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All Journal Jurnal Ilmiah Matematika Annals of Mathematical Modeling Annals of Mathematical Modeling
Weizhang Lai
Guangxi Normal University
Computer Science & IT Mathematics

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Empirical Analysis of Shanghai Stock Exchange Index Based on ARMIA Model and Neural Network Model Jian Xin; Weizhang Lai
Jurnal Ilmiah Matematika Vol 8, No 1 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/konvergensi.v8i1.20850

Abstract

 Stocks are an important part of the national economy. With the increase of liquidity in people's hands, more and more people choose to enter the stock market. In stock investment, accurate prediction of stock price index is not only of great significance to investors, but also of promoting the development of my country's stock market. It even has an important role in accelerating my country's economic development. The paper chose the ARIMA method based on linear technology for time series forecasting and the NN model that is good at mining the implicit nonlinear relationship in the data to compare the China Sea Securities Composite Index from January 21, 2020 to December 31, 2020. Empirical analysis of closing prices and short-term forecasts are made.
Research on Regional Economic Development of Guangxi Based on Multiple Statistic Analysis Jian Xin; Weizhang Lai
Annals of Mathematical Modeling Vol 3, No 1 (2021)
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/amm.v13i1.113

Abstract

Economic development is a prerequisite for social stability and development. However, the regional economic development in various regions of our country is unbalanced, especially in the western region. As one of the minority autonomous regions in western of my country, Guangxi Province is undoubtedly of great practical significance to study its regional economic development. In this context, this paper is based on 8 economic indicators and related economic data of 14 cities in Guangxi Province in 2018, and is based on the theory of dimensionality reduction methods and cluster analysis, using principal component analysis (PCA) and hierarchical clustering methods to assess the comprehensive level of Guangxi’s economic development. The result shows that most cities' economic development in Guangxi Province is great. However, there are signature differences in economic development between urban areas.
Research on Regional Economic development of Guangxi based on multiple statistic analysis Xin Jian; Weizhang Lai
Annals of Mathematical Modeling Vol. 3 No. 1 (2023)
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/amm.v3i1.29

Abstract

Economic development is a prerequisite for social stability and development. However, the regional economic development in various regions of our country is unbalanced, especially in the western region. As one of the minority autonomous regions in western of my country, Guangxi Province is undoubtedly of great practical significance to study its regional economic development. In this context, this paper is based on 8 economic indicators and related economic data of 14 cities in Guangxi Province in 2018, and is based on the theory of dimensionality reduction methods and cluster analysis, using principal component analysis (PCA) and hierarchical clustering methods to assess the comprehensive level of Guangxi’s economic development. The result shows that most cities' economic development in Guangxi Province is great. However, there are signature differences in economic development between urban areas.
Co-Authors Jian Xin Xin Jian