Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 1


Published
on

April 10, 2023


Pages

1179-1190


DOI

Article

The analysis method of the impact of missing audit information on the securities investment decisions based on Logistic regression models

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Authors

Wenjie Ren Affiliation:
China Railway First Survey and Design Institute Group Co., Ltd., Xi’an, Shaanxi 710000, China


Abstract

To identify the influence of the lack of audit information on the decision-making of securities investment, a method to analyse the impact of missing audit information on the decision-making of securities investment based on two Logistic regression models was proposed in this paper. Assumptions about the impact of missing audit information on decision-making of investment were developed. Two Logistic regression models were established to analyse the impact by using Logistic regression functions. Variables in analysis models were designed to solve the Logistic regression models with an ADMM algorithm, so as to analyse the impact of missing audit information on the decision-making of securities investment. The analysis of the impact of missing audit information on the securities investment decisions based on two selected models yielded the following results: (1) The lack of audit information was positively correlated with other decisions except the standard effective securities investment decisions; (2) To improve the problem of audit information missing, as the time went on, there was a strong correlation between the lack of audit information and the effectiveness of securities investment decisions; and (3) The lack of audit information was negatively correlated with the effectiveness of securities investment decisions.


Keywords

Logistic regression model, audit information, missing, securities investment, decision effectiveness, impact


Citation

Ren, W. (2022). The analysis method of the impact of missing audit information on the securities investment decisions based on logistic regression models. Applied Mathematics and Nonlinear Sciences, 7(1), 1179–1190. https://doi.org/10.2478/amns.2022.1.00037

Published by: Engineering Journals

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