Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00032
Qian Wang
Under the framework of behavioral finance, the modeling idea of the SIS epidemic model is used to study investors’ behavioral contagion affecting the capital flow of the stock market. An index model of the stock market is established and stability of equilibrium is analyzed. The threshold theorem applicable to the stock market is obtained. This paper quantifies the behavioral contagion of investors by defining the investment infection rate and the investment removal rate. The model built on this basis can more accurately describe the behavior of investors in actual investment decision-making and its impact on stock indexes. Both the theoretical research and empirical analysis indicate the rises and falls of the stock are consistent with changes in the proportion of the infection rate and the removal rate, revealing a clear positive correlation and the dominant nonlinear relationship. Finally, the Granger causality test is carried out, and the results show that investor behavioral contagion is the cause of the stock market’s rise and fall changes. Investor behavior contagion affects the stock price, but the stock price changes are not the cause of contagious changes in investor behavior.
{"title":"An Index Model of Stock Market Based on Investors’ Behavioral Contagion","authors":"Qian Wang","doi":"10.1109/CBFD52659.2021.00032","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00032","url":null,"abstract":"Under the framework of behavioral finance, the modeling idea of the SIS epidemic model is used to study investors’ behavioral contagion affecting the capital flow of the stock market. An index model of the stock market is established and stability of equilibrium is analyzed. The threshold theorem applicable to the stock market is obtained. This paper quantifies the behavioral contagion of investors by defining the investment infection rate and the investment removal rate. The model built on this basis can more accurately describe the behavior of investors in actual investment decision-making and its impact on stock indexes. Both the theoretical research and empirical analysis indicate the rises and falls of the stock are consistent with changes in the proportion of the infection rate and the removal rate, revealing a clear positive correlation and the dominant nonlinear relationship. Finally, the Granger causality test is carried out, and the results show that investor behavioral contagion is the cause of the stock market’s rise and fall changes. Investor behavior contagion affects the stock price, but the stock price changes are not the cause of contagious changes in investor behavior.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114793547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00107
Xinyi Ruan, Yuejia Zhang, Zhiheng Zhang
Purchasing power parity is a powerful way to measure the currency value of different countries or regions. This strategy has been widely used in forecasting financial foreign exchange markets. Through purchasing power parity's evaluation of the value of currency, we have designed a foreign exchange investment strategy to predict whether to buy currency. We hope that PPP through simulated trading tests will become a good foreign exchange strategy and more people can make profits in foreign exchange market through purchasing power parity strategy. We tested the data of G20 countries from 1999 to 2019, and simulated trading whether these countries’ currencies can be profitable under the purchasing power parity strategy. Through simulated trading tests, emerging markets have performed poorly, and developed markets have performed better than emerging markets. In the developed market, most of the simulated trading has made profits, while the emerging markets all show a loss. Through the stimulation, we believe that purchasing power parity is not a good foreign exchange trading strategy.
{"title":"Currency Market Portfolio Constructions Based on Purchasing Power Parity Strategy and Refinement","authors":"Xinyi Ruan, Yuejia Zhang, Zhiheng Zhang","doi":"10.1109/CBFD52659.2021.00107","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00107","url":null,"abstract":"Purchasing power parity is a powerful way to measure the currency value of different countries or regions. This strategy has been widely used in forecasting financial foreign exchange markets. Through purchasing power parity's evaluation of the value of currency, we have designed a foreign exchange investment strategy to predict whether to buy currency. We hope that PPP through simulated trading tests will become a good foreign exchange strategy and more people can make profits in foreign exchange market through purchasing power parity strategy. We tested the data of G20 countries from 1999 to 2019, and simulated trading whether these countries’ currencies can be profitable under the purchasing power parity strategy. Through simulated trading tests, emerging markets have performed poorly, and developed markets have performed better than emerging markets. In the developed market, most of the simulated trading has made profits, while the emerging markets all show a loss. Through the stimulation, we believe that purchasing power parity is not a good foreign exchange trading strategy.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115133200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00078
Jingzhu Mu, Jinjie Lao
The lookback option is one of the exotic options but the only option that allows investors to reduce risks by looking back at the option period. Compared with other options, it allows the holder to know history when determining when to exercise their option, which reduces uncertainties and solves the market timing problem. However, not many people currently realize the benefits of the option and why they should invest. In the paper, we analyze the lookback option based on its unique characteristics and options theory. We established this paper with the Black-Scholes Merton method by taking Facebook as an underlying asset to simulate the stock price and the payoffs from the fixed lookback call option and floating lookback call option. At the end of the analysis, we concluded that the change of strike price leads to an obvious change to the fixed lookback option and European Option price, compared to the floating lookback option. The change of both spot price and volatility contributes a clear difference to the lookback option relative to the European Option. Besides, the lookback option solves the market timing problems even though with a higher option price. This paper aims to explain to investors that the lookback option is one of the best options for investment.
{"title":"Investigating the Price of Floating Lookback Option and Fixed Lookback Option Based on Facebook Stock","authors":"Jingzhu Mu, Jinjie Lao","doi":"10.1109/CBFD52659.2021.00078","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00078","url":null,"abstract":"The lookback option is one of the exotic options but the only option that allows investors to reduce risks by looking back at the option period. Compared with other options, it allows the holder to know history when determining when to exercise their option, which reduces uncertainties and solves the market timing problem. However, not many people currently realize the benefits of the option and why they should invest. In the paper, we analyze the lookback option based on its unique characteristics and options theory. We established this paper with the Black-Scholes Merton method by taking Facebook as an underlying asset to simulate the stock price and the payoffs from the fixed lookback call option and floating lookback call option. At the end of the analysis, we concluded that the change of strike price leads to an obvious change to the fixed lookback option and European Option price, compared to the floating lookback option. The change of both spot price and volatility contributes a clear difference to the lookback option relative to the European Option. Besides, the lookback option solves the market timing problems even though with a higher option price. This paper aims to explain to investors that the lookback option is one of the best options for investment.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134043620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00048
Liang Chen, Jie Li, Bocheng Zhang
At present, there are some security risks existing in power web system, such as large number of systems, low efficiency of vulnerability identification, poor intelligence level of vulnerability penetration and so on. To solve the problems, this paper studies parallel crawler and multithreaded crawler scanning technology to effectively improve the code and data crawling speed of power web system, so as to improve the efficiency of vulnerability scanning identification. Furthermore, the paper studies the decision-making selection technology of vulnerability feature pattern recognition and vulnerability intelligent detection model of power web system based on LSTM, breaks through the key technologies of semi-automatic outlier sample detection and intelligent vulnerability location and identification, effectively improves the efficiency of vulnerability location and identification, and reduces the labor cost in the process of data processing. Then, based on neural network algorithm, combined with expert experience and exploitation characteristics, the combination rules of parallel and chain are trained. Finally, the deep neural network algorithm is used to judge the feasibility of vulnerability exploitation path, eliminate those paths that cannot be successfully attacked, and improve the success of vulnerability exploitation, so as to improve the ability of intelligent discovery of vulnerability risks.
{"title":"Intelligent Penetration Technology of Power Web System Vulnerability Based on Deep Learning","authors":"Liang Chen, Jie Li, Bocheng Zhang","doi":"10.1109/CBFD52659.2021.00048","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00048","url":null,"abstract":"At present, there are some security risks existing in power web system, such as large number of systems, low efficiency of vulnerability identification, poor intelligence level of vulnerability penetration and so on. To solve the problems, this paper studies parallel crawler and multithreaded crawler scanning technology to effectively improve the code and data crawling speed of power web system, so as to improve the efficiency of vulnerability scanning identification. Furthermore, the paper studies the decision-making selection technology of vulnerability feature pattern recognition and vulnerability intelligent detection model of power web system based on LSTM, breaks through the key technologies of semi-automatic outlier sample detection and intelligent vulnerability location and identification, effectively improves the efficiency of vulnerability location and identification, and reduces the labor cost in the process of data processing. Then, based on neural network algorithm, combined with expert experience and exploitation characteristics, the combination rules of parallel and chain are trained. Finally, the deep neural network algorithm is used to judge the feasibility of vulnerability exploitation path, eliminate those paths that cannot be successfully attacked, and improve the success of vulnerability exploitation, so as to improve the ability of intelligent discovery of vulnerability risks.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131786428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00098
Zhao Qiao
Supply chain management is the basic condition for agricultural e-commerce development, and joint logistics is the inevitable outcome of the e-commerce era. The supply chain management strategy for agricultural e-commerce on the basis of joint logistics is a new mode for marketization of agricultural products. Combining with the application of electronic commerce, B2C platform connects directly to agricultural producers and terminal consumers for logistics cost reducing and supply chain management improvement. This paper will start from the existing problems of agricultural products e-commerce supply chain management, lead to suggestions for the future management of agricultural products e-commerce supply chain.
{"title":"The supply-chain management strategy of agricultural B2C E-commerce on the basis of joint logistics","authors":"Zhao Qiao","doi":"10.1109/CBFD52659.2021.00098","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00098","url":null,"abstract":"Supply chain management is the basic condition for agricultural e-commerce development, and joint logistics is the inevitable outcome of the e-commerce era. The supply chain management strategy for agricultural e-commerce on the basis of joint logistics is a new mode for marketization of agricultural products. Combining with the application of electronic commerce, B2C platform connects directly to agricultural producers and terminal consumers for logistics cost reducing and supply chain management improvement. This paper will start from the existing problems of agricultural products e-commerce supply chain management, lead to suggestions for the future management of agricultural products e-commerce supply chain.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123990925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00070
Liu Yu, Xiaoyan Wu, Zuosheng Zhou
When stocks are traded in the market, the price of stock has a great variation. Therefore, predicting the stock price is a huge challenge. Monte Carlo Simulation (MCS) is a typical method for stock price simulation. However, the serviceability of MCS is still insufficient. In this paper, the serviceability analysis has been done to evaluate the performance of MCS in different stocks price simulation. The results show that the Group 1, Group 5 and Group 8 have the highest predicted return under our condition settings. Among them, PDD has the biggest contribution, and the combinations holding PDD have a good return rate. Besides, the combinations holding WMT have a good performance of resisting risk because the WMT has better stability. The findings illustrate that the performance of Monte Carlo is influenced by stock itself more than the investment combination.
{"title":"Serviceability Analysis of Monte Carlo Simulation for Stock Market Trading Price","authors":"Liu Yu, Xiaoyan Wu, Zuosheng Zhou","doi":"10.1109/CBFD52659.2021.00070","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00070","url":null,"abstract":"When stocks are traded in the market, the price of stock has a great variation. Therefore, predicting the stock price is a huge challenge. Monte Carlo Simulation (MCS) is a typical method for stock price simulation. However, the serviceability of MCS is still insufficient. In this paper, the serviceability analysis has been done to evaluate the performance of MCS in different stocks price simulation. The results show that the Group 1, Group 5 and Group 8 have the highest predicted return under our condition settings. Among them, PDD has the biggest contribution, and the combinations holding PDD have a good return rate. Besides, the combinations holding WMT have a good performance of resisting risk because the WMT has better stability. The findings illustrate that the performance of Monte Carlo is influenced by stock itself more than the investment combination.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130269949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00072
Kun Qian, Yingxue Li
information economy has formed its basic knowledge system and a good situation of integration with other disciplines after nearly 100 years of germination and development. The analysis and research of information economy is becoming more and more abundant. According to certain retrieval conditions, 863 literatures published from 1995 to 2021 are retrieved from CNKI database as data samples. CiteSpace software is used for visual analysis, CO citation analysis and cluster analysis are carried out on these literature data, and the corresponding knowledge map is drawn. This paper makes a comprehensive analysis of the research progress, content system and main application fields of information economics in China, and concludes that it has formed a basic knowledge system and a good situation of integration with other disciplines.
{"title":"Visualization analysis of information economy based on CiteSpace","authors":"Kun Qian, Yingxue Li","doi":"10.1109/CBFD52659.2021.00072","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00072","url":null,"abstract":"information economy has formed its basic knowledge system and a good situation of integration with other disciplines after nearly 100 years of germination and development. The analysis and research of information economy is becoming more and more abundant. According to certain retrieval conditions, 863 literatures published from 1995 to 2021 are retrieved from CNKI database as data samples. CiteSpace software is used for visual analysis, CO citation analysis and cluster analysis are carried out on these literature data, and the corresponding knowledge map is drawn. This paper makes a comprehensive analysis of the research progress, content system and main application fields of information economics in China, and concludes that it has formed a basic knowledge system and a good situation of integration with other disciplines.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122812943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00088
Qiuting Zhao, Yuxi He, Huchuan Zhang
Based on the panel data of SMEs listed on the SME Board from 2014 to 2018, this paper constructs a benchmark regression model and a mediating effect model and conducts an empirical study on the relationship between the development degree of digital financial inclusion in China and the innovation of SMEs listed on the SME Board. The results show that the development degree of digital financial inclusion has a significant positive impact on enterprise innovation, and the promotion effect is more significant for small-scale enterprises. Digital financial inclusion also indirectly affects the level of innovation of enterprises through financing constraints. The results of replacing the digital financial inclusion index with the digital financial inclusion index are still significant. This paper puts forward implementing policies and letting them play a role in the investment and financing field for small and medium-sized enterprises. We should lift financing constraints, improve the efficiency of financing, and vigorously develop inclusive finance suggestions.
{"title":"Does Digital Financial Inclusion Promote SME Innovation? : -- Evidence from SMEs listed companies","authors":"Qiuting Zhao, Yuxi He, Huchuan Zhang","doi":"10.1109/CBFD52659.2021.00088","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00088","url":null,"abstract":"Based on the panel data of SMEs listed on the SME Board from 2014 to 2018, this paper constructs a benchmark regression model and a mediating effect model and conducts an empirical study on the relationship between the development degree of digital financial inclusion in China and the innovation of SMEs listed on the SME Board. The results show that the development degree of digital financial inclusion has a significant positive impact on enterprise innovation, and the promotion effect is more significant for small-scale enterprises. Digital financial inclusion also indirectly affects the level of innovation of enterprises through financing constraints. The results of replacing the digital financial inclusion index with the digital financial inclusion index are still significant. This paper puts forward implementing policies and letting them play a role in the investment and financing field for small and medium-sized enterprises. We should lift financing constraints, improve the efficiency of financing, and vigorously develop inclusive finance suggestions.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124691757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00090
Gongguo Zhang, Zhou Wan
IoT devices have the characteristics of limited performance and mobility, which makes it difficult for traditional centralized security authentication methods to support security authentication in the current IoT environment. In order to cope with these challenges, this paper proposes a security authentication system named iot-chain in the Internet of Things, which provides attribute-based security authentication based on the Hyperledger Fabric blockchain framework. The system contains three kinds of chain codes, namely access code, device code, and policy code. The access code is the main program that implements the user safety authentication method. The device code provides a query method for the URL of the resource data generated by the storage device, and the policy code provides the access control strategy for the administrator user. Combining access control and blockchain technology, iot-chain provides dynamic security authentication management in the Internet of Things. Experimental results show that iot-chain can maintain high throughput and effectively reach consensus in a distributed system.
{"title":"Blockchain-based IoT security authentication system","authors":"Gongguo Zhang, Zhou Wan","doi":"10.1109/CBFD52659.2021.00090","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00090","url":null,"abstract":"IoT devices have the characteristics of limited performance and mobility, which makes it difficult for traditional centralized security authentication methods to support security authentication in the current IoT environment. In order to cope with these challenges, this paper proposes a security authentication system named iot-chain in the Internet of Things, which provides attribute-based security authentication based on the Hyperledger Fabric blockchain framework. The system contains three kinds of chain codes, namely access code, device code, and policy code. The access code is the main program that implements the user safety authentication method. The device code provides a query method for the URL of the resource data generated by the storage device, and the policy code provides the access control strategy for the administrator user. Combining access control and blockchain technology, iot-chain provides dynamic security authentication management in the Internet of Things. Experimental results show that iot-chain can maintain high throughput and effectively reach consensus in a distributed system.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124968492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00101
Heng Li, Xiaoxi Zhu, Xiao Wang
This article introduces a quantitative analysis method of selected stocks with Python. Firstly, the portfolio weight of the six selected technology stocks with maximum Sharpe Ratio was determined. Secondly, the performance of the portfolio according to the historical data was back-tested. Also, Fama-French three-factor model was used to analyze the factors that might affect the stock price and a regression analysis was done on these factors. Through quantitative analysis, the portfolio weights with maximum Sharpe Ratio and minimum volatility of target stocks could be given out respectively.
{"title":"Quantitative Analysis of Stock Portfolio: Taking Six Technology Companies as Example","authors":"Heng Li, Xiaoxi Zhu, Xiao Wang","doi":"10.1109/CBFD52659.2021.00101","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00101","url":null,"abstract":"This article introduces a quantitative analysis method of selected stocks with Python. Firstly, the portfolio weight of the six selected technology stocks with maximum Sharpe Ratio was determined. Secondly, the performance of the portfolio according to the historical data was back-tested. Also, Fama-French three-factor model was used to analyze the factors that might affect the stock price and a regression analysis was done on these factors. Through quantitative analysis, the portfolio weights with maximum Sharpe Ratio and minimum volatility of target stocks could be given out respectively.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128422997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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