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

Bibliographic Details
Main Author: Yen, Jerome.
Other Authors: Abedin, Mohammad Zoynul., Wan Ngah, Wan Azman Saini Bin.
Format: eBook
Language:English
Published: Dordrecht : Atlantis Press (Zeger Karssen), 2023.
Edition:1st ed.
Series:Atlantis Highlights in Computer Sciences Series
Subjects:
Electronic books.
Online Access:Click to View
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.

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