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Business and Economics > Insurance

You are looking at 1 - 4 of 4 items for :

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Cover Technical Assistance Reports
Principality of Andorra: Technical Assistance Report-Report on External Sector Statistics Mission (September 4–15, 2023)
International Monetary Fund. Statistics Dept.
A technical assistance (TA) mission on external sector statistics (ESS) was conducted for the Andorran Statistics Department (ASD) in the Principality of Andorra in September 2023. The mission focused on preparing plans to improve the frequency of producing balance of payments statistics and international investment position (IIP) from annual to quarterly and to enhance the coverage and quality of the balance of payments and IIP data. The mission assisted the ASD in establishing the framework of the quarterly enterprise survey, which will be used as one of the main source data for compiling balance of payments statistics and IIP quarterly.
Keywords:
Principality of Andorra; balance of payments; international investment position.; IMF's Statistics Department; enterprise survey; IIP quarterly; IMF executive directors; ad IIP; International investment position; Balance of payments statistics; Income; Insurance
Cover Policy Papers
2021 Comprehensive Surveillance Review— Background Paper on The Surveillance Priority Confronting Risks and Uncertainties
International Monetary Fund. Strategy, Policy, & Review Department
The coverage of risks has become more systematic since the Global Financial Crisis (GFC): staff reports now regularly identify major risks and provide an assessment of their likelihood and economic impact, summarized in Risk Assessment Matrices (RAM). But still limited attention is paid to the range of possible outcomes. Also, risk identification is useful only so much as to inform policy design to preemptively respond to relevant risks and/or better prepare for them. In this regard, policy recommendations in surveillance could be richer in considering various risk management approaches. To this end, progress is needed on two dimensions: • Increasing emphasis on the range of potential outcomes to improve policy design. • Encouraging more proactive policy advice on how to manage risks. Efforts should continue to leverage internal and external resources to support risk analysis and advice in surveillance.
Keywords:
baseline policy advice; fund surveillance; risk analysis; risk identification; policy recommendation; Insurance; Contingency planning; Natural disasters; Global
Cover IMF Staff Country Reports
Bhutan: Technical Assistance Report-SARTTAC Report on National Accounts Statistics Mission
International Monetary Fund. Statistics Dept.
This Technical Assistance Report discusses the findings and recommendations made the IMF mission to assist the Bhutanese authorities in improving estimates of annual GDP, and in developing methods for compiling quarterly GDP estimates. The mission found that the National Statistics Bureau (NSB) is engaged in a range of projects to improve Bhutan’s national accounts statistics. Updated annual GDP statistics signal an improvement in data quality, which should enhance policymakers’ ability to formulate and operationalize evidence-based decisions. Significant improvements to Bhutan’s national accounts statistics can be achieved using a three-step process. The NSB should also keep in mind the need to incorporate methodological and conceptual/definitional revisions during the benchmarking and rebasing process.
Keywords:
ISCR; CR; statistics; GDP; GDP statistics; activities date; TA mission; improvement program; price statistics; Data collection; Insurance companies; Insurance; Asia and Pacific; South Asia
Cover IMF Working Papers
Variance Decomposition Networks: Potential Pitfalls and a Simple Solution
Mr. Jorge A Chan-Lau
Diebold and Yilmaz (2015) recently introduced variance decomposition networks as tools for quantifying and ranking the systemic risk of individual firms. The nature of these networks and their implied rankings depend on the choice decomposition method. The standard choice is the order invariant generalized forecast error variance decomposition of Pesaran and Shin (1998). The shares of the forecast error variation, however, do not add to unity, making difficult to compare risk ratings and risks contributions at two different points in time. As a solution, this paper suggests using the Lanne-Nyberg (2016) decomposition, which shares the order invariance property. To illustrate the differences between both decomposition methods, I analyzed the global financial system during 2001 – 2016. The analysis shows that different decomposition methods yield substantially different systemic risk and vulnerability rankings. This suggests caution is warranted when using rankings and risk contributions for guiding financial regulation and economic policy.
Keywords:
WP; insurance company; life insurance; SHINKONG insurance co Ltd; networks; interconnectedness; systemic risk; regularization techniques; global financial system; variance decomposition; VAR; state bank; partial correlation; BEJNG Co.; SCOR SE; Wells fargo; casualty company Ltd; Erie indemnity Co; Insurance companies; Insurance; Vector autoregression; Commercial banks; Africa; Global; Asia and Pacific