IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/23418.html
   My bibliography  Save this paper

Autoregressive multifactor APT model for U.S. Equity Markets

Author

Listed:
  • Malhotra, Karan

Abstract

Arbitrage Pricing Theory is a one period asset pricing model used to predict equity returns based on a multivariate linear regression. We choose three sets of factors – Market specific, firm specific, and an autoregressive return term to explain returns on twenty U.S. stocks, using monthly data over the period 2000-2005. Our findings indicate that, apart from the CAPM beta factor, at least five other factors are significant in determining time series and cross sectional variations in returns. The times series regression establishes factor loadings and the cross sectional regression gives the risk premiums associated with these factors.

Suggested Citation

  • Malhotra, Karan, 2010. "Autoregressive multifactor APT model for U.S. Equity Markets," MPRA Paper 23418, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:23418
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/23418/1/MPRA_paper_23418.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shanken, Jay, 1987. "Multivariate proxies and asset pricing relations : Living with the Roll critique," Journal of Financial Economics, Elsevier, vol. 18(1), pages 91-110, March.
    2. Schwert, G William, 1981. "The Adjustment of Stock Prices to Information about Inflation," Journal of Finance, American Finance Association, vol. 36(1), pages 15-29, March.
    3. Ashoka Mody & Mark P. Taylor, 2003. "The High-Yield Spread as a Predictor of Real Economic Activity: Evidence of a Financial Accelerator for the United States," IMF Staff Papers, Palgrave Macmillan, vol. 50(3), pages 1-3.
    4. Nicolaas, Patricia Groenewold Fraser, 1997. "Share Prices and Macroeconomic Factors," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(9‐10), pages 1367-1383, October.
    5. Jae-Kwang Hwang, 1999. "The relationship between stock prices and exchange rates: Evidence from Canada," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(3), pages 397-397, August.
    6. Gur Huberman & Zhenyu Wang, 2005. "Arbitrage pricing theory," Staff Reports 216, Federal Reserve Bank of New York.
    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. Blanka Francová, 2017. "Valuation of Government Bonds: the Exchange Rate Is an Important Aspect," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(6), pages 1911-1916.
    2. Carrasco Gutierrez, Carlos Enrique & Peixoto Messias, Iasmin Emillyn, 2022. "Macroeconomic factors and value and growth strategies: evidence from Brazil," MPRA Paper 114875, University Library of Munich, Germany.
    3. Blanka Francová, 2018. "An Analysis of the Impact of Selected Factors on the Bond Market," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(6), pages 1451-1458.

    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. Marc Poitras, 2004. "The Impact of Macroeconomic Announcements on Stock Prices: In Search of State Dependence," Southern Economic Journal, John Wiley & Sons, vol. 70(3), pages 549-565, January.
    2. Christoffersen, Peter & Ghysels, Eric & Swanson, Norman R., 2002. "Let's get "real" about using economic data," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 343-360, August.
    3. Hansen, Lars Peter & Heaton, John & Luttmer, Erzo G J, 1995. "Econometric Evaluation of Asset Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 237-274.
    4. Sellin, Peter, 1998. "Monetary Policy and the Stock Market: Theory and Empirical Evidence," Working Paper Series 72, Sveriges Riksbank (Central Bank of Sweden).
    5. Dufour, Jean-Marie & García, René & Taamouti, Abderrahim, 2008. "Measuring causality between volatility and returns with high-frequency data," UC3M Working papers. Economics we084422, Universidad Carlos III de Madrid. Departamento de Economía.
    6. Roman Mestre, 2021. "A wavelet approach of investing behaviors and their effects on risk exposures," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    7. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
    8. 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.
    9. Zaremba, Adam, 2015. "Inflation, Business Cycles, and Commodity Investing in Financialized Markets," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 6(1), pages 1-18, January.
    10. ATM Adnan, 2018. "Home vs. Cross-Border Takeovers: Is There Any Difference in Investor Perception?," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2018(2), pages 59-84.
    11. repec:rim:rimwps:34-07 is not listed on IDEAS
    12. Ramakrishnan, Ram T S & Thakor, Anjan V, 1984. "The Valuation of Assets under Moral Hazard," Journal of Finance, American Finance Association, vol. 39(1), pages 229-238, March.
    13. Rangel, José Gonzalo, 2011. "Macroeconomic news, announcements, and stock market jump intensity dynamics," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1263-1276, May.
    14. Marshall, Andrew & Maulana, Tubagus & Tang, Leilei, 2009. "The estimation and determinants of emerging market country risk and the dynamic conditional correlation GARCH model," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 250-259, December.
    15. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2022. "Scheduled macroeconomic news announcements and intraday market sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    16. Lizarazo, Sandra Valentina, 2013. "Default risk and risk averse international investors," Journal of International Economics, Elsevier, vol. 89(2), pages 317-330.
    17. Simmet Anastasia & Pohlmeier Winfried, 2020. "The CAPM with Measurement Error: ‘There’s life in the old dog yet!’," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(4), pages 417-453, August.
    18. Joaquim Andrade & Vladimir Teles, 2006. "An empirical model of the Brazilian country risk -- an extension of the beta country risk model," Applied Economics, Taylor & Francis Journals, vol. 38(11), pages 1271-1278.
    19. Apergis, Nicholas & Eleftheriou, Sophia, 2002. "Interest rates, inflation, and stock prices: the case of the Athens Stock Exchange," Journal of Policy Modeling, Elsevier, vol. 24(3), pages 231-236, June.
    20. Michael Joyce & Vicky Read, 2002. "Asset price reactions to RPI announcements," Applied Financial Economics, Taylor & Francis Journals, vol. 12(4), pages 253-270.
    21. Javid, Attiya Yasmin & Ahmad, Eatzaz, 2008. "Testing multifactor capital asset pricing model in case of Pakistani market," MPRA Paper 37341, University Library of Munich, Germany.

    More about this item

    Keywords

    Equity Pricing; APT; Arbitrage pricing theory; Multifactor model; Security; Pricing; CAPM;
    All these keywords.

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:23418. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.