Presenting the model of investment anomalies’ measurement based on management efficiency

Document Type : Research Paper

Authors

1 Department of Finance, Faculty of Management and Economy, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Department of Management and Economy, Payame Noor University, Tehran, Iran

10.22075/ijnaa.2024.33283.4953

Abstract

This article aims to explain how determining a company’s efficiency may explain investment anomalies. Investment anomalies point to a negative relation between company growth, adjusted rate of return, and future risk. When companies grow with plenty of investments, the market assumes this growth is positive news, but if the companies do not have the required skills for financing, the prices shall be lowered. The findings show that NSI, dAA, and IA anomalies are concentrated in companies with low returns. Furthermore, there is strong evidence that there is a strong relation between Manager-based efficiency and NSI anomaly and there is limited evidence that shows NOA efficiency plays a role in NSI, IA and NOA anomalies.

Keywords

[1] M.C. Avellaneda, J.W. Hoy, and M.J. Pontif, Screening for resistance to sugarcane brown rust with controlled-conditions inoculation, Plant Disease 99 (2015), no. 11, 1633–1639.
[2] P. Balestra and M. Nerlove, Pooling cross section and time series data in the estimation of a dynamic model: The demand for natural gas, Econ.: J. Economet. Soc. 34 (1966), no. 3, 585–612.
[3] B.H. Baltagi, Econometric Analysis of Panel Data, Chichester: Wiley, 2008.
[4] A. Bazargan, University internal evaluation and its application in improving higher education quality, Quart. J. Res. Plann. Higher Educ. 3 (1995), no. 3–4, 49–70.
[5] S. Cederburg and M.M. Doherty, Asset-pricing anomalies at the firm level, J. Economet. 186 (2015), 113–128.
[6] F. Chen, O.-K. Hope, Q. Li, and X. Wang, Financial reporting quality and investment efficiency of private firms in emerging markets, Account. Rev. 86 (2011), no. 4, 1255–1288.
[7] P. Demerjian, B. Lev, and S. McVay, Quantifying managerial ability: A new measure and validity tests, Manag. Sci. 58 (2012), no. 7, 1229–1248.
[8] E.F. Fama and K.R. French, The cross-section of expected stock returns, J. Finance 47 (1992), 427–465.
[9] E.F. Fama and K.R. French, Common risk factors in the returns on stocks and bonds, J. Financ. Econ. 33 (1993), 3–56.
[10] E.F. Fama and K.R. French, Profitability, investment and average returns, J. Financ. Econ. 82 (2006), 491–518.
[11] M. Ghalandari and M.F. Falah, Effects of foreign currency shock in anomaly event (irregular) in Tehran Stock Exchange, Bus. Manag. Quart. 50 (2021).
[12] C.R. Harvey and A. Siddique, Conditional skewness in asset pricing tests, J. Finance 55 (2000), 1263–1295.
[13] K. Hou, C. Xue, and L. Zhang, Digesting anomalies: An investment approach, Rev. Financ. Stud. 28 (2015), 650–705.
[14] A. Jafari, M. Arabsalehi, and S. Samadi, Analysis of effects of market anomalies and growth opportunities on stock return, Asset Manag. Financ. 9 (2020), no. 1, 63–92.
[15] P. Kooh, V. Jury, S. Laurent, F. Audiat-Perrin, M. Sanaa, V. Tesson, M. Federighi, and G. Bou´e, Control of biological hazards in insect processing: Application of HACCP method for yellow mealworm (Tenebrio molitor) powders, Foods 9 (2020), no. 11, 1528.
[16] G.R. Kordestani and M. Ghasemi, Development of balanced scorecard framework based on an integrated approach of cause and effect diagram, interpretive structural modeling and analytic network process J. Ind. Manag. 3 (2014), 573–590.
[17] J. Lintner, The valuation of risky assets and the selection of risky investments in stock portfolios and capital budgets, Rev. Econ. Stat. 47 (1965), 13–37.
[18] Y. Mundlak, Aggregation over time in distributed lag models, Int. Econ. Rev. 2 (1961), no. 2, 154–163.
[19] R. Naderi Bani, M. Arabsalehi, and I. Kazemi, Accounting anomalies test, Fama and French’s 3-factor model at company level by hierarchical procedure and Monte Carlo simulation, Financ. Account. Res. 11 (2019), no. 3.
[20] A. Saghafi and J. Salimi, Fundamental variables of accounting and stock returns, J. Account. Adv. 22 (2005), no. 2, 61–74.
[21] W.F. Sharpe, Capital asset prices: a theory of market equilibrium under conditions of risk, J. Finance 19 (1964), 425–442.
[22] T.D. Wallace and A. Hussain, The use of error components models in combining cross section with time series data, Econ.: J. Economet. Soc. 37 (1969), no. 1, 55–72.
[23] G. Warnaby and C. Shi, Pop-up retailing objectives and activities: A retrospective commentary, J. Glob. Fashion Market. 10 (2019), no. 3, 275–285.

Articles in Press, Corrected Proof
Available Online from 09 December 2024
  • Receive Date: 13 January 2024
  • Accept Date: 11 March 2024