Analysing forward-looking statements in initial public offering prospectuses: a text analytics approach-Reference-Cited by-同舟云学术

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Analysing forward-looking statements in initial public offering prospectuses: a text analytics approach

Published:2018-01-02 Issue:1 Volume:1 Page:54-70
ISSN:2573-234X
Container-title:Journal of Business Analytics
language:en
Short-container-title:Journal of Business Analytics

Author:

Tao Jie¹,Deokar Amit V.²,Deshmukh Ashutosh³

Affiliation:

1. Information Systems & Operations Management Department, Dolan School of Business, Fairfield University, Fairfield, CT, USA

2. Department of Operations & Information Systems, Manning School of Business, University of Massachusetts Lowell, Lowell, MA, USA

3. Department of Accounting & MIS, Black School of Business, Pennsylvania State University, The Behrend College, Erie, Pennsylvania, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Information Systems,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/2573234X.2018.1507604

Reference38 articles.

1. Permutation importance: a corrected feature importance measure

2. The Effects of Ambiguous Information on Initial and Subsequent IPO Returns

3. Evaluating multiple classifiers for stock price direction prediction

4. Analyzing initial public offerings' short-term performance using decision trees and SVMs

5. Annual Report Readability, Tone Ambiguity, and the Cost of Borrowing

Cited by 9 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. ‘Making text talk’: The minutes of the Central Bank of Brazil and the real economy;Journal of International Money and Finance;2024-09

2. Predicting IPO Performance from Prospectus Sentiment;BCP Business & Management;2023-03-02

3. Assessment of firm’s Performance by Employing Text Mining Techniques;Algorithms for Intelligent Systems;2023

4. Digital Industry Financial Risk Early Warning System Based on Improved K-Means Clustering Algorithm;Computational Intelligence and Neuroscience;2022-05-28

5. Smart Beta and Risk Factors Based on Textural Data and Machine Learning;Alternative Data and Artificial Intelligence Techniques;2022

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