The Multifactorial Pastor-Stambaugh model: explaining the impact of liquidity on the rate of return based on the example of the Warsaw Stock Exchange

  • Agata Gniadkowska-Szymańska University of Lodz
Keywords: liquidity, the Pastor-Stambaugh model, illiquidity premium

Abstract

Research background: The liquidity of assets in the financial market is under-stood gener-ally as costs, and the easiest way in which different types of assets can be converted into cash, or to put it simply, sold at the currently available price on the market. For a considerable period of time this category had not been duly considered in the framework of modern finance theory. As a result, a number of basic models constructed within the framework of this theory in its classical form did not include problems with liquidity. This applies to a number of aspects related to liquidity, with one of the most important being the relationship between the liquidity of trading in shares and the results obtained from these rates of return.
Purpose of the article: The aim of the article is to determine whether the rate of return on shares increases with the increase in share liquidity and the incremental rate of return on this account decreases with increasing liquidity. The applied re-search methodology is similar to that described by Pastor and Stambaugh (2003). The model used in the empirical study is the expanded model of Fama and Francha (1993) for the liquidity factor.
Methods: In this paper I present various factors which will affect the liquidity. The paper will also provide the results of research concerning the relations between spread and stock return on the Warsaw Stock Exchange (WSE). The evidence drawn from WSE stock returns over the period 2004–2012 indicates that Amihuda measure and other variables have a significant effect on stock return using the multifactorial Pastor-Stambaugh.
Findings & Value added: In the case of the Polish market, it can be stated that in the analysis based on the Pastor-Stambaugh model not all the variables included in this model are statistically significant. However, directional parameters associated with liquidity risk were statistically significant in all analyzed periods, which allows us to confirm the hypothesis that liquidity has a significant influence on the rate of return on shares listed on the Stock Exchange in Warsaw.

References

Acharyal, V., & Pedersen, L. H. (2005). Asset pricing with liquidity risk. Journal of Financial Economics, 77(2). doi: 10.1016/j.jfineco.2004.06.007.
Amihud, Y. (2002). Illiquidity and stock returns: cross-section and time-series effects. Journal of Financial Markets, 5. doi: 10.1016/s1386-4181(01)00024-6.
Amihud, Y., & Mendelson, H. (1986a). Asset pricing and a bid-ask spread. Journal of Financial Economics, 17. doi: 10.1016/0304-405x(86)90065-6.
Amihud, Y., & Mendelson, H. (1986b). Liquidity and stock returns. Financial Analysts Journal, 42(3). doi: 10.2469/faj.v42.n3.43.
Amihud, Y., & Mendelson, H. (1989). The effects of beta, bid-ask spread, residual, risk and size on stock returns. Journal of Finance, 44. doi: 10.2307/2328600.
Bekaert, G., Harvey, C. R., & Lundblad, C. (2007). Liquidity and expected returns: lessons from emerging markets. Review of Financial Studies, 20(6). doi: 10.1093/rfs/hhm030.3.
Bertsimas, D., & Lo, A. W. (1998). Optimal control of execution costs. Journal of Financial Markets, 1(1). doi: 10.1016/s1386-4181(97)00012-8.
Bodie, Z., Kane, A., & Marcus, A. (2002). Investments. Irwin/McGraw-Hill.
Brennan, M. J., & Subrahmanyam, A. (1996). Market microstructure and asset pricing: on the compensation for illiquidity in stock returns. Journal of Financial Economics, 41. doi: 10.1016/0304-405x(95)00870-k.
Brzeszczyński, J., Gajdka, J., & Schabek, T. (2011). The role of stock size and trading intensity in the magnitude of the „interval effect” in beta estimation. Empirical evidence from the Polish capital market. Emerging Markets Finance and Trade, 47(1). doi: 10.2753/ree1540-496x470102.
Chan, H., & Faff, R. (2005). Asset pricing and illiquidity premium. Financial Review, 40. doi: 10.1111/j.1540-6288.2005.00118.x.
Chan, L. K. C., & Lakonishok, J. (1995). The behavior of stock prices around institutional trades. Journal of Finance, 50. doi: 10.2307/2329347.
Chang, Y. Y., Faff, R., & Hwang, C.-Y. (2010). Liquidity and stock returns in Japan: new evidence. Pacific-Basin Finance Journal, 18(1). doi: 10.1016/j.pacfin.2009.09.001.
Cheng, L., Fung, H., & Leung, T. (2007). Information effects of dividends: evidence from the Hong Kong market. Review of Quantitative Finance and Accounting, 26(1). doi: 10.1007/s11156-006-0002-y.
Chordia, T., Roll, R., & Subrahmanyam, A. (2000). Commonality and liquidity. Journal of Financial Economics, 56(1). doi: 10.1016/s0304-405x(99)00057-4.
Dater, V., Naik, N., & Radcliffe, R. (1998). Liquidity and stock returns: an alternative test. Journal of Financial Markets, 1. doi: 10.1016/s1386-4181(97)00004-9.
Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33. doi: 10.1016/0304-405x(93)90023-5.
Fama, E. F., & French, K. R. (1996). Multifactor explanations of asset pricing anomalies. Journal of Finance, 51(1). doi: 10.1111/j.1540-6261.1996 .tb05202.x.
Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81. doi: 10.1086/260061.
Fama, E. F., & French, K. R. (2001). Disappearing dividends: changing firm characteristics or lower propensity to pay?. Journal of Financial Economics, 60. doi: 10.1016/s0304-405x(01)00038-1.
Goyenko, R. Y., Holden, C. W., & Trzcinka, C. A. (2009). Do liquidity measures measure liquidity?. Journal of Financial Economics, 92(2). doi: 10.1016/j.jfineco.2008.06.002.
Hasbrouck, J. (2006). Trading costs and returns for US equities: estimating effective costs from daily data. Working Paper, Stern School of Business, New York University.
Korajczyk, R., & Sadka, R. (2008). Pricing the commonality across alternative measures of liquidity. Journal of Financial Economics, 87(1). doi: 10.1016/j.jfineco.2006.12.003.
Lakonishok, J., & Shapiro, A. C. (1986). Systematic risk, total risk and size as determinants of stock market returns. Journal of Banking & Finance, 10(1). doi: 10.1016/0378-4266(86)90023-3.
Lakonishok, J., Shleifer, A., & Vishny, R. (1994). Contrarian investment, extrapolation, and risk. Journal of Finance, 49 (5). doi: 10.1111/j.1540-6261.1994.tb04772.x.
Lesmond, D. A. (2005). Liquidity of emerging markets. Journal of Financial Economics, 77(2). doi: 10.1016/j.jfineco.2004.01.005.
Lesmond, D. A., Ogden, J. P., & Trzcinka, C. A. (1999). A new estimate of transaction costs. Review of Financial Studies, 12(5). doi: 10.1093/rfs/12.5.1113.
Lischewski, J., & Voronkova, S. (2012). Size, value, and liquidity. Do they really matter on an emerging stock market?. Emerging Markets Review, 13(1). doi: 10.1016/j.ememar.2011.09.002.
Litzenberger, R., & Ramaswamy, K. (1979). The effects of personal taxes and dividends on capital asset prices. Journal of Financial Economics, 7(2). doi: 10.1016/0304-405x(79)90012-6.
Pastor, L., & Stambaugh, R. F. (2003). Liquidity risk and expected stock returns. Journal of Political Economy, 111 (3). doi: 10.1086/374184.
Sadka, R. (2006). Momentum and post-earnings announcement drift anomalies: The role of liquidity risk. Journal of Financial Economics, 80, doi: 10.1016/j.jfineco.2005.04.005.
Shanken, J. (1992). On the estimation of beta-pricing models. Review of Financial Studies, 5. doi: 10.1093/rfs/5.1.1.
Shannon, P., Reilly, R., & Schweihs, R. (2000). Valuing a business: the analysis and appraisal of closely held companies. McGraw-Hill Library of Investment and Finance.
Sharpe, W. (1964). Capital asset prices: a theory of market equilibrum under condition of risk. Journal of Finance, 19. doi: 10.2307/2977928.
Vayanos, D. (2004). Flight to quality, flight to liquidity and the pricing of risk. NBER Working Paper, 10327. doi: https://doi.org/10.3386/w10327.
White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4). doi: 10.2307/1912934
www.gpw.pl (16.08.2012).
www.gpwinfostrefa.pl (11.12.2014).
www.knf.gov.pl (16.08.2012).
www.money.pl (11.12.2014).
Published
2017-06-30
How to Cite
Gniadkowska-Szymańska, A. (2017, June 30). The Multifactorial Pastor-Stambaugh model: explaining the impact of liquidity on the rate of return based on the example of the Warsaw Stock Exchange. Equilibrium. Quarterly Journal of Economics and Economic Policy, 12(2), 211-228. https://doi.org/https://doi.org/10.24136/eq.v12i2.11
Section
Financial markets