Online estimation for a predictive analytics platform with a financial-stability-analysis application

2020 ◽  
Author(s):  
Xing Gu ◽  
Rogemar Mamon ◽  
Thibaut Duprey ◽  
Heng Xiong
Keyword(s):  
Stability Analysis ◽  
Financial Stability ◽  
Predictive Analytics ◽  
Online Estimation ◽  
Analysis Application

WHY ARE THE G-20 DATA GAPS INITIATIVE AND THE SDDS PLUS RELEVANT FOR FINANCIAL STABILITY ANALYSIS?

2013 ◽  
Vol 04 (03) ◽  
pp. 1350018 ◽  
Author(s):  
ROBERT HEATH
Keyword(s):  
Stability Analysis ◽  
Central Bank ◽  
International Monetary Fund ◽  
Financial Stability ◽  
Data Dissemination ◽  
Data Sets ◽  
Global Crisis ◽  
Close Link ◽  
Data Gaps ◽  
The International Monetary Fund

In the wake of the recent global crisis, the international community is giving an increased focus on stability of the financial system. With the increasing need for data sets to undertake this analysis, the question naturally arises as to what types of data are needed? While various data initiatives are underway, two initiatives at the forefront are: (1) the International Monetary Fund/Financial Stability Board Group of Twenty (IMF/FSB G-20) Data Gaps Initiative (DGI) which is endorsed by the G-20 Finance Ministers and Central Bank Governors as well as the IMF's International Monetary and Financial Committee and (2) the new Special Data Dissemination Standard (SDDS) Plus, aimed particularly at economies with systemically important financial sectors. This paper explains the relevance of the DGI for financial stability analysis and the close link with the SDDS Plus.

scholarly journals Statistics and Indicators for Financial Stability Analysis and Policy

2013 ◽  
Author(s):  
Jean Marc Israel ◽  
Patrick Sandars ◽  
Aurel Schubert ◽  
Björn Fischer
Keyword(s):  
Stability Analysis ◽  
Financial Stability

scholarly journals Financial Stability Analysis: What are the Data Needs?

2017 ◽  
Author(s):  
Robert Heath ◽  
Evrim Bese Goksu
Keyword(s):  
Stability Analysis ◽  
Financial Stability

scholarly journals Financial stability analysis and forecasting insurance market of Russia

2021 ◽  
Vol 296 ◽  
pp. 06013
Author(s):  
Mikhail K. Chernyakov ◽  
Olesya V. Usacheva ◽  
Natalia I. Aksenova ◽  
Saidmuktori Mukhtorzada
Keyword(s):  
Stability Analysis ◽  
Financial Stability ◽  
Insurance Market ◽  
Insurance Companies ◽  
Prospective Analysis ◽  
Real Sector ◽  
Loss Ratio ◽  
Insurance Sector ◽  
Debt Burden ◽  
Coefficient Method

The article investigates the influence of various parameters and coefficients on financial stability, groups the factors according to their degree of influence and highlights the most significant for the insurance sector. We assumed the existence of a relationship between financial stability and indicators of debt burden, capital stock for meeting obligations, ratio of receivables and payables, expense ratio and loss ratio. The hypothesis was substantiated by analyzing investment investments of insurance companies in the real sector of the economy using the coefficient method and a prospective analysis of the paradoxical theory of regulation.

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