bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction for Insurance Premiums Based on Random Forest and Multiple Linear Regression
Authors: Zhang Tingyuan
Published: March 2023

Insurance benefit forecasting is very important for insurance, and research on insurance benefit forecasting has been going on all the time. This paper aims to find an efficient and simple model for predicting insurance benefits based on multiple linear regression and machine learning scenarios. To be specific, in the process of prediction, random forest and linear regression are used as prediction models. Through the comparison and analysis of the results, it is found that the random forest is more accurate in predicting the results but lacks interpretability. Although linear regression is not as accurate as random forest, it can clearly explain the model and facilitate analysis and discussion. Although the two models have their own advantages. Based on the comparison and analysis, they can provide some help in referring to whether to use these two models. These results shed light on guiding further exploration of predicting insurance benefits in a simple way.
The Impact of Financial Technology on the Financial Value of Enterprises
Authors: Huang Yipeng
Published: March 2023

In the context of the scientific and technological revolution and industrial transformation, financial technology has developed vigorously, solving the problem of financing difficulties for SMEs. And it enables SMEs to develop smoothly and improve self-value. So, it is of great importance to go deeply into the impact of financial technology on the enterprise’s value. Based on the financial data source of Chinese A-share listed companies and the digital inclusive financial index of China’s provinces and cities from 2013 to 2020, this paper uses the two-way fixed effect model to explore the relationship between financial technology and the financial value of enterprises. This paper finds that the development of financial technology can effectively enhance enterprises’ financial value. Therefore, enterprises should correctly use the advantages brought by financial technology to achieve value enhancement, which is of great significance to most enterprises.
The Impact of Rising Oil Prices on New Energy Vehicle Sales
Authors: Chen Shuxiao
Published: March 2023

Will higher oil prices lead to higher sales of fuel-cleaned cars? To answer this question, this study tries to find out the correlation between oil prices and new energy vehicle sales. In order to gather information on the recent increase in oil prices, the volume of new energy vehicle sales since 2022, people's decrease in the use of gasoline vehicles as a result of the increase in gasoline prices, and local government policies on new energy vehicles, this research applies the method of data gathering and avoidance with new energy vehicles as the object. It is concluded that with the rise of oil prices, new energy car sales are also increasing, which can make new energy vehicle manufacturers better understand the demand for new energy vehicles. It may also reflect the rising trend in new-energy car popularity. In order to guarantee the constant expansion of new energy vehicles, the government must simultaneously develop a number of measures.
How Does Abortion Affect US Economy?
Authors: Xue Yiyi
Published: March 2023

The analysis for this report was based on a study of the potential economic effects of an abortion ban in the United States in 2022. This time, by focused mostly on researching how the abortion restriction affected the female group, how the female group affected economic development, and how well the abortion ban affected that development. There are three models in total—two AD-AS models and one Phillips curve model—were employed in this investigation. According to the whole research, the adoption of the abortion ban would result in economic fluctuations and, ultimately, bad impacts. Overall, there are three detrimental effects on the American economy: the higher expense of pregnancy reduces purchasing power; the loss of human capital from illness and death; and the imbalance of gender equality at work increases unemployment. The analysis's concluding finding is that the United States experience with abortion is a barrier to its economic growth.
How Chinese Sports Brands Use the Olympics for Marketing: Case from Anta
Authors: Mu Junyan , Xu Yunsheng , Zhang Wenze
Published: March 2023

For most well-known companies, in addition to the pursuit of brand sales, brands also focus on brand culture and brand image building so that a company can be sustainable in development and gain a competitive advantage. For sports brands, showing themselves in significant events is a moment that can reflect their brand image. The Olympic Games are arguably the most important among many sporting events. This article focuses on the strategies adopted by Chinese sports brands during the Olympics and how to maximize the benefits of the Olympics for their brands. Through the analysis of different case studies, we find that the Olympics is an excellent marketing opportunity for Chinese sports brands to promote their products, increase their sales, build their brand image, and make their brands more visible to more people. At the same time, they also found the limitations of marketing with the help of the Olympic Games, which may need external help to solve or internal self-coordination of the company.
How the app designs influence the app use and optimization measures in Chinese internet market
Authors: Yan Yibin
Published: March 2023

With the rapid expansion of Chinese Internet mobile app market, being conscious of the mobile app success determinants performs a vital aspect for enterprises. To overcome the common strait that many enterprises fail to achieve profitability by exploiting commercial mobile applications on account of few app downloads and low customer utilization rate, this essay mainly focuses on the predicament that application operation is confronted with in the current Chinese mobile app market and interprets three general interfering factors affecting app profitability. With selected data and correlation analyses, it confirms the impact icon's aesthetic design, customer satisfaction and customer loyalty on improving the profitability of mobile applications. According to the research results, some feasible optimization measures are proposed for mobile application developers. The results could help assist entrepreneurs in making profits by improving app user utilization. However, some objective factors and limitations are ignored in the discussion of influencing factors and more in-depth researches are suggested.
Changes in Real Estate Market in Recent Years – A Study Focusing China’s Real Estate Market
Authors: Wang Nini
Published: March 2023

This article will take China's real estate market as an example, specifically analyze the great changes in China's real estate market during recent years. By performing data analysis of recent growth trend, the industry scale, profit growth rates and other factors reflect a downward trend in the housing industry. The reason of this market depression will be explored from four perspectives, one of the main reasons for this is the increased regulatory efforts of the Chinese government in the last two years. Several suggestions will be made based on the discussed reason of depression, which include the promotion of development of ESG, the relaxation of policy and re-employment.
The Impact of COVID-19 on the Air Transport Industry
Authors: Yan Jingfei
Published: March 2023

Since the founding of the People's Republic of China, China's civil aviation industry has been developing rapidly and occupies an important position in the country's economy and transportation, at the beginning of 2020, the world broke out in a large-scale epidemic -- COVID-19. During this period, all walks of life suffered a huge impact. A large number of enterprises went bankrupt due to high risk and insufficient response capacity. What are the major effects on the financials of company and what are the main reasons that cause this substantial change? With the liberalization of national policies and the transformation of the epidemic, tourism has gradually recovered. Nowadays, this kind of topic becomes more and more popular, some people have become interested in what’s going on of the airline company especially the stocks. To see how the China Southern airline worked and operated to affect the financials during COVID-19, that is the reason why this paper needs financial analyze to tell people.
Research on the Procedure Construction of China’s Personal Bankruptcy System
Authors: Li Mingxiang
Published: March 2023

Nowadays, the establishment of a nationwide personal bankruptcy system as soon as possible has been a unified view in academic circles. However, the specific setup of this system and the connection and interaction of various supporting systems are still hot issues of academic controversy. From the initial exploration to the continuous prosperity of the local pilot works, the rich pilot experience provides a practical basis for theoretical research. At the same time, new reform trends and changes have emerged in the international frontier legislation. Therefore, this research attempts to give suggestions for the procedural design of the establishment of a national personal bankruptcy legal system in China. Drawing on new experiences and new models domestic and abroad, the selection of personal bankruptcy procedures should adhere to liquidation as the criterion, and attach importance to the role of reorganization, as well as maintain the stability of social and economic order and promote the development and improvement of the legal system.
Investment in the Covid-19 Period
Authors: Shan Peiyuan
Published: March 2023

From 2019 to 2022, the covid-19 pandemic has lasted for three years. Its impact to society activity and economy is prominent. As a result, investors must change their investment strategy to suit the new environment. In this research, I used Markowitz model and Index Model to analyze the past data I collected and handled from past years in some specific conditions and the current information, like the impact of covid-19 to supply chain and Ukraine war, to correct the simulation coming from these two models. By the Markowitz model and Index model, people can find the weights of stocks in portfolio that can help they get maximum expected return over risk rate and minimum risk. Of course, people can some other suggestions from these weights, like which sector’s stocks is more stable or has higher interest rate. Additionally, I concluded some investment suggestions about the investment direction and strategies from some articles. They include the relationship between government debt and financial debt, impact of Covid-19 to different sectors, spread of collapse, natural resource volatility, investment diversification, value of bitcoin for investment, and others.
Implications and Challenges of Carbon Pricing
Authors: Xiayimulati Aruna
Published: March 2023

With the global climate crisis looming, the public look forward to the Paris Agreement setting countries on a new path to reduce global warming. Carbon pricing policies are the most cost-effective or "first-best" response to climate-related externalities and are a way to achieve greenhouse gas reductions across countries. This paper first introduces the mechanism and classification of carbon pricing in detail, then reviews the influence of carbon pricing in the field of energy and finance, and finally sorts out the existing challenges of carbon pricing. In energy, carbon pricing will promote the transformation of traditional coal energy to clean energy. In the financial field, the combination of carbon pricing with carbon finance and carbon market will help the implementation of carbon pricing policies. At the same time, carbon pricing faces some challenges in political environment, citizen acceptance, international unified normative system, and other aspects. Although there are still some challenges, carbon pricing plays an indispensable role in climate policy implementation and research and global sustainable development. It is foreseeable that carbon pricing has broad prospects in measures to reduce carbon dioxide emissions and combat climate change.
The Impact of Extreme Weather Events on the Economic Performance
Authors: Su Nuoyi , Wen Haotian
Published: March 2023

With the increasing number of populations, the environment on the earth is seriously damaged, leading to a lot of weather disaster such as extreme high temperature in summer, global warming and so on. These events have a considerable number of impacts on human, especially for economy. This paper represents a comprehensive review of research dedicated to the effects of weather events on economy. During the research, a considerable number of papers about the impact on the economy were referred. Based on the statistical data and deeply analysis, it can be found that weather have a lot of negative impact on both agriculture, industry, and energy consumption. In the future, with the development of machine learning algorithms, and cloud computing, the simulation of chaotic systems such as weather and climate will be more accurate. Climate change poses great challenges in economics, and it is the largest and broadest market failure phenomenon so far. Therefore, it is necessary and urgent to study the economics of climate change.
Research on the Influencing Factors of NBA Players’ Salaries
Authors: Wei Keyan
Published: March 2023

Currently, most of the studies are discussing the imbalance of NBA salaries, and only a few will actually take a closer look at what aspects of a player's capability can significantly affect their salary, which is what would be mainly discussed in this report. For NBA this mature business league, earning high salaries is the common goal of all players. However, due to the limitations such as the NBA salary cap, each team is limited in the total amount of salary they can allocate to their players. For team owners, determining a player’s value through scoring, defenses, and shooting percentage is vital. Players, need to learn what they can do to earn more, such as improving their defensive efficiency or grabbing more rebounds. Each team needs different types of players, such as three-point shooters, organizers, or players who own leadership. Next season, the salary cap for NBA teams will be around $123 million and each team will have around 13 players. Team management will need to evaluate the value of every individual. For example, they will evaluate a three-point shooter in terms of three-point percentage, percentage of shots taken, number of threes per game, etc. The main purpose of this paper is to analyze the potential reasons for the income distribution of the league, which is conducive to enhancing the understanding of the pattern for the player side, and help the owners to take advantage of it, and better allocate their resources.
Correlation Analysis and Optimal Portfolio in UK and US Stock Markets- Based on Copula-VaR Function
Authors: Long Yuxin
Published: March 2023

Studying the correlation between the various stock and selecting the risk of the optimal portfolio are the key topics of current research. In the macro field, it is a further problem with delving into the correlation in the different stock markets. The researchers found that the copula function can break the restrictions of traditional normal hypothesis and linear correlation, which has a significant advantage in studying the correlation of the stock market to choose the optimal portfolio. This study employed S&P500 to represent the American stock market, FTSE to represent the British stock market, model and select the best copula function through copula function, and applied risk management (VaR) analysis to obtain the best portfolio to select British and American stocks. The research results show that the student’s t Copula function of the five copula functions best fits the two stock markets in Britain and the United States. The correlation between them reveals a descendent trend from the extreme upward stage to the extreme downward stage. Finally, it is suggested that investors choose 60% FTSE and 40% S&P500 for their investment portfolio.
Using RFM model to help mobile phone dealer to find their target customers in China
Authors: Wang Junyang
Published: March 2023

Target customer positioning is the first step for enterprises to develop market strategy. After the completion of user positioning, through the analysis of specific groups, we can accurately know the consumption habits and thinking process of users, which will bring great help to the precision marketing of businesses and reduce operating costs. This paper focuses on using RFM model to help Chinese mobile phone dealer to find their target customers and create a portrait of the target consumers. This paper analyses 263352 different customers with 10 different brands and discusses the valuable cell phone consumers. The result shows Guangdong, Shanghai and Beijing have the highest sales, volume, and number of customers. The top five mobile phone sales are Samsung, Apple, Xiaomi, Huawei and OPPO, among which Samsung accounts for more than half of the share, and Apple accounts for about a quarter. The analysis found that the purchase of Samsung and Apple phones by all age groups and by men and women was relatively average. It was also found that Guangdong, Shanghai, and Beijing accounted for more than 50% of the sales. The percentage important value customers accounts for about 50% of the important customers, which is higher than the average percentage of other e-business products. Despite the sluggish sales figures, mobile e-commerce is still an industry with great potential.
Analysis of Tesla's Business Strategy in China
Authors: Shan Liang , Wang Nongyi , Xu Junsheng
Published: March 2023

With the outbreak of the COVID-19, the rise of the peers, and the spread of public opinion, Tesla has constantly adjusted its strategy to improve its producing technology, and they’re creating more and more sells amount. However, Tesla is facing severe international competition these days. This paper will start from three aspects of Tesla's current difficulties: business strategies, influencing factors on the price of Model 3 products, and adopts the method of literature research to study Tesla's competitive strategy. The research results show that Tesla's problems in quality control and after-sales, as well as independent research and development of new energy batteries are the biggest challenges Tesla faces. This study establishes an important development strategy for new energy vehicles represented by electric vehicles, which brings opportunities for the promotion of new energy vehicles and is conducive to the promotion mode and experience operation of Tesla's new energy vehicles in the Chinese market.
Prediction of Gold ROI Based on LSTM model
Authors: Sheng Haoran
Published: March 2023

The developed financial market system must develop the gold market and play an important role in the financial market. Like other financial markets, the gold market also faces the risk of price fluctuation. Although gold has the monetary attribute, its own value is stable, and it has the hedging function, the price of any commodity always fluctuates around its own value, and the market risk caused by gold price fluctuation is inevitable. At the same time, the gold market trading products are almost homogeneous, which determines that the price of gold in the domestic market and the domestic and foreign markets cannot deviate too much, and the existence of certain price differences between different markets will lead to arbitrage between markets. Therefore, it is necessary to forecast the gold yield. Based on this, this paper uses LSTM model to forecast the price yield of gold. The research results show that the price of gold will still fluctuate in the near future. This research has certain theoretical and practical significance for the application of LSTM model in the financial field.
The macroeconomic influence of the government's reduction of taxation in a closed economy
Authors: Xu Qiya
Published: March 2023

As the world's economies develop, governments always use economic policies to achieve specific economic objectives like decreasing the unemployment rate, improving economic growth, maintaining price stability, and deteriorating the current deficit. Also, tax changes could be one of the standard government policies. Moreover, with the changing taxation in a closed economy, some variables must be influenced. For example, the output and the rate of employment might change. This essay synthesizes several pieces of literature to discover the impacts on output and employment if the state cuts taxes. Based on these works, employment could rise when the government reduces the tax, the short-run output might increase, and the long-run output will be stable. Furthermore, economists may utilize these findings to make better national financial plans.
Application of the Markowitz model in Construction of Optimal Portfolio in the US stock market
Authors: Chen Yunqi , Lu He , Yu Taize
Published: March 2023

The optimal portfolio has always been a popular topic in the financial field, and there are many different models to choose from. The Markowitz model is one of the commonly used models. This paper aims to find the optimal portfolios by applying the Markowitz model to a group of ten different stocks from three different sectors and comparing the model's performance under different constraints. In this paper, the Markowitz model is adopted for analysis, and the model is compared under the two constraints by calculating the minimum variance frontier and the highest expected return, and finally finds the best investment portfolio. The study concludes that the model behaves better under the SPX index constraint and has a higher expected return. Therefore, the SPX index should be considered when constructing an optimal portfolio of multiple different stocks to obtain a higher expected return.
Analysis of China's economic response in the context of the COVID-19 pandemic
Authors: Sun Wanxu
Published: March 2023

At the end of 2019, the COVID-19 pandemic broke out in a big way and soon spread across the world. Among other things, another pressing concern for the entire society is how the outbreak will affect the national economy. One of the main areas of study in today's society is how the epidemic will affect the economy. Researchers have investigated the significant impact of the Chinese economy on the New Crown epidemic, yet current explanations of the impact are rather scattered. Therefore, the effect of the epidemic on China's real economy serves as the study's central focus. In this paper, GDP data is collected and analyzed in a comparative manner. The results show that the real economy was severely affected by the decline in GDP due to the epidemic. At the same time, the article discusses fiscal and monetary policies and analyses how solutions can help people and businesses.
The Reasons for the Four Circuit Breakers in U.S. Stocks and Their Impact on China
Authors: Chi Yanqin , Yang Aiyu , Zhang Qiyao
Published: March 2023

Noticing the halt performed by circuit breaker which is a mechanism applied to help investors making more phlegmatic decisions in the US stock market occurred 4 times in just one month, the research is going to find the reasons why there were several times of declines on stock’s prices out of range frequently and find out the impact of occurrence of this phenomenon on Chinese market trading domestically and globally as well as people’s standard of living. The project analyzed the argument of the mechanism of circuit breakers that it worsens the instability in the stock market and the anxiety of consumers. Besides, although there were some be influence on Chinese economic growth and people’s behavior to some extent, China attempted to take government measures efficiently to overcome the negative effects by US stock’s fluctuations and Covid 19. Global organizations felt confident of the economic recovery in China in the long term.
Predicting IPO Performance from Prospectus Sentiment
Authors: Ni Senhao
Published: March 2023

With the development of society, how to apply artificial intelligence in finance becomes a hot topic. IPO performance is the most significant part of these areas. Therefore, this paper aims to use sentiment analysis to predict the IPO performances in the Hong Kong stock market. In specific, 6 machine learning models are trained, namely Random Forests, Decision Tree, Naïve Bayes, Logistic Regression, LightGBM and a stack model to predict the direction of Hong Kong stocks IPO performances (positive, negative, or little change) in 3, 5,10, 20 and 30 days after their IPOs. This paper will compare all the models with a baseline model which generates random guesses for the direction of IPO performances to conclude about which model works better and which one is more predictable. This paper will show that instead of logistic regression, random forest performs relatively the best across all Ys, and this may be due to the different sample size.
Adjusting the Business Model of Fresh E-Commerce with the New-Retail Concept Based on Osterwalder Business Model Canvas—Taking Freshippo as Exemplar
Authors: Deng Shaofan , Yang Shudi , Zhong Jiatong
Published: March 2023

With the emergence of various digital technologies, including big data and the Internet of Things, fresh e-commerce has gained new momentum especially after it became a fundamental demand during the COVID-19 pandemic. Freshippo, as Alibaba’s first fresh e-commerce company with the practice of the new-retail retailing method, its current business model and successful experience in the front end of fresh e-commerce have great analytical value. This paper takes Freshippo as the primary research subject, applies a case study analysis, and conducts a survey to collect customer feedback for Freshippo. This paper initially states the existing research result in business-to-customer(B2C) and new-retail retailing methods, then systematically analyzes Freshippo’s current operating condition based on the Osterwalder business model canvas. With the further support of survey feedback, three main issues that occurred in Freshippo’s ongoing operation, including limited payment method, excessive expansion cost and frustrating user experience have been revealed. In the end, this paper not only offers corresponding potential solutions for Freshippo but also provides proposals for other Freshippo-alike corporations.
Portfolio Investment Optimization based on Markowitz Model and Index Model Under 4 Constraints, a comparative approach
Authors: Pu Fanqi
Published: March 2023

Since early 2020, global economy and financial markets have faced enormous turbulence due to the spread of COVID-19. Against this backdrop, this paper is drafted to help investors better understand portfolio management by finding how various constraints affect asset allocation under two dynamic modeling: Markowitz and Index. Raw data of ten stocks from four popular sectors and the SPX500 are collected as the source of this paper. By processing raw data and using the processed data, this paper reaches the conclusion that the stock market stays resilient to external shocks. As mentioned, there are two models that would be the focus of this paper: Markowitz Model and Index Model. Both of which would be analyzed under one non-constrain and four simulated constraints to examine portfolio performance. Comparing the results, Index Model generates higher numerical results with respect to associated risk than these produced based on the Markowitz Model. On the other hand, the portfolios constructed based on the results of the Index Model performs better under most of the constraints than the ones based on the Markowitz Model in terms of Sharpe ratio. Based on the concluded results, this paper meets by demonstrating stock investors a potential approach to mitigate risks during unexpected shocks with broad impacts.
Strategies Available to Companies in Political Disputes: A Study of Boeing's Problems in the U.S.-China Political Confrontation
Authors: Bi Wenkai , Shen Yutong , Zhong Xiaran
Published: March 2023

Since the disintegration of the Soviet Union, the world's second largest economy at the time, the ever-growing China has begun to attract the attention of the United States. The United States has used various methods such as trade wars and wooing China's neighboring countries to contain China's development, and at the same time, the geopolitical conflict between China and the United States has become increasingly fierce. While the U.S. approach has curbed China’s economic growth, it has also adversely affected U.S. companies such as Boeing that have cooperated with China. This paper analyzes the impact of geopolitical tensions on Boeing and what Boeing can do to reduce the impact of geopolitics on the Boeing commercial aircraft market. To answer this question, this paper conducted a market position analysis of Boeing, studied official Boeing reports and other papers, and analyzed Boeing in terms of market and non-market aspects. The results show that U.S.-China geopolitical conflict has reduced Boeing's trade with China. The results also suggest that there is hope for a improve of Boeing's relationship with China if Boeing uses appropriate market strategies as well as non-market strategies.
The Value of Second-hand Basic Passenger Vehicles Based on Factor Analysis
Authors: Li Tian , Sheng Shuyue
Published: March 2023

Contemporarily, applications of big data analysis have been implemented to many fields, and the discussion on its theoretical concept and application value is unprecedented. The financial sector is also actively promoting digital construction. To be specific, the construction of financial digitalization is conducive to breaking the drawbacks of traditional accounting, realizing the deep integration of business and finance, and improving the work and efficiency of accounting. Moreover, with China's economic development, the private car ownership will maintain a strong growth momentum. In this paper, we investigate the value of secondhand basic passenger vehicles based on factor analysis. Specifically, data of used cars is used to analyze the influencing factors of second-hand car price. According to the analysis, it is concluded that the used car price factors are Performance factor, time factor and manipulation factor. Moreover, sellers should establish a service system to ensure the quality of second-hand cars and make a reasonable price. These results shed light on guiding further exploration of setting reasonable prices for used cars.
A Study on Sustainable Energy from the Energy Crisis
Authors: Ma Cindy
Published: March 2023

This text explores the effect of Tesla on sustainable energy and how the company lead a green revolution in the automobile industry. With the Russia- Ukraine war, European countries are facing an energy shortage. Moreover, more and more Europeans are expecting a ‘colder’ winter this year due to soaring prices of gasoline. Electric vehicles, which produces fewer greenhouse emissions and air pollutants, became an considerable option for many under the influence of Tesla—and sales of Tesla vehicles also demonstrated this. For the past four years, Tesla revenue has increased by 120%, and the average wait time for the Model X ranges to over a year. We perform a company analysis of the Tesla’s financial statements and draw a conclusion on whether Tesla is a good company, a good investment, or both by looking at its revenue growth, current ratio, profit margin, and price to earning ratio. Through trend analysis, Tesla showed strong strength in an increasing trend. With cross-sectional analysis across the automobile industry, we suggest investors to hold before they purchase a Tesla share.
An Empirical Study on the Impact of Corporate Governance Level on Investor Confidence Under the Supply Chain Finance
Authors: Jin Yuqin
Published: March 2023

With the rapid development of cloud computing and financial technology, supply chain finance gradually takes a significant role at the financial market. More investors consider that as the future trend of enterprising growth. There is no denying that boosting investor confidence is the foundation for a capital market to achieve sustainable development. Does the quality of corporate governance affect investor confidence? Based on theoretical and empirical analysis, investor confidence is affected by managerial compensation, managerial shareholding ratio, independent director ratio and board size. Moreover, in the sample of A-share listed companies in China stock market in 2017-2021, corporate governance level is constructed as a synthetical indicator by using PCA to investigate its impact on investor confidence under the supply chain finance model. The results show that the higher the corporate governance level, the stronger the investor confidence. Based on the above findings, a series of recommendations are put forward aimed at improving the government's regulatory capacity as well as corporate governance level.
Comparison of the Pricing Model for Different Types of options
Authors: Zeng Xianglong
Published: March 2023

Contemporarily, option is one of the widely used underlying assets to hedge the risks and construct portfolio in finance field. As a matter fact, with different regulations and trading rules of various transaction center around the world, there are plenty of types of options. On account of the differences in the trading rules, the option pricing models vary a lot. On this basis, this study will select three common types of options (i.e., European option, American option, and Asian Option) in order to detailly demonstrate the differences in the pricing. To be specific, the formulae as well as the empirical analysis will be presented to vividly prove the statement. According to the analysis, the differences between the pricing procedure and models will be exhibited. In addition, the current drawbacks for the models will be illustrated and suggestions for further study will be clarified accordingly. Overall, these results shed light on guiding further exploration of option pricing from the theoretical as well as empirical sides.
Portfolio Construction Based on the Modern Portfolio Theory Including Gold, Crude Oil and Cryptocurrency
Authors: Wang Lei
Published: March 2023

Finding and optimizing the best investment strategies is one of the most important skills in financial markets. However, the research on the construction of different types of investment portfolios including stocks, goods, and cryptocurrency is not perfect enough. This article constructs an optimal portfolio utilized Modern Portfolio Theory and Sharpe ratio. Based on the price data of two stocks in China Securities Index 300, three stocks in Standard and Poor's 500, Gold, Crude Oil and Bitcoin, the portfolio of 8 kinds of price data are simulated and calculated. A variety of optimal investment portfolios have been constructed, including the minimum risk investment portfolio and the highest Sharpe ratio investment portfolio. In addition, by setting the lower limit of the expected rate of return, the lowest-risk investment portfolio with customized expected rate of returns is obtained. Nevertheless, an attempt was made in the article to construct investment strategies for different types of investment projects. These results shed light on guiding further exploration of portfolio construction with different type of stock or goods.
The Comparison of Technology Stocks between America and China in Portfolio Management
Authors: Wu Tienyu
Published: March 2023

The difference in technology stocks between different countries has been a topic that has been well thought out. This paper analyzes six representative stocks in the US and China, such as APPL, META, GOOG, and NTES, BIDU, and BABA in the US, and the paper analyzes them in depth by CAPM model and FF3F model. The paper calculated the expected return for the CAPM model and FF3F model and balanced the risk and expected return by the Sharpe ratio to find the technology stocks with the least risk and the most benefit. The results show that the CAPM model and FF3F model can balance the risk and expected return very well. Second, on balance, U.S. technology stocks generally perform better than Chinese technology stocks, with APPL and GOOD being two of the best performing U.S. technology stocks, as seen in both previous data and current expected return, beta and weights. These findings should be useful for investors interested in China and the US technology stocks.
New Energy Vehicles Industry Stock Price Prediction Based on ARIMA: Tesla, NIO and BAIC BluePark
Authors: Li Runxin
Published: March 2023

Stock price prediction plays a main role and serve as a key for quantitative analysis and investment in financial field. With the boosted of various state-of-art statistical approaches as well as computing strategies, various forecasting scenarios have been proposed. Among numerous prediction schemes, ARIMA is one of widely implemented and explored models. On this basis, this study presents extensive process of predicting stock price based on the ARIMA model. The stock prices of Tesla, NIO and BAIC BluePark in new energy vehicles industry are collected from investing.com and money.com and used for prediction. The parameters of ARIMA model which is p, q and d ranging from 0 to 4. According to the analysis, it is feasible for short-term forecasting in new energy vehicles industry and is competitive with other forecasting models in helping both institutions and individuals’ investment. To be specific, the predicted stock price is close to the actual data and institutions and individuals can make profitable decisions based on the results. Overall, these results shed light on guiding further exploration of price forecasting of underlying assets.
Predicting the Price of Bitcoin, Dogecoin and Ethereum by Machine Learning
Authors: Liao Siyi
Published: March 2023

Contemporarily, blockchains and cryptocurrencies have gained their popularity among investors and hedge funder, where both have bright prospects. On this basis, cryptocurrencies have been used in trading more and more with the development of website and computer. In this case, their prices fluctuations do have great significance to the public. This paper chooses three machine learning model (i.e., XGBoost, LightGBM and Linear Model) to predict the price of three cryptocurrencies (i.e., Bitcoin, Dogecoin and Ethereum). To be specific, this study uses the data from 2020-01-01 to 2022-12-07, including close price, open price, high price, low price, and the volume of trading coins. According to the analysis, Linear Model can predict the price best, with well-fitted trend prediction and accurate price prediction. In addition, other models can also have good predictions but they are not better than Linear model. These results can help others to predict the price of cryptocurrencies and have a deep understanding of cryptocurrency and machine learning.
Cryptocurrency Price Prediction Based on ARIMA, Random Forest and LSTM Algorithm
Authors: Pan Linxi
Published: March 2023

Price prediction of cryptocurrencies is bound to get more opportunities for investors engaged in digital currency-related industries in order to earn more revenue. In the traditional forecasting methods, the problem of the high volatility of bitcoin price needs to be effectively solved, making the forecasting accuracy become low and ineffective. Due to the rapid development of artificial intelligence technology, more and more relevant algorithms were used for cryptocurrency price research. This study would compare and analyze the prediction effect of the ARIMA time-series model, the Random Forest algorithm of machine learning, and the LSTM algorithm of deep learning algorithm on cryptocurrencies price prediction to assist investors in making investment decisions. In this paper, five years of time-series data of Bitcoin, Ether, and Dogecoin is obtained from 2018 to 2022. Then, the training set and testing set are separated with 0.8:0.2 to test ARIMA, Random Forest, and LSTM algorithms. To evaluate the model, the mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), and decidability coefficient (R2) are chosen as metrics to measure the prediction of each prediction model precision. Comparing the experimental results, the prediction accuracy of LSTM is better than that of Random Forest, and the prediction accuracy of Random Forest is better than ARIMA model. These results shed light on guiding further exploration of significant to cryptocurrency industry practitioners and visitors.
Improvements of Stock Price Prediction Based on LSTM by Fama-French Five Factors on Market Capitalization
Authors: Yang Chuyue
Published: March 2023

Stock price prediction refers to determining the trend of a budgetary trade's stock projection. The precise prognosis of offer value growth will urge greater profit for speculators. The research based on previously obtained massive data with the use of AI techniques is applicable to a variety of disciplines. The primary goal is to create an analysis for the purpose of producing well-quality information that will be beneficial for decision-making. There are several machine-learning approaches with varying degrees of accuracy. However, choosing of the optimal technique to attain the maximum level of precision is an important requirement. The LSTM techniques are supervised learning-based and will require training to increase accuracy. This paper adopts LSTM algorithms combining with the Fama-French five-factors (FF5F) daily to the daily close price prediction of 10 companies represent as large and small market capitalizations from October 31, 2012 till October 28, 2022. It determines the relationship of the proposed LSTM model and market capitalization of companies. The results reveal that the LSTM model combined with FF5F for the low market capitalization companies outperforms the large market capitalization on stock price prediction.
Study on green economic development path under the carbon neutrality target
Authors: Zhao Zhiyan , Yu Dongxiao
Published: March 2023

Green economic development is an inevitable trend of social progress. The target of “carbon neutrality” can’t be achieved simply by conserving energy and reducing emissions, but needs to realize a higher-level development under the “low carbon” threshold. As the key and essence of national development, how to give a full play to the economic function and achieve green economic development is not only a realistic requirement of social high-quality development but also an indispensable important component of green economic development. This paper studied the concept of “carbon neutrality” and green economy, the necessity of green economic development, the merit of realizing green economic development under the background of “carbon neutrality”, and the development path of green economy under the carbon neutrality target, in order to provide some reference for China’s green economic development.
The current situation of Chinese family education consumption expenditure changes
Authors: Liu Yuge
Published: March 2023

In order to improve the quality of talent training, let the young students in all aspects of ability and literacy are further improved, the parents in the family education consumption expenditure of the capital has shown an increasing trend, which makes the family education consumption expenditure gradually become an important part of the family consumption expenditure.Under the background of the issuance and implementation of the double-reduction policy, the educational ideas of parents and schools are constantly innovating, and parents also pay more attention to the rationality of education consumption.By analyzing the characteristics of the current family education consumption expenditure and the factors that affect the family education consumption expenditure, we can work out a more reasonable family education consumption expenditure strategy and provide a better education consumption idea for the majority of parents.
Comprehensive Investment Value Analysis of Beer Industry Companies
Authors: Cao Siyu , Chen Siyu , Li Wenyan
Published: March 2023

Due to the introduction of numerous alternatives and consumers becoming more health concerned, beer sales have declined recently. But it is still one of people’s daily consumption. Budweiser and Heineken are global leaders in the beer sector with approximately a third of the market share. Carlsberg, Tsingtao, Snow Breweries, Asahi, and other companies have market shares that aren’t that different. The top corporations in the beer business, including Budweiser, Heineken, and Tsingtao are the specific objectives of this study. The report’s goal is to assist investors in making investment decisions by calculating the financial ratio and analyzing the performance of the company. The study found that all three companies had successful financial operations. Budweiser and Heineken are two excellent options for investors looking for a low-risk, sound investment; Tsingtao can be the first choice for investors who can accept higher risk.
Research on the Judicial Application of The Punitive Damages System for Environmental Infringement
Authors: Huang Luyao , Wang Yizi , Wang Yufei
Published: March 2023

Under the initiative of "a community with a shared future for mankind", the discussion of ecological environment protection is growing nationwide, and the legal issues that follow have also received more attention. For this reason, China has introduced the system of "punitive compensation" into the field of environmental tort in Article 1232 of the Civil Code to achieve the effect of ecological environmental protection. This paper will study from the perspective of comparative law, through comparing the legislative research and judicial application of punitive damages for environmental tort in China and the United States, and then clarify the legal regulation path of punitive damages for ecological environmental tort, and further improve the legal framework of punitive damages system.
Impact of the Coronavirus (COVID-19) on Major Northern Hemisphere Stock Markets
Authors: Sun Hongyang
Published: March 2023

As is known, the stock market plays a critical role in the development of economy all over the world even during the epidemic of Coronavirus (COVID-19). The economic risks posed by the pandemic are even more severe by the high degree of interconnectedness within the modern economic system. This paper obtains a large number of theoretical and analytical results on the impact of the outbreak on stock markets in various continents and different countries. Therefore, this paper primarily summarizes and analyzes the general effect of the pandemic on stock markets of the main countries in the Northern Hemisphere. The results of this paper are based on a review of previous literatures. It is shown that the outbreak has a generally non-positive impact on countries economy and finance, albeit a limited one, and it typically has relatively pronounced and severe effects within the initial stage.
Progress of the Study on the Models of Option Pricing
Authors: Hong Jingqi
Published: March 2023

Option pricing, a core part of options trading, has been fruitfully researched over the years. This article reviews the history of the emergence and advancement of option pricing in terms of a thorough classification of the widely used option pricing models and their empirical studies that follow. The three option pricing models are summarized, including the Black-Scholes pricing model, the tree diagram model, and the Monte Carlo simulation techniques, which have all represented significant progress in the field of option pricing theory. Moreover, the differences between various pricing models are analyzed and compared to show their applications and to provide an outlook on future work in this theory. It is vital to carry out some research on option pricing in order to better suit the preferences of investors. In order to meet the continuous development of financial markets, valuation of financial derivative securities is the key to effective investment in risky assets.