Innovations in Insurance Markets: Hybrid and Securitized Risk-Transfer Solutions

2013 ◽  
pp. 547-602 ◽  
Author(s):  
J. David Cummins ◽  
Pauline Barrieu
Keyword(s):  
Insurance Markets ◽  
Risk Transfer

Catastrophic Risk, the Disequilibrium of Agricultural Insurance Markets and Reinsurance - Based on the Data from Hubei

2013 ◽  
Vol 798-799 ◽  
pp. 846-850
Author(s):  
Hui Ru Xing ◽  
Jiang Ping Tao ◽  
Wei Zhao
Keyword(s):  
Agricultural Production ◽  
Insurance Market ◽  
Insurance Companies ◽  
Insurance Markets ◽  
Insurance Risk ◽  
Agricultural Insurance ◽  
The Sustainable Development ◽  
Catastrophic Risk ◽  
Risk Transfer ◽  
Transfer Mechanisms

Catastrophic risk existing objectively in agricultural production is the main cause for the imbalance of the agricultural insurance markets, and to promote the sustainable development of the agricultural insurance, it is necessary to improve the agricultural insurance risk transfer mechanisms. Under the condition of farms and insurance companies expected utility maximum, we develop an agricultural insurance market equilibrium model based on the M-V preference function, and then demonstrate that catastrophic risk leads to the imbalance in the agricultural insurance market. Insurance companies involved in reinsurance arrangements helps rectify the imbalances in agricultural insurance market. Based on this analysis we verify the development of Hubeis agricultural insurance market, and then simulate the reinsurance arrangement of Hubei agricultural insurance. The theoretic and empirical analysis has an implication for the design of agricultural insurance catastrophe risk transfer tools.

scholarly journals Risk Affection and Transmission of News of Conditional Volatility from the Non-Life to Life Insurance Sector

2020 ◽  
pp. 77-86
Author(s):  
Apostolos Kiohos
Keyword(s):  
Life Insurance ◽  
Bad News ◽  
Good News ◽  
Insurance Companies ◽  
Insurance Markets ◽  
Leverage Effect ◽  
Conditional Volatility ◽  
Risk Transfer ◽  
Insurance Sector ◽  
Management Procedure

Non- Life and Life Insurance companies are the main expedients of risk transfer and risk management procedure in the economy and the society. This paper examines, in eight worldwide advanced insurance markets, whether there are transmissions of news of conditional volatility from the non-life to life insurance sector. The reason is that, regularly, non-life insurance risks have higher volatility and they are less predictable than life insurance risks. A GJR - GARCH model is used to test these relationships for the period January 1st 1990 to June 28th 2019 using daily trading observations for each listed insurance index. The results suggest that the French and the Australian non-life insurance sectors influence their life insurance sectors to a greater extent than the other countries insurance indices under study. There is also evidence that the leverage effect indicates that bad news concerning the non-life insurance index shows a more intense impact on the volatility of the life insurance index than the good news in the majority of the countries under study. However, bad and good news are symmetrical in French and Australian insurance markets.

Risk Transferin Public Private Partnership/Private Finance Initiative Procurement Documents:The Differencebetween The United Kingdom and Malaysia

2016 ◽  
Vol 4 (4) ◽  
pp. 30
Author(s):  
Nooriha Abdullah ◽  
Darinka Asenova ◽  
Stephen J. Bailey
Keyword(s):  
United Kingdom ◽  
Public Procurement ◽  
Research Question ◽  
Public Private Partnership ◽  
Private Finance Initiative ◽  
Private Partnership ◽  
Risk Transfer ◽  
Private Finance ◽  
The United Kingdom ◽  
The Uk

The aim of this paper is to analyse the risk transfer issue in Public Private Partnership/Private Finance Initiative (PPP/PFI) procurement documents in the United Kingdom (UK) and Malaysia. It utilises qualitative research methods using documentation and interviews for data collection. The UK documents (guidelines and contracts) identify the risks related to this form of public procurement of services and makeexplicittheappropriateallocation of those risks between the public and the private sector PPP/PFI partners and so the types of risks each party should bear. However, in Malaysia, such allocation of risks was not mentioned in PPP/PFI guidelines. Hence, a question arises regarding whether risk transfer exists in Malaysian PPP/PFI projects, whether in contracts or by other means. This research question is the rationale for the comparative analysis ofdocumentsand practicesrelatingtorisk transfer in the PPP/PFI procurements in both countries. The results clarify risk-related issues that arise in implementing PPP/PFI procurement in Malaysia, in particular how risk is conceptualised, recognised and allocated (whether explicitly or implicitly), whether or not that allocation is intended to achieve optimum risk transfer, and so the implications forachievement ofvalue for moneyor other such objectivesinPPP/PFI.

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

Tools for Investing in the “Green” Economy: World Experience and Prospects in Russia

2020 ◽  
pp. 46-50
Author(s):  
N.I. Chovgan ◽  
◽  
O.S. Akupiyan ◽  
Keyword(s):  
Financial Market ◽  
Financial Institutions ◽  
Capital Market ◽  
Capital Flows ◽  
Green Economy ◽  
Financial Resources ◽  
Insurance Markets ◽  
Market Mechanisms ◽  
Research Areas ◽  
Reproduction Process

The development of the modern capital market and innovative technologies, including in the financial sector, creates the need to expand the research areas of the reproduction process and individual mechanisms that support it. Financial institutions are constantly required participants in responsible financing. Investors’ expectations regarding investments in environmental production and technologies reorient capital flows to these areas, and schemes for attracting financial resources and distributing risks in the process of implementing the principles of sustainable development are considered as unified. The article analyzes transformations and reviews the existing experience of forming appropriate mechanisms, justifies the functioning of the most effective ones. Among the investment and financial mechanisms of the “green” economy, the most important are budget investment mechanisms and financial market mechanisms. The mechanisms of the stock, credit and insurance markets are identified as components of the financial market mechanisms.

Credit Risk Transfer and the Forecasting of Bank Defaults

2009 ◽  
Author(s):  
Giovanni Calice ◽  
Christos Ioannidis ◽  
Julian M. Williams
Keyword(s):  
Credit Risk ◽  
Risk Transfer ◽  
Credit Risk Transfer
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