Comparing Solvency II and Life and General Insurance Capital approaches to capital determination of a life portfolio in the presence of stress scenarios

2018 ◽  
Vol 13 (1) ◽  
pp. 36-66
Author(s):  
Kangjing Tan ◽  
Aaron Bruhn
Keyword(s):  
Risk Management ◽  
Solvency Ii ◽  
Capital Requirements ◽  
Life Insurers ◽  
General Insurance ◽  
Pillar Structure ◽  
Matching Adjustment ◽  
The Impact ◽  
Capital Intensive

AbstractThe European-centric Solvency II and Australian-centric Life and General Insurance Capital regimes are two examples of risk-based approaches to capital determination and risk management for life insurers. Both consist of a three-pillar structure covering capital, risk management and disclosure requirements. We apply the capital requirements of each regime to three synthetic sets of insurance policies, including a risk, annuity and combined portfolios, and consider the impact on capital arising from three separate and relatively severe stress events. Results highlight the relatively capital intensive nature of annuities, the differences between different capital regimes, the significance of solvency II’s matching adjustment and the robustness of each regime to both pandemic and economic stresses. Results also highlight the nature of diversification benefits from within each capital regime, on overall capital requirements.

scholarly journals A review of Solvency II: Has it met its objectives?

2018 ◽  
Vol 23 ◽  
Author(s):  
R. A. Rae ◽  
A. Barrett ◽  
D. Brooks ◽  
M. A. Chotai ◽  
A. J. Pelkiewicz ◽  
...  
Keyword(s):  
Risk Management ◽  
Financial Stability ◽  
Working Party ◽  
Solvency Ii ◽  
Capital Requirements ◽  
Insurance Companies ◽  
Original Design ◽  
Risk Margin ◽  
The Impact ◽  
Market Consistency

AbstractSolvency II is currently one of the most sophisticated insurance regulatory regimes in the world. It is built around the principles of market consistency and embedding strong risk management and governance within insurance companies. For business with long-term guarantees, the original basis produced outcomes that were unacceptable to the member states. The original design was amended through Omnibus II. The working party has looked back at the outcome of the final regulation and comments on how well Solvency II has fared, principally from a UK perspective, relative to its initial goals of improved consumer protection, harmonisation, effective risk management and financial stability. We review Pillar 1’s market consistent valuation (including the risk margin and transitional measures) as well as the capital requirements (including internal models). We look at the impact this has on asset and liability management, pro-cyclicality and product design. We look at Pillars 2 and 3 in respect of the Own Risk and Solvency Assessment, liquidity and disclosure. Finally, we stand back and look at harmonisation and the implications of Brexit. In summary we conclude that Solvency II represents a huge improvement over Solvency I although it has not fully achieved the goals it aspired to. There are acknowledged shortfalls and imperfections where adjustments to Solvency II are likely. There remain other concerns around pro-cyclicality, and the appropriateness of market consistency is still open to criticism. It is hoped that the paper and the discussion that goes with it provide an insight into where Solvency II has taken European Insurance regulation and the directions in which it could evolve.

Quantitative Risk Management Models for Newsvendor Supply Chains

2011 ◽  
pp. 155-170
Author(s):  
Dimitrios Vlachos
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Stochastic Environment ◽  
Supply Chain Disruptions ◽  
Supply Chain Networks ◽  
Starting Point ◽  
The Impact ◽  
A Company

As the practices of offshoring and outsourcing force the supply chain networks to keep on expanding geographically in the globalised environment, the logistics processes are becoming more exposed to risk and disruptions. Thus, modern supply chains seem to be more vulnerable than ever. It is clear that efficient logistics risk and security management emerges as an issue of pivotal importance in such competitive, demanding and stochastic environment and is thus vital for the viability and profitability of a company. In this context, this chapter focuses on a set of stochastic quantitative models that study the impact of one or more supply chain disruptions on optimal determination of single period inventory control policies. The purpose of this research is to provide a critical review of state-of-the-art methodologies to be used as a starting point for further research efforts.

scholarly journals The impact of lending on bancassurance activity

2019 ◽  
Vol 13 (1) ◽  
pp. 171-181
Author(s):  
Elda Marzai Abliz
Keyword(s):  
Negative Impact ◽  
Distribution Channel ◽  
Solvency Ii ◽  
Capital Requirements ◽  
Financial Supervision ◽  
Insurance Companies ◽  
Insurance Company ◽  
Customer Base ◽  
Premium Income ◽  
The Impact

Abstract Due to financial crisis, and especially because of prudence in lending (retail, micro, and corporate), banks are looking for new sources of income, and bancasurance is clearly a potential source of revenue. Thus, in the financial market, the interests of two major components of it are met: banks maximize commission income, and insurers make access to the large customer base of banks. Bancassurance is a distribution channel of insurance products through bank branches, bringing important advantages for banks, insurance companies and customers. The main advantage for the bank is that earns fee amount from the insurance company, the insurance company increases customers data base and market share, the client satisfy his financial needs and requests in the same institution. Considering that in Romania, banks and insurers do not provide information on the number of insurances sold via the bancassurance distribution channel, as well as commissions obtained by banks for the insurance sale, to determine the development of bancassurance in Romania, we used the statistical data provided by the National Bank of Romania, on credit growth and data provided by The Financial Supervision Association, on the evolution of gross written premiums. Bancassurance is one of the most important insurance distribution channels, accounting for approximately 36% of the global insurance market, in 2016, Europe’s insurers generated total premium income of €1 189bn and had €10 112bn invested in the economy. Regarding to the risks of bancassurance business for banks and insurers, they mainly concern distinct capital requirements for the banking and insurance systems, which will be covered by the Basel III and Solvency II directives. This paper aims to analyze the influence of credit on the bancassurance activity in the last 5 years in Romania, the economic, political and legal factors that have a negative impact on the development of bancassurance, and also the calculating the correlation coefficient r (Pearson’s coefficient) and his result.

scholarly journals Dampak Pandemi Covid-19 terhadap Tenaga Kerja Formal di Indonesia

Populasi ◽  
2021 ◽  
Vol 28 (2) ◽  
pp. 52
Author(s):  
Dewi Middia Martanti ◽  
Florentz Magdalena ◽  
Natalia Pipit D. Ariska ◽  
Nia Setiyawati ◽  
Waydewin C. B. Rumboirusi
Keyword(s):  
World Economy ◽  
Virus Disease ◽  
Secondary Data ◽  
Work Study ◽  
Formal Sector ◽  
Global Pandemic ◽  
Informal Labour ◽  
The Impact ◽  
Capital Intensive

Even though the informal labour still dominates Indonesia workforce, the trend of formal labour increases each year. BPS data shows that in 2015, the percentage of formal labor reached 42,25 percent. Then it increased to 44,28 percent in 2019. As a capital-intensive sector, formal sector supports economy of Indonesia, because it is relatively safe or less prone to shut down. However, the determination of the global pandemic status on March 11, 2020 due to Corona Virus Disease (Covid-19) has hit the world economy, including Indonesia. To suppress the spread of Covid-19, people are asked to work, study, or pray from home. This causes many companies suffer losses and even close their businesses, thus impacting workers. Based on data from the Ministry of Manpower 13 April 2020 as many as 1.2 million formal labour have been furloughed and 212.4 thousand have been laid off. This study aims to observe the trends of formal labour in Indonesia and the impact of Covid-19 on formal labour in Indonesia. This study uses secondary data obtained from various sources which are analyzed descriptively.

scholarly journals Modelling Outstanding Claims with Mixed Compound Processes in Insurance

2019 ◽  
Vol 12 (3) ◽  
pp. 123
Author(s):  
Gian Paolo Clemente ◽  
Nino Savelli ◽  
Diego Zappa
Keyword(s):  
Solvency Ii ◽  
Capital Requirement ◽  
General Insurance ◽  
Run Off ◽  
Mixed Poisson Process ◽  
Mixed Compound ◽  
Future Loss ◽  
Reserve Capital ◽  
The Impact

In general insurance, measuring the uncertainty of future loss payments and estimating the claims reserve are primary goals of actuaries. To deal with these tricky tasks, a broad literature is available on deterministic and stochastic approaches, most of which aims at straightforwardly modelling the overall claims reserve. In this paper by an extended, very general and reproducible case-study, we analyze the reserving process by attributing to each cell of the lower part of the run-off triangle a Compound mixed Poisson Process, calibrated upon both the numbers of claims and future average costs and considering as well the dependence among incremental claims. We provide analytically the moments of both incremental payments and the total reserve. Furthermore, we accordingly consider the probability distribution of the claims reserve, which is necessary for the assessment of the Risk Reserve capital requirement in a Solvency II framework. To test the impact of the model under different scenarios, insurers and lines of business, the case study is thoroughly analyzed by exploiting the Fisher-Lange average cost method.

LONGEVITY RISK MANAGEMENT AND SHAREHOLDER VALUE FOR A LIFE ANNUITY BUSINESS

2016 ◽  
Vol 47 (1) ◽  
pp. 43-77 ◽  
Author(s):  
Craig Blackburn ◽  
Katja Hanewald ◽  
Annamaria Olivieri ◽  
Michael Sherris
Keyword(s):  
Risk Management ◽  
Shareholder Value ◽  
Capital Requirements ◽  
Demand Elasticity ◽  
Longevity Risk ◽  
Risk Transfer ◽  
Life Annuity ◽  
Life Insurer ◽  
The Cost ◽  
The Impact

AbstractThe life annuity business is heavily exposed to longevity risk. Risk transfer solutions are not yet fully developed, and when available they are expensive. A significant part of the risk must therefore be retained by the life insurer. So far, most of the research work on longevity risk has been mainly concerned with capital requirements and specific risk transfer solutions. However, the impact of longevity risk on shareholder value also deserves attention. While it is commonly accepted that a market-consistent valuation should be performed in this respect, the definition of a fair shareholder value for a life insurance business is not trivial. In this paper, we develop a multi-period market-consistent shareholder value model for a life annuity business. The model allows for systematic and idiosyncratic longevity risk and includes the most significant variables affecting shareholder value: the cost of capital (which in a market-consistent setting must be quantified in terms of frictional and agency costs, net of the value of the limited liability put option), policyholder demand elasticity and the cost of alternative longevity risk management solutions, namely indemnity-based and index-based solutions. We show how the model can be used for assessing the impact of different longevity risk management strategies on life insurer shareholder value and solvency.

scholarly journals Role of the Pension Protection Fund in financial risk management of UK defined benefit pension sector: a multi-period economic capital study

2014 ◽  
Vol 9 (1) ◽  
pp. 134-166 ◽  
Author(s):  
Wei Yang ◽  
Pradip Tapadar
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Capital Requirements ◽  
Economic Capital ◽  
Defined Benefit ◽  
Policy Makers ◽  
Financial Risk Management ◽  
The United Kingdom ◽  
Pension Schemes ◽  
The Impact

AbstractWith the advent of formal regulatory requirements for rigorous risk-based, or economic, capital quantification for the financial risk management of banking and insurance sectors, regulators and policy-makers are turning their attention to the pension sector, the other integral player in the financial markets. In this paper, we analyse the impact of applying economic capital techniques to defined benefit pension schemes in the United Kingdom. We propose two alternative economic capital quantification approaches, first, for individual defined benefit pension schemes on a stand-alone basis and then for the pension sector as a whole by quantifying economic capital of the UK’s Pension Protection Fund, which takes over eligible schemes with deficit, in the event of sponsor insolvency. We find that economic capital requirements for individual schemes are significantly high. However, we show that sharing risks through the Pension Protection Fund reduces the aggregate economic capital requirement of the entire sector.

scholarly journals PRUDENT DECISIONS TO ESTIMATE THE RISK OF LOSS IN INSURANCE

2017 ◽  
Vol 23 (2) ◽  
pp. 428-440 ◽  
Author(s):  
Casian BUTACI ◽  
Simona DZITAC ◽  
Ioan DZITAC ◽  
Gabriela BOLOGA
Keyword(s):  
Internal Model ◽  
Empirical Distribution ◽  
Solvency Ii ◽  
Capital Requirements ◽  
Value Theory ◽  
Theory Approach ◽  
Financial Assets ◽  
European Directive ◽  
Insurance Issue

The directive 2009/138/EC „Solvency II”, provides the determination of insurance capital requirements based either on a standard formula or an internal model built by the company and approved by the regulatory authority. The build of an internal model involves the determination of an extreme quantile from the empirical distribution of portfolio. An estimate of this quantile, with a 99.5% confidence level, requires a large number of simulations, each taking into account different scenarios as: insufficient reserves, unfavourable developments of financial assets, etc. The present paper proposes to argue the necessity of the extreme value theory approach in order to estimate the risk of loss for the insurance issue, in accordance with European Directive „Solvency II”, from the perspective of making prudent decisions for the assessment of insurance capital requirements.

Sign in / Sign up

Export Citation Format

Share Document