INFLUENCE OF THE RISK IMPORTANCE AND THE METHOD OF A RISK MEASUREMENT ON THE COMPOSITION OF THE INVESTMENT PORTFOLIO

被引:0
|
作者
Borovicka, Adam [1 ]
机构
[1] Univ Econ, Prague, Czech Republic
来源
HRADEC ECONOMIC DAYS, VOL 7 (1), 2017 | 2017年
关键词
fuzzy number; influence of risk; investment portfolio; multiple objective programming method; risk measure;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Risk is one of the most important criteria in the investment portfolio making. It can be measured by the various ways. Three well-known risk measures are discussed variance, semivariance and average absolute negative deviation. These concepts can be easily applied to making a portfolio via the mathematical programming methods. In order to take into account a variability of some input data in time, the fuzzy multiple objective programming method is introduced. Through making the portfolio of open unit trusts, the influence of risk measure on the composition of the portfolio is studied. Further, the real portfolio making should confirm or disconfirm that a higher level of risk mostly can produce a higher level of return.
引用
收藏
页码:102 / 112
页数:11
相关论文
共 50 条
  • [31] A New Approach in Multi-Objective Portfolio Optimization using Value-at-Risk based Risk Measure
    Fulga, Cristinca
    Dedu, Silvia
    2010 2ND IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND FINANCIAL ENGINEERING (ICIFE), 2010, : 765 - 769
  • [32] Fuzzy Portfolio Model with Transaction Cost Based on Downside Risk Measure
    Xu, Ruo-ning
    Zhai, Xiao-yan
    FUZZY INFORMATION AND ENGINEERING 2010, VOL 1, 2010, 78 : 377 - +
  • [33] Mean-variance vs trend-risk portfolio selection
    Nedela, David
    Ortobelli, Sergio
    Tichy, Tomas
    REVIEW OF MANAGERIAL SCIENCE, 2024, 18 (07) : 2047 - 2078
  • [34] Efficiency evaluation of fuzzy portfolio in different risk measures via DEA
    Chen, Wei
    Gai, Yuxi
    Gupta, Pankaj
    ANNALS OF OPERATIONS RESEARCH, 2018, 269 (1-2) : 103 - 127
  • [35] Regime-dependent robust risk measures with application in portfolio selection
    Liu, Jia
    Chen, Zhiping
    2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2014, 2014, 31 : 344 - 350
  • [36] Particle Swarm Optimization Algorithm for Determining Global Optima of Investment Portfolio Weight Using Mean-Value-at-Risk Model in Banking Sector Stocks
    Amal, Moh. Alfi
    Napitupulu, Herlina
    Sukono
    MATHEMATICS, 2024, 12 (24)
  • [37] Efficiency evaluation of fuzzy portfolio in different risk measures via DEA
    Wei Chen
    Yuxi Gai
    Pankaj Gupta
    Annals of Operations Research, 2018, 269 : 103 - 127
  • [38] Remarks on a copula-based conditional value at risk for the portfolio problem
    Barreto, Andres Mauricio Molina
    Ishimura, Naoyuki
    INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT, 2023, 30 (03) : 150 - 170
  • [39] Value-at-Risk Based Portfolio Management in Electric Power Sector
    Shi, Ran
    Zhong, Jin
    WMSCI 2008: 12TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS, 2008, : 249 - 253
  • [40] Portfolio Selection Model based on Drawdown Risk Measure with Different Inputs
    Pekar, Juraj
    Brezina, Ivan
    Reiff, Marian
    37TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS 2019, 2019, : 145 - 149