Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Optimal investment strategy and liability ratio for insurer with Levy risk process
Download
index.pdf
Date
2019-01-01
Author
ÖZALP, MUSTAFA ASIM
Yildirak, Kasirga
Yolcu Okur, Yeliz
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
166
views
59
downloads
Cite This
We investigate an insurer's optimal investment and liability problem by maximizing the expected terminal wealth under different utility functions. The insurer's aggregate claim payments are modeled by a Levy risk process. We assume that the financial market consists of a riskless and a risky assets. It is also assumed that the insurer's liability is negatively correlated with the return of the risky asset. The closed-form solution for the optimal investment and liability ratio is obtained using Pontryagin's Maximum Principle. Moreover, the solutions of the optimal control problems are examined and compared to the findings where the jump sizes are assumed to be constant.
Subject Keywords
Statistics and Probability
,
Geometry and Topology
,
Algebra and Number Theory
,
Analysis
URI
https://hdl.handle.net/11511/56928
Journal
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
DOI
https://doi.org/10.15672/hjms.2019.656
Collections
Graduate School of Applied Mathematics, Article
Suggestions
OpenMETU
Core
Uncertainty assessment for the evaluation of net present value: a mining industry perspective
Erdem, Özge; Demirel, Nuray (2012-05-01)
The investment decisionmaking process in the insurance and finance industries is affected by new advances such as simulation techniques. These advances have improved the discounted cash flow method (DCF). In DCF, a dynamic and flexible model construction is not possible because it does not consider uncertain conditions. Each project should be evaluated taking into account the related uncertainties because the related uncertainties determine the characterization of the project. Related uncertainties can be p...
Assessment of longevity risk: credibility approach
Kestel, Ayşe Sevtap; Yıldırım Külekci, Bükre (2021-05-01)
To correctly measure the effect of mortality rates on the stability of insurance and pension provider's financial risk, longevity risk should be considered. This paper aims to investigate the future mortality and longevity risk with different age structures for different countries. Lee–Carter mortality model is used on the historical census data to forecast future mortality rates. Turkey, Germany, and Japan are chosen concerning their expected life and population distributions. Then, the longevity risk on a...
Utilization of outlier-adjusted lee-carter model in mortality estimation on whole life annuities
Yavrum, Cem; Selçuk Kestel, A. Sevtap.; Department of Actuarial Sciences (2019)
Annuity and its pricing are very critical to the insurance companies for their financial liabilities. Companies aim to adjust the prices of annuity by choosing the forecasting model that fits best to their historical data. While doing it, there may be outliers in the historical data influencing the model. These outliers can be arisen from environmental conditions and extraordinary events such as weak health system, outbreak of war, occurrence of a contagious disease. These conditions and events impact morta...
Robust conditional value–at–risk under parallelpipe uncertainty: an application to portfolio optimization
Kara, Güray; Weber, Gerhard Wilhelm; Department of Financial Mathematics (2016)
In markets with high uncertainties, the trade–off between maximizing expected return and minimizing the risk is one of the main challenges in modeling and decision making. Since investors mostly shape their invested amounts towards certain assets and their risk version level according to their returns; scientists and practitioners has done studies on this subject since the beginning of the stock markets’ establishment. Developments and inventions in the mathematical optimization provide a wide range of solu...
Stability advances in robust portfolio optimization under parallelepiped uncertainty
Kara, Guray; Ozmen, Ayse; Weber, Gerhard Wilhelm (2019-03-01)
In financial markets with high uncertainties, the trade-off between maximizing expected return and minimizing the risk is one of the main challenges in modeling and decision making. Since investors mostly shape their invested amounts towards certain assets and their risk aversion level according to their returns, scientists and practitioners have done studies on that subject since the beginning of the stock markets' establishment. In this study, we model a Robust Optimization problem based on data. We found...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. A. ÖZALP, K. Yildirak, and Y. Yolcu Okur, “Optimal investment strategy and liability ratio for insurer with Levy risk process,”
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
, pp. 1232–1249, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56928.