NDLI: Financial characteristics and prediction on targets of M&A based on SOM- Hopfield neural network

Content Provider	IEEE Xplore Digital Library
Author	Liu Hongjiu Chen Huimin Hu Yanrong
Copyright Year	2007
Description	Author affiliation: Changshu Inst. of Technol., Changsha (Liu Hongjiu; Chen Huimin; Hu Yanrong)
Abstract	In this paper, we apply self-organized mapping (SOM) and Hopfield neural network to cluster and predict the target of mergers and acquisitions. Financial characteristics of six sorts of targets are shown with low profitability, bad operation and good solvency very evidently by clustering of SOM. After calculating the means of variables of every sort, we build Hopfield network to predict the sort of targets and non-targets according to the means. Demonstration indicates Hopfield network can be used as prediction although accuracy of target selection is 80.69%, and non-target is 61.33 on the average. The reason is that financial data is not the only influence factors, many un-financial factor also have effect on the prediction.
Starting Page	80
Ending Page	84
File Size	411276
Page Count	5
File Format	PDF
ISBN	9781424415281
DOI	10.1109/IEEM.2007.4419155
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-02
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Corporate acquisitions Statistical analysis Profitability self-organized mapping neural network Data security Financial management Hopfield neural network Accuracy Neural networks Hopfield neural networks financial characteristics Mergers & acquisitions Marketing and sales Analysis of variance
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