Analyzed relationship between risks and expected returns

被引:6
作者
Doan Van Dinh [1 ]
机构
[1] Ind Univ Ho Chi Minh City IUH, Fac Finance & Banking, Ho Chi Minh, Vietnam
关键词
Return on equity; Matrix function; Investment risk; Portfolio management; G1; G10; G11; PORTFOLIO; MODEL;
D O I
10.1108/JEAS-05-2021-0088
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose This study aims to investigate the relationship between risks and the expected return of financial investment because the relationship between them is negative; if the investors agree to the higher level of risk, they have the greater the expected return; therefore, investors always require a degree of proportionality between the risks and returns. Design/methodology/approach This study applied the standard deviation, variance, coefficient of variation methods and matrix function to measure risks. Besides, the dataset is a return on equity ROE, which is collected in three companies at time series from 2005 to 2020. Findings When the variance or the standard deviation is higher, the return on the securities is higher, but the securities are a higher risk and vice versa. The results showed risk levels of stocks that are 2.509%, 0.367%, 3.666% and the corresponding return mean of 38.68%, 23.99% and 14.02%. Originality/value The results support the portfolio management policy appropriately. This study identifies issues for managers, investors and readers to consider: have a comprehensive solution among microcosmic policies, finance policy, investment policy and other policies to control and balance the relationship between risks and returns; have appropriate policies to regulate funds to stimulate investment in the long term.
引用
收藏
页码:749 / 759
页数:11
相关论文
共 24 条
[1]  
Carole B., 2016, J RISK INSUR, V85, P843
[2]   A Study of Low-Volatility Portfolio Construction Methods [J].
Chow, Tzee-man ;
Hsu, Jason C. ;
Kuo, Li-lan ;
Li, Feifei .
JOURNAL OF PORTFOLIO MANAGEMENT, 2014, 40 (04) :89-+
[3]  
Dinh DV, 2019, INT J APPL MATH STAT, V58, P60
[4]  
Ephraim C., 2013, MULTINATIONAL FINANC, V5, P155
[5]   Robust risk measurement and model risk [J].
Glasserman, Paul ;
Xu, Xingbo .
QUANTITATIVE FINANCE, 2014, 14 (01) :29-58
[6]  
Hongke Z., 2018, SYSTEMS MAN CYBERNET, V48, P1109
[7]  
Josep J., 2011, J QUANTITATIVE FINAN, V1, P1587
[8]   An Empirical Investigation of the Antecedents and Outcomes of NPD Portfolio Success [J].
Kester, Linda ;
Hultink, Erik Jan ;
Griffin, Abbie .
JOURNAL OF PRODUCT INNOVATION MANAGEMENT, 2014, 31 (06) :1199-1213
[9]   A Contingency Approach on the Impact of Front-End Success on Project Portfolio Success [J].
Kock, Alexander ;
Heising, Wilderich ;
Gemuenden, Hans Georg .
PROJECT MANAGEMENT JOURNAL, 2016, 47 (02) :115-129
[10]   PORTFOLIO SELECTION [J].
Markowitz, Harry .
JOURNAL OF FINANCE, 1952, 7 (01) :77-91