Andreas & Mikutowski, Mateusz, 2021. "Herding for profits: Market breadth and the cross-section of global equity returns," Economic Modelling, Elsevier, vol. 97(C), pages 348-364.
    7. Hollstein, Fabian, 2022. "The world of anomalies: Smaller than we think?," Journal of International Money and Finance, Elsevier, vol. 129(C).
    8. Huynh, Thanh D., 2017. "Conditional asset pricing in international equity markets," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 168-189.
    9. Long, Huaigang & Zaremba, Adam & Zhou, Wenyu & Bouri, Elie, 2022. "Macroeconomics matter: Leading economic indicators and the cross-section of global stock returns," Journal of Financial Markets, Elsevier, vol. 61(C).
    10. Wolfgang Drobetz & Tizian Otto, 2021. "Empirical asset pricing via machine learning: evidence from the European stock market," Journal of Asset Management, Palgrave Macmillan, vol. 22(7), pages 507-538, December.
    11. Peter S. Schmidt & Urs von Arx & Andreas Schrimpf & Alexander F. Wagner & Andreas Ziegler, 2019. "Common risk factors in international stock markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(3), pages 213-241, September.
    12. Christian Walkshäusl & Florian Weißofner & Ulrich Wessels, 2019. "Separating momentum from reversal in international stock markets," Journal of Asset Management, Palgrave Macmillan, vol. 20(2), pages 111-123, March.
    13. Walkshäusl, Christian, 2021. "Predicting stock returns from the pricing and mispricing of accounting fundamentals," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 253-260.
    14. Fabian T. Lutzenberger, 2015. "Multifactor Models and their Consistency with the ICAPM: Evidence from the European Stock Market," European Financial Management, European Financial Management Association, vol. 21(5), pages 1014-1052, November.
    15. Dahlquist, Magnus & Odegaard, Bernt Arne, 2018. "A Review of Norges Bank's Active Management of the Government Pension Fund Global," UiS Working Papers in Economics and Finance 2018/1, University of Stavanger.
    16. Maio, Paulo & Philip, Dennis, 2018. "Economic activity and momentum profits: Further evidence," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 466-482.
    17. Song, Jian & Balvers, Ronald J., 2022. "Seasonality and momentum across national equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    18. Samuel Xin Liang, 2019. "What drives stock returns in Japan?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(1), pages 39-69, March.
    19. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    20. 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.

    More about this item

    Keywords

    Asset pricing; Risk factors; Economic growth;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:eee:ecolet:v:168:y:2018:i:c:p:151-154. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.