bluuebunny/crossref_metadata_2025 huggingface dataset:
Portfolio Management Based on TMT Sector: Comparative Study between Basic Qualitative and Model-Based Approach
Authors: Jin Ding
Published: March 2023

Nowadays, more and more investment techniques are incorporating model-based techniques to facilitate portfolio management process; however, techniques that could predict future stock expected returns are relatively scarce. This study mainly focuses on using model-based methods to evaluate stocks in the TMT (Technology, Media, Telecom) sector based on historical data for the last four years. LSTM (Long Short-Term Memory) neural network and Fama-French three factor models are employed in this study to predict the future expected return of the stocks and further, evaluate whether the stock could come into the optimal portfolio. Efficient frontiers are drawn using the variance of expected return against the mean of future expected return. Then investment utility function is set up along with the efficient frontier to make optimizer to get the best weight of the optimal portfolio. To justify if the model-based approach is robust, comparative study is done between basic qualitative approach and model-based approach. Two parallel approaches will use different methods as well as metrics to evaluate the same set of competitor stocks and generate the optimal portfolio. The results have shown that both approaches have the same optimal portfolio and the model-based approach is justified. Thus, this quantitative model-based approach is robust and applicable for investment since it could generate consistent result as the basic qualitative approach and it is more explicit in data.
Research on Jing Dong's Self-built Logistics Based on Technology Acceptance Model
Authors: Wang Yunsheng , Zhao Jiaxuan
Published: March 2023

Today is a time of rapid e-commerce development, and Jing Dong China's e-commerce giant has taken its place in the highly competitive industry with its self-built logistics system. This paper analyzed the impact of Jing Dong’s self-built logistics system characteristics on user satisfaction and continuous use intention by using the Technology Acceptance Model as the theoretical framework. This paper collected 295 valid samples using a questionnaire survey, all the respondents are users and potential users of Jing Dong from mainland China. The empirical results of data analysis showed that marketing information quality, logistics system quality, and logistics service have significant effects on the perceived usefulness of Jing Dong’s self-built logistics, while only marketing information quality and logistics system quality have significant effects on the perceived usefulness of self-built logistics among the self-built logistics system characteristics dimensions. Additionally, the willingness to continue using a product and user satisfaction were both directly and significantly impacted by perceived usefulness, perceived ease of use had an indirect impact on users' willingness to continue use by affecting perceived usefulness and user satisfaction, and user satisfaction has the most significant impact on users' continuous use of Jing Dong shopping and using Jing Dong self-built logistics.
Shipping Market Valuation and BDI Analysis under COVID-19
Authors: Cao Kexin , Li Jingwen , Zheng Yaxuan , Zhou Zitong
Published: March 2023

Contemporarily, COVID-19 as a major "Black swan" event strong affected the trade and shipping industry. Meanwhile, its continuous spread in the global scope has impacted the international shipping market, and the market value of some domestic shipping companies has also shown a downward trend. This paper adopts dual-line parallel research based on ROE DuPont analysis, CAPM and DDM model to analyze the market value of some shipping companies, and using Eviews regression model to analyze the Baltic Dry Index (BDI). According to analysis, COVID-19 has had a certain negative impact on the valuation of shipping companies. Due to the changes of the epidemic situation, the market valuation of shipping companies is still full of uncertain factors. Moreover, there is a certain degree of negative correlation between COVID-19 and BDI index, which will diminish with the improvement of the epidemic situation. The change of COVID-19 situation has become one of the important factors to judge the trend of BDI index. These results shed light on guiding further exploration of the future market valuation of shipping companies and the judgment of BDI index to some extent.
The helping effects of e-commerce on poverty alleviation and rural revitalization
Authors: Zhang Yueling
Published: March 2023

In November 23th 2020, China has won an all-round victory in poverty alleviation, successfully eliminating absolute poverty. China enters the stage of rural revitalization. Looking back to the process of poverty alleviation, all levels of government have made great effort to explore the ways to help poor households and poor rural areas improve the economy. Among all these ways, what is worth mentioning is e-commerce. This emerging assistance mode is the product of Internet development and has been quite fruitful these years in developing local economy. This passage firstly has some basic introductions to China’s process of reducing poverty and the development of rural e-commerce, and secondly analyzes the 4 helping effects of e-commerce: promoting employment, increasing popularity, realizing wealth and building up brand for products. Finally, the passage gives suggestions in 2 aspects (the advises for government and for e-commerce managers) to the rural e-commerce development in the follow-up rural revitalization stage.
Research on stock valuation of listed companies and influencing factors of stock price profitability
Authors: Zhao Ruixiao
Published: March 2023

Since the reform and opening up, China's capital market has made a rapid progress. At present, due to the lack of sound basic capital market system, stock prices fluctuate greatly. The stock price is determined by two main factors, that is, the company's profits and investors' valuation of the company. Among them, profit is generally affected by the analysis of the company's financial statements, and is determined by the company's operating conditions. If investors want to further determine the company's stock price, they need to solve a problem, which is how to reasonably and accurately value these listed companies. After analysing the situation and data in China, this paper gets some main factors affecting the company valuation. This paper introduces several stock valuation methods which are widely used in the industry, namely relative valuation methods and absolute valuation methods, and applies them with foreign ownership as an example analysis.
Impact of the Russian-Ukrainian Conflict on Chinese Textile and Garment Enterprises: Stock Selection and Timing Judgment under Treynor & Mazuy and Henriksson & Merton Evaluation methods
Authors: Wang Renfei
Published: March 2023

This paper studies the impact of the outbreak of the Russian-Ukrainian conflict on Chinese textile and garment enterprises. This paper mainly uses Jensen model, Treynor & Mazuy evaluation method and Henriksson & Merton evaluation method to judge the Stock selection and timing capabilities of investment target, supplemented by Sharpe ratio, Treynor index and other indicators. The stock price data is collected from Investing.com and calculated into the indicators above by the author. The performance of the stocks during the period is evaluated through the indicators and the evaluation methods. The conclusion includes the result of the evaluation and the discussion about reliability of the methods in different factors. It shows that most companies in this industry were negatively affected by the conflict, while a small number of companies that were not negatively affected showed positive development. And found the advantages of Treynor & Mazuy evaluation method and Henriksson & Merton evaluation method in stock selection and timing judgment respectively. The conclusion improves the recognition of the Russian-Ukrainian conflict in another aspect and explain the advantages of the two methods in specific conditions.
Portfolio Selection Based on a Four-Dimensional Weighted Scoring Model
Authors: Yuan Gaocheng
Published: March 2023

Although factor investment approaches are currently receiving a lot of attention, active investment strategies rarely apply the combination of different factors. This paper's major goal is to utilise a clearly defined model to assess if the portfolio chosen by the model offers superior total returns compared to standard indexes (S&P 100 is taken as an example in this article). The author constructs a weighted scoring model combing different indicators to well demonstrate four factors based on the identification of valuation, profitability, growth and pay-out. This paper collects data of high-capitalization corporates in US during the period from 2015 to 2021 to illustrate that an active management portfolio well designed by the weighted scoring model can outperform competing index strategies. The reported results illustrate that combined precisely weighted indicators deliver significant outcome of selected stocks, especially in the long-term condition. The 5-year return of the selected portfolio, which is determined by the model constructed, delivers the outstanding performance with returns of up to about 180%.
Corporation Selection in Terms of Payout, Growth, Profitability and Valuation Indicators
Authors: Yang Jiayi
Published: March 2023

Investment strategy and corporation selection are the important measures to help investors to beat the market by using their limited capital. Financial indicator measure is used as a common tool in corporation stock selection to help the investors to build their portfolio. This paper covers the data from 2015 to 2021 to examine the key financial ratios which include payout, growth, profitability, and corporation valuation of Procter & Gamble and its competitors in the industry. After the comparison of payout policy, profitability, capitalization and growth, PG will be the best corporation to invest. However, the research is limited due to the short run time and ignores the business cycle factors (e.g., inflation and acquires and merges). In the future research, it is suggested that a more complicated model would be used to help investors to examine more indicators. Overall, PG is one optimal investment decision in the industry which could help investors to win in the short run decision. These results shed light on corporation selection, portfolio management and financial ratio analysis in the real stock market practice.
The Impact of COVID-19 on the Stock Portfolio Construction: Advice Based on Indicators
Authors: Zhu Xiaohan
Published: March 2023

Contemporarily, it is challenging to quantitatively predict or backtrack stock performance in financial markets to determine stock selection portfolios, especially after the outbreak of COVID-19 in early 2020, and more uncertainties are reflected in various stock indicators. The purpose of this study is to examine the judgment criteria of stock selection portfolios according to the stock indicators in different categories and to explore the impact of the COVID-19 pandemic based on these indicators. The annual data of 3,255 stocks is used between fiscal 2015 and fiscal 2021 to evaluate the stocks on the basis of four categories: Profitability, Payout, Growth, and Value. Besides, five companies are chosen (i.e., Intuit, TransUnion, Equifax, H&R Block, and Paychex) as examples. According to the analysis, the suggestion is that the pandemic impacted the stock market significantly, resulting in the indicators decreasing. The value of stocks might be hard to measure because of the unpredictable changes. The recommendation is to put importance on stocks with smooth growth and stable profits. In the complex market environment, a coronavirus pandemic is an event that suggests that the uncertainty in the future will increase. These results shed light on guiding further exploration of the stock portfolio from the perspective of individual investors.
International Capital Flows and Dynamic Changes in Pfizer Stock Prices: A Long-term Perspective
Authors: Sun Jiayi
Published: March 2023

The stock and exchange rate markets play central roles in domestic and international trade. Since volatility of either one of them can bring significant impact to any business. It is essential to find how changes in exchange rate influence the stock market so that policymakers can build appropriate regulations to boost the national stock market, and investors may invest by taking the minimum risk. This paper selects the stock of a well-known multinational firm, Pfizer, and the US dollar index from October 27, 2005, to September 5, 2019. It applies the ADF test to validate the stationarity of the sample data, the VAR model with IRF to investigate whether the increasing exchange rate brings a positive effect on Pfizer's stock return or not, and the ARMA-GARCHX model to study whether the volatility of exchange rate is significant to changes of Pfizer's stock return in the long run. The study's findings indicate that the exchange rate volatility does not have a long-term relationship with Pfizer's stock price.
The Analysis of Relationship Between Emotional Factors and Stock Price
Authors: Xue Lanhao
Published: March 2023

This study compares the relationship between the emotion factors catching from twitter and the price of five top companies in the US throughout five years from 01/01/2016 to 12/31/2020. According to the analysis, the sentiment score (from negative to positive) of comments of a company from twitter have strong and positive relationship with the stock price of companies in most of the situation. It proves the fact that social sentiment and people’s comment on one company do have great possibility to affect the stock price of a company. Besides, it is necessary to be considered as an important factor when analyzing a company or the whole stock market. The research value of this paper is that people might use emotional factors as a parameter that is helpful to predict the price of stock in the future. On the other hand, investors might better understand the stock market and trading stocks because sometimes the price might not fully reflect the real situation of the company but also reflects the emotional factors. These results shed light on guiding further exploration of finding the rule of stock market by introducing a new factor that make the analysis more comprehensive.
Price Prediction for Starbucks Corporation Based on Random Forest, Linear Regression, and Decision Tree
Authors: Zhang Xiaozhu
Published: March 2023

The outbreak of the virus COVID-19 in 2019 has dealt an unprecedented blow to the global economy. Contemporarily, the global economy is in the recovery stage after the end of the epidemic, and the economic recession is likely to be the future trend in terms of current status. In this paper, three state-of-art multivariate supervised learning regression scenarios (i.e., Random Forest, Linear Regression, and Decision Tree) are implemented to predict the stock price of Starbucks. Through comparison, it is concluded that Linear Regression and Random Forest are the most accurate models that are expected to be used in the future. Moreover, investing in Starbucks stock is not a wise choice at this time. It is hoped to reduce investor losses by choosing the optimal model for the most accurate stock predictions and minimizing losses in a recession. These results shed light on guiding further exploration of targeted analysis of the new economic environment.
Stock Selection Based on Valuation, Growth, Profitability and Payout Ratio Analysis
Authors: Chen Junshi
Published: March 2023

Stock selection is one of the most popular topics among both inexperienced and sophisticated investors. However, it is always difficult to make a decision from various kinds of stocks with limited purchasing power. Therefore, this study focuses on stock selection among seven particular stocks. The selection was be based on comparisons of indices of valuation, profitability, growth, and payout. Domino’s Pizza Inc stood out from the first part of the comparison in light of its stability and constant growth. MV Oil Trust stood out from the second part of the comparison on account of its high dividend yield. Both Domino’s Pizza Inc’s and MV Oil Trust’s stocks will be the recommendations for investors. The significance of this study is to help investors understand the indices and process of stock comparison under a complicated modern stock market and to help investors with their investment decisions. These results shed light on guiding further exploration for stock selection.
The Impact of Xiaomi’s Marketing Strategy on Consumers' Purchase Intention
Authors: Liang Yukai , Zhou Yanzhen , Zhu Zhaocheng
Published: March 2023

Xiaomi has a wide range of products and its products are cost-effective. The purpose of this exploration was how to increase people's purchase intention of Xiaomi. Therefore, this paper tried to investigate how to improve product sales and brand value. The research topic and the method of this research paper used the Multi-Media Terminal theory. SWOT analysis methods were used in this paper. The results of this study can be concluded that Xiaomi needs to design and manufacture mobile phones through continuous localization and localization. Xiaomi's previous strategy of focusing on cost-effectiveness needs to be corrected, and other peer companies will continue to follow suit, so as to intensify the competition. This paper finally concluded that high-cost performance and a good reputation can improve consumers' purchase intention, and the products maintain good quality and develop towards the direction of a mass brand to meet the needs of ordinary people. The special publicity method of a press release to attract attention and appropriately stimulate consumers' patriotic psychology can also improve consumers' purchase intention.
Analyzing the Challenges of Traditional Marketing Concepts of Mengniu Groups in The Internet Era
Authors: Xu Chen
Published: March 2023

With the development of the Internet, the number of Internet users in China is also increasing. People are paying more and more attention to the Internet has led to a massive change in the consumption pattern of customers in recent years. It is often said that "food is the key to success." However, in this era of the Internet, many food companies are still using traditional offline marketing, which makes many quality food companies gradually fade out of people's view in order to help some traditional food companies out of the dilemma. This paper stood in the perspective of marketing strategy, using the case study method on the Mengniu Group, a classic food enterprise case from the marketing concept and management strategy analysis. It is concluded that the traditional marketing concepts and management strategies of old food enterprises are outdated and lack precise brand positioning, perfect service management awareness, and a lack of global view and market insight during marketing management. In response to the above problems, the old food companies should insist on product innovation, update their marketing concepts and management strategies, and use online marketing tools reasonably.
The Long-term Impact of Covid-19 on Insurance Industry: Evidence from Time Series Model
Authors: Li Chen , Wang Yuyang , Zou Jiaxiang
Published: March 2023

The worldwide COVID-19 pandemic had a significant influence on the global financial market. As one of the most important compositions of the market, insurance industry, inevitably, was also influenced severely by such pandemic both in China and abroad. To study the impact of COIVD-19 on the profit of business insurance, the source of data and the methods utilized to estimate it, including Unit Root Test, VAR Model, and ARMA-GARCH Model were introduced in this paper. The analysis pointed out that two influences COVID-19 brought to the insurance field were opposite. First, the growing demand for business insurance benefited the insurance company. Nevertheless, the capital escaped from the financial market due to its tendency of avoiding risks, which led to the drastic diving of the market. In the short term, the disadvantage of the pandemic to the insurance industry overwhelmed the advantage. Nonetheless, the market will recover and return to normal in the long run.
Research on the Adaptability of Organizational Management in McDonald's "Sinicization" Operation
Authors: Shen Fei
Published: March 2023

Chinese fast food businesses have grown quickly in recent years, but they still have a far smaller market share and profit margin than Western fast food businesses like McDonald's and KFC. McDonald's outperforms Chinese fast food firms by 160 times when it comes to average shop turnover. More than one-third of the fast-food market in China is now made up of businesses with a Westernized aesthetic. We cannot disregard the challenges in service marketing related to service quality, method, pricing, physical proof, and others, for a variety of reasons. Additionally, the daily schedules in North and South China vary, as do the service delivery methods. I selected a region's McDonald's shops as the subject of the analysis to make the proposal more focused. This essay will examine the factors that contributed to McDonald's success in China and provide recommendations.
“Standardized” Marketing Strategies of IKEA? The Challenges of China
Authors: Liu Ziyu
Published: March 2023

The Swedish furniture company IKEA, implementing similar “standardized” marketing strategies all over the world, is often used as a successful global retail example. However, since entering the Chinese market, IKEA has not been able to achieve the same positive results as before with its standardization. As a consequence, IKEA has to reconsider another approach to adapt its business in China. This paper examines the challenges IKEA faced while expanding its market share in China. Using glocalization (globalization-localization) to analyze possible solutions for IKEA in the Chinese market. As well as shows the impact of local forces on developing marketing strategies in the international market.
Marginal Analysis for a Win-win Case in Cross-cultural Acquisition: Wanda and AMC
Authors: Liang Ruiying
Published: March 2023

In the context of economic globalization, countries are both partners and competitors. In the early twenty-first century, China began to look at the influence of Chinese culture in other countries and issued policies to support the purchase of overseas assets by Chinese companies. Wanda Group seized the opportunity and made a fortune by acquiring AMC and selling it at a high price. The study found that this was a successful cross-border M&A case, however, a systematic analysis still exists on the explanation of why Wang did a specific thing at a specific time. Therefore, the topic of this paper is to use marginal analysis to explain Wanda's behavior in entering and exiting AMC. Ultimately, this paper concludes that marginal analysis can help firms make decisions about whether and when to do something, and the resulting marginal costs can be useful for subsequent negotiations.
Demonstration of Bigdata Analysis Implementation in Predicting Consumer Behavior
Authors: Zhang Yahan
Published: March 2023

The rise of personal computers, cell phones, and other smart gadgets has ushered in a new era of enormous data generation, sharing, and use. In the big data age, there has been a significant shift in consumer purchasing behavior due to the high transparency and quick flow of information. Consumers are becoming more logical in their purchasing decisions, paying more attention to the observable advantages that brands offer, and placing greater importance on the individualized services that businesses offer. With this in mind, this article explains some of the functions and analytical techniques of big data analysis in forecasting customer behavior. To be specific, the basic concepts and models of bigdata are introduced. Subsequently, the corresponding applications based on the state-of-art big data analysis techniques are demonstrated. The research of changes in customer behavior will assist businesses in promptly adjusting their marketing plans and winning the first chance in the harsh market rivalry. These results shed light on guiding further exploration of consumer behavior analysis in the new era.
Consumer Behavior Prediction in the Big Data Era: a Comparison Analysis
Authors: Liu Huining
Published: March 2023

Consumer behavior prediction is one of the critical factors that every business organization needs to understand to aware the market structure as well as purchase and sales pattern in a market kind of structure. To address this issue, the only measure can be undertaken is using the big data analytics. In this case, it makes the most preferred and suitable based on analysis of such complex data and can arrive at specific key findings in general. In this paper, different analysis approaches and scenarios will be compared. Based on the analysis, various variables can be used to undertake consumer behavior, i.e., psychological, social, cultural, personal, and economic factors. On this basis, the organizations can undertake. However, one limitation of big data is data manipulation, which makes some of the findings lack the needed objectivity in general. In this case, the analysis has a higher level of applicability and significance in current and future development in market analysis. These results shed light on guiding further exploration focusing on consumer behavior prediction.
Financial planning will soon incorporate virtual reality
Authors: Wang Xin
Published: March 2023

Even before the epidemic, more and more people were making use of technology to assist with their financial planning. The financial planning business has been fast to adapt to the new standard, and as a result, many organizations now offer remote services and virtual meetings. The technology behind virtual reality (VR) is still in its infancy, with HTC, Oculus, and Sony producing the majority of the most popular VR headsets now available. Virtual reality currently has a wide range of applications, but one particularly promising one is in the field of financial planning. Virtual Reality is useful for financial planning, and it has many benefits for customers. It has been used in gaming, health-like simulations, and product demonstrations. The research will discuss, the demographics that appeal to virtual reality, the applications of virtual reality, and how financial planning can benefit from the technology.
Patent Phrase to Phrase Matching Based on Bert
Authors: Chen Zhan
Published: March 2023

Due to a large US patent archive, it is necessary to introduce a similarity matching system to judge if an invention has been granted a patent so that people just focus on high similarity patent items and ignore low similarity ones. First, the large-scale corpus is pre-trained using the Bert language model to acquire the semantic characteristics of general language. The pre-training Bert language model is used to tune the text data set of patent phrases to acquire the semantic features of the certain text and the specific meaning of the keywords to match similarity, given certain parameters according to the task, such as MSE as loss function and certain number as learning rate and so on. The validation results are good whether it is according to MSE loss or the Pearson correlation coefficient. Finally, applying this model to the test dataset and the results show that the Pearson correlation of all the variables is significant, and the model fits well.
Research on Enterprise Valuation Method Based on P/E Ratio: Taking Amazon as an Example
Authors: Yuan Yue
Published: March 2023

With the rapid growth of the e-commerce market, Amazon.com, INC. (Amazon) is one of remarkable firms. The general financial condition is worth analyzing to observe how Amazon makes money, and how it operates. Yahoo Finance and Macrotrends, which are platforms to search for financial and stock information of published companies, are main data resource websites in this article. Also, the financial report of Amazon is a channel to get detailed information and data. This paper mainly uses Price-to-Earnings Ratio (P/E ratio), which gives a brief view to show the anticipation of the company itself and the market based on analyzing stock prices. By comparing Amazon and its comparable firms' data from 2019 to 2020, the stock price of Amazon is overvalued. The author forecasts that this trend will be continued, but the company faces both opportunities and challenges. This article provides investors and those interested in e-commerce or Amazon with a reference for present and future value of Amazon.
Comparisons of Different Arbitrage Strategies in Context of Various Models
Authors: Hou Xinyu
Published: March 2023

S Statistical arbitrage is one of the key topics of research today due to its significance statistical features and the ability to control the drawdown. Previous researchers have implemented statistical arbitrage based on various approaches. However, some of these approaches lack depth and coherence. This paper therefore provides an in-depth assessment of the two scenarios. Specifically, the two approaches are distance and time-series models. The former one uses non-parametric distance indicators to identify pair trading opportunities, while the latter seeks to find optimal trading rules by examining and combing through the relevant references. The basic principles as well as procedures of them are presented and clarified. According to the analysis, this paper reveals future research directions and the strengths and weaknesses of the approaches. In addition, the current limitations as well as prospects for the improvements of the models are given. These results shed light on guiding further exploration of pairs trading in statistical arbitrage.
The Impact of the Increased Interest Rate on Nike's Stock Price Based on Stata
Authors: Zhang Jiayu
Published: March 2023

In 2022, The Federal Reserve raised its benchmark interest rates three-quarters of a percentage point in its most aggressive hike since 1994, which gets US dollars more expensive to foreigners, and foreign currencies less valuable to the US. But in the meantime, Nike can’t rise its price in foreign countries immediately, thus with the same quantity of items being sold, their price decreases due to the exchange rate difference, and their profit diminishes. Since a stock’s value represent the ability to profit in the future, when Nike's ability to profit decreases, people tend to sell its stock and when the demand for Nike’s stock is smaller than that of supply, its price drops. In addition, as the interest rate increases, the mass is inclined to invest in bonds, and when bonds get more attractive people to invest less in stocks, thus as one of the listed corporations, owing to the demand for Nike’s stock price decrease, its stock price decreases. Whereas at the same time as the interest rate increase, more foreign capital is intended to invest in the US, thus the stock price of Nike might also increase. Thus whether the increased interest rate contributes to Nike's stock price is controversial. This paper mainly used a series of statistical models including VAR and ARMA-GARCH models etc. to see the net effect of interest rate on Nike's stock price, and then included the future study needed and limitations of this research.
Exploring Marketing Strategies for Luxury Goods in China in the Post-Epidemic Era
Authors: Chen Shishuo
Published: March 2023

In the post-epidemic era, luxury goods have seen a decrease in production and sales abroad, while sales in China have tended to rise and even increase in price. The paper has examined the current situation and problems from the perspectives of sales channels, localization, brand building investment and segmentation of target customers, and made suggestions on marketing strategies in terms of enhancing the public welfare image of brands, taking social responsibility, promoting digital marketing transformation, standardizing channel management, increasing investment in second and third tier cities and focusing on young target customers. The company put forward marketing strategy suggestions. In particular, for the digital marketing transformation, suggestions were made to strengthen the construction and promotion of the official website, promote the diversified sales model of the e-commerce platform and give full play to the influence of social media. At the same time, it was suggested that major luxury brands could strengthen cross-border brand alliances and production line cooperation to enhance brand awareness and reputation, increase the production capacity of each partner, and develop greater market space.
Analysis on the current situation, problems and potential solutions for the Chinese precious metals futures market
Authors: Liu Bowen
Published: March 2023

Since 1980, China's futures market has developed vigorously under the influence of the reform and opening-up system. Over the past forty years, the Chinese futures market has been on a steady rise and has become an important part of the Chinese economy. Since the outbreak of COVID-19 in 2020, the global economy has been hit by significant inflation in various countries, and the anti-inflationary properties of precious metals futures have played a great impact during this special period. This paper examines a series of problems in the precious metals futures market in China from the current situation of the market and proposes possible solutions.  With China's accession to WTO, the globalization of China's financial market has accelerated, and in the process of acceleration has also brought many hidden dangers to China's financial market. China's financial market is not well regulated, thus leading to a chaotic situation. Therefore, it is important to analyze the current problems of the precious metal futures market through the current situation of China's precious metal futures market to stabilize the development of China's precious metal futures market.
Degree and Direction of Product Standardization and Adaptation for MNCs in Emerging Market
Authors: Wang Chuhan
Published: March 2023

This paper is about the most appropriate level and direction of product standardisation and product adaptation for MNCs in emerging markets. Alternative works in this area have discussed strategy selection between these two or one-sided analysis of how to proceed, but two separate discussions established on one-sided analysis are barely seen. Hence, the method of study is a detailed analysis of individual cases based on SWOT models and data collected from surveys targeting people living in Asia, which is a major part of the emerging markets. The immediate results from the study are that LVMH's choice of products to standardise on the international market is part of what will always be universally accepted, and that the products they choose to adapt while selling to different regions are based on cultural differences and local living patterns. And, to be along with specific to the luxury industry, more innovation in the design of products rather than being classical would also be a smart choice in the future, in order to face distinct groups of consumers. In conclusion, for MNCs, product standardisation and product adaptation are equally noteworthy to the company, the degree and direction of which is the key reason for success. Standardisation is for a better brand image, and adaptation is for better sales.
Auto Companies Affected by the COVID-19 Pandemic and the Russia-Ukraine War
Authors: Liang Xuncheng
Published: March 2023

This paper mainly focuses on the impact of traditional gasoline vehicle brands and new energy vehicle brands respectively on major global events. Different companies may use different management methods to reduce the level of impact. Because different car brands have different problems. This paper mainly analyzes the problems existing in Mercedes-Benz and Tesla. This paper mainly uses the previous literature to analyze the problem. In recent years, both brands have made different adjustments to their business strategies due to the epidemic situation and the Russia-Ukraine war. It is found that both companies are researching new energy vehicles when the global economic and political environment is unstable. Tesla hopes to be a leader in the field of new energy vehicles, while Mercedes hopes to quickly transition to new energy vehicles. This paper finds out the advantages and disadvantages of different car brands. Managers are important to every company and different strategies have different effects. It can greatly help the company to develop if the manager has the right strategy. Managers formulating the correct strategy will become the company’s advantage when facing difficulties. Mercedes made the wrong strategy and the company’s profits were reduced. Mercedes-Benz needs to develop the right strategy to make up for the mistakes of managers. On the other hand, although Tesla’s new energy vehicle sales are on the rise, it needs to develop strategies to retain talent. Tesla needs to build core strengths in order to keep their competitiveness in the industry.
The Applications of Game Theory in Natural Disaster Management: a Case Study of COVID-19 Pandemic
Authors: Guo Zhenbei
Published: March 2023

As of 2022, mankind has been struggling with the COVID-19 pandemic for three years. This paper is based on the application of game theory in natural disaster prevention and control. Using a case study approach, the paper specifically examines the game process between policy makers (states), policy transmitters (hospitals) and policy implementers (individuals) in the prevention and control of the pandemic, as well as the answers to three questions: why governments have coercive measures, how hospital decisions at the beginning of the pandemic caused the spread of the coronavirus, and the impact of uneven control efforts between countries. It is found that from the individual perspective, which can include individuals in the pandemic prevention and control or a particular hospital in the healthcare system, the rational choice of interest of the individual is inconsistent with the rational choice of interest of the whole and a Nash equilibrium is thus reached. From a national perspective, in a world of countries experiencing progressively globalized and integrated, the unevenness of control efforts has led to the fact that no country can be left alone, thereby imported COVID-19 cases are always present. This is also reflected in whether or not to collaborate on vaccine development.
Economic Analysis of Gender Discrimination in Labor Market Experienced by Women in China
Authors: Xin Tong
Published: March 2023

In China's work sector, gender discrimination has been a severe problem for a very long time. Women's development in the marketplace is hindered by a variety of obstacles, including legislation, the implementation of a market economy, and conventional beliefs. These obstacles limit women's advancement in a variety of professions and even have an impact on the overall economic growth of the country. The author makes use of Becker's theory of discrimination to analyze the problem of the circumstance of employment difficulties encountered by female workers and is of the opinion that the severity of gender discrimination in the labor market in China is because of the conventional concepts and natural attachment costs of women. As a natural consequence of this, businesses will naturally avoid hiring female employees, even though doing so may cause them to forego some of their earnings. Based on the analysis, several suggestions could be given to better the circumstance of employment of women in China. First, policies could be enacted to protect both the employers’ and female workers’ interests. Second, fertility costs should be socialized. Finally, women should improve their inhere quality. Gender discrimination in the labor market in China could be therefore improved.
Research on Co-opetition Strategy of New Energy Vehicle Companies Based on Stackelberg Game: Taking Tesla and BYD as Examples
Authors: Ding Chenying , Ma Jiayi , Zhao Guoqing
Published: March 2023

With the support policies of various countries, new energy vehicles are developing rapidly. The promising prospect of new energy vehicle market also leads to the competition between oligopolistic companies intensify. Based on Stackelberg game model, this paper analyzes the problem of production and revenue between Tesla and BYD in the state of competition and cooperation. The research results of this paper show that: without considering the difference of entry cost and marginal cost between the two companies, the optimal strategy of both companies is to cooperate in making production decision and suggest the corresponding countermeasures in the cooperation mode. In order to maintain the leading edge of both parties in the industry, Tesla and BYD should combine resources to reduce entry cost and marginal cost, widen the cost gap with late entrants, and reduce competitive pressure. The research in this paper has important practical significance for the future development of new energy vehicles.
Exploring New Media Operation Problems and Optimization Measures in Short Video Era
Authors: You Li
Published: March 2023

There are still various problems in new media operation in the short video era, which all affect the quality and efficiency of new media operation to different degrees, and also hinder the development of new media field and short video field. Therefore, as the relevant technical personnel must pay attention to the new media operation problems, and then continuously optimize the new media operation methods based on the existing problems.
Exchange rate risk management of foreign trade enterprises
Authors: Xu Jiangnan
Published: March 2023

Global economic integration is expanding worldwide, and each country's potential and extent of exchange rate volatility will become more significant with changing national policies. As a result of engaging in import and export business, foreign trade enterprises have a large volume of foreign currency transactions and holdings. Foreign trade enterprises in every country need to raise their awareness of exchange rate risk management. Import and export enterprises must avoid exchange rate risks in various ways to ensure minimum losses and maximum profits. This article examines how foreign trade enterprises can manage exchange rate risk in a way that enables them to avoid exchange rate risk and thus ensure stable business returns. Following a logical relationship and structure, it uses the literature research method to introduce how companies need to respond to changes in exchange rates internally. It also introduces how companies can control exchange rate risk through financial instruments.
Analysis of the development of REIT in various countries to provide ideas for China’s trust fund market
Authors: Lin Yuqin
Published: March 2023

With rise of economic level and the development of society, decreasing in Engel’s coefficient, people’s financial awareness and financial concepts have changed a lot. As one of the four pillars of finance, trust plays an important part in financial system. Compared to other three financial pillars, Banking, Insurance and Securities, there is no special regulatory authorities for the trust industry, and the relevant laws and regulations have not been improved. This paper focuses on studying the REIT markets of England, America, Japan, and Australia these four overseas countries in order to learn more about the development of mature REITs market and summarize the main features in order to provide references and ideas for the benign development of China’s REIT market.
Comparison of Two Quantitative Strategies: Momentum and Mean-reversion
Authors: Li Junya
Published: March 2023

With the development of finance and computers, the field of quantitative finance is gradually gaining attention and research. In this paper, two classic trading strategies are chosen for comparisons (namely momentum strategy and mean reversion strategy) to select the performance of Tesla and Gold in the last decade as the research object. The Tesla and Gold both performances better in momentum strategy than in the mean-reversion strategy. According to the analysis, it demonstrates that volatile stocks are more likely to generate greater profits with a momentum strategy. However, volatile equities may not regress well to the mean price, or the rate of regression may be irregular, rendering a strategy based on mean reversion ineffective. This study presents a sample for comparing momentum and mean reversion techniques and develops the features of stocks that are suited for both momentum and mean reversion strategies. These results shed light on guiding further exploration of quantitative strategy.
The Impact of Oil Price Fluctuations on the Motor Vehicle Market under the Russia-Ukraine conflict
Authors: Jiao Dingjie , Li Ang
Published: March 2023

On February 24, 2022, Russian President Vladimir Putin dispatched Russian troops to invade the territory of Ukraine on the grounds of "demilitarization and de-Nazification." The conflict officially turned into a full-scale war from that day and quickly developed in Europe since World War II. the most significant war ever. After the Russian-Ukrainian war broke out, related industries also suffered from price fluctuations, especially crude oil. The crazy rise in crude oil prices has also changed people's car-using habits, which has considerably impacted electric vehicles and gasoline vehicles. NIO was selected as the representative of electric vehicles, and Honda is the representative of fuel vehicles. This paper intercepts their stock data from the months before and after the Russia-Ukraine conflict and uses the VAR model and ARMA-GARCH model to analyze the impact of WTI crude oil price rises caused by the Russian-Ukrainian conflict on new energy vehicles and fuel vehicles.
Influence of Fintech on Bank Outlets
Authors: Zhang Yiran
Published: March 2023

In recent years, the rapid development of financial technology in China not only promotes the development of traditional Chinese banks, but also has a great impact on traditional banks to a certain extent. As the smallest service unit of commercial banks, grass-roots outlets bear the brunt of this wave of new technology. Commercial banks have realized the importance and urgency of outlet transformation one after another, and explored outlet transformation as an important cornerstone of commercial bank transformation. Financial technology not only brings new vitality to commercial banks, but also has an unprecedented impact on them. In this regard, commercial banks must actively adapt to the changes in customer needs and the new needs of the development of financial technology. Under the new situation, we should use financial technology to innovate business processes and delivery methods, innovate the business forms of outlets, promote the transformation of outlets into marketing centers, build a mobile payment ecosystem, and develop derivative services. Therefore, this paper analyzes the development status of China's financial technology and bank outlets, the impact of financial technology on China's commercial banks, and on this basis, analyzes the countermeasures that commercial banks should take when facing the challenges of financial technology.