Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023).

• Superior document: Atlantis Highlights in Computer Sciences Series ; v.14
• Author: Yen, Jerome.
• TeilnehmendeR: Abedin, Mohammad Zoynul.; Wan Ngah, Wan Azman Saini Bin.
• Place / Publishing House: Dordrecht : : Atlantis Press (Zeger Karssen),, 2023.; ©2023.
• Year of Publication: 2023
• Edition: 1st ed.
• Language: English
• Series: Atlantis Highlights in Computer Sciences Series
• Physical Description: 1 online resource (1595 pages)

Table of Contents

• Intro
• Preface
• Organization
• Contents
• Peer-Review Statement
• 1 Review Procedure
• 2 Quality Criteria
• 3 Key Metrics
• Investment Portfolio Establishment
• 1 Introduction
• 2 Data Selection
• 3 Hypothesis Test
• 3.1 Normal Distribution
• 3.2 IID Assumption
• 4 Portfolio Establishment
• 4.1 Diversification Effect
• 4.2 Leveraging
• 4.3 Sharpe Ratio
• 4.4 Comparison
• 5 Conclusion
• References
• Design of Demand Response Pricing Mechanism Under the Trend of Sustainable Development: The Case of Gansu
• 1 Introduction
• 2 Current Situation of Demand Response Construction in Gansu Province
• 3 Design of Gansu Demand Side Response Pricing Mechanism Under Electricity Marketization
• 3.1 Design of Incentive Based Demand Response Pricing Mechanism
• 3.2 Design of Price Based Demand Response Pricing Mechanism
• 4 Conclusion
• References
• Female Executives, Corporate Performance and Social Responsibility in Big Data
• 1 Introduction
• 2 Theoretical Analysis and Research Assumptions
• 2.1 Resource Based Theory
• 2.2 High-Level Echelon Theory
• 2.3 Stakeholder Theory
• 2.4 Feminist Ethical Theory
• 2.5 Female Executives, Corporate Social Responsibility and Corporate Performance
• 3 Research Design
• 3.1 Samples and Data Sources
• 3.2 Variable Definition
• 3.3 Model Construction
• 4 Research Results
• 4.1 Descriptive Statistical Analysis
• 4.2 Correlation Analysis
• 4.3 Regression Analysis
• 5 Conclusion
• References
• Rice Price Volatility of Expors Leaders in World Markets Using TGARCH Model
• 1 Introduction
• 2 Research Methodology
• 2.1 The GARCH Models
• 2.2 The TGARCH Model
• 2.3 The GJR-GARCH Model
• 3 Data
• 4 Empirical Result
• 4.1 Time Series Unit Root Test
• 4.2 Model Selection
• 4.3 The Rice Price Volatility with TGARCH of India
• 4.4 The Rice Price Volatility with TGARCH of Thailand.
• 4.5 The Rice Price Volatility with TGARCH of Vietnam
• 5 Conclusion
• References
• Study on the Relationship Between Corporate Financial Leverage and Financial Performance Based on Linear Multiple Regression Model via Stata System
• 1 Introduction
• 2 Literature Review
• 3 Theoretical Analysis and Research Hypothesis
• 4 Research Methods and Data Sources
• 4.1 Data Source and Sample Selection
• 4.2 Definition of Variables
• 4.3 Model Design
• 5 Empirical Results
• 5.1 Descriptive Statistics
• 5.2 Correlation Analysis
• 5.3 Basic Regression Results
• 6 Conclusion
• References
• Comparison Analysis of Stock Price Prediction Based on Different Machine Learning Methods
• 1 Introduction
• 2 Methodology
• 2.1 Data Preparation
• 2.2 Asset Portfolio
• 2.3 Pre-processing and Model Fitting
• 3 Results and Discussion
• 3.1 Efficient Frontier
• 3.2 Minimum Volatility Weights
• 3.3 Minimum Volatility Weights
• 4 Conclusion
• References
• The Impact of Emerging Service Industry on the Economy of Henan Province from the Perspective of the Modern Logistics Development: Based on Multiple Regression Analysis
• 1 Introduction
• 2 Data, Variables and Measurement Models
• 2.1 Gross Domestic Product
• 2.2 Cargo Volume Data
• 2.3 Total Mileage Data of Transportation Network
• 2.4 Total Data of Post and Telecommunications Services
• 2.5 Empirical Model
• 3 Analysis and Test of Model Results
• 3.1 Regression Result Analysis
• 3.2 Variable Correlation Test
• 3.3 Stationary Test
• 4 Policy Suggestions
• 4.1 Establish and Improve the System of Laws, Regulations and Policies
• 4.2 Strengthen the Introduction and Training of Talents in the Logistics Industry
• 5 Conclusion
• References
• Happiness Index Prediction Using Hybrid Regression Model
• 1 Introduction
• 2 Method
• 2.1 Data Preprocessing
• 2.2 Introduction of Algorithms.
• 3 Results and Discussion
• 4 Conclusion
• References
• Storage and Modeling Research of Yoga Injury Cases by Using Computer Information Technology
• 1 Preface
• 2 Object and Method
• 2.1 Object
• 2.2 Methods
• 3 Results and Analysis
• 3.1 Data on the Causes of Acute Physical Injury in Yoga Practice
• 3.2 Data on the Characteristics of Acute Physical Injury Occurring in Yoga Practice
• 3.3 Case Acute Injury Data Profile
• 3.4 Athletes' Injury Factors from the Least Squares SVM Were Used to Analyze Yoga Acute Injury Cases
• 4 Conclusion
• References
• Cooperative Game Analysis of Asian Handicap Big Data Based on Quantitative Difference Model
• 1 Introduction
• 2 Method
• 2.1 Data Source
• 2.2 Data Processing
• 2.3 Statistical Analysis
• 3 Results and Discussions
• 3.1 Result Analysis
• 3.2 Discussion Analysis
• 4 Conclusions
• References
• The Effects of Investor Attention on Cornstarch Futures Markets
• 1 Introduction
• 2 Data
• 3 Empirical Results
• 3.1 ADF Test
• 3.2 Granger Causality Analysis
• 3.3 Building VAR Model
• 4 Conclusion
• References
• Use of NLP-Powered Sentiment Analysis in Trading Strategy
• 1 Introduction
• 2 Methodology
• 2.1 Brief Introduction to the Strategy
• 2.2 Sentiment Analysis Logic
• 2.3 Strategy Implementation
• 3 Algorithmic Training and Evaluation
• 3.1 Original Solution
• 3.2 Enriched Dictionary Solution
• 3.3 Equal Weighting Portfolio Construction Model Solution
• 3.4 Solution of Selecting Different Numbers of Securities to Purchase
• 3.5 Final Solution
• 4 Testing and Results
• 5 Conclusion and Future Works
• References
• Analysis of Environmental and Human Habit Factors on Where People Drink the Most Beer, Wine and Spirits
• 1 Introduction
• 2 Regression Analysis
• 3 Cluster Analysis
• 4 Factor Analysis
• 5 Conclusion
• References.
• Stock Price Forecast: Comparison of LSTM, HMM, and Transformer
• 1 Introduction
• 2 Related Works
• 2.1 Stock Price Prediction
• 2.2 Transformer Deep Learning Model
• 3 Method
• 3.1 LSTM Model
• 3.2 HMM Model
• 3.3 Transformer
• 4 Discussion
• 5 Conclusion
• References
• Personalized News Recommendations Based on NRMS
• 1 Introduction
• 2 Related Work
• 3 Personalized News Recommendations Core Issues
• 4 News Recommendation Base on NRMS
• 4.1 Introduction to the NRMS Model
• 4.2 News Feature Extraction
• 4.3 User Feature Extraction
• 4.4 Personalized Content Matching
• 4.5 Model Training
• 4.6 Experiments
• 5 Research and Outlook
• 6 Summary
• References
• Research on the Design of Community Creation Based on Analytic Hierarchy Process Under Social Innovation
• 1 Introduction
• 2 Research Subjects - Machang Community
• 3 Requirements Collation and Importance Analysis
• 3.1 Establishment of Demand Indicators Based on Affinity Diagram
• 3.2 Hierarchical Analysis of the Weighting of Each Requirement Element
• 4 Design for Community Creation Based on Social Innovation
• 4.1 Physical Space - Renewal of Shared Public Spaces
• 4.2 Social Space - Community Service System Building
• 5 Conclusion
• References
• Stock Trading Strategy Developing Based on Reinforcement Learning
• 1 Introduction
• 2 Preliminary Knowledge
• 2.1 Reinforcement Learning on Markov Decision Process
• 2.2 PPO Algorithm
• 3 Algorithm Design
• 3.1 Data Preprocessing
• 3.2 Environment Setting
• 3.3 The Risk Averse Agent Setting
• 4 Experiment Results
• 4.1 The Ordinary Agent
• 4.2 The Risk-Averse Agent
• 5 Conclusion
• References
• Research on New Investment Demand Forecast of Power Grid Company After Investment Interface Extension
• 1 Introduction
• 2 Overview of Relevant Methods
• 2.1 Support Vector Machine.
• 2.2 Grey Relational Analysis
• 3 GRA-SVM Model for Forecasting New Investment Demand of Power Grid Company
• 3.1 Basic Principles of Building the GRA-SVM Model
• 3.2 Basic Algorithm of the GRA-SVM Model
• 4 Case Study
• 4.1 Construct a Factor Index System
• 4.2 Use the GRA Method to Delete Factor Indexes
• 4.3 Use SVM to Build a Forecast Model
• 5 Conclusion
• References
• The Spread of TikTok's Influence Worldwide from the View of the SIRO Model
• 1 Introduction
• 2 Application of SIR and Its Variants to the Spread of TikTok
• 2.1 SIR
• 2.2 SICR
• 2.3 SEIR
• 2.4 SIS
• 3 The SIRO Model
• 4 Theoretical Analysis
• 4.1 The Basic Reproduction Number
• 4.2 Discussion
• 5 Conclusion
• References
• Research on E-Sports User Preferences and User Characteristics of Student Groups in Anhui Province
• 1 Introduction
• 2 Sampling and Data Processing
• 3 Statistical Modeling Analysis
• 3.1 Cluster Analysis
• 3.2 Text Sentiment Analysis
• 4 Conclusion and Suggestion
• References
• Study on the Development Status and Influencing Factors of Traditional Chinese Medicine Service Ability in Jilin Province Based on Logistic Regression Algorithm
• 1 Introduction
• 2 Sample and Method
• 2.1 Sample
• 2.2 Measure
• 2.3 Model Algorithm
• 2.4 Statistical Method
• 3 Result
• 3.1 Basic Conditions of Survey Respondents and Results of Single Factor Analysis of Primary Chinese Medicine Service Ability
• 3.2 Analysis of Primary Chinese Medicine Service Ability Based on Logistic Regression Algorithm
• 4 Discussion
• 4.1 Hardware Facilities of Grassroots TCM Service Institutions Need to Be Upgraded
• 4.2 The Professional Level of TCM Practitioners Needs to Be Improved
• 4.3 Pressure on Outpatient Clinics of Primary Care TCM Doctors
• 4.4 Inadequate Training System for Primary Chinese Medicine Physicians
• 5 Conclusion
• References.
• H&amp.