Recent Advancements in Computational Finance and Business Analytics

Name: Recent Advancements in Computational Finance and Business Analytics | Proceedings of the International Conference on Computational Finance and Business Analytics
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Proceedings of the International Conference on Computational Finance and Business Analytics

Rangan Gupta Francesco Bartolucci Vasilios N. Katsikis Srikanta Patnaik(Editor)

Springer (Publisher)

1st Edition

Published on 29. October 2023

XXVI, 300 pages

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978-3-031-38074-7 (ISBN)

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Content

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
References
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
References
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
References
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
References
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
References
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
References
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
References
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
References
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
References
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
References
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
References
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
References
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
References
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
16.4.5 Establish a Sound Budget Performance Management and Evaluation Mechanism
16.4.6 Improving IT Application
References
17 Research on the Application of Activity-Based Costing in Strategic Decision of Cost Management in Communication Engineering Industry
17.1 Introduction
17.2 Necessity and Feasibility Analysis of Activity-Based Costing Applied to Rong Ting Company
17.2.1 Necessity Analysis of Activity-Based Costing Applied by Rong Ting Company
17.2.2 Feasibility Analysis of Activity-Based Costing Applied by Rong Ting Company
17.3 Analysis of Cost Difference Between Traditional Cost System and Activity-Based Cost System in Order a of Rong Ting Company
17.3.1 Form Difference
17.3.2 B. Data Difference
17.4 Suggestions Put Forward by Rong Ting Company Using Activity-Based Costing
17.4.1 Improve Data Information and Reasonably Choose Operation Motivation
17.4.2 Optimize the Ratio of Resource Allocation and Reasonably Connect Activity-Based Costing and Traditional Cost Method
17.4.3 Strengthen Activity-Based Costing Concept and Focus on Professional Personnel Training
17.5 Conclusion
References
18 Construction of Low-Carbon Economic Model Based on Grey Clustering Algorithm and Big Data
18.1 Introduction
18.2 The Connotation and Far-Reaching Significance of Low-Carbon Economy
18.3 Necessity of Developing Big Data Low-Carbon Economy
18.4 Research on Low-Carbon Economy Based on Grey Clustering Algorithm and Big Data
18.4.1 Construction of Low-Carbon Economic Model
18.4.2 Simulation Data Analysis
18.5 Conclusions
References
19 Optimal Trading Strategies Based on Time Series Analysis
19.1 Introduction
19.2 Model Preparation
19.2.1 Time Series Model Background
19.2.2 Visual Processing of Data
19.2.3 EM Algorithm Steps for Maximum Likelihood Estimation
19.2.4 The Qualitative Analysis
19.3 ARIMA Bitcoin Prediction Model
19.4 GARCH Model
19.4.1 Bitcoin Prediction Model GARCH (2,2)
19.4.2 The ARMIA Gold Prediction Mode
19.5 Results Analysis of the Single-Target Investment Decision Model
19.6 Conclusions
References
20 Analysis and Prediction of E-Bank Suspicious Accounts Based on Ensemble Learning Under Imbalance Data
20.1 Introduction
20.2 Related Work
20.2.1 Suspicious Account Monitoring Model for E-Bank
20.2.2 Methods for Processing Imbalanced Data
20.3 Building Method
20.3.1 Processing Imbalanced Sample Data
20.3.2 Suspicious Account Detection Algorithm for E-Bank Based on Imbalanced Classification
20.4 Experiment and Results Analysis
20.4.1 Data Source
20.4.2 Feature Engineering
20.4.3 Algorithm Evaluation Indicators
20.4.4 Experiment Process and Analysis
20.5 Conclusion and Future Work
References
21 Design and Research of Credit Bank System Based on Blockchain Oracle
21.1 Introduction
21.2 Related Work
21.3 System Model
21.3.1 System Process Analysis
21.3.2 System Architecture
21.4 System Testing and Analysis
21.4.1 Functional Testing
21.4.2 Performance Testing
21.5 Conclusion
References
22 A Deep Learning Network Using CNN_GRU with GRU Residual for Stock Prediction
22.1 Introduction
22.2 Related Works
22.3 Preliminaries
22.3.1 Gru
22.3.2 Cnn
22.3.3 Attention Mechanism
22.4 Models
22.4.1 Gru
22.4.2 Cnn-Gru
22.4.3 Attention-GRU
22.4.4 CNN-GRU with GRU Residual (CGGR)
22.4.5 Attention Connected CNN-GRU and GRU (ACGG)
22.5 Experiment
22.5.1 Data Setup
22.5.2 Evaluation
22.5.3 Result
22.5.4 Discussion
22.6 Conclusions
References
23 Exploring Stock Price Prediction Based on Deep Learning
23.1 Introduction
23.2 RNN, LSTM and GRU Models Construction
23.2.1 RNN Model
23.2.2 LSTM Model
23.2.3 GRU Model
23.3 Experiment and Analysis
23.3.1 Data Acquisition and Pre-Processing
23.3.2 Comparative Experiments
23.3.3 Experimental Results and Analysis
23.4 Conclusion
References
24 Using Generative Adversarial Network to Forecast Stock Price
24.1 Introduction
24.2 Related Work
24.3 Method
24.3.1 The Generator
24.3.2 The Discriminator
24.3.3 The Architecture of GAN
24.3.4 Technical Indicators
24.4 Experiments
24.4.1 Dataset
24.4.2 Data Processing
24.4.3 Training the Model
24.4.4 Result
24.5 Conclusion
References
25 Research on the Risk Contagion Effect in China's Interbank Market from the Perspective of Debt
25.1 Introduction
25.2 Overview of Scale-Free Network and Characteristics of Chinese Interbank Networks
25.3 Interbank Market Risk Contagion Threshold
25.4 Model Construction
25.4.1 Premise Assumptions
25.4.2 Model Construction and Solution
25.5 Risk Contagion Effect Under the Impact of Credit Default Risk
25.5.1 Identification of Infection and Infection Process
25.5.2 Selection of Sample Banks and Data Processing
25.5.3 Selection of Default Loss Rate
25.5.4 Empirical Results
25.6 Empirical Conclusions
References
26 Stock Price Prediction Using Optimized Hybrid Model
26.1 Introduction
26.2 Convolutional Neural Network (CNN) Model
26.3 Long Short-Term Memory(LSTM) Model
26.4 Jaya Optimization Algorithm
26.5 Proposed Model, Results and Discussion
26.6 Results and Discussion
26.7 Conclusion
26.8 Future Scope
References
27 A Study on the Relationship Between Economic Growth and Carbon Emissions in the Pilot Provinces of China's Carbon Trading Rights
27.1 Introduction
27.2 Review of the Literature
27.3 Data Sources and Measurements
27.3.1 Economic Growth Indicators
27.3.2 CO2 Emission Targets
27.3.3 Decoupling Index
27.3.4 Data Sources and Processing
27.4 Empirical Analysis
27.4.1 Tests for Stationarity and Co-integration of Variables
27.4.2 Granger Causality Test
27.4.3 Impulse Response Analysis
27.4.4 Variance Decomposition
27.4.5 Analysis of the Decoupling Index
27.5 Conclusion
References
28 Regional Economic Trend Prediction Based on Improved BP Neural Network Algorithm
28.1 Introduction
28.2 Extraction of Driving Factors
28.3 Delineating the Stage of Regional Economic Development
28.4 Building Trend Assessment Model
28.5 Design Prediction Method Based on Improved BP Neural Network Algorithm
28.6 The Simulation Analysis
28.6.1 The Deployment Environment
28.6.2 The Test Results
28.7 Conclusion
References
29 Construction of Cross-Border E-Business Pricing Decision Model Based on Decision Tree Algorithm
29.1 Introduction
29.2 Pricing Decision Model of Transborder E-Business Based on Decision Tree Algorithm
29.2.1 Transborder E-Business Supply Chain Coordination Decision-Making Mechanism
29.2.2 Transborder E-Business Pricing Decision Model
29.3 Result Analysis and Discussion
29.4 Conclusions
References
30 Construction of China Digital Economy Scale Prediction Model Based on Random Forest Algorithm
30.1 Introduction
30.2 Research Method
30.2.1 Construction of Measurement Index System and Data Explanation
30.2.2 Prediction Model Construction
30.3 Result Analysis
30.4 Conclusion
References
Part II Human Resource Analytics
31 Exploration on the Construction of Quality Management Decision-Making System of Teachers' Ethics in Universities
31.1 Introduction
31.2 The Concrete Manifestation of Teachers 'Deviant Behavior in Current Colleges and Universities
31.2.1 Basic Investigation
31.2.2 Concrete Embodiment
31.2.3 Economic Problems
31.2.4 Academic Problems
31.2.5 The Problem of Sexual Harassment
31.2.6 Style of Life
31.2.7 The Problem of Bad Speech
31.3 Analysis on Inducement of Misconduct of College Teachers
31.3.1 There is a Bridging Gap Between Career Development and Work Practice
31.3.2 Lack of Professional Identity and Awet
31.3.3 The Original Aspiration and Ideal Faith Have Been Loosened
31.4 Thoughts on Constructing the Decision-Making System of Teacher Ethics Management in Colleges and Universities
31.4.1 Strengthen the Education and Leadership of Teachers' Ethics and Style in Colleges and Universities
31.4.2 Shaping the Environment of College Teachers' Career Planning and Development
31.4.3 Strengthen the Discipline of College Teachers
31.5 Conclusion
References
32 Research on Supply and Demand and Management Decision-Making of Home-Based Elderly Care Services
32.1 Introduction
32.2 Current Situation of Supply and Demand of Home Care Services
32.2.1 The Supply and Demand for Home-Based Elderly Care Services is Unbalanced
32.2.2 There Are Differences in the Supply and Demand of Urban and Rural Home-Based Elderly Care Services
32.3 Analysis of Problems and Root Causes in the Development of Home-Based Elderly Care Services
32.3.1 The Operation of the Service Center is Difficult and the Financial Support is not in Place
32.3.2 There is not Enough Nursing Staff and Low Motivation to Work
32.3.3 The Effective Demand for Elderly Care Services is Insufficient
32.4 Management Decisions for the Development of Home-Based Elderly Care Services
32.4.1 Improve the Mechanism for Government Procurement of Services
32.4.2 Strengthen the Construction of Home-Based Elderly Care Service Teams
32.4.3 Improve the Quality of the Supply of Home-Based Elderly Care Services
32.4.4 The Two Sides Will Increase Financial Subsidies and Raise the Standard of Basic Pensions
References
33 The Role of Green Behavior Between Workplace Well-Being and Personal Green Value
33.1 Introduction
33.2 Theoretical Background
33.2.1 Stern's Value Belief Norm (VBN) Theory
33.3 Hypothesis Development
33.4 Discussions and Implications
33.5 Conclusion
References
34 A Study on HR Analytics Competency Model and Its Impact on Organisations Decision Making Process and Business Outcomes
34.1 Introduction
34.2 Concept of HR Analytics
34.3 Analytics and Organisational Decision-Making
34.4 Competency of HRA and COM Factors
34.5 Methodology
34.6 Analysis
34.7 Conclusion
References
Part III Marketing Analytics
35 Applying Digital Technologies to Financial Product Marketing
35.1 Introduction
35.2 Factors
35.3 Basic Information About the Products
35.4 Feature Engineering
35.4.1 User Side Feature Mining
35.4.2 Product Side Feature Mining
35.4.3 Transaction Information Feature Mining
35.4.4 User Click Through Rate Feature Mining
35.4.5 User Borrowing Information Feature Mining
35.5 Model Construction
35.6 Innovation in Data Exploration
35.7 Innovation in Model Construction
35.8 Vision of the Future
References
36 Empirical Analysis of the Impact of Internet Financial Products on the Operation of Commercial Banks in China
36.1 Introduction
36.2 The Influence of Internet Financial Products on the Management of Chinese Commercial Banks
36.2.1 The Influence of Internet Financial Products on Debt Business of Chinese Commercial Banks
36.2.2 The Influence of Internet Financial Products on the Assets Business of Chinese Commercial Banks
36.2.3 The Influence of Internet Financial Products on Operating Income of Chinese Commercial Banks
36.3 Sample Selection and Variable Design
36.3.1 Sample Selection
36.3.2 Variable Design
36.4 Model Construction
36.4.1 Analysis Process
36.5 Summary
36.5.1 Improve the Countermeasures of China's Commercial Banks to Deal with the Internet Financial Products
36.5.2 Make Full Use of the Huge User Group of Internet Finance
36.5.3 To Maximize the Advantages of Internet Financial Management and Network Technology
36.5.4 Simplify Financial Management and Information Collection Methods
36.5.5 Jointly Promote the Healthy Development of the Wealth Management Market
36.6 Conclusion
References
37 A Text Mining Approach to Identify Key Sustainability Reporting Trends and Issues on Twitter
37.1 Introduction
37.2 Related Work
37.3 Data Collection
37.4 Methodology
37.4.1 Data Preprocessing
37.4.2 Topic Modeling
37.5 Results and Discussion
37.6 Conclusion
References
Part IV Business Analytics
38 Design and Implementation of Intelligent Analysis and Management Platform for Urban Economic Statistical Data Under the Background of Information Age
38.1 Introduction
38.2 Intelligent Construction Methods of Statistical Economy in the Information Age
38.2.1 Actively Improve the Original Statistical Economic Work Model
38.2.2 Business Statement of Intelligent Analysis Platform for Urban Economic Statistical Data
38.3 Multivariable Statistical Model Based on Artificial Intelligence Parameter Estimation Method
38.3.1 Data Analysis Model
38.3.2 Analysis of Experimental Results
38.4 Conclusion
References
39 Design and Implementation of Regional Industrial Economic Information Management Cloud Platform Based on Micro-service Architecture
39.1 Introduction
39.2 Research Method
39.2.1 Platform Architecture Design
39.2.2 Implementation of Cloud Platform Server for Regional Industrial Economic Information Management
39.3 Experimental Analysis
39.4 Conclusion
References
40 Analysis Model of the Impact of House Price Fluctuation on Urban and Township Residents' Expenses Based on Big Data Crawler Technology
40.1 Introduction
40.2 Analysis on the Distribution Structure of Influencing Factors of Housing Price Fluctuation on Urban and Township Residents' Expenses
40.2.1 Overall Framework
40.2.2 Characteristic Distribution of Influencing Factors of Housing Price Fluctuation on Urban and Township Residents' Expenses
40.2.3 Analysis on the Characteristics of the Influence of House Price Fluctuation on Urban and Township Residents' Expenses
40.3 Analysis and Optimization of the Impact of House Price Fluctuation on Urban and Township Residents' Expenses
40.3.1 Rough Fuzzy Clustering of Influencing Factors of House Price Fluctuation on Urban and Township Residents' Expenses
40.3.2 Analysis and Output of the Impact of House Price Fluctuation on Urban and Township Residents' Expenses
40.4 Simulation and Result Analysis
40.5 Conclusions
References
41 Comparing the Predictive Power of Five Models on Bitcoin Volatility
41.1 Introduction
41.2 Literature Review
41.2.1 Bitcoin
41.2.2 Predict Method
41.3 Methodology
41.3.1 Augmented Dickey Fuller (ADF) Test
41.3.2 Mean Baseline
41.3.3 Naïve Random Walk Forecasting
41.3.4 Generalized Autoregressive Conditional Heteroscedasticity (GAECH)
41.3.5 Fully Connected Neural Networks
41.3.6 Long Short-Term Memory (LSTM)
41.3.7 Performance Evaluation Indicators
41.4 Data Analysis
41.4.1 ADF Test
41.4.2 Mean Baseline Model
41.4.3 Naive Random Walk Forecasting
41.4.4 Garch
41.4.5 Simple Linear Regression Fully Connected Network
41.4.6 Long Short-Term Memory (LSTM)
41.4.7 Result
41.5 Conclusion
References
42 The Construction of Virtual Simulation Training Platform for Accounting Post Under the "Great Wisdom Propelling Clouds"
42.1 Introduction
42.2 Smart Finance
42.2.1 Concept of Smart Finance
42.2.2 Implementation Path of Smart Finance
42.3 Smart Finance Under "Great Wisdom Propelling Clouds"
42.3.1 The Era of "Great Wisdom Mobile Cloud"
42.3.2 Construction of Accounting Training Platform
42.4 Conclusions
References
43 Research on the Design of Supply Chain Finance System Based on Genetic Algorithm
43.1 Introduction
43.2 Methods
43.2.1 Supply Chain Finance System
43.2.2 Principle of Adaptive Supply Chain Based on Genetic Algorithm
43.2.3 Structure of Adaptive Supply Chain Finance System with Genetic Algorithm as the Core
43.3 Result Analysis
43.4 Conclusion
References
44 Research on the Impact of Digital Trade Development on Regional Income Gap: Empirical Analysis Based on Pan-Pearl River Delta Data
44.1 Introduction
44.2 Measurement and Analysis of the Digital Trade Development Level in Pan-Pearl River Delta Region
44.2.1 Construction of Index System
44.2.2 Measurement of the Development Level of Digital Trade
44.3 Empirical Analysis
44.3.1 Variables
44.3.2 Model Specification
44.3.3 Co-Integration Test
44.3.4 Regression Analysis
44.4 Conclusions and Recommendations
References
45 Pricing and Wage Strategies for Ride-Hailing Platform with Riders' Heterogeneous Waiting Costs
45.1 Introduction
45.2 Model
45.2.1 Basic Model
45.3 Conclusion
References
46 Enterprise Value Evaluation of the BYD Company Based on FCFF Model
46.1 Introduction
46.2 Enterprise Value Evaluation System Based and FCFF Model
46.3 The Profile of the Company
46.4 The Enterprise Value Evaluation of the BYD Company Based on FCFF Model
46.4.1 Discount Period
46.4.2 FCFF
46.4.3 Discount Rate
46.4.4 Calculation of Evaluation Value
46.5 Conclusion
References
47 DWT-CNN-TRANS: High Frequency Stock Prediction Model Based on Improved Transformer
47.1 Introduction
47.2 Basic Transformer Algorithm
47.2.1 Network Structure
47.2.2 Main Operations
47.3 Improved Algorithm
47.3.1 Network Architecture
47.3.2 Convolutional Transformer Module
47.3.3 Wavelet Transform Module
47.3.4 The MLP Layer
47.4 Experiment
47.4.1 Datasets
47.4.2 Feature Engineering
47.4.3 Experimental Design
47.4.4 Experimental Results and Analysis
47.5 Conclusion
References
48 Selection of Export Models of Cross-Border E-commerce Platforms Based on the Improved AHP Algorithm
48.1 Introduction
48.2 Cross-Border EC Platform Export Method
48.2.1 Cross-Border EC Platform Export Model
48.2.2 Improved AHP Algorithm
48.3 Cross-Border EC Platform Model Data Collection
48.4 Cross-Border EC Export Results and Discussion
48.4.1 Cross-Border EC Export Strategy
48.5 Conclusions
References
49 Design of Pricing Decision Algorithm for Cross-Border E-business Import Supply Chain Based on Deep Learning
49.1 Introduction
49.2 Methodology
49.2.1 Cross-Border E-business Supply Chain
49.2.2 Pricing Decision Algorithm of Transborder E-business Import Supply Chain
49.3 Result Analysis and Discussion
49.4 Conclusions
References
50 Research on Optimization of Transborder E-business Logistics Network Based on Cloud Computing
50.1 Introduction
50.2 Methodology
50.2.1 Transborder E-business Logistics Mode
50.2.2 Optimization Algorithm of Transborder E-business Logistics Network
50.3 Result Analysis and Discussion
50.4 Conclusions
References
51 Value Chain Analysis of Cross Border E-Business Foreign Trade Driven by Networked Manufacturing Mechanism
51.1 Introduction
51.2 Based on the Network Manufacturing Mechanism of Small and Medium-Sized Foreign Trade Cross-Border E-Business Value Chain Analysis
51.3 Development Strategy of Cross-Border E-Business
51.4 Conclusion
References
52 Research on Business Data Protection Strategy Based on SVM Algorithm
52.1 Introduction
52.2 Methodology
52.2.1 Business Data Protection
52.2.2 Network Safety Situation Awareness Algorithm
52.3 Result Analysis and Discussion
52.4 Conclusions
References
53 Understanding Cyber Terrorism with a Special Focus on Zero-Day Attacks
53.1 Introduction
53.2 Literature Review
53.2.1 Zero-Day Attacks
53.3 Methodology of Zero-Day Attacks
53.4 Laws and Regulations
53.5 Impact on Policy Making and Society
53.6 Recommendations
References
54 Thriving in Uncertainty: Effective Financial Analytics in the Age of VUCA
54.1 Introduction
54.1.1 Background
54.2 Significance of VUCA in Financial Analytics
54.3 Related Works
54.4 Volatility in Financial Market
54.4.1 Tools and Techniques for Managing Volatility
54.5 Uncertainty
54.5.1 Tools and Techniques for Managing Uncertainty
54.6 Complexity
54.6.1 Tools and Techniques for Managing Complexity
54.7 Ambiguity
54.7.1 Tools and Techniques for Managing Ambiguity
54.8 Open Research Problems
54.8.1 Emerging Technologies for VUCA Analysis
54.8.2 Implications for Financial Decision Making
54.8.3 Challenges and Opportunities for VUCA in Financial Analytics
54.9 Conclusion
References

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