bluuebunny/crossref_metadata_2025 huggingface dataset:
How should NFT be valued?
Authors: Wang Xiting
Published: March 2023

NFTs are non-fungible, one-of-a-kind digital assets that are enabled by blockchain technology. Digital encrypted assets known as non-fungible tokens are one-of-a-kind, rare, and impossible to duplicate. A greater variety of use cases, including as digital art, domain names, gaming, collectibles, and others, have been observed recently for NFTs. On a blockchain, like Ethereum, NFTs are created (i.e., minted), and they can be used to confirm ownership of an asset (where it came from, who is the owner, etc.). Data from a joint analysis by Nonfungible.com and L' Atelier BNP Paribas indicates that 2020 In 2018, the overall market value of the NFT market was around $ 338,035,012 with an annual growth rate of 299%. This excludes wash trading and abandoned projects. Some NFTs cost millions of dollars, which is quite expensive. How can the value of NFTs be fairly honestly evaluated is a common question. Let's analyze the history of NFT's evolution before responding to this query.
Preface: 2022 International Conference on Business Management, Marketing and Foreign Trade (BMMFT 2022)
Authors: Timothy Anastasia , Zhao Gang
Published: March 2023

The 2022 International Conference on Business Management, Marketing and Foreign Trade (BMMFT 2022) has been held during November 26-27, 2022 in Frankfurt, Germany. Taking into account the COVID-19 pandemic, this conference was held in person and virtually because of agencies around the world are now issuing restrictions on travel, gatherings, and meetings in an effort to limit and slow the spread of this pandemic. The health and safety of our participants and members of our research community is of top priority to the organizing committee. Therefore, the BMMFT 2022 conference was held via hybrid format.

BMMFT 2022 aims to gather leading business management, marketing and foreign trade, exchange and share their experience and research results in all aspects of business management. It also provides an excellent interdisciplinary platform for researchers, practitioners and educators to show and discuss the latest trends and concerns in the fields of economics, business and marketing management, as well as the practical challenges encountered and solutions adopted.

BMMFT has been an active platform which provides participants to establish business or research relationships and to find the partners for future collaboration. We look forward to seeing you again next year.

The Committees of BMMFT

Frankfurt, Germany
The Influence of Country Size and Population on Country GDP
Authors: Li Xiangyong
Published: March 2023

Gross National Product is the key to reflecting whether a country is strong or not, so many people are very concerned about what conditions GDP is based on. This is also a matter of national concern, so it is possible to know which factors contribute to a country's GDP, and thus the country can judge whether to strengthen these factors. This study focuses on the impact of country size and population on national GDP, so this experiment uses the OLS framework to predict the impact of country size and population on ITS GDP. At the same time, the impact of country size and population on GDP is obtained by recording and calculating. The impact of different factors on GDP is observed by comparison. China adopts the completely random sampling method to select 60 countries from all over the world for investigation and analysis, without personal factors, which can better ensure the accuracy of the results and thus reduce the error. When choosing countries, small countries or countries with small populations are always on the waiting list, ready to be chosen randomly. Through this experiment, we know that population has a more significant effect on the GDP of a country than the size of the country. Of course, this does not mean that the size of the country does not matter. Since the population is a necessary component of our traditional measurement and calculation of GDP, this experiment also proves that the impact of population on GDP is indispensable.
Research on the Commodity Pricing Based on Black-Scholes model and Geometric Brownian Motion model
Authors: Wu Yunze
Published: March 2023

Commodity prices are never easy to forecast in the actual world. To acquire the pricing of commodity options, the price of the underlying commodity should always be anticipated using the commodity future, rather than simulating the price directly. Thus this paper is aimed to directly simulate the commodity price and compare this method to the standard way. The research method are as follows: firstly, collect the original data, then simulate the stock price by using the Black-Scholes model and simulate the commodity price by using the Geometric Brownian Motion model. Last, compare the result. The outcome demonstrates that the stock price may be successfully simulated using the Black-Scholes model using crude oil commodities futures as the underlying asset. The Geometric Brownian Motion model, however, is unable to accurately price commodities directly. This finding implies that it is incorrect to see commodities as a type of financial asset and that models used to value financial assets cannot accurately value commodities.
Using WACC Valuation Method and DCF Method to Study Listed Companies -- Taking Netflix, Mango Excellent Media Co., Ltd and Bilibili as Examples
Authors: Du Fei
Published: March 2023

This paper introduces the DCF valuation method and WACC method to the valuation of film and television companies in different countries and makes an approximate valuation of Netflix in the United States, Bilibili in China, and Mango Excellent Media Co., Ltd. This paper also analyzes the different situations of the three companies from the perspective of their different development environments, their characteristics, and their different profit models. Some suggestions on how to value investment in entertainment industry companies this paper proposed, including the different profit models of the three companies, and some data comparison analysis from 2018 to the present. It is hoped that through the study of this paper, some better improvements can be made to the company value assessment method of the film and television industry so that people can further understand the practical process and method of company value assessment of the film and television industry.
Pricing of Asian Options and Barrier Options for The Microsoft Corporation Based on Monte-Carlo Simulation
Authors: Sun Yujing
Published: March 2023

In the current unstable financial market, option is a popular financial tool to hedge the risk of the underlying asset. Compared with the vanilla options, the exotic options can deal with the more complex requirements of investors. This paper focus on evaluating the Asian options and barrier options based on the data simulated from the Microsoft Corporation. This paper has three main research findings: the first is that it prices the Asian options and four types of the barrier options; the second is that it illustrates the reason for the price difference among the European options, the Asian options and barrier options with the help of payoff diagrams; the third is that it is explain the relationship between these two exotic options and the parameters used in the simulation. This paper would help investors better understanding the difference between the Asian options and barrier options from the perspective of the price and the sensitivity to the parameters.
Investment Value Options for US-Listed Companies in The Media Industry
Authors: Huang Jiayi , Sun Kaibo , Yuan Yuyue
Published: March 2023

At the moment, video-centric applications offer one of the most popular forms of online entertainment due to accessibility and low cost. However, with the annual increase in operating income, cash consumption and continuous loss is also accelerating, and only a few of them can make profits. This paper compares the operating model, profitability level and solvency of Netflix, Bilibili and Iqiyi, and reflects the differences among them through the data of financial statements. It is concluded that Netflix is the most capable operator, Bilibili is the least capable operator and has the risk of debt, while Iqiyi has the worst ability to repay debt. At the same time provide investors with some advice or reference.
Investment Analysis of Listed Companies in The Oil & Gas Industry
Authors: Wang Yifan
Published: March 2023

The oil and gas industry is highly dependent on global financial markets. Due to the worldwide repercussions of the COVID-19 pandemic, the Russia-Ukraine War, and the upcoming third energy transition, the oil and gas industry may provide considerable financial gains from share price increases and attractive dividend income. In this article, ExxonMobil, Chevron, and ConocoPhillips, three significant oil and gas firms in the United States, are assessed using ratio analysis. This project explores which of these three companies are deserving of investors' attention and whether they can respond to future uncertainties by analyzing the companies' financial data and policies. ConocoPhillips is chosen as the best company to invest in for the short-term due to its larger profit margin and stronger growth potential. Long-term investments in Exxon Mobil are suggested due to the company's relatively low risk and sustainable strategy.
Research On the Pricing of Oil Spread Option Based on Geometric Brownian Motion
Authors: Chen Ainan , Huang Yuting , Tian Bowen
Published: March 2023

On Monday, 21 April 2020, for the first time ever in its existence, the price of US crude oil declined. This study constructs a spread option using geometric Brownian motion and simulates the prices of WTI oil and heating oil, both from the Chicago Mercantile Exchange (CME) Group, and processes and simulates them on a Microsoft Excel basis. This paper predicts the pricing of spread option by the heating oil price and compared to the Asian and European options. The results obtained showed that the volatility of the heating oil price affects the premium of the spread option. The significance of this paper is for investors to compare different options and find profit opportunities to make investment decisions.
Research on the development of derivatives’ market in Asia
Authors: Li Chenyu
Published: March 2023

Due to developing economies and companies looking for ways to hedge their risks with profitable investments or insurance policies against loss, Asian countries trade a substantial volume of unregulated derivatives. More market stability may allow stricter controls on this developing industry, which would subsequently strengthen local economies. This paper conducts academic research on derivatives in Asia. Compared with previous literature, this study covers a wide variety of issues. It classifies these issues in light of the widely acknowledged functions that derivative markets provide and limit the evaluation to the most prestigious financial publications as well as those that focus on emerging markets or derivatives. The finding of this paper should help the futures traders, specifically in the Asia hedging market, to explore the possibilities in the market and mitigate the risk.
Analysis of localized marketing strategies of multinational companies ---based on the 4P model
Authors: Qu Jingyi , Wang Jingchun , Zhang Yiteng
Published: March 2023

Foreign companies' localization issues are becoming more and more obvious, serious, and widespread. Examples include the Starbucks incident, the HM Xinjiang cotton incident, the Sam incident, etc. These incidents have upset many Chinese people and have had some effect on the companies involved, but an investigation has revealed that there is no comprehensive analysis of the issue or coordinated solutions. One of the many foreign firms with significant market share and influence in China is Starbucks, a typical example of a foreign firm with localization issues. However, in recent years, there have been events like the ejection of police officers, price disputes, and product quality issues that have had some effect on Starbucks' brand reputation, industry evaluation, and even sales. In order to analyze Starbucks' product, price, location, and promotion using the 4P method and to provide a thorough analysis of the brand marketing strategy, this study will use Starbucks as a case study. Finally, we offer Starbucks three suggestions. First, Starbucks can spread awareness of its brand concept by planning charitable events. Second, we think Starbucks could introduce goods with Chinese characteristics to localize the brand's image. Thirdly, we think that Starbucks should improve corporate culture training and staff service awareness in response to the police eviction, as well as open public rest areas to satisfy customer demand.
The Research on the Pricing of Double Barrier Option Based on the Black-Scholes Model
Authors: Liao Xuanting , Zhuang Jiawei
Published: March 2023

The two barrier values in the double barrier option are the focus in the evaluation simulation and they affect the knock-in and knock-out of the option. This paper, simulates a double barrier option and calculates its option value based on the Black-Scholes Model, using Coca-Cola stock data from January 2022 to the end of July, and verifies the feasibility of the Black-Scholes model. This paper also analyzes the sensitivity of the influence of the two barrier values on the option value, outlining the option value changes under different barrier values. The main finding of this paper is that the Black-Scholes formula is used to verify the value of the Coca-Cola option product. This study enriches the practical examples of the validation of double barrier option products in the Black-Scholes formula.
The Investment Choice of Soft Drinks Industry by Valuation of Companies
Authors: Qin Yulin
Published: March 2023

Recently, more and more investors enter the market with increasing investment demand, but due to the diversity of the market and investors are not familiar with the market, so many failed investments. This paper will focus on the soft drink industry and evaluate three companies in the soft drink industry: Coca-Cola, Pepsi and Monster Beverage to select the most suitable companies for investors. All three companies are showing solid growth and this trend is expected to continue. This article focuses on the stock, profitability and capital structure of three companies, Coca-Cola, PepsiCo and Monster Beverage. First, from the stock side, through the comparison of Earnings per share and Price Per Earnings over five years, Coca-Cola has the most EPS growth, which means it is the most promising company, and Coca-Cola has the lowest PE value, the lower PE value means it has a higher stock price. So in terms of these two figures, Coca-Cola is the most suitable investment. Secondly, in terms of profitability, this paper starts with six financial data: revenue, net income, gross profit margin, EBIT margin, net profit margin and ROE. Although PepsiCo has high total revenue, net income is similar to Coca-Cola Company. On the contrary, Monster Beverage Company has a high net income to revenue ratio, although it is only medium-sized. Finally, from the capital structure perspective, this paper uses the discounted cash flow method to estimate the value of the three companies. Coca-Cola's equity value is the highest among the three companies, so it is the most suitable for investment. Therefore, it is concluded that Coca-Cola is the most suitable investment among the three companies at present.
Analysis of Toyota's Operations to Maintain its Brand Position During the COVID-19 Pandemic
Authors: Fu Huachen
Published: March 2023

Toyota is a major multinational corporation dedicated to the manufacture of automobiles and transportation equipment, with sales ranked among the world's top and named a Number 1 Motor Vehicle Company on Fortune Magazine's 2020 "World's Most Admired" list 2020. The main purpose of this article is to analyze how the strategies implemented by Toyota during the COVID-19 pandemic period (late 2019-2022 in this article) have helped it regain its business viability as soon as possible and to assess the feasibility of these strategies for other automobile manufacturing companies through three aspects: actual cases, financial analysis, and SWOT analysis. According to the author's research, most business analysis articles only start from a company itself or give an appropriate opinion of this company, but this article wants to give an opinion to other car companies by analyzing Toyota's strategy to give an opportunity to the current trend of economic globalization.
COVID-19 and Entrepreneurial Confidence: Evidence from Listed Companies
Authors: Li Yalin , Zhang Zhanxun
Published: March 2023

This paper examines the impact of epidemic severity on entrepreneurial confidence. In this paper, we select the data of China's Shanghai-Shenzhen A-shares from 2017-2021, and explore their causality by constructing a multiple regression model. The study found that: (1) the more severe the epidemic, the lower the entrepreneur confidence index.(2) Compared with companies with CEO disintegration, the epidemic has a more significant negative effect on entrepreneur confidence in companies with CEO integration.(3) Compared with other industries, the epidemic has a less negative effect on entrepreneurial confidence.(4) Among companies with higher r & d personnel investment and higher capital investment, the negative impact of the epidemic on entrepreneurs' confidence is even less. This paper also verifies the stability of the results by replacing the model from the measures of the epidemic and increasing the number of control variables.
Acquisition of Tiffany by LVMH: Successful Market Expansion Strategy
Authors: Liu Chang , Zhang Luyang , Zhu Xingbei
Published: March 2023

As a world-renowned luxury brand, LVMH announced a deal to acquire Tiffany & Co. on November 25, 2019. However, the luxury retail industry has been hit hard by the outbreak of the epidemic, and whether the acquisition deal can be successfully completed has become a concern. What is happening behind the deal and what are LVMH's plans after the acquisition of Tiffany & Co. This article provides a comprehensive analysis of the acquisition and future marketing plans, with a special focus on LVMH's divisional financial results, operating profit and sales figures. It also compares the geographic revenues and the overall benefits and profits that Tiffany & Co. brings to LVMH, as well as the impact of Covid-19 on both companies. After a series of negotiations, LVMH completed the acquisition on January 7, 2021. In the end, the acquisition of LVMH and Tiffany & Co. was a win-win for both companies, with Tiffany & Co. perfectly complementing LVMH's position in the jewelry industry.
Research on the Criteria of Successful M&A
Authors: Xie Jiayuan
Published: March 2023

With the rapid development of economic globalization and the gradual improvement of the world market economy, M&A activities among enterprises are becoming more and more frequent in order to compete for market shares. As the main path to expand the scale of enterprises, M&A can effectively achieve the goals of expanding business scope, simplifying industrial structure and reducing operating costs for enterprises, which has become the first choice of many enterprises for expansion and development. Nevertheless, due to the unpredictable market environment and internal management uncertainties, the success rate of M&A in the global market has been relatively low so far. Using iterature research and case study method, this paper analyzes three classic M&A cases of LVMH, DIDI and Daimler Benz. From shallow to deep, elaborated the main criteria of successful corporate M&A from three aspects: industrial upgrading, financial integration and human resource management, taking into account the actual situation of globalized economic market development.
Construction of financial data management and analysis system based on big data
Authors: Dai Liqin
Published: March 2023

To solve financial data management, the author proposes research on the framework of big data analysis system. In the activities of various enterprises, massive high-frequency data will be generated, and these data are often characterized by infinity, suddenness, disorder, and volatility. Due to the above characteristics of the financial data related to the production activities of the enterprise, the financial data of the enterprise is often different from the actual situation, and the access is not standardized. To solve the above problems, it is necessary to improve the efficiency of enterprise financial management. With the application of big data in the enterprise industry as the background, the author builds a big data-based enterprise financial data analysis system, the construction of the financial data analysis system of electric enterprises is described from three aspects: big data storage, big data preprocessing and financial sharing center construction, to help enterprises improve the accuracy of financial data and the efficiency of financial management.
Analysis of Consumer Behavior and Purchase Intentions Based On the "Oriental Selection Live" Phenomenon
Authors: Yang Jizhou
Published: March 2023

The explosion of live webcasting on Shake Sound has opened up a nationwide craze in which everything can be broadcast, preceded by the live streaming craze of Veya, Li Jiaqi, and Simba, and followed by the new model of live streaming of Oriental Selection. There has been little research into the specific behavioral factors of the live-streaming craze, so this paper uses questionnaires and empirical analysis to investigate the impact of the recent explosion of the Oriental Selection live-streaming craze on consumer behavior and purchase intentions. The paper conducts statistical analysis of the sample data and ultimately concludes that the professionalism, attractiveness, and interactivity of the anchors positively influence perceived value and that the mediating role of perceived value holds. Based on the analysis results, the recommendations are that the platform improves the professionalism of the anchor with the product, strengthens the promotion of the product, and invites writers and bigwigs from various industries into the live broadcast for the live broadcast interviews and conversations, etc.
Predicting of Credit Default by SVM and Decision Tree Model Based on Credit Card Data
Authors: Fan Jiaqi
Published: March 2023

With the global financial crisis and increased credit risk, default forecasting is playing an increasingly important role in every sector of the economy. Currently, there are linear models and machine learning models for predicting credit defaults. In recent years, big data risk control models are superior to traditional bank models in predicting default rates, and can also conduct business quickly and on a large scale. This paper compares the SVM and the decision tree model in the machine learning model based on the credit card loan data set, and finally evaluates the prediction effect between the two models. According to the study, the decision tree model outperforms the SVM in terms of prediction accuracy. The use of big data to conduct machine learning to predict credit conditions enables financial institutions to serve small, medium and micro enterprises that were difficult to cover by traditional finance on a large scale in the past. It is a world-class innovation in finance.
Analysis of the impact of financial subsidies on R&D investment of new energy vehicle enterprises based on threshold regression
Authors: Dong Jingwen
Published: March 2023

According to the news, a huge section of the current profit of NEV enterprises is attributed to state subsidies, while the state's financial subsidies for new energy vehicles have been decreasing year by year, showing a continuous downward trend. To remove the dependence of new energy companies on financial subsidies and make them more competitive in the future, their innovation and technological progress are particularly important. This paper investigates the impact of fiscal subsidies on NEV companies’ R&D investment intensity of different scales through threshold regression and concludes that as the scale of enterprises expands, the motivating impact of fiscal subsidies on the R&D investment intensity of companies will achieve a qualitative leap at a certain point, and puts forward relevant suggestions for fiscal policy designation, refines the implementation methods and targets of fiscal subsidies, and offers some recommendations for the new energy vehicle industry's future sustainable growth. Additionally, it clarifies the objectives and implementation strategies for financial subsidies and offers some support for the future sustainable growth of the new energy vehicle sector.
The Spillover Impact of the US-China Trade War on India’s Economy
Authors: Chen Shaotian
Published: March 2023

This paper discusses the impact of the US-China trade war on India. Since it had been a fierce event in the past few years, the trade war had become a popular topic. The economists and politicians had predicted and discussed how the war will develop between the two superpowers, however, the impact on specific countries still needs to be further discussed and clarified. To discuss further of this topic, first, the background was further understood from the research. Then by discussing both positive and negative effects with data and details, finally analyzing whether there are benefits for India or not from the trade war between the two superpowers. During writing this template we found out that whether the US-China trade war will have a positive or negative impact on India depends on whether India had chosen wise politics towards the change in the global. India seems to be a great substitute for China, but it still has a lot of restrictions on the way of development.
Global risk aversion and US corporate default risk premium
Authors: Yuan Jiawei
Published: March 2023

In recent years, the default rate of China's bond market has been increasing. In addition to domestic factors, the contagion of external risks may also lead to changes in China's bond market. Therefore, this paper further explores the transmission mechanism of financial risk by studying the impact of global risk index on Chinese corporate bond default. Specifically, the paper uses the VIX index to measure global risk aversion and the spread between Moody’ s corporate bonds and the Fed funds rate to measure default risk. This study finds that a one percentage point change in the VIX index can lead to a 2.3802 percentage point increase in the risk premium for US companies. This shows that the global risk aversion sentiment can spread the risk to the real economy. The research of this paper provides certain reference significance for preventing financial risks.
Explanatory Differences in Idiosyncratic Volatility: Evidence from Fama-French Three- and Five-factor Models
Authors: Liu Yibo , Mo Yanbin
Published: March 2023

Based on the idiosyncratic volatility anomaly, this study discusses the differences between the interpretation of idiosyncratic volatility by FF-3 and FF-5 models and the interpretation degree and difference of the real return of A-shares after the addition of idiosyncratic volatility. Through the empirical analysis of data from FF-3 model to FF-5 model, this paper studies the explanatory degree of the two investment models on Chinese market pricing and whether the explanatory degree of the two models has significantly changed. It is found that the idiosyncratic volatility risk of stock pricing obtained by FF-5 model is significantly different from that obtained by FF-3 model, and the idiosyncratic volatility risk obtained by FF-5 model is 0.9092 times that obtained by FF-3 model. These differences are caused by the addition of two new factors, the profitability factor, and the investment level factor, from FF-3 to FF-5 models. However, even if the FF-5 model is good, it still has a poor explanation of expected returns in a long period of 8 years from March 2014 to March 2022. The explanation degree is lower than 50%, which is still a low level.
Stock Selection in Context of Ratio Analysis from Perspectives of Valuation, Growth, Profitability and Payout
Authors: Zhou Junxing
Published: March 2023

Stock selection has always been a heated topic in both daily discussion and academic research. There were already plenty of researches that provided deep insights into the catalysts of stock performances, e.g., CAPM and Fama-French Three Factor Model. Among previous literatures, four dimensions that can best predict the return of stocks are identified, i.e., valuation, growth, profitability and payout, respectively. This paper intends to analyze stocks performances in the US stock market from 2016 to 2021 based on these four perspectives and provide an ideal investment target to concerned investors. In order to quantify the selection process, two indicators that most closely related to the return of stocks are selected for each dimension to measure the performance of stock. An ideal investment target is also presented in section 3 of this paper together with its financial highlights and competition analysis. Finally, the limitations of this methodology and the risk factors in the contemporary capital market are also outlined. Overall, these results offer a guideline for ratio analysis approach of stock selection.
Analysis of Cross-industry M&A in the New Energy Era: a Case Study of Dexin Transport
Authors: An Xiangyu , Guan Xiaotong , Zhao Wenbo
Published: March 2023

Under the strategic vision of green economy and the goal of carbon peaking and carbon neutrality, China's new energy industry has entered a new stage of high-quality development. Meanwhile, the scale of M&A of Chinese enterprises began to increase rapidly after 2007 as more and more enterprises explore diversification strategy and seek business transformation. In this context, this paper explores the motivations and performance of enterprises' cross-industry merger in the new energy era by studying the case of Dexin Transport's cross-industry merger with Zhihong Precision which realized its transformation to the new energy industry. This paper analyzes the status of related companies, the prospection of related industries and the companies’ financial situation to explore the motivation of cross-industry mergers. We also evaluate the performance of the merger from the perspective of short-term market effect, status of transformation, long-term market performance and financial situation, and gives relevant investment suggestions. Based on the analysis, strategic transformation and cross-industry M&A are feasible choices for companies whose main businesses are limited in development and companies in financial distress. On the other hand, it is essential to be farsighted in the selection of the target industry. The development potential and market recognition of the target industry are the key to the improvement of the company's future performance and financial condition. These results present guiding significance for enterprises in similar circumstances and provides practical reference for enterprises with business transformation or upgrading plans and merger plans.
Design and Conception of Will Notarization System Based on Ethereum
Authors: Liu Fanglei , Zhao Jianxiang
Published: March 2023

It is crucial to use blockchain to notarization system. Although a notarized will has the highest legal effect, the notarization process is cumbersome, the notary agency has heavy responsibilities and high costs, which has become a drawback of notarized wills, and which makes many people give up notarized wills. This research will design a will notarization system based on blockchain technology to solve the problem of difficult will notarization. Through demand analysis and scenario analysis, this paper builds the overall architecture of the will notarization system based on blockchain technology and the Ethereum platform. The architecture consists of three parts: the client used by the user, the server provided by the notary office, and the blockchain module. Based on the Truffle framework provided by Ethereum, it will involve multiple links such as HTML front-end development, JavaScript development, solidity smart contract development, Ethereum interface call, network construction, etc., to design the entire system deployment and operation process.
The Effect of COVID-19 Pandemic on Different Industries
Authors: Yang Shuqing
Published: March 2023

The emergence of Covid-19 has dramatically impacted many people’s lives in different aspects. Among them, economic development has been hit enormously. In order to prevent the continued spread of the disease, some people choose to self-isolate, and the government has announced tons of public health restrictions, which shuttered a large number of businesses. Many factories and enterprises fail one after another, and millions of employees are forced to lose their work. However, every coin has two sides. From another point of view, the opportunities brought by the epidemic cannot be ignored. Due to the demand to avoid infection, many online internet industries have been developing rapidly to satisfy the increasing need under this circumstance. This article aims to provide a report on the negative and positive impact of COVID-19 on the different industries short run and also forecast the effect and development in the long run [1].
Prediction of business opportunities in FIFA world cups
Authors: Jian Chentao
Published: March 2023

FIFA world cup as the high level sport competition event in the world always bring with lots of business opportunities.  This article is using an event study approach to empirically study the industry chain holding during FIFA world cup, benefits for the host country and the economic impacts around the world. The study is using literature review and key study method newspaper investigate to comparing data found from“Nano data”. According to the study, local businesses like Coca-Cola, Johnson & Johnson, Hyundai, and Nestle, as well as Bank Itau and Oi Communications, will spend an average of $2 million per day on television advertising during the 32 days of the World Cup in Brazil, breaking the previous record of $2.9 billion. During Russia FIFA world cup in 2018, the GDP in Russia growth for 2%,Russia took the opportunity to improve the appearance of 11 cities. After hosting the World Cup in Russia, it is expected that 300,000 new jobs will be created every year. The construction, tourism and other industries will make great progress, and the national economy will be greatly improved. The short-term revenue from the World Cup in Russia is at least $6 billion. Base on the research, FIFA world cup has many business opportunities which could bring many benefits for hosting country and the sponsorship.
How Does Google Adapt to Expand its Business Footprint into China
Authors: Zhao Xiaoyu
Published: March 2023

In this article, the method of case analysis is adopted. Google is the world's largest search engine. But in recent years, after GDPR came down, Google has unwittingly lost tens of billions of dollars while weighing the pros and cons. Then it studies the dilemma of Google in entering the Chinese market. The biggest problems are found in the country's social system, culture shock and differences in the market. In their exploration, they found that if they could localize their products, it would be a big step towards completely capturing the huge market in China. At the same time, another key point is at the top of the company.
The Real Estate Price Prediction Based on Multivariate Linear Regression Models
Authors: Zhang Yucheng
Published: March 2023

The price of households had increased greatly as the demands in the market increased. Real estate had become the most popular method to resist inflation. Thus, more experts and scholars are working on the research in this area, including but not limited to find the future trends of housing prices and the possible bubble of housing prices. This paper will use the basic data regression model in Excel, powered by Microsoft, to find the factors that lead to the appreciation or depreciation of real estate, and three different methods of dealing with the data will be applied which are standardization, interception, and normal normalization. As a result of complex processes, normalization is the best way to deal with the data that was chosen from Kaggle. In the meantime, a linear correlation was done for checking the independency of each variable, and turned out to be successful. According to the analysis, an inverse relationship between the variables house age and distance nearest to the store was found, and the lower the house age is, the higher the price is, higher the house age is, lower the price is. The main aim of this paper is to investigate the relationship of the factors and their impact of them on the price of the house, was achieved and solved mathematically, and therefore, this research paper has found its goals. These results shed light on guiding further exploration of house price estimation.
Study on Blockchain-based data sharing security
Authors: Su Yilun
Published: March 2023

Within the context of the big data age, data sharing is gradually rising with the embodiment of data value. Data value can increase through sharing, but there are security problems during the period of data sharing such as centralized deployment, malicious theft, and tampering, which greatly affect the security of data. Aiming at the common privacy leakage problem during data sharing, this research builds a data sharing platform on the chain based on blockchain technology, and combines the function encryption technology and zero-knowledge proof technology to realize the sharing of verifiable computing results, and proposes a sharing model. The purpose of this model is to enable the data owner to control the data sharing, so as to guarantee the security and privacy of the data while sharing, ensure that the original data is not leaked, and realize the availability and invisibility of the data. In addition, it is necessary to ensure the reliability of data processing results, eliminate the risk of unreliable data processing caused by original data encryption, and protect the legal right of data users.
Stock selection and portfolio analysis of China’s insurance industry
Authors: Miao TianXiao
Published: March 2023

Based on the economic pattern and financial market environment nowadays, stock is becoming a much more beneficial and preferred investment means. Investors need to consider several factors as industry development, era background and social circumstance to decide if it is worth investing. This essay will focus the China’s insurance industry to see which portfolio or single stocks can be the most beneficial. Different factors will be used in this experiment to both analysis long term and short term of stock return. The stock price, stock return, and related market return will all be detected from official websites. Several financial models will be used like CAPM model as supporting evidences which will be most suitable for such an experiment. Eventually, a certain stock portfolio will be made throughout the best and most suitable allocating method. In conclusion, there definite exist specific weighed stock portfolio in China’s insurance industry for investing, the most suitable way of making portfolio is throughout the weighted average of market capitalization.
Portfolio Construction based on Equal Weights: Evidence from U.S. Pharmaceutical Sector
Authors: Zhang Shiyu
Published: March 2023

Within the context of the renewed global emphasis on the pharmaceutical sector as a result of the new crown epidemic, this article investigates how to develop a portfolio within the pharmaceutical industry. This focus comes as a direct result of the new crown outbreak. The primary source of the data is investing, and the time period covered is from December 31, 2016, to July 31, 2022. This study is organized around four main components: research on different market sectors, stock selection, portfolio design, and portfolio evaluation. The annualized return of the portfolio was 17.55%, which was higher than the annualized return of the S&P 500, which was 12.43%. This pharmaceutical sector portfolio's Jensen's Alpha, Treynor Ratio, and Sharpe Ratio all suggest that the portfolio has been effective in outperforming the market. This would seem to indicate that the pharmaceutical industry has historically been one of the least successful industries. The findings of this study have important repercussions for people who invest in stocks of pharmaceutical companies.
Green supply chain financial governance and technology application based on block chain and AI technology
Authors: Zhou Hengyi
Published: March 2023

Global warming and environmental protection will be the common challenges facing mankind in the 21st century. The sudden outbreak of COVID-19 in 2020 also makes us more deeply aware that all sectors of the world must strengthen their attention to the environment, society, and governance (ESG) to promote global sustainable development, The renewal of the green supply chain finance system assisted by science and technology will be a hot topic for new research or breakthrough for future. The author studied the application of green supply chain finance based on the method of combining blockchain and AI technology and proposed the idea of a green supply chain finance platform driven by blockchain technology and the Wide&Deep algorithm. It is found that the combination of blockchain technology and the WIDE&DEEP algorithm can better solve the lack of unified green standards and effective information disclosure and information sharing mechanisms in green supply chain finance. Small and medium-sized institutions financing difficulties, financing expensive, high cost, low turnover, ecological supply chain information flow, business flow, logistics, capital, etc in the "four circulations" a series of problems such as poor communication problems, blockchain algorithm combined with technology and AI can provide a decent future for supply chain finance development direction, how to practice is the direction of future research to its success.
Practical Significance of Distinguishment between Systematic/Non-systematic Risks
Authors: Wang Chuhan
Published: March 2023

This essay illustrates the help in distinguishing the systematic and non-systematic risks, through the detailed analysis on the key factors, characteristics of both systematic and non-systematic risks in the context of financial investment, based on the detailed clarification and analysis on these two risks, plus the actual cases to elaborate the typical cases concerning the two kinds of risks. It is concluded that the systematic risk has the features of inevitability, unpredictability and non-diversifiability, while the non-systematic risk has the opposite features of evitability, predictability, and most importantly the diversificability. Therefore, it is of great help for investors to distinguish these two risks, so that the investors could better hedge the risks by taking suitable countermeasures in constructing the investment portfolio, and ultimately achieve the balance point of risk and return. Last, by discussing the other approaches in understanding risks, it is concluded that although these perspectives are helpful for quantifying the risks, or for academic research, yet in the field of investment, the distinguish between systematic and non-systematic risk is still the basis of reasonable risk management.
Valuation and Forecasting of Cryptocurrency: Analysis of Bitcoin, Ethereum and Dogecoin
Authors: Shen Yang , Wang Haoyuan
Published: March 2023

Currently, cryptocurrency has become a research and investment topic of great concern and attracted considerable attentions in a wide range of fields. Stocks are well known as a form of investment, and there are countless studies on how its price trends. Cryptocurrencies, however, are not easily predicted due to their extremely high volatility. This paper implements the forecasting results by taking three major cryptocurrencies (i.e., Bitcoin, Ethereum, Dogecoin) as examples for the period starting from January 1st, 2020 to May 31st 2022. Four popular prediction models (XGBoost, LightGBM, GARCH, ARIMA) are applied in Python by training models and testing the prediction results. According to the analysis, XGBoost and LightGBM can forecast the future prices for all three cryptocurrencies exactly apart from the turning points when prices rise and drop suddenly. Although the predicting trends of GARCH, ARIMA have differences from the real price, they can forecast well except the unexpected situations such as COVID-19. Overall, relatively reliable and accurate prediction models can be provided for investors to apply and make wise decisions in investments based on the results of this study.
Stock Return Prediction Based on CNN Model and Genetic Evolutionary Algorithm For A-share Medical Sector
Authors: Wang Shirui , Wu Zixu , Yao Bo , Yan Yuxin
Published: March 2023

Since the outbreak of the epidemic in December 2019, the real economy has been seriously affected, where the stock market has experienced a short-term crash. In this context, the financial market has become more turbulent and unpredictable. Previously, the traditional prediction method only captures the linear relationship between both the dependent and the independent variable. With the growing advancement of technology and science, the application of deep learning models to learn the nonlinear relationship between high latitude indicators and predictors has become the mainstream trend of stock prediction. Therefore, a convolutional neural network (CNN) model with fusion genetic algorithm is proposed in this paper to predict and analyze the stock return rate of China’s A-share medical sector from January 1,2020 to February 2020. In order to facilitate the operation, this paper chooses the GPU with better performance to process the large-scale calculation in the neural network and builds the experimental environment under the Huawei cloud model arts notebook system. This paper selects the Sequential model belonging to the tensor flow library Keras package. Subsequently, this paper optimizes the parameters in the model by using genetic algorithm. According to the analysis, the mean square error of the optimal model is 0.0017, and the prediction results of the model in the test set are validated with well performances, which is of great significance to investors' decision-making. These results shed light on guiding further exploration of stock trend prediction.
Analysis of the Hedging Rate of Used Cars in Beijing by Linear Regression Model
Authors: Jing Shuaiming
Published: March 2023

The hedging rate for used cars is a very important index that measures the ratio of how much a car can be sold after driving multiple years out of the price when it was bought. It measures the popularity of the cars in used-car market. The higher the hedging rate for a used car always makes the car more popular in the market. As a result, it is crucial to make an accurate prediction of the hedging rate. This paper selects 12 basic indices for 1500 used cars in Beijing based on a popular used-car website in China to predict which factors have an influence on the hedging rate. By using linear regression model and comparing the p-value of each index with 0.05, 5 indices that have less significance on the hedging rate are eliminated, which are fuel consumption, maximum capacity, environmental protection standard, luggage capacity, and number of transfers. The result shows that the hedging rate has a positive relationship with swept volume, seats, and maximum speed, while it has a negative relationship with registration time, mileage, maximum horsepower, and doors.