Recent Advancements in Computational Finance and Business Analytics : Proceedings of the International Conference on Computational Finance and Business Analytics / edited by Rangan Gupta, Francesco Bartolucci, Vasilios N. Katsikis, Srikanta Patnaik.

Format:

Book

Contributor:

Gupta, Rangan, editor.

Series:

Learning and Analytics in Intelligent Systems, 2662-3455 ; 32

Language:

English

Subjects (All):

Computational intelligence.

Social sciences--Mathematics.

Social sciences.

Business information services.

Computational Intelligence.

Mathematics in Business, Economics and Finance.

Business Information Systems.

Local Subjects:

Computational Intelligence.

Mathematics in Business, Economics and Finance.

Business Information Systems.

Physical Description:

1 online resource (642 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

Summary:

Recent Advancements of Computational Finance and Business Analytics provide a comprehensive overview of the cutting-edge advancements in this dynamic field. By embracing computational finance and business analytics, organizations can gain a competitive edge in an increasingly data-driven and complex business environment. This book has explored the latest developments and breakthroughs in this rapidly evolving domain, providing a comprehensive overview of the current state of computational finance and business analytics. It covers the following dimensions of this domains: Business Analytics Financial Analytics Human Resource Analytics Marketing Analytics.

Contents:

Intro

CFBA-2023 Conference Committee

Preface

Acknowledgements

Editorial

Contents

About the Editors

Part I Financial Analytics

1 Research on Credit Rating Prediction of International Trade Enterprises Based on Genetic Neural Network

1.1 Introduction

1.2 Research on Enterprise Credit Rating

1.2.1 Overview of Enterprise Credit Rating

1.2.2 Selection of Enterprise Credit Rating Indicators

1.2.3 Empirical Study on Enterprise Credit Rating Based on Principal Component and Cluster Analysis

1.3 Genetic Algorithm Optimizing BP Neural Network

1.4 Conclusions

References

2 Analytics of Identifying Green Stocks Diversification Opportunities During Pre and Post Outbreak of COVID-19-An Approach of Sharpe Single Index Model and Wavelet Coherence Approach

2.1 Introduction

2.2 Literature Review

2.3 Research Methodology

2.3.1 Data Profile

2.4 Methods and Models

2.4.1 Sharpe Single Index Model

2.4.2 Wavelet Coherence

2.5 Empirical Analysis

2.5.1 Results of the Sharpe Single Index Model

2.5.2 Results of Wavelet Coherence with an Impact of COVID-19

2.5.3 Managerial and Policy Implication

2.6 Conclusion

3 A Study on Growth-Finance Nexus: Evidence From the BRICS Nations

3.1 Introduction

3.2 Literature Review

3.3 Data and Variables

3.4 Methodology

3.4.1 Checking Stationarity: Unit Root Test

3.4.2 Johansen Co-integration Test

3.4.3 Autoregressive Distributed Lag

3.4.4 Dumitrescu Hurlin Panel Causality

3.5 Results and Discussion

3.5.1 Descriptive Statistics

3.5.2 Augmented Dickey Fuller and Phillips-Perron Unit Root Tests

3.5.3 Johansen Co-integration Test

3.5.4 Autoregressive Distributed Lag

3.5.5 Dumitrescu Hurlin Panel Causality Test

3.6 Conclusion

References.

4 A Study of Investment Decision Making in Coal Mining Company: A System Dynamic Approach

4.1 Introduction

4.1.1 System Dynamics

4.2 Research Design

4.2.1 System Definition

4.2.2 Conceptual Analysis

4.2.3 Model Validation

4.3 Conclusion

4.4 Future Scope of the Study

5 Accounting Intelligent System Modeling of Financial Performance Evaluation Based on Software-Defined Network

5.1 Introduction

5.2 Accounting Intelligent System Modeling for Financial Performance Evaluation

5.2.1 The Composition of Accounting Intelligence System for Financial Performance Evaluation

5.2.2 Financial Intelligent Decision System

5.3 Accounting Intelligence System for Financial Performance Evaluation Based on Software Definition Network

5.3.1 Financial Statement Audit Analysis Model

5.3.2 Research on Simulation Results

5.4 Conclusion

6 Application Design of RPA Financial Robot Integrating Financial Big Data and Financial Sharing Services

6.1 Introduction

6.2 Related Works

6.3 Methodology

6.3.1 Technical Characteristics of RPA Financial Robot

6.3.2 Financial Data Analysis and Risk Pre-alarm

6.4 Result Analysis and Discussion

6.5 Conclusions

7 Digital Inclusive Finance, Advanced Industrial Structure and Quality of Economic Growth-Empirical Evidence Based on Provincial Panel Regressions with Threshold Effect Models

7.1 Introduction

7.1.1 Research Background

7.1.2 Digital Inclusive Finance Development in China

7.1.3 Research Significance and Innovation Points

7.2 Literature Review and Research Hypothesis

7.2.1 Impact of Digital Inclusive Finance

7.2.2 The Threshold Effect of Industrial Structure

7.3 Study Design

7.3.1 Variable Measurement

7.3.2 Data Source

7.3.3 Model Setting

7.4 Empirical Analysis.

7.4.1 Descriptive Statistical Analysis

7.4.2 Panel Regression Analysis and Heterogeneity Test

7.4.3 Threshold Effect Analysis

7.5 Regional Heterogeneity Analysis

7.6 Robustness Tests

7.7 Conclusions and Recommendations

7.7.1 Conclusion

7.7.2 Recommendation

8 Application of Fake News Detection in Stock Market Analyzer and Predictor Using Sentiment Analysis

8.1 Introduction

8.2 Experiment

8.2.1 Methods

8.2.2 Data Analysis

8.3 Areas of Improvement and Future Work

9 A Study of SME Financing Dilemma from Adverse Selection Perspective

9.1 Introduction

9.2 Literature Review

9.3 Theoretical Analysis of SME Financing Dilemma from the Perspective of Adverse Selection

9.3.1 Model Construction

9.3.2 Analysis of the Question of Whether Banks Lend to SMEs

9.3.3 Analysis of Adverse Selection Problems in Credit Markets

9.4 Empirical Study

9.5 Conclusion

10 The Effect and Mechanism of Digital Finance on Green Urbanization

10.1 Introduction

10.2 Variable Selection, Data Sources and Model Construction

10.2.1 Variable Selection

10.2.2 Data Sources

10.2.3 Model Construction

10.3 Analysis of Empirical Results

10.3.1 Baseline Regression

10.3.2 Robustness Tests

10.4 Heterogeneity Analysis

10.4.1 Regional Heterogeneity

10.4.2 Structural Heterogeneity

10.5 Mechanism Analysis

10.6 Conclusions and Recommendations

11 The Impact of Innovation on IPO Underpricing in the STAR Market

11.1 Introduction

11.2 Literature Review and Theoretical Analysis

11.2.1 Literature Review

11.2.2 Theoretical Analysis

11.3 Research Design

11.3.1 Sample Selection and Data Sources

11.3.2 Main Variable Definition

11.3.3 Model Building

11.4 Outcome of Practice

11.4.1 Descriptive Statistics.

11.4.2 Correlation Analysis

11.4.3 Analysis of Regression Results

11.5 Conclusion

12 The Spatial Effect of Fiscal Decentralization and Financial Decentralization on Carbon Productivity in China

12.1 Introduction

12.2 Literature Review

12.3 Indicator Selection and Data Sources

12.3.1 Dependent Variable

12.3.2 Dependent Variables

12.3.3 Control Variables

12.4 Empirical Results and Analysis

12.4.1 Spatial Autocorrelation Test of Variables

12.4.2 Selection of Spatial Econometric Model

12.4.3 Regression Analysis of the Spatial Durbin Model

12.5 Conclusions and Recommendations

13 The Influence Mechanism of Investors on the Value-Added Service Effect of Startups

13.1 Introduction

13.2 Literature Review

13.2.1 Concepts Related to Equity Investment and Value-Added Services

13.2.2 Overview of Research on the Impact of Value-Added Services on Startups

13.2.3 Overview of Research to Improve the Effect of Value-Added Services

13.2.4 Review of Existing Studies

13.3 Methodology and Design

13.3.1 Research Methodology

13.3.2 Case Selection and Information Collection

13.4 Model Construction Based on Grounded Theory

13.4.1 Open Coding

13.4.2 Axial Coding

13.4.3 Selective Coding

13.4.4 Theoretical Saturation Test

13.4.5 Level of Importance of Factors Influencing the Value-Added Service Effect

13.5 Model Interpretation and Research Findings

13.5.1 Mechanism of Action

13.5.2 Derive Discussion

13.6 Conclusion and Discussion

14 Intelligent Early-Warning Method for Financial Risk of Engineering Construction Projects Based on Industrial Cluster Network Technology

14.1 Introduction

14.2 Identifying the Characteristics of Engineering Construction Projects

14.3 Extraction of the Crisis Life Cycle.

14.4 Building an Expense Deviation Control Model

14.5 Optimization of Financial Risk Intelligence Warning Model Based on Industrial Cluster Network Technology

14.6 Experimental Analysis

14.6.1 Simulation Overview

14.6.2 Analysis of Results

14.7 Conclusion

14.8 Fund Project

15 Empirical Analysis of Factors Influencing the Price of Commercial Housing in Anhui Province Based on Multiple Regression Model

15.1 Introduction

15.2 Variable Selection and Data Sources

15.3 Model Construction and Parameter Estimation

15.4 Model Testing and Correction

15.4.1 Economic Significance Test

15.4.2 Statistical Tests

15.4.3 Econometric Testing

15.5 Conclusions and Recommendations

Appendix

16 Research on Fine Decision-Making Management of Budget Performance in Universities Boosted by the Integration of Industry and Finance

16.1 The Importance of Budget Performance Management in Colleges and Universities

16.2 Changes of Budget Performance Management in Colleges and Universities Driven by the Integration of Industry and Finance

16.2.1 Integration of Business and Finance to Realize Optimal Allocation of Resources

16.2.2 Coordinated Budget and Performance Management Helps Colleges and Universities Develop Connotatively

16.3 Ease of Use

16.3.1 Sample Selection and Data Sources

16.3.2 Research Model and Variable Description

16.3.3 Regression and Result Analysis Equations

16.4 The Integration of Industry and Finance to Boost the Budget Performance of Colleges and Universities Refined Decision-Making Management Countermeasures

16.4.1 Timely Change of Consciousness

16.4.2 Transforming the Organizational Structure of Colleges and Universities

16.4.3 We Will Improve the Organization System for Fine-Grained Decision-Making and Management of Budget Performance.

16.4.4 Construct a Refined Decision-Making Management Model and Sort Out the Budget Performance Management Framework.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Gupta, Rangan Recent Advancements in Computational Finance and Business Analytics

ISBN:

3-031-38074-6

OCLC:

1407313370