Risk-free returns and non-liquidity of the market signal for predicting future market returns

Document Type : Original Article

Authors
1 Department of Accounting, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran
2 Department of Accounting, Faculty of Economic and Administrative Sciences, Isfahan University, Isfahan, Iran
10.30495/jik.2024.23764
Abstract
Predicting returns, unlike historical return calculations, has many complexities. Predicting capital market returns is very complex due to its impact on many factors and variables and is often accompanied by deviations and errors. Due to the high importance of predicting capital market returns in economic decisions, both at the micro and macro levels, researchers have always tried to estimate the impact of variables as a signal to estimate the future return on capital markets. In this study, risk-free returns and lack of market liquidity are used to determine the predictability of future returns. Therefore, this study examines risk-free returns and lack of market liquidity as a signal for predicting future market returns. This study uses time series data of Iran Stock Exchange from 2008 to 2020. The results showed that lack of liquidity can be a good signal to predict market returns with a frequency of one month and the next quarter; However, it is not able to predict the return of the 12-month market frequency, and its adjusted coefficient of determination showed that the predictability values of the return decrease with increasing time frequency. risk-free interest rate has the ability to predict market returns in the frequency of one month, three months and twelve months, and its adjusted coefficient of determination showed that with increasing time frequency, the predictability of market returns will increase. lack of stock market liquidity can better predict short-term future returns, but interest rates have a high signaling ability for both short-term and long-term periods
Keywords

پدرام، مهدی؛ موسوی، میرحسین و عباسی، سحر. (1395). اثرات نامتقارن نرخ بهره بر شاخص قیمت سهام ایران. مطالعات مدیریت و حسابداری، دوره 2، شماره 4.
خردیار، سینا؛ فرزانه، مینا و صفری، مریم. (1398). تاثیر شوک نقدینگی بر رابطه بین ریسک بازار و بازده سهام. فصلنامه رویکردهای پژوهشی نوین در مدیریت و حسابداری، 3 (22)، صص 18-33.
 
Amihud, Y. 2002. Illiquidity and Stock Returns: Cross Section and Time Series Effects. Journal of Financial Markets 5:31–56.
Baker, M. & Stein, J. C. (2004). Market liquidity as a sentiment indicator. Journal of Financial Markets, 7(3), 271–299.
Bali, T. G. Peng, L. Shen, Y. & Tang, Y. (2014). Liquidity shocks and stock market reactions. The Review of Financial Studies, 27(5), 1434–1485.
Bianchi, D. Guidolin, M. & Pedio, M. (2022). The dynamics of returns predictability in cryptocurrency markets. The European Journal of Finance, 1-29.
Barberis, N. Shleifer, A. & Vishny, R. (1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 207–343.
BARTOŠOVÁ V. Financial analysis and planning. EDIS Publishers, University of Žilina, Žilina 2008, 82 p., ISBN 978-80-554-0001-3
Black, F. (1986). Noise. The Journal of Finance, 41(3), 528–543.
Cakici, N., & Zaremba, A. (2021). Liquidity and the cross-section of international stock returns. Journal of Banking & Finance, 127, 106123.‏
Chang, X., Chen, Y., & Zolotoy, L. (2017). Stock liquidity and stock price crash risk. Journal of Financial and Quantitative Analysis, 52(4), 1605–1637.
Charles, A., Darn´e, O., & Kim, J. H. (2017). International stock return predictability: Evidence from new statistical tests. International Review of Financial Analysis, 54,
Cho, S., Hyde, S., & Nguyen, N. (2015). Sectoral integration, comovement and contagion. In Working paper. Manchester Business School.
Chordia, T., R. Roll, and A. Subrahmanyam. 2004. Order Imbalance, Liquidity, and Market Returns. Journal of Financial Economics 72:485–518.
Chordia, T., Roll, R., & Subrahmanyam, A. (2008). Liquidity and market efficiency. Journal of Financial Economics, 87(2), 249–268.
Chordia, T., Roll, R., & Subrahmanyam, A. (2011). Recent trends in trading activity and market quality. Journal of Financial Economics, 101(2), 243–263.
Chung, D. Y., & Hrazdil, K. (2010a). Liquidity and market efficiency: A large sample study. Journal of Banking & Finance, 34(10), 2346–2357.
Cipriani, M., & Guarino, A. (2008). Transaction costs and informational cascades in financial markets. Journal of Economic Behavior and Organization, 68(3–4), 581–592.
Compbel, K. (1987), "Causality of Interest Rate, Exchange Rate and Stock Prices at Stock Market Open and Close in Hong Kong", Asia Pacific Journal of Management, Vol. 10, PP. 123-143.
DAMODARAN, A.. What is the Riskfree Rate? A search for the Basic Building Block. – Stern School of Business. – New York University 2008.
Daniel, K., & Titman, S. (1999). Market efficiency in an irrational world. Financial Analysts Journal, 55(6), 28–40.
Dow, J., & Gorton, G. (1993). Trading, communication and the response of asset prices to news. Economic Journal, 103(418), 639–646. https://doi.org/10.2307/
Fama, E. F. (1991). Efficient capital markets: II. The Journal of Finance, 46(5), 1575–1617.
Fama, E. F., & French, K. R. (2012). Size, value, and momentum in international stock returns. Journal of Financial Economics, 105(3), 457–472.
Ferson, E. (1989), "Stock Return and Nominal Interest Rat", American Economic Review, Vol. 71, PP.545-565.
Flanry, L. & A. James (1987), "Interest Rate and Stock Prices in the Unites States," Applied Financial Economics, Vol. 3, PP. 51-54.
Foster, F. D., & Viswanathan, S. (1993). The effect of public information and competition on trading volume and price volatility. Review of Financial Studies, 6(1),
frl.2019.01.009.
Glosten, L., & Milgrom, P. (1985). Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics, 14,
Goyal, A., & Welch, I. (2003). Predicting the equity premium with dividend ratios. Management Science, 49(5), 639–654.
Hammami, Y., & Zhu, J. (2020). Understanding time-varying short-horizon predictability. Finance Research Letters, 32, 101097.
Henkel, S. J., Martin, J. S., & Nardari, F. (2011). Time-varying short-horizon predictability. Journal of Financial Economics, 99(3), 560–580.
Hodrea, R. (2015). An intraday analysis of the market efficiency-liquidity relationship: The case of BVB stock exchange. Procedia Economics and Finance, 32, 1432–1441.
Hou, K., & Moskowitz, T. J. (2005). Market frictions, price delay, and the cross-section of expected returns. Review of Financial Studies, 18(3), 981–1020.
Jones, C. 2002. A Century of Stock Market Liquidity and Trading Costs. Working paper, Columbia University, NY.
Kirby, C. (1998). The restrictions on predictability implied by rational asset pricing models. Review of Financial Studies, 58(10), 1916–1932.
Lagoarde-Segot, T., & Lucey, B. M. (2008). Efficiency in emerging markets—Evidence from the MENA region. Journal of International Financial Markets Institutions and Money, 18(1), 94–105.
Lee, I. H. (1998). Market crashes and informational avalanches. Review of Economic Studies, 65(4), 741–759.
Lehutova, K., Krizanova, A., & Kliestik, T. (2013). Quantification of equity and debt capital costs in the specific conditions of transport enterprises. In 17th International Conference on Transport Means, Transport Means., Kaunas Univ Technol, Kaunas, Lithuania (pp. 258-261).
Li, X., Chen, X., Li, B., Singh, T., & Shi, K. (2021). Predictability of stock market returns: New evidence from developed and developing countries. Global Finance Journal, 100624.
Liu, L. X., & Zhang, L. (2008). Momentum profits, factor pricing, and macroeconomic risk. Review of Financial Studies, 21(6), 2417–2448.
Lo, A. W., & MacKinlay, A. C. (1990). An econometric analysis of nonsynchronous trading. Journal of Econometrics, 45(2), 181–211.
Ma Rui , Anderson Hamish D., Marshall Ben R.,(2018), Market Volatility, Liquidity Shocks, and Stock Returns: Worldwide Evidence , Pacific-Basin Finance Journal, PACFIN
Ma, F., Lu, F., & Tao, Y. (2022). Geopolitical risk and excess stock returns predictability: New evidence from a century of data. Finance Research Letters, 103211.
 Mukherji, (2011). THE CAPITAL ASSET PRICING MODEL’S RISK-FREE RATE. The International Journal of Business and Finance Research. 5(2).
Okpara,G.(2010).’’Monetary Policy and Stock Market Returns:Evidence from Nigeria’’.Journal of Economics,1,13-21.
Pagano, M., & R¨oell, A. (1996). Transparency and liquidity: A comparison of auction and dealer markets with informed trading. Journal of Finance, 51(2), 579–611.
Park, J. S., & Newaz, M. K. (2021). Liquidity and short-run predictability: Evidence from international stock markets. Global Finance Journal, 50, 100673.
Rapach, D. E., Strauss, J. K., & Zhou, G. (2013). International stock return predictability: What is the role of the United States? The Journal of Finance, 68(4).
Roy, P. P., Rao, S., & Zhu, M. (2022). Mandatory CSR expenditure and stock market liquidity. Journal of Corporate Finance, 72, 102158.
Sarr, A., & Lybek, T. (2002). Measuring liquidity in financial markets (IMF working paper, WP/02/232). International Monetary Fund. Retrieved from.
Tiwari, A. K., Abakah, E. J. A., Karikari, N. K., & Gil-Alana, L. A. (2022). The outbreak of COVID-19 and stock market liquidity: Evidence from emerging and developed equity markets. The North American Journal of Economics and Finance, 62, 101735.
Welch, I., & Goyal, A. (2008). A comprehensive look at the empirical performance of equity premium prediction. The Review of Financial Studies, 21(4), 1455–1508.
Wilson, M. and Shailer, G. (2004), “The Term Structure of Discount Rates and Capital Budgeting Practice,” Journal of Applied Management Accounting Research, 2, 29-40.