Analysis of the Sector of Software & Computer Services with a New Carhart 4-Factor Model
- 1 Economics School, Nankai University, China
- 2 College of Software, Nankai University, China
- 3 Economics School, Nankai University, China
Abstract
In this paper, we analyze the sector of Software and Computer Services with a new Carhart four-factor model. The US is the leading world market for this sector and this sector is a source of significant economic opportunity in US. We compare this sector in US, UK and China to find out whether the US phenome-non has been replicated by other industrialized countries. LR, KS and AIC are used for testing parameter restrictions, residual check and model comparison, respectively. MLE is used to estimate parameters via Matlab. Empirical results show the Carhart 4 factors are still alive! The new 4-factor model fits the data well and has better in-sample fit than that of Carhart (1997) [1] and Fama-French (1993) [2]. This sector in these 3 countries can not earn statisti-cally significant extra Alpha returns. And the Beta value in this sector of US is close to the market.
- Carhart, M.M. (1997) On Persistence in Mutual Fund Performance. The Journal of Finance, 52, 57-82. https://doi.org/10.1111/j.1540-6261.1997.tb03808.x
- Fama, E.F. and French, K.R. (1993) Common Risk Factors in the Returns on Stocks and Bonds. Journal of Financial Economics, 33, 3-56. https://doi.org/10.1016/0304-405X(93)90023-5
- Otten, R. and Bams, D. (2002) European Mutual Fund Performance. European Financial Management, 8, 75-101. https://doi.org/10.1111/1468-036X.00177
- Chen, G. (2011) An Empirical Study on the Performance of Open-End Funds in China Based on Carhart Four-Factor Model. Dissertation Submitted for the Degree of Master, University of International Business and Economics, Beijing. (In Chinese)
- Lopez, N.H.L.Y. (2014) On the Robustness of the CAPM, Fama-French Three-Factor Model and the Carhart Four-Factor Model on the Dutch Stock Market. A Dissertation Submitted for the Degree of Master, Tilburg University, Tilburg.
- Fama, E.F. and French, K.R. (2012) Size, Value, and Momentum in International Stock Returns. Journal of Financial Economics, 105, 457-472. https://doi.org/10.1016/j.jfineco.2012.05.011
- Connor, G., Hagmann, M. and Linton, O. (2012) Efficient Semiparametric Estimation of the Fama-French Model and Extensions. Econometrica, 80, 713-754. https://doi.org/10.3982/ECTA7432
- Chai, D., Faff, R. and Gharghori, P. (2013) Liquidity in Asset Pricing: New Australian Evidence Using Low-Frequency Data. Australian Journal of Management, 38, 375-400. https://doi.org/10.1177/0312896213489143
- Garyn-Tal, S. and Lauterbach, B. (2015) The Formulation of the Four Factor Model When a Considerable Proportion of Firms Is Dual-Listed. Emerging Markets Review, 24, 1-12. https://doi.org/10.1016/j.ememar.2015.05.006
- Bradrania, M.R., Peat, M. and Satchell, S. (2015) Liquidity Costs, Idiosyncratic Volatility and Expected Stock Returns. International Review of Financial Analysis, 42, 394-406. https://doi.org/10.1016/j.irfa.2015.09.005
- Zhu, D. and Zinde-Walsh, V. (2009) Properties and Estimation of Asymmetric Exponential Power Distribution. Journal of Econometrics, 148, 86-99. https://doi.org/10.1016/j.jeconom.2008.09.038
- Nelson, D.B. (1991) Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59, 347-370. https://doi.org/10.2307/2938260
- Gallagher, D.R., Nadarajah, P. and Pinnuck, M. (2006) Top Management Turnover: An Examination of Portfolio Holdings and Fund Performance. Australian Journal of Management, 31, 265-292. https://doi.org/10.1177/031289620603100205