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What factors affect the Oslo Stock Exchange?

Author

Listed:
  • Randi Næs

    (Norges Bank (Central Bank of Norway))

  • Johannes A. Skjeltorp

    (Norges Bank (Central Bank of Norway))

  • Bernt Arne Ødegaard

    (University of Stavanger and Norges Bank)

Abstract

This paper analyzes return patterns and determinants at the Oslo Stock Exchange (OSE) in the period 1980-2006. We find that a three-factor model containing the market, a size factor and a liquidity factor provides a reasonable fit for the cross-section of Norwegian stock returns. As expected, oil prices significantly affect cash flows of most industry sectors at the OSE. Oil is, however, not a priced risk factor in the Norwegian stock market. As the case in many other countries, we find that macroeconomic variables affect stock prices, but since we find only weak evidence of these variables being priced in the market, the most reasonable channel for these effects is through company cash flows.

Suggested Citation

  • Randi Næs & Johannes A. Skjeltorp & Bernt Arne Ødegaard, 2009. "What factors affect the Oslo Stock Exchange?," Working Paper 2009/24, Norges Bank.
  • Handle: RePEc:bno:worpap:2009_24
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    File URL: https://www.norges-bank.no/en/news-events/news-publications/Papers/Working-Papers/2009/WP-200924/
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    References listed on IDEAS

    as
    1. La Porta, Rafael, et al, 1997. "Good News for Value Stocks: Further Evidence on Market Efficiency," Journal of Finance, American Finance Association, vol. 52(2), pages 859-874, June.
    2. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    3. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    4. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    5. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    6. 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..
    7. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    8. Sadka, Ronnie, 2006. "Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk," Journal of Financial Economics, Elsevier, vol. 80(2), pages 309-349, May.
    9. John Y. Campbell & Tuomo Vuolteenaho, 2004. "Bad Beta, Good Beta," American Economic Review, American Economic Association, vol. 94(5), pages 1249-1275, December.
    10. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    11. Liu, Weimin, 2006. "A liquidity-augmented capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 82(3), pages 631-671, December.
    12. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    13. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    14. John Lintner, 1965. "Security Prices, Risk, And Maximal Gains From Diversification," Journal of Finance, American Finance Association, vol. 20(4), pages 587-615, December.
    15. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    16. Randi Næs & Johannes A. Skjeltorp & Bernt Arne Ødegaard, 2007. "Hvilke faktorer driver kursutviklingen på Oslo Børs?," Working Paper 2007/08, Norges Bank.
    17. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    18. repec:bla:jfinan:v:53:y:1998:i:1:p:267-284 is not listed on IDEAS
    19. 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.
    20. Grinblatt, Mark & Han, Bing, 2005. "Prospect theory, mental accounting, and momentum," Journal of Financial Economics, Elsevier, vol. 78(2), pages 311-339, November.
    21. Vassalou, Maria, 2003. "News related to future GDP growth as a risk factor in equity returns," Journal of Financial Economics, Elsevier, vol. 68(1), pages 47-73, April.
    22. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    23. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    24. Fama, Eugene F, 1990. "Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
    25. 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.
    26. Liew, Jimmy & Vassalou, Maria, 2000. "Can book-to-market, size and momentum be risk factors that predict economic growth?," Journal of Financial Economics, Elsevier, vol. 57(2), pages 221-245, August.
    27. 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.
    28. Fama, Eugene F & French, Kenneth R, 1995. "Size and Book-to-Market Factors in Earnings and Returns," Journal of Finance, American Finance Association, vol. 50(1), pages 131-155, March.
    29. Long Chen & Zhi Da & Xinlei Zhao, 2013. "What Drives Stock Price Movements?," The Review of Financial Studies, Society for Financial Studies, vol. 26(4), pages 841-876.
    30. repec:bla:jfinan:v:59:y:2004:i:2:p:831-868 is not listed on IDEAS
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    Citations

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    Cited by:

    1. Johannes A. Skjeltorp & Bernt Arne Ødegaard, 2009. "The information content of market liquidity: An empirical analysis of liquidity at the Oslo Stock Exchange?," Working Paper 2009/26, Norges Bank.
    2. Gallefoss, Kristoffer & Hansen, Helge Hoff & Haukaas, Eirik Solli & Molnár, Peter, 2015. "What daily data can tell us about mutual funds: Evidence from Norway," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 117-129.
    3. Odegaard, Bernt Arne, 2017. "Empirics of the Oslo Stock Exchange. Asset Pricing results 1980-2016," UiS Working Papers in Economics and Finance 2017/2, University of Stavanger.
    4. Vegard Høghaug Larsen & Leif Anders Thorsrud, 2022. "Asset returns, news topics, and media effects," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 838-868, July.
    5. Johannes A. Skjeltorp & Bernt Arne Ødegaard, 2010. "Why do firms pay for liquidity provision in limit order markets?," Working Paper 2010/12, Norges Bank.
    6. Thorburn, Karin S & Eckbo, B Espen & Nygaard, Knut, 2016. "Does gender-balancing the board reduce firm value?," CEPR Discussion Papers 11176, C.E.P.R. Discussion Papers.
    7. Johannes Atle Skjeltorp & Bernt Arne Ødegaard, 2015. "When Do Listed Firms Pay for Market Making in Their Own Stock?," Financial Management, Financial Management Association International, vol. 44(2), pages 241-266, June.
    8. Randi Næs & Bernt Arne Ødegaard, 2008. "Liquidity and asset pricing: Evidence on the role of investor holding period," Working Paper 2007/11, Norges Bank.
    9. Kjærland, Frode & Kosberg, Fredrik & Misje, Mathias, 2021. "Accrual earnings management in response to an oil price shock," Journal of Commodity Markets, Elsevier, vol. 22(C).
    10. Ødegaard, Bernt Arne, 2009. "Who moves stock prices? Monthly evidence," UiS Working Papers in Economics and Finance 2009/4, University of Stavanger.

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    More about this item

    Keywords

    Stock Market Valuation; Asset Pricing; Factor Models; Generalized; Method of Moments;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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