Document Type : Research Article
Authors
1 Department of Management, University of Tehran, Tehran, Iran
2 Faculty of Economics, University of Tehran, Tehran, Iran
3 Department of Smart Security, Konyang University, Nosan, Republic of Korea
Abstract
This study presents an enhanced framework for portfolio performance evaluation by refining Jensens alpha to incorporate dynamic conditional beta. Traditional models rely on static beta assumptions, often overlooking the time-varying nature of portfolio risk and its influence on performance metrics. By integrating dynamic conditional beta, this research provides a more precise measure of risk-adjusted returns, offering deeper insights into investment performance. The methodology is applied to subsidiaries of the Golrang Industrial GroupKimiatek, Padideh, Ofoghe Kourosh, and Pakshoo-analyzing their financial performance under varying market conditions. The results demonstrate the superiority of adjusted dynamic conditional Jensens alpha, particularly during periods of heightened market volatility. This advancement equips investors and portfolio managers with more reliable performance assessment tools, supporting strategic decision-making and improving risk-return analysis. By addressing limitations in traditional evaluation models, this study contributes to the development of robust financial metrics and emphasizes the importance of incorporating time-sensitive risk factors for comprehensive portfolio analysis.
Keywords
Appl. Econom. 45 (2013), no. 3, 375–383.
[2] M. A. Ali, M. Aqil, S. H. Alam Kazmi, and S. I. Zaman, Evaluation of risk adjusted performance of mutual funds in an emerging market, Internat. J. Finance Econom. 28 (2023),
no. 2, 1436–1449.
[3] A. Amiri, R. Zare, and M. Mozayeni, Dynamic conditional beta and the explanatory power
of conditional Treynor ratio: Evidence from Iran, Iranian Econom. Rev. 24 (2020), no. 1,
139–154.
[4] D. Bams and S. Kessler, Static versus dynamic models for the performance evaluation of
mutual funds, J. Banking Finance 81 (2017), 188–204.
[5] R. Ball, S. P. Kothari, and J. Shanken, Problems in measuring portfolio performance: An
application to contrarian investment strategies, J. Financial Econom. 38 (1995), no. 1, 79–
107.
[6] N. Barberis and R. Thaler, A survey of behavioral finance, in Handbook of the Economics of
Finance, vol. 1, North-Holland, 2003, pp. 1053–1128.
[7] D. G. Baur, Testing for structural breaks in correlations: Are financial asset returns really
getting more extreme?, J. Banking Finance 30 (2006), no. 12, 3311–3333.
[8] T. Bollerslev, Generalized autoregressive conditional heteroskedasticity, J. Econometrics 31
(1986), no. 3, 307–327.
[9] M. M. Carhart, On persistence in mutual fund performance, J. Finance 52 (1997), no. 1,
57–82.
[10] R. F. Engle, Autoregressive conditional heteroskedasticity with estimates of the variance of
United Kingdom inflation, Econometrica 50 (1982), no. 4, 987–1007.
[11] R. F. Engle, Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models, J. Bus. Econom. Statist. 20 (2002), no. 3,
339–350.
[12] E. F. Fama and K. R. French, Common risk factors in the returns on stocks and bonds, J.
Financial Econom. 33 (1993), no. 1, 3–56.
[13] S. Giglio, B. Kelly, and S. Pruitt, Systematic risk and the price of volatility, Rev. Financial
Stud. 32 (2019), no. 10, 3728–3777.
[14] D. Huang, F. Jiang, and J. Tu, Conditional multi-factor models with volatility and jumps, J.
Econometrics 193 (2016), no. 2, 387–401.
[15] M. C. Jensen, The performance of mutual funds in the period 1945–1964, J. Finance 23
(1968), no. 2, 389–416.
[16] M. Mehrara and S. Tajdini, Comparison of profitability of speculation in the foreign exchange
market and investment in Tehran Stock Exchange during Iran’s currency crisis using conditional Sharpe ratio, 2020.
[17] S. Tajdini, M. Mehrara, and R. Tehrani, Double-sided balanced conditional Sharpe ratio,
Cogent Econom. Finance 7 (2019), no. 1, 1630931.
[18] S. Tajdini, M. Mehrara, and R. Tehrani, Hybrid balanced justified Treynor ratio, Managerial
Finance (Year), vol. Volume, no. Issue, pp. Page range.
)