Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shokoofeh Banihashemi"'
Publikováno v:
Entropy, Vol 25, Iss 9, p 1252 (2023)
The objective of this study is to evaluate assets’ performance by considering the exit time within the risk measurement framework alongside Shannon entropy and, alternatively, excluding these factors, which can be used to create a portfolio aligned
Externí odkaz:
https://doaj.org/article/67ac612470cc4f538e6161018d9737fb
Autor:
Shokoofeh Banihashemi, Sarah Navidi
Publikováno v:
Operations Research Perspectives, Vol 4, Iss , Pp 21-28 (2017)
As we know, there is a belief in the finance literature that Value at Risk (VaR) and Conditional Value at Risk (CVaR) are new approaches to manage and control the risk. Regard to, value at risk is not a coherent risk measure and it is not sub-additiv
Externí odkaz:
https://doaj.org/article/ef9933c677fb43edb7a81d66366ba6a3
Autor:
Seyedeh Masoumeh Mirsadeghpour Zoghi, Masoud Sanei, Ghasem Tohidi, Shokoofeh Banihashemi, Navideh Modarresi
Publikováno v:
Concurrency and Computation: Practice and Experience. 35
Publikováno v:
Advances in Mathematical Finance and Applications, Vol 5, Iss 1, Pp 29-51 (2020)
The purpose of this study is to develop portfolio optimization and assets allocation using our proposed models. The study is based on a non-parametric efficiency analysis tool, namely Data Envelopment Analysis (DEA). Conventional DEA models assume no
Autor:
Sarah Navidi, Shokoofeh Banihashemi
Publikováno v:
Filomat. 32:815-823
The purpose of this study is to develop portfolio optimization and assets allocation using our proposed models. For this, three steps are considered. In the first step, the stock companies screen by their financial data. For second step, we need some
Publikováno v:
Filomat. 32:991-1001
This paper is a novel work of portfolio-selection problem solving using multi objective model considering four parameters, Expected return, downside beta coefficient, semivariance and conditional value at risk at a specified confidence level. Multi-p
Autor:
Shokoofeh Banihashemi
Publikováno v:
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA).
According to the empirical evidence, financial returns show leptokurtosis, skewness and heavy-tailness. Regarding this behavior, we apply normal mixture mean variance distributions for portfolio management and allocating best weights for portfolio op
Publikováno v:
AIP Conference Proceedings.