NDLI: Research on Risk Early-Warning System of Social Security Fund Investment

Content Provider	IEEE Xplore Digital Library
Author	Shen Hong Yu Hong
Copyright Year	2007
Description	Author affiliation: Shanghai Univ. of Finance & Econ., Shanghai (Shen Hong; Yu Hong)
Abstract	The social security fund will meet with many risks just like other investors when it enters the capital market. Because the social security is linked to everyone's life, it can not endure heavy losses. As a result, it is very necessary to research how to keep those investment risks away. This paper researches how to establish the early warning system of the investment risk of the social security fund, The goal is to avoid the heavy losses of the fund while invested in the capital market. Mean while it analyzes the systematic risk and non-systematic risk that the social security fund may encounter in the investment process, and then finds out where the relevant risks come from: the market environment, the administration structure of investment and the listed company invested. The early warning system is set up on the early warning index system of risks resources, which can be established by combining the Back propagation artificial neural network with multivariable factor analysis method.
Starting Page	2040
Ending Page	2045
File Size	2689988
Page Count	6
File Format	PDF
ISBN	9787560322780
DOI	10.1109/ICMSE.2007.4422140
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	HARBIN INSTITUTE OF TEC
Subject Keyword	Finance Artificial neural networks investment risk Conference management Financial management Risk analysis social security fund BP neural network model Investments Aging Alarm systems Safety National security
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Integrated Risk Early Warning of Institutional Investors Based on BP Network

The BP neural networks applications in bank credit risk management system

The research on the early-warning system model of Operational Risk for commercial banks based on BP Neural Network analysis

Research on Enterprise CRM Crisis Early-Warning Based on BP Neural Network

Studying on fiscal risk early-warning based on BP neural network

An Early Warning System for Technological Innovation Risk Management Using Artificial Neural Networks

A study on credit risk early warning model of commercial banks based on BP neural network

Application Research of Rough-GA-BP Method in the Real Estate Early-Warning System

Empirical research of agricultural enterprise risk warning based on BP neural network model

Research on Risk Early-Warning System of Social Security Fund Investment

Similar Documents

Integrated Risk Early Warning of Institutional Investors Based on BP Network

The BP neural networks applications in bank credit risk management system

The research on the early-warning system model of Operational Risk for commercial banks based on BP Neural Network analysis

Research on Enterprise CRM Crisis Early-Warning Based on BP Neural Network

Studying on fiscal risk early-warning based on BP neural network

An Early Warning System for Technological Innovation Risk Management Using Artificial Neural Networks

A study on credit risk early warning model of commercial banks based on BP neural network

Application Research of Rough-GA-BP Method in the Real Estate Early-Warning System

Empirical research of agricultural enterprise risk warning based on BP neural network model

Research on Risk Early-Warning System of Social Security Fund Investment