• Ingen resultater fundet

Due to high transaction costs, it seems sensible to use non-overlapping holding periods when executing a momentum strategy. In this case, all 16 momentum strategies still realize abnormal returns; however, most of the returns are not significantly different from zero.

Researchers have struggled to explain the source of the momentum anomaly. Possible explanations include, but are not limited to; data mining, risk-based explanations and behaviour based explanations. It has been suggested that the momentum effect is simply the results of data mining. A large body of evidence across different time periods and different stock markets makes such an explanation unlikely to be the cause of the momentum effect. This thesis investigates whether momentum returns can be explained by rational asset pricing models. By performing a regression analysis we find that neither the CAPM nor the Fama-French 3-factor model are able to explain the momentum returns fully, which is in line with previously conducted studies such as Jegadeesh &

Titman (2001) and Fama & French (1996). Various models within behavioral finance have been proposed to explain the momentum effect. However, even though testing such models is outside the scope of this thesis, we encourage others to pursue this venue. We believe that such contributions can bring us closer at explaining the momentum effect on the Oslo Stock Exchange.

Finally, we would like to stress that there might be other explanations for our momentum results that we have not covered in this thesis.

Chapter 10 Bibliography

10.1 Articles

Antoniou, A., Arbour, P., & Zhao, H. (2008). How Much Is Too Much: Are Merger Premiums Too High? European Financial Management, 14(2), 268–287.

Asness, C. S., Moskowitz, T. J., & Pedersen, L. H. (2013). Value and Momentum Everywhere. The Journal of Finance, 68(3), 929–985.

Barberis, N., Shleifer, A., & Vishny, R. (1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 307–343.

Barberis, N., & Thaler, R. (2003). A Survey of Behavioral Finance. Handbook of the Economics of Finance.

Carhart, M. M. (1997). On Persistence in Mutual Fund Performance. Journal of Finance, 52(1), 57–

82.

Campbell, J. Y., Lettau, M., Malkiel, B. G., & Xu, Y. (2001). Have individual stocks become more volatile? An empirical exploration of idiosyncratic risk. The Journal of Finance, LVI(1), 1–41.

Conrad, J., & Kaul, G. (1998). An anatomy of trading strategies. Review of Financial Studies, 11(3), 489–519.

Daniel, K. D., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor Psychology and Security Market Under- and Overreactions. The Journal of Finance, 53(6), 1839–1885.

De Bondt, W. F. M., & Thaler, R. (1985). Does the Stock Market Overreact? The Journal of Finance, 40(3), 793–805.

De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990). Positive Feedback Investment Strategies and Destabilizing Rational Speculation. The Journal of Finance, 45(2), 379–395.

Domowitz, I., Glen, J., & Madhavan, A. (2001). Liquidity, Volatility and Equity Trading Costs Across Countries and Over Time. International Finance, 4(2), 221–255.

Fama, E. F. (1965). Random Walks in Stock Market Prices. Financial Analysts Journal, 21(5), 55–

59.

Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383–417.

Fama, E. F. (1998). Market efficiency, long-term returns, and behavioral finance. Journal of Financial Economics, 49(3), 283–306.

Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds.

Journal of Financial Economics, 33(1), 3–56.

Fama, E. F., & French, K. R. (1996). Multifactor Explanations of Asset Pricing Anomalies. The Journal of Finance, LI(1), 55–84.

Fama, E. F., & French, K. R. (2004). The Capital Asset Pricing Model: Theory and Evidence.

Journal of Economic Perspectives, 18(3), 25–46.

Fama, E., & French, K. (2013). A Five-Factor Asset Pricing Model. Fama-Miller Working Paper, University of …, 45.

Griffin, J. M., Ji, X., & Martin, J. S. (2003). Momentum investing and business cycle risk: Evidence from pole to pole. The Journal of Finance, LVIII(6), 2515–2547.

Griffin, J., Ji, X., & Spencer Martin, J. (2005). Global Momentum Strategies: A Portfolio Perspective. The Journal of Portfolio Management, 31(2), 23–39.

Grundy, B. D., & Martin, J. S. (2001). Understanding the Nature of the Risks and the Source of the Rewards to Momentum Investing. Review of Financial Studies, 14(1), 29–78.

Hong, H., Lim, T., & Stein, J. C. (2000). Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies. The Journal of Finance, LV(1), 265–295.

Hong, H., & Stein, J. C. (1999). A Unified Theory of underreaction, Momentum Trading, and Overreaction in Asset Markets. The Journal of Finance, LIV(6), 2143–2184.

Jaffe, J. F. (1974). Special Information and Insider Trading. Journal of Business, 47(3), 410–428.

Jegadeesh, N. (1990). Evidence of Predictable Behavior of Security Returns. The Journal of Finance, XLV(3), 881–898.

Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65–91.

Jegadeesh, N., & Titman, S. (2001). Profitability of Momentum Strategies: An Evaluation of Alternative Explanations. The Journal of Finance, LVI(2), 699–720.

Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk.

Econometrica: Journal of the Econometric Society, 47(2), 263–292.

Keown, A. J., & Pinkerton, J. M. (1981). Merger Announcements and Insider Trading Cctivity: An Empirical Investigation. The Journal of Finance, 36(4), 855–869.

Kiem, D. B. (1983). Size-Related Anomalies and Stock Return Seasonality. Journal of Financial Economics, 12(1), 13–32.

Kloster-jensen, C. (2006). Markedseffisiensteorien og momentum på Oslo børs. Norwegian School of Economics and Business Administration.

Lesmond, D. a., Schill, M. J., & Zhou, C. (2004). The illusory nature of momentum profits. Journal of Financial Economics, 71(2), 349–380.

Lo, A. W. (2007). Efficient markets hypothesis. In S. N. Durlauf & L. E. Blume (Eds.), The new palgrave: A dictionary of economics (Second Edi., pp. 1–28). Palgrave McMillian.

Marquering, W., Nisser, J., & Valla, T. (2006). Disappearing anomalies: a dynamic analysis of the persistence of anomalies. Applied Financial Economics, 16(4), 291–302.

Odean, T. (1998a). Are Investors Reluctant to Realize Their Losses? The Journal of Finance, LIII(5), 1775–1798.

Odean, T. (1998b). Volume, Volatility, Price, and Profit When All Traders Are Above Average.

The Journal of Finance, LIII(6), 1887–1934.

Rouwenhorst, K. (1998). International Momentum Strategies. The Journal of Finance, LIII(1), 267–

284.

Rouwenhorst, K. G. (1999). Local Return Factors and Turnover in Emerging Stock Markets. The Journal of Finance, LIV(4), 1439–1464.

Solheim, M., & Jensen, B. C. (2011). Momentum i Norge. Norwegian School of Economics and Business Administration.

Swinkels, L. (2004). Momentum investing: A survey. Journal of Asset Management, 5(April), 120–

143.

The Royal Swedish Academy of Sciences. (2002). Foundations of Behavioral and Experimental Economics. Nobel Prize in Economics Documents.

The Royal Swedish Academy of Sciences. (2013). Trendspotting in Asset Markets. Nobel Prize in Economics Documents.

Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases. Science (New York, N.Y.), 185(4157), 1124–31.

Ødegaard, B. A. (2011). Empirics of the Oslo Stock Exchange. Basic, descriptive, results.

University of Stavanger, 64.

10.2 Books

Angenfelt, M. (2013). The World’s 99 Greatest Investors - The Secret of Success. (B. Sidemo & E.

Feldt, Eds.) (p. 254). Roos & Tegnér.

Berk, J., & DeMarzo, P. (2011). Corporate Finance. Corporate Finance (2nd Global., p. 1001).

Pearson Education Limited.

Bodie, Z., Kane, A., & Markus, A. J. (2011). Investments and Portfolio Management. Investments and Portfolio Management (9th Global., p. 1056). McGraw-Hill.

Brealey, R. A., Myers, S. C., & Allen, F. (2011). Principles of Corporate Finance. Priniples of Corporate Finance (10th ed., p. 944). McGraw-Hill.

Campbell, J. Y., Lo, A. W., & MacKinlay, a. C. (1997). The Econometrics of Financial Markets.

Macroeconomic Dynamics (Vol. 2, p. 611). Princeton: Princeton University Press.

Gujarati, D. N., & Porter, D. C. (2010). Basic Econometrics (5th ed., p. 800). McGraw-Hill.

Koller, T., Goedhart, M., & Wessels, D. (2010). Valuation - Measuring and Managing the Value of Companies (5th ed., p. 811). Wiley.

10.3 Webpages

Børsprosjektet. (n.d.). Retrieved June 24, 2014, from http://mora.rente.nhh.no/borsprosjektet/AboutBP.aspx

Mikalsen, B.-E. (2008, October 8). Prohibits short trade on Oslo Børs. DN. Retrieved from http://www.dn.no/nyheter/2008/10/08/forbyr-shorthandel-ved-oslo-bors

Nordnet. (2014). Shortsale. Retrieved April 09, 2014, from

https://www.nordnet.no/kundeservice/start/belaning-og-shorthandel/shorthandel.html

Osborne, J. W., & Waters, E. (2002). Four Assumptions Of Multiple Regression That Researchers Should Always Test. Retrieved from http://pareonline.net/getvn.asp?n=2&v=8

Pareto Securities. (2014a). Short Sale List. Retrieved April 09, 2014, from http://www.paretosec.com/online/shortlist.php

Pareto Securities. (2014b). Trading Prices. Retrieved August 24, 2014, from http://www.paretosec.com/online/prisliste.php

Pareto Securities. (2014c). Verdipapirfinansering. Retrieved April 28, 2014, from http://www.paretosec.com/download/produktark/Verdipapirfinansiering.pdf PwC. (2013). The Norwegian Market Risk Premium. Retrieved from

http://www.pwc.no/no/publikasjoner/deals/risikopremie-eng.pdf

Raahauge, P. (2008). Lesson 2 - Datastream, Mean values and standard deviations for stock portfolios. In Financial Models in Excel. http://ezlearn.cbs.dk/finMod/future.php?version=quarter StackExchange. (n.d.). Retrieved May 15, 2014, from

http://stats.stackexchange.com/questions/52067/does-adding-more-variables-into-a-multivariable-regression-change-coefficients-o

Standford Education. (n.d.). Critical Value for The Durbin Watson. Retrieved from http://www.stanford.edu/~clint/bench/dw05a.htm

10.4 Data Source

Thomson Reuters Datastream

Appendix Overview

Appendix I Stock list ... 1

A 1 Overview of Stocks in Data Sample ... 1

Appendix II VBA Formulas ... 2

A 2 VBA-Function for Non-Overlapping Method ... 2

A 3 VBA-Function Overlapping Method - Loser Portfolio ... 2

A 4 VBA-Function Overlapping Method - Winner Portfolio ... 2

Appendix III OSEAX Returns for All Momentum Strategies ... 3

A 5 Overview of Market Index Performance for All Momentum Strategies ... 3

Appendix IV Size Split and Liquidity Adjustment ... 3

A 6 Size Split Table – Winner Portfolio ... 3

A 7 Size Split Table – Loser Portfolio ... 3

A 8 Size Split Table - Zero-Cost Portfolio ... 4

A 9 Liquidity Adjusted Size Split Table - Zero-Cost Portfolio ... 4

A 10 Winner Portfolio of the 6x6 Strategy divided into size groups and liquidity adjusted... 5

A 11 Liquidity Adjusted Size Split Table - Winner Portfolio ... 5

A 12 Loser Portfolio of the 6x6 Strategy divided into size groups and liquidity adjusted ... 6

A 13 Liquidity Adjusted Size Split Table - Loser Portfolio ... 6

A 14 Size Split Table - Market Value Overview ... 6

A 15 Liquidity Split Table - Turnover Volume Overview ... 7

Appendix V OLS Assumptions ... 7

A 16 Scatterplot: Winner Portfolio against OSEAX ... 7

A 17 Scatterplot: Loser Portfolio against OSEAX ... 8

A 18 Residuals: CAPM – Winner Portfolio ... 8

A 19 Residuals: CAPM – Loser Portfolio ... 9

A 20 Residuals: 3-Factor Model – Winner Portfolio against OSEAX ... 9

A 21 Residuals: 3-Factor Model – Winner Portfolio against Small-Minus-Big ... 10

A 22 Residuals: 3-Factor Model – Winner Portfolio against High-Minus-Low ... 10

A 23 Residuals: 3-Factor Model – Loser Portfolio against OSEAX ... 11

A 24 Residuals: 3-Factor Model – Loser Portfolio against Small-Minus-Big ... 11

A 25 Residuals: 3-Factor Model – Loser Portfolio against High-Minus-Low ... 12

A 26 Residuals: CAPM – Winner Portfolio against Time ... 12

A 27 Residuals: CAPM – Loser Portfolio against Time ... 13

A 28 Residuals: 3-Factor Model – Winner Portfolio against Time ... 13

A 29 Residuals: 3-Factor Model – Loser Portfolio against Time ... 14

A 30 Residuals: CAPM – Winner Portfolio against Lagged Residuals ... 14

A 31 Residuals: CAPM – Loser Portfolio against Lagged Residuals ... 14

A 32 Residuals: 3-Factor Model –Winner Portfolio against Lagged Residuals ... 15

A 33 Residuals: 3-Factor Model – Loser Portfolio against Lagged Residuals ... 16

Appendix VI OLS and Newey-West Comparison ... 16

A 34 OLS and Newey-West Comparison - Loser Portfolio ... 16

A 35 OLS and Newey-West Comparison - Winner Portfolio ... 16

A 36 OLS and Newey-West Comparison - Zero-Cost Portfolio ... 17