Restructuring performance prediction with a rebalanced and clustered support vector machine-Reference-Cited by-同舟云学术

Restructuring performance prediction with a rebalanced and clustered support vector machine

Published:2018-01-10 Issue:4 Volume:37 Page:437-456
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Li Hui¹^ORCID,Hong Lu-Yao²,Mo Yu-Chang³,Zhu Bang-Zhu⁴,Chang Pei-Chann⁵

Affiliation:

1. College of Tourism and Service Management; Nankai University; Tianjin 300350 China

2. Department of Business; Tobacco Monopoly Administration of Tiantai; Taizhou Zhejiang 317200 China

3. School of Mathematical Sciences; Huaqiao University; Quanzhou Fujian 362021 China

4. Management School; JiNan University; Guangzhou Guangdong 510632 China

5. Department of Information Management; Yuan Ze University; Chunli 32026 Taiwan

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modelling and Simulation

Reference71 articles.

1. Do mergers and acquisitions create value for Turkish target firms? An event study analysis;Akben-Selcuk;Procedia Economics and Finance,2015

2. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy;Altman;Journal of Finance,1968

3. Some clarifications on the DEA clustering approach;Amin;European Journal of Operational Research,2011

4. Mining categorical sequences from data using a hybrid clustering method;Angelis;European Journal of Operational Research,2014

5. Revisiting the merger and acquisition performance of European banks;Asimakopoulos;International Review of Financial Analysis,2013

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online investor attention and firm restructuring performance: Insights from an event-based DEA-Tobit model;Omega;2024-01

2. Optimal threshold of data envelopment analysis in bankruptcy prediction;SORT-STAT OPER RES T;2023

3. Stock Trend Prediction Using Candlestick Pattern;Lecture Notes in Electrical Engineering;2023

4. A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain;Expert Systems with Applications;2022-08

5. Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine;IEEE Access;2022