A Model for the Investment Portofolios of Insurance Companies

This paper aims to develop a model for efficient management of investment portfolios of insurance companies on the Romanian market, considering the legal regulations applicable to these portfolios. In solving the optimization problem, the Kuhn-Tacker multiplier method was used applied to a portfolio composed of four types of assets. The results obtained indicate that insurance companies should invest primarily in stocks and government bonds and invest less in bank deposits and real estate. At the same time, the model provides an algorithm for generating efficient portfolios in the performance of the return that insurance companies aim to achieve.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2026-02-01
Primary Topic
Insurance and Financial Risk Management
Type
article
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article

A Model for the Investment Portofolios of Insurance Companies

Mitică Pepi
SHILAP Revista de lepidopterología
Insurance and Financial Risk Management
article

A Model for the Investment Portofolios of Insurance Companies

Mitică Pepi
article en

Abstract

This paper aims to develop a model for efficient management of investment portfolios of insurance companies on the Romanian market, considering the legal regulations applicable to these portfolios. In solving the optimization problem, the Kuhn-Tacker multiplier method was used applied to a portfolio composed of four types of assets. The results obtained indicate that insurance companies should invest primarily in stocks and government bonds and invest less in bank deposits and real estate. At the same time, the model provides an algorithm for generating efficient portfolios in the performance of the return that insurance companies aim to achieve.

SHILAP Revista de lepidopterología
Ovidius University (RO)
Openalex Percentile: Top 60%
Insurance and Financial Risk Management
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A Model for the Investment Portofolios of Insurance Companies — Mitică Pepi · SHILAP Revista de lepidopterología (2026) | TGRS Research Map | TGRS