Document Type : Original Article


1 Associate Prof, Faculty of Social Science & Economics, Alzahra University

2 Alzahra University


The aim of this paper is to analyze the multiscale pricing model with the wavelet analysis approach, Fama-French three-factor model, and nonliquidity in Tehran Stock Exchange. It was also desirable to figure out how stock returns, Fama-French factors, and nonliquidity were related in different intervals. According to the results, various outcomes were obtained at different intervals. Stock returns had significant relationships with  (the ratio of book value to market value) and nonliquidity in the long term. Stock returns had significant relationships with the beta,  , and company size in the midterm, too. There was also a significant relationship between stock returns and the company size in the short term. The proposed methodology suggests that investors should employ dynamic portfolio management strategy and multiscale risk-return evaluation to seize investment opportunities.


BODIE,ZVI. KANE, ALEX. MARCUS, ALAN J.(2009). Eith edition. Chapter 7.
2. Trimech, Anyssa. Kortas, Hedi. Benammou, Salwa. (2009). Multiscale Fama-French
model:application to the French market. The Journal of Risk Finance.Vol. 10 No.2. pp. 179-
3. Rabatmili, Mojgan. Mojtahedzadeh, vida.(2008). Comparing performance of CAPM to
Tree-factor Fama and French model in stock expected return prediction in Tehran Stock
Exchange. Journal of knowledge and research of accounting.Vol .3. No.10. pp 14- 34. (in
4. 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.
5. Menike, M. G. P. D., & Prabath, U. S. (2014). The impact of accounting variables on stock
price: Evidence from the Colombo stock exchange, Sri Lanka. International Journal of
Business and Management, 9(5), 125.
6. Czapkiewicz, A., & Wójtowicz, T. (2014). The four-factor asset pricing model on the Polish
stock market. Economic research-Ekonomska istraživanja, 27(1), 771-783.
7. Duy, N. T., & Phuoc, N. P. H. (2016). The Relationship between Firm Sizes and Stock
Returns of Service Sector in Ho Chi Minh City Stock Exchange. Review of European
Studies, 8(4), 210.
8. Huh, S. W. (2014). Price impact and asset pricing. Journal of Financial Markets, 19, 1-38.
9. Eyvazlu, R., Ghahramani, A., Ajam, A. (2017). Analyzing the Performance of Fama and
French Five-factor Model Using GRS Test. Financial Research, 18(4), 691-714.
10.Salehi, A., Bozorgmehrian, S., Salehi, B. (2015). An Assessment of Fama and French`s
Five-factor Model to Forecast the Return of the Growth and Value Stock. Journal of Iranian
Accounting Review, 2(8), 35-52.
11.Abbasi, E., Ghezeljeh, G. (2013). Test of Fama and French Three-Factor Model
Components Effects on Portfolio Return Variance. , 3(11), 161-180.
12.Akbarimogaddam, beitollah. Rezaee, farzin. Norouzi, Ali. (2009). Comparative Studies of
Fama & French and Reward Beta Models in Estimating Expected Stock Returns. Economic
Modeling, 3(7), 55-76.
13.Vakilifard, H. R., & Heirany, F. (2013). A Comparative Evaluation of the Predictability of
Fama-French Three-Factor Model and Chen Model in Explaining the Stock Returns of
Tehran Stock Exchange. International Journal of Academic Research in Accounting,
Finance and Management Sciences, 3(3), 118-124.
14.Norouzi, Ali. Akbari Moghaddam, Bitollah. Rezaee,Farzin.(2009). Comparative Studies of
Fama & French and Reward Beta Models in Estimating Expected Stock Returns. Economic
Modeling, 3(7), 55-76.
15.Ramsey,James.B. and Zhang,Z.(1996)."The Application of Waveform Dictionaries to Stock
Market Index Data". Predictability of Complex Dynamical Systems, edited by Yurii
A.Kravtsov nd James Kadtke,Springer-Verlag,189-208.
16.Atkins,F and Z.Sun (2003). "Using wavelets to uncover the fisher effect. Technical Report
DP 2003-09, Department of Econometrics, University of Calgary, Canada.
Default Risk and Momentum Effect; Some …21
17.Abassi Nejad, Hossein; Mohammadi, Shapour (2006). Analyzing Iran’s Commercial Cycles
by Using the Wavelet Theory. Economic Research Journal, No. 75, pp. 1-20.
18.Eslami, G., Abdoh Tabrizi, H., mohmad, S., Shams, S. (2010). A Survey of the time scale of
capital asset pricing model (CAPM) by wavelet Transfarm. THE IRANIAN ACCOUNTING
19.Tehrani,Reza. Mohammadi,Shapour. Mohammadalizadeh, Arash(2011). Investigating The
Relationship between Stock Market Returns and Inflation in Different Time Scales in
Tehran Stock Exchange using Wavelet transform. Economics Research, 11(41), 225-244.
20.Ansari, Hojat Allah (2008). Analyzing the Effect of Using Different Temporal Indices in
Calculating Risk-Exposed Value by Using the Wavelet Theory. Master’s Thesis, Faculty of
Management, Tehran University.
21.Izadinia, N., Ramesheh, M. (2011). The Role of Stocks' Trading Characteristics in Stock Liquidity
in Tehran Stock Exchange (TSE). , 3(1), 1-27.