Ambiguity in capital market and equity investment

Document Type : Research Paper

Authors

1 Department of Industrial Management, Kashan Branch, Islamic Azad University, Kashan, Iran

2 Department of Accounting, Kashan Branch, Islamic Azad University, Kashan, Iran

3 Department of Business Administration, Kashan Branch, Islamic Azad University, Kashan, Iran

Abstract

Modeling and predicting fluctuations are important for many financial applications, including asset allocation, risk measurement and option pricing. This paper identifies and ranks the factors affecting market ambiguity and equity investment in companies listed on the Tehran Stock Exchange. This paper reviews the literature to identify the factors affecting market ambiguity and equity investment while conducting semi-structured interviews using the qualitative method of theme analysis. The experts interviewed were eighteen university professors and capital market activists and experts. A literature review, research, and interview results revealed six main themes, categorizing the factors influencing market ambiguity and equity investment in companies. This paper identified and ranked the main factors by the identified key factors and the fuzzy Delphi method. The results showed that the factors of financial performance, market, liquidity, financial analysis, environment, ambiguity and corporate governance are effective in market ambiguity and equity investment of companies, respectively.

Keywords

[1] A. Amin Ashairi, Investigate the relationship between economic policy uncertainty and the risk of falling stock prices, New Res. Approach. Manag. Account. 4 (2021), no. 77. [In Persian]
[2] A. Anand and K. Venkataraman, Market conditions, fragility, and the economics of market making, J. Financ. Econ. 121 (2016), 327–349.
[3] T.G. Bali, S. Brown, and Y. Tang, Disagreement in economic forecasts and expected stock returns, Georgetown McDonough School of Business Research Paper 2407279 (2016).
[4] T.G. Bali, H. Zhou, Risk, uncertainty, and expected returns. J. Financ. Quant. Anal. 51 (2015), 707–735.
[5] N. Barberis, X-CAPM: An extrapolative capital asset pricing model, J. Financ. Econ. 115 (2015), no. 1, 1-24.
[6] N. Barberis and R. Thaler, A survey of behavioral finance, Handbook of the Economics of Finance 1, Elsevier, 2003, pp. 1053–1128.
[7] D. Bernoulli, Hydrodynamica sive de viribus et motibus fluidorum commentarii, Johannis Reinholdi Dulseckeri, 1738.
[8] W.M. Bolstad and J.M. Curran, Introduction to Bayesian Statistics, John Wiley & Sons, 2016.
[9] B. Chen, X. Liu, H. Zhao, and J.C. Pr´ıncipe, Maximum correntropy Kalman filter, Automatica 76 (2017), 70–77.
[10] E. Halim, Y.E. Riyanto, and N. Roy, Costly information acquisition, social networks, and asset prices: Experimental evidence, J. Finance 74 (2019), no. 4, 1975–2010.
[11] K. Hong, J. Miao, and N. Wang, Risk, uncertainty, and option exercise, J. Econ. Dyn. Control 35 (2021), 442—461.
[12] G. Jin, H. Liu, and Z. Yang, Optimal consumption and investment strategies with liquidity risk and lifetime uncertainty for Markov regime-switching jump-diffusion models, Eur. J. Oper. Res. 280 (2020), no. 3, 1130–1143.
[13] R.H.Y. Driouchi and T.L. Trigeorgis, Investor ambiguity, systemic banking risk and economic activity: the case of too-big-to-fail, J. Corp. Financ. 62 (2020), 101549.
[14] D. Gilboa and I. Schmeidler, Maxmin expected utility with non-unique prior, J. Math. Econ. 18 (1989), no. 2, 141–153.
[15] M. Klibanoff, S. Marinacci, and P. Mukerji, A smooth model of decision making under ambiguity, Econometrica 73 (2005), no. 6, 1849–1892.
[16] H. Maqsood, H. Vakilifard, and T. Torabi, Testing the variability of effective factors in forecasting stock returns using dynamic averaging models, Financ. Engin. Secur. Manag. 11 (2020), no 45, 639–660.
[17] N. Sabouri and E. Karimpour, Investigate the joint effects of economic policy uncertainty and company characteristics on capital structure (Case study: Companies admitted to the Tehran Stock Exchange), New Res. Meth. Manag. Account. 5 (2021), no. 66.
[18] Z. Shi, Time-varying ambiguity, credit spreads, and the levered equity premium, J. Financ. Econ. 134 (2019), no. 3, 617–646.
[19] X. Wang, H. Rong, and S. Zhao, Optimal investment and benefit payment strategy under loss aversion for target benefit pension plans, Appl. Math. Comput. 346 (2019), 205–218.
[20] J. Wang, M. Zhou, X. Guo, L. Qi, and X. Wang, A Markov regime-switching model for asset pricing and ambiguity measurement of stock market, Neurocomputing 435 (2021), 283-294.
[21] R. Xiao, and S. Qiu, Risks for the long run: A potential resolution of asset pricing puzzles, J. Finance 59 (2021), 1481–1509.
[22] R. Zhang, Uncertainty aversion with second-order utilities and probabilities, Manag. Sci. 52 (2006), 136–145.
Volume 15, Issue 11
November 2024
Pages 293-307
  • Receive Date: 21 September 2022
  • Revise Date: 01 December 2022
  • Accept Date: 11 December 2022