scholarly journals Internal model for insurers: possibilities and issues

2019 ◽  
Author(s):  
Ilze Zariņa ◽  
Irina Voronova ◽  
Gaida Pettere
Keyword(s):  
Risk Management ◽  
Literature Review ◽  
Life Insurance ◽  
Internal Model ◽  
Solvency Ii ◽  
Insurance Companies ◽  
Management Tool ◽  
Standard Formula ◽  
Risk Aggregation ◽  
The Baltic

Purpose – solvency II framework regulates how much capital the European Union insurance companies must hold. The amount of necessary capital can be calculated using a standard formula or an internal model. On the basis of the review of other authors’ empirical research, the present paper aim at identifying factors that influence necessary capital and propos-ing necessary areas of improvement for the methodology of an internal capital model. Research methodology – to conduct the paper, the authors have used the extended literature review. Analytical methods and comparative methods have been used for the Baltic non-life insurance market analysis. Findings – the Baltic market does not use an internal model even for a major risk – premium and reserve risks. A review of the current literature findings shows that the main weakness of the standard formula is risk aggregation. Research limitations – identified factors apply to non-life insurance companies under the Solvency II framework with a focus on reserve risk. Practical implications – factors are identified that should be implemented in the internal model methodology. The paper will help avoid using internal models as only a modern risk management tool and improve risk profile accuracy. Originality/Value – improvements of the internal model methodology are proposed based on a literature review. The au-thors have identified the main directions, issues and improvement possibilities for reaching modern risk management.

scholarly journals Assessment of the Stability of Insurance Companies: The Case of Baltic Non-Life Insurance Market

2018 ◽  
Vol 32 (1) ◽  
pp. 102-111 ◽  
Author(s):  
Ilze Zariņa ◽  
Irina Voronova ◽  
Gaida Pettere
Keyword(s):  
European Union ◽  
Life Insurance ◽  
Value At Risk ◽  
Risk Measure ◽  
Market Competition ◽  
Solvency Ii ◽  
Insurance Market ◽  
Insurance Companies ◽  
Coverage Ratio ◽  
The Baltic

Abstract The study gives an overview of the Baltic non-life insurance market. The purpose of the research is to summarise stability statistics on solvency ratios, risk profiles and capital surplus, which was contained in Solvency and Financial Condition reports (SFCR) in 2016 published first time by non-life insurance companies in European Union and Baltic market (Latvia, Estonia, and Lithuania). Solvency II came into effect in 2016, and these reports have been prepared using the new requirements of the Solvency II framework. All non-life insurance companies are required to have eligible own funds at least equal to solvency capital requirement (SCR) in order to avoid supervisory intervention (own funds divided by SCR are required to be at least 100 %). The SCR is based on well known risk measure value at risk with 99.5 % confidence level over a one-year time horizon. Baltic non-life insurance companies were strong capitalized (median 155 %) in 2016. It means that all Baltic companies can survive even if 1 in 200 years events have occurred although Baltic solvency coverage ratio is lower than the median ratio in European Union (209 %). For Latvian non-life insurance market, solvency ratio median is the lowest in European Union comparing by countries. The authors have analysed the historical development of the market and have calculated financial ratios, Gini’s concentration index, as well as dissimilarity index. The authors have investigated the current and future internal and external risks and issues for the Baltic non-life insurance market, such as political environment, low-yield environment, and market competition due to new mergers and acquisitions (M&A) activities, and a new rule for accounting for insurance companies IFRS17.

Enterprise risk management and Solvency II: the system of governance and the Own Risk and Solvency Assessment

2020 ◽  
Vol 21 (4) ◽  
pp. 317-332 ◽  
Author(s):  
Pablo Durán Santomil ◽  
Luis Otero González
Keyword(s):  
Risk Management ◽  
Insurance Industry ◽  
Solvency Ii ◽  
Enterprise Risk Management ◽  
Insurance Companies ◽  
Legal Form ◽  
Content Type ◽  
Enterprise Risk ◽  
Solvency Assessment

Purpose The purpose of this paper is to analyze how enterprise risk management (ERM), the system of governance and the Own Risk and Solvency Assessment (ORSA) have been boosted with the entry of Solvency II. Design/methodology/approach For this analysis, the authors have undertaken a survey of chief risk officers (CROs) working in Spanish insurance companies. Findings The results show that Solvency II has definitely promoted ERM in the European insurance industry and improved the system of governance of the insurance companies, and that the perceived value of the ORSA for the companies is higher than the cost. It is clear that the quality of ERM implemented by companies is higher in those that face more complex risks and with greater interdependencies – that is, larger companies, foreign insurers and insurers with several lines of business – but is unaffected by the legal form of the entity (mutual/corporation). Originality/value This study conducts primary research with surveys of CROs and develops a measure of the quality of ERM implemented by insurance companies.

scholarly journals INTERNATIONAL EXPERIENCE IN REGULATING LIFE INSURANCE COMPANIES

2020 ◽  
Vol 6 (4(73)) ◽  
pp. 59-63
Author(s):  
Yu.K. Harakoz
Keyword(s):  
Life Insurance ◽  
Solvency Ii ◽  
Insurance Companies ◽  
Accurate Assessment ◽  
Regulation And Supervision ◽  
Bank Regulation And Supervision ◽  
The Russian Federation ◽  
Insurance Business ◽  
Special Rules ◽  
Business Entities

The growth of the life insurance segment encourages the state supervisory authority for the activities of insurance business entities to create conditions for its sustainable development, including through the introduction of a risk-based approach to the regulation and supervision of insurance companies –the Solvency II Directive. The Solvency II Directive is similar in concept to the risk-based approach to Bank regulation and supervision (Basel II). The expected results of its introduction are an adequateand comprehensive assessment of the risks of the insurance company's activities, compliance of the amount of capital with the level and profile of risks taken, as well as transparency and special rules for disclosure of information about its activities. Increasing growth rates in the insurance market and prospects for increasing the level of supervision by the Central Bank of the Russian Federation require life insurance companies to implement practical methods for assessing their capital, which are based on the most accurate assessment of their risks

scholarly journals Mechanisms of Protection from Interest Rate Risk with Reference to the Life Insurance Market in Montenegro

2018 ◽  
Vol 7 (1) ◽  
pp. 17-42
Author(s):  
Milijana Novović Burić ◽  
Vladimir Kašćelan ◽  
Milivoje Radović ◽  
Ana Lalević Filipović
Keyword(s):  
Risk Management ◽  
Interest Rate ◽  
Life Insurance ◽  
Financial Management ◽  
Financial Stability ◽  
Interest Rate Risk ◽  
Economic Security ◽  
Insurance Market ◽  
Insurance Companies ◽  
Rate Risk

Abstract Insurance companies are facing major challenges that point to the need for control process and risk management. Risk management in insurance has a direct impact on solvency, economic security, and overall financial stability of insurance companies. It is very important for insurance companies to adequately calculate risks to which they are exposed. Asset liability management (ALM), as an integrated approach to financial management, requires simultaneous decision-making about categories and values of assets and liabilities in order to establish the optimum volume and the ratio of assets and liabilities, with the understanding of complexity of the financial market in which financial institutions operate. ALM focuses on a significant number of risks, whereby the emphasis in this paper will be on interest rate risk which indicates potential losses that may reflect in a lower interest margin, a lower value of assets or both, in terms of changes in interest rates. In the above context, the aim of this paper is to show how to protect from interest rate changes and how these changes influence the insurance market in Montenegro, both from the theoretical and the practical point of view. The authors consider this to be an interesting and very important topic, especially because the life insurance market in Montenegro is underdeveloped and subject to fluctuations. Also, taking into account the fact that Montenegro is a country that has been making serious efforts to join the EU, it is expected that insurance companies in Montenegro will strengthen their financial position in the market even using the ALM traditional techniques, which is shown in this paper.

Enterprise risk management for health insurance from an actuarial perspective

2012 ◽  
Vol 17 (2) ◽  
pp. 259-314 ◽  
Author(s):  
G. C. Orros ◽  
J. Smith
Keyword(s):  
Risk Management ◽  
Health Insurance ◽  
Solvency Ii ◽  
Enterprise Risk Management ◽  
Insurance Companies ◽  
Enterprise Risk ◽  
The Face ◽  
Known Unknowns ◽  
Over Time ◽  
Health Insurers

AbstractThis paper focuses on Enterprise Risk Management (ERM) and strategic business management for health insurance companies in our world of ‘unknown unknowns’ and the emergence of unexpected risks over time. It illustrates how Chief Risk Officers (CROs) can focus on ‘risk and opportunity management’ through an ERM framework, and thereby balance risks against opportunities, whilst being resilient against ‘unknown unknowns’ and their emergence over time as ‘known unknowns’ and ‘known knowns’. The paper has been designed to meet the broad requirements of health insurers that would like to implement an ERM framework for the effective risk management of their health insurance lines of business. Risk management for health insurers in the context of Solvency II and broader European Commission regulatory requirements is also discussed. The authors discuss how insurers can develop and apply risk management to build resilience in the face of the storms and shocks that may lie ahead.

scholarly journals Issues of risk margin computation under Solvency II regulatory regime

2021 ◽  
Vol 37 (1) ◽  
pp. 7-40
Author(s):  
Jelena Kočović ◽  
Marija Koprivica
Keyword(s):  
Interest Rates ◽  
Life Insurance ◽  
Solvency Ii ◽  
Capital Cost ◽  
Insurance Companies ◽  
Regulatory Regime ◽  
Risk Margin ◽  
Low Interest Rates

The paper deals with the issues of risk margin computation as an element of technical provisions of Insurers under the Solvency II regulatory regime. Due to a lack of regulatory method for the capital cost, in combination with the low interest rates, the risk margin is set too high and variable, which primarily affects life insurance companies. The paper includes particular proposals for overcoming or mitigating the problem of too high and rate-sensitive risk margin. The proposed solutions include both modifications to the existing capital cost method and abandonment and the replacement of this method by other risk margin computation methods.

scholarly journals The Solvency II Standard Formula, Linear Geometry, and Diversification

2016 ◽  
Author(s):  
Joachim Paulusch
Keyword(s):  
Convex Cone ◽  
Risk Measure ◽  
Positive Semidefinite ◽  
Solvency Ii ◽  
Positive Semidefinite Matrix ◽  
Lp Norm ◽  
Standard Formula ◽  
Risk Aggregation ◽  
Semidefinite Matrix ◽  
Linear Geometry

We introduce the notions of monotony, subadditivity, and homogeneity for functions defined on a convex cone, call functions with these properties diversification functions and obtain the respective properties for the risk aggregation given by such a function. Examples of diversification functions are given by seminorms, which are monotone on the convex cone of non-negative vectors. Any Lp norm has this property, and any scalar product given by a non-negative positive semidefinite matrix as well. In particular, the Standard Formula is a diversification function, hence a risk measure that preserves homogeneity, subadditivity, and convexity.

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