Optimization of investment portfolio management
Оптимизация управления инвестиционным портфелем
2019-01-01
SCID: 54.1/afbrdypk
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Pontryagin maximum principleinvestment portfolio optimizationoptimal investment strategiesportfolio asset managementvalue-at-risk (VaR)
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Abstract (AI)
The task of creating an investment portfolio by a financial institution is considered. Funds for creating a portfolio are taken from two sources: enterprise's equity funds and borrowed funds. Optimization of the created portfolio is performed. A portfolio of maximum efficiency was obtained with restriction on the measure of risk, which is specified in the form of a VaR indicator. Using optimization portfolio data, a model of portfolio asset management is being built. Using the Pontryagin maximum principle, optimal strategies of its participants are determined. The optimal function of managing the investment portfolio in the form of a share of the income received is found. Numerical results of optimal management of investments in a financial portfolio from the financial institution as well as from the creditor are presented.
Key Findings
1
Applying Pontryagin’s maximum principle, the study derives optimal participant strategies and a portfolio-management function based on the share of income received.
2
Numerical results are presented for optimal investment management by both the financial institution and the creditor.
3
Optimized portfolio data are used to construct a dynamic asset-management model for the financial institution and creditor.
4
Portfolio optimization identifies a maximum-efficiency portfolio subject to a Value-at-Risk (VaR) constraint.
5
The study formulates investment portfolio creation using both an enterprise’s equity and borrowed funds.
Research Object
an investment portfolio created and managed by a financial institution using equity and borrowed funds
Research Subject
portfolio optimization under a Value-at-Risk constraint and optimal income-share management strategies for the financial institution and creditor
Publication Details
Publication Date
2019-01-01
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