scholarly journals Dynamic Financial Analysis in the Insurance Industry

2009 ◽  
Vol 34 (2) ◽  
pp. 175-196
Author(s):  
Yung-Ming Shiu
Keyword(s):  
Financial Analysis ◽  
Insurance Industry ◽  
Dynamic Financial Analysis

Use of Dynamic Financial Analysis and Financial Condition Reporting by United Kingdom General Insurers

2006 ◽  
Vol 1 (1) ◽  
pp. 79-101 ◽  
Author(s):  
Y. Shiu ◽  
P. Moles
Keyword(s):  
United Kingdom ◽  
Financial Analysis ◽  
Insurance Industry ◽  
Financial Condition ◽  
Guidance Note ◽  
The United Kingdom ◽  
General Insurance ◽  
Survey Results ◽  
Dynamic Financial Analysis ◽  
Scenario Testing

ABSTRACTThis paper presents the findings of a survey of the current Dynamic Financial Analysis (DFA)/Financial Condition Report (FCR) practices in the United Kingdom general insurance industry. An independent samples t test for non-respondent bias was conducted, and the results suggest that the respondent sample is representative of the survey population. The survey results revealed: (1) that the use of DFA techniques in the industry was limited; (2) that scenario testing was the most frequently used technique; (3) that the most common DFA application was the evaluation of reinsurance programmes; (4) that less than ten scenarios were run regularly; (5) that inflation was the most frequently modelled economic variable; (6) that the capability of asset modelling of general insurers was restricted; (7) that the most common method of liability modelling was to use all in force policies in aggregate; (8) that the most common projection periods in DFA and business planning were three years; (9) that the main reason for not using DFA techniques and producing FCR was lack of need; and (10) that views on whether a Guidance Note on FCR specifically for general insurers should be introduced differed.

scholarly journals Introduction to Dynamic Financial Analysis

2001 ◽  
Vol 31 (1) ◽  
pp. 213-249 ◽  
Author(s):  
Roger Kaufmann ◽  
Andreas Gadmer ◽  
Ralf Klett
Keyword(s):  
Financial Analysis ◽  
Insurance Industry ◽  
Mathematical Language ◽  
Model Framework ◽  
Mathematical Concepts ◽  
Software Products ◽  
Explicit Reference ◽  
Individual Needs ◽  
Dynamic Financial Analysis

AbstractIn the last few years we have witnessed growing interest in Dynamic Financial Analysis (DFA) in the nonlife insurance industry. DFA combines many economic and mathematical concepts and methods. It is almost impossible to identify and describe a unique DFA methodology. There are some DFA software products for nonlife companies available in the market, each of them relying on its own approach to DFA. Our goal is to give an introduction into this field by presenting a model framework comprising those components many DFA models have in common. By explicit reference to mathematical language we introduce an up-and-running model that can easily be implemented and adjusted to individual needs. An application of this model is presented as well.

scholarly journals Analisis Komposisi Ideal Dana Tabarru’-Ujrah Metode Dynamic Financial Analysis Perusahaan Asuransi Jiwa Syariah Di Indonesia

2017 ◽  
Vol 3 (2) ◽  
pp. 158
Author(s):  
Billy Purwocaroko N ◽  
Noven Suprayogi
Keyword(s):  
Life Insurance ◽  
Financial Analysis ◽  
Insurance Industry ◽  
Secondary Data ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Ideal Composition ◽  
Dynamic Financial Analysis ◽  
The Ideal

The aim of this study was to determine the ideal composition of tabarru'-ujrah fund on Sharia Life Insurance company in Indonesia through Dynamic Financial Analysis method. This research is a quantitative with a simulation approach. The simulation model was Monte Carlo simulation. The data using a secondary data from the financial statements of insurance sharia life insurance companies published between 2012-2014. There are two variables that influence the formation of the composition tabarru’ the claims and Retakaful. The results of this study indicate that the ideal composition tabarru'-ujrah funds obtained amounted to 68.73%: 31.27%. The phenomenon that occurs is the composition tabarru’ which showed a reading below 50%, the life insurance industry sharia set much ujrah in every contribution at the time of composition claims and Retakaful in a low position, and ROI DPS received until the end of the forecasting declining and even minus.

scholarly journals An Integrated Dynamic Financial Analysis and Decision Support System for a Property Catastrophe Reinsurer

1997 ◽  
Vol 27 (2) ◽  
pp. 339-371 ◽  
Author(s):  
Stephen P. Lowe ◽  
James N. Stanard
Keyword(s):  
Decision Making ◽  
Financial Analysis ◽  
Analysis Model ◽  
Conceptual Approach ◽  
Risk And Return ◽  
Management Processes ◽  
Dynamic Financial Analysis ◽  
Day To Day Operations ◽  
Decision Making Tool

AbstractThis paper describes the dynamic financial analysis model currently being used by a property catastrophe reinsurer to manage its business. The model is-an integral part of the day-to-day operations at the Company, and is used as a decision making tool in the underwriting, investment, and capital management processes. The paper begins by describing the framework that the Company uses for risk management. This includes a classification of the risks facing the Company, which is used to define and prioritize their implementation in the model. Also included is a description of the conceptual approach the Company takes to evaluate the tradeoff between risk and return. The paper then goes on to describe the structure and operation of the dynamic financial analysis model and provides examples of its use at the Company, along with illustrative examples of the various types of output it produces.

Dynamic financial analysis for multinational insurance companies

2008 ◽  
pp. 543-590
Author(s):  
John M. Mulvey ◽  
Bill Pauling ◽  
Stephen Britt ◽  
François Morin
Keyword(s):  
Financial Analysis ◽  
Insurance Companies ◽  
Dynamic Financial Analysis

scholarly journals Financial analysis of the South African life insurance sector - An empirical decomposition of economic value added

2016 ◽  
Vol 9 (3) ◽  
pp. 903-926
Author(s):  
Paul Alagidede ◽  
Takalani Mangenge
Keyword(s):  
Life Insurance ◽  
Asset Management ◽  
Financial Analysis ◽  
Insurance Industry ◽  
Economic Value ◽  
Value Added ◽  
Principal Component ◽  
Economic Value Added ◽  
Value Drivers ◽  
Insurance Sector

This article examines the determinants of economic value added (EVA) in insurance industries. It addresses the key components of EVA, the value drivers that are more important in managing economic value and the combination of these value drivers that best explain EVA as a group. The study covers the life insurance sector in South Africa, specifically focusing on the big five companies: Discovery Holdings, Liberty Holdings, MMI Holdings, Old Mutual plc, and Sanlam Ltd for the period 2004-2014. Variance and principal component analyses are used to identify the main drivers of EVA. Five main drivers were prominent, namely: underwriting, asset management, costs, opportunity cost and strategic investments. The implications of the results for best practice in the insurance industry are discussed.

Sign in / Sign up

Export Citation Format

Share Document