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Dynamic Financial Analysis (DFA) to Determine the Optimal Level of Equity Capital for Insurance Companies

Dynamic Financial Analysis (DFA) to Determine the Optimal Level of Equity Capital for Insurance Companies
Author: Andreas Schönbächler
Publisher:
Total Pages:
Release: 2015
Genre:
ISBN:

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Risk management techniques have undergone significant changes during the last decades. One new tool that has been established in academic literature and practical application is Dynamic Financial Analysis (DFA). The method allows holistically analysing the financial situation of an insurance company. In this thesis, a DFA-model will be applied to analyse the default probabilities of an insurance company. It will focus on the different impacts of financial and insurance markets on the result of the insurance company. Furthermore, two management strategies will also be implemented in order to analyse the reliability of the model, on the one hand, and on the other hand, to investigate how the management can influence the result of the insurance company. The model will be implemented in MATLAB to ensure the efficiency of the model. With the implementation of the analysis, the aim of the thesis, to analyse different impacts of economic variables on the default probability of an insurance company, was achieved and the results were presented. Moreover, the implemented model also allowed applying other concepts from finance (e.g. Portfolio Theory). As it was the focus in this thesis to analyse the business of a non-life insurance company, it would be of interest to analyse similar impacts for a life insurance company.


Dynamic Financial Analysis

Dynamic Financial Analysis
Author: Martin Eling
Publisher:
Total Pages: 27
Release: 2013
Genre:
ISBN:

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Dynamic financial analysis (DFA) models an insurance company's cash flow in order to forecast assets, liabilities, and ruin probabilities, as well as full balance sheets for different scenarios. In the last years DFA has become an important tool for the analysis of an insurance company's financial situation. The following article considers three aspects: First, we want to show the main drivers why DFA is of special importance today. Second, we classify DFA in the context of asset liability management and analyze its fundamental concepts. However, upon taking a closer look at DFA, we identify several implementation problems that have not yet been adequately considered in the literature. Thus, we finally discuss these areas, in particular the generation of random numbers and the modeling of nonlinear dependencies in a DFA framework.


Proceedings of the Casualty Actuarial Society

Proceedings of the Casualty Actuarial Society
Author: Casualty Actuarial Society
Publisher:
Total Pages: 284
Release: 1923
Genre: Casualty insurance
ISBN:

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List of members for the years 1914-20 are included in v. 1-7, after which they are continued in the Year book of the society, begun in 1922.


Developing a Questionnaire

Developing a Questionnaire
Author: Bill Gillham
Publisher: A&C Black
Total Pages: 124
Release: 2008-01-10
Genre: Education
ISBN: 1441154868

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Developing a Questionnaire: 2nd Edition is a comprehensive guide to the successful design and implementation of questionnaires as a research method. It covers: how, why and when to use questionnaires how to analyse data how to present results how to relate questionnaires to other forms of research. This second edition contains new chapters on the use of questionnaires in surveys, face-to-face questionnaires and telephone interviews.


Optimal Capital Utilization by Financial Firms

Optimal Capital Utilization by Financial Firms
Author: J David Cummins
Publisher:
Total Pages:
Release: 2014
Genre:
ISBN:

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Capitalization levels in the property-liability insurance industry have increased dramatically in recent years - the capital-to-assets ratio rose from 25% in 1989 to 35% by 1999. This paper investigates the use of capital by insurers to provide evidence on whether the capital increase represents a legitimate response to changing market conditions or a true inefficiency that leads to performance penalties for insurers. We estimate quot;best practicequot; technical, cost, and revenue frontiers for a sample of insurers over the period 1993-1998, using data envelopment analysis, a non-parametric technique. The results indicate that most insurers significantly over-utilized equity capital during the sample period. Regression analysis provides evidence that capital over-utilization primarily represents an inefficiency for which insurers incur significant revenue penalties.


Dynamic Financial Analysis

Dynamic Financial Analysis
Author:
Publisher:
Total Pages: 22
Release: 2003
Genre: Business enterprises
ISBN:

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