Europe is increasingly dependent on Russian natural gas imports. As Ukraine is the main transit country for gas trade between the two sides, the military conflict between Russia and Ukraine, which started in 2014 and has not stopped yet, has led to Europe's gas trade with Russia receiving an impact. Due to the importance of natural gas and the fact that this war was the largest in Europe since World War II, the trade relations between the European and Russian natural gas markets before and after the Russo-Ukrainian war and the diversification of natural gas in Europe have been studied by many scholars. This paper uses a review to summarize and sort out the relevant literature based on game theory to study the gas market trade relations in Europe before and after the Russo-Ukrainian War. According to these scholars, the trade relations between Russia and Europe in the gas market will continue to cooperate despite the impact of the Russo-Ukrainian war. The interruption of gas exports to Ukraine and the construction of pipelines bypassing Ukraine are acceptable to Russia and Europe. Iran, Azerbaijan, Turkmenistan, and Iraq, along with the United States, should actively invest in expanding their gas export capacity to have the opportunity to serve as an alternative to Russian gas and make Europe less dependent on Russian gas imports. This paper provides an understanding of the implications of the Russian-Ukrainian conflict for the world in terms of gas trade. This paper provides a reference for related studies, and to understand the impact of the Russian-Ukrainian conflict on the world from the perspective of the gas trade.

In recent years, a global health shock, Covid-19, has exerted a huge negative impact. Exhibited a high rate of infection and mortality, this pandemic caused tremendous losses in various fields. After studying how virus spread, people find that wearing masks can effectively reduce the probability of infection. However, there are still number of people struggling whether to wear masks or not. In the current paper, based on the probability of infection we construct two matrix models, one for standard players and one for players who have been recovered form Covid-19, to analysis the expected payoff of to being a mask wearer or non-mask wearer. Comparing the expected payoff as number of people increasing in the model, we find a critical point that people are indifferent of wearing masks and not wearing masks and name it as indifferent ratio. According to the results of the model and corresponding analysis, governments are suggested to enforce policies such as wearing masks in public and enable certain social distance. For people who have been recovered from Covid-19, they can choose not to masks in places where few people around them.

Nowadays, thanks to the economic development, there are many commodities in the society appeared, so the competitions among different companies become more and more drastic. This essay illustrates the advertising in companies to let people know how they work. In order to make it more specific, we use case analysis and data analysis through the whole article. The result is companies really need to make efforts on making their advertisings more attractive and more profitable. In conclusion, governments also need to regulate the developments of advertisings to maximize the roles. This article has a good reduction effect for all who want to improve the quality of advertising.

Incentives of employees are a crucial factor for profit maximisation in organisations since they directly affect the productivity of products to be sold into the market. In order to maintain a positive working status, organisations must think of efficient methods such as reward systems, to enhance the relationship between all workers. This paper will investigate the importance of an efficient organisational working group, and the application of different reward systems to maintain high-level incentives through an analysis of game theory models. The prisoner’s dilemma game and the boxed pig game will be introduced to analyse the advantages and disadvantages of reward systems, as well as the elimination of the free-rider phenomenon.

This study was intended to create a theoretical framework of factors affecting the efficien-cy of financial risk management, including leadership, culture and communication. Litera-ture searches were conducted utilizing library databases and an analysis was made of pre-vious studies related to these topics. Foreign exposure is the major risk faced by infor-mation technology companies. The main reason for this is the substantial part of their in-come comes from foreign countries in foreign currencies. It is important to know here if Malaysian I.T. companies are suffering from loss due to foreign exchange movements, what measures they are taking to minimize risk, how much serious impact is suffered on its profitability. Also reviewed were models published by other authors in this field which were found most helpful in identifying how financial risk management can assist Root-square Technologies, the most rapidly growing, innovative I.T. Services & Enterprise I.T. company operated in Malaysia.

The mobile phone market is always changing. In recent years, fashionable and cheap mobile phones like OPPO have become consumers' preferences, and their market share is also expanding. This research will make predictions about the development of OPPO in the next five to ten years. To make the forecasts reliable and convincing, the SWOT model and data from "Counterpoint" and "The Economic Times" are used. Generally, the international mobile phone market is slowly recovering, but the shortage of hardware components for Chinese brands, such as OPPO and VIVO, and the crisis between Ukraine and Russia made the expected fast recovery fail. For OPPO, its expansion is restricted by China's policy of COVID-19 and it faces serious shortages on making some core hardware components, hence in the future 5 years, OPPO is not expected to occupy much market share. However, in a future decade, it is hard to say. Although the influence of China's COVID policy restriction and the Ukrainian War is expected to disappear, the key restriction for OPPO is the limitation on components. OPPO should develop some core components independently to reduce the impact of the external supply market on the company's expansion. In addition, OPPO pays more attention to offline sales, and its sales have been greatly affected during the COVID-19 period. In the future, OPPO can expand online and other channels and can flexibly switch if similar emergencies happen in the future.

Autoregressive Integrated Moving Average (ARIMA) models are effectively utilized in time series analysis and forecasts. With the focus on MOUTAI, one of the brands in liquor industry that has absorbed great public interest and wide acceptance, this paper studies the pattern of the closing price of MOUTAI stock, fits the data using ARIMA model, and eventually forecasts over the future horizon. Based on daily closing price of the specific stock, a few transformations of the data are carried out, making the fitting process of ARIMA model more accurate. The best-fit ARIMA model is studied and the forecast re-sults are analyzed. According to the increasing trend throughout the interval studied and the unforeseen peak at the beginning of 2021, the causation is discussed: the consumer trend. That is, people are inclined to consume more liquor products during mood swings, which is likely to happen during lock downs and the deteriorated epidemic worldwide. This study provides more insights to the potential investors and buyers of MOUTAI stock and products, and furthermore the liquor industry, giving an overview of the patterns shown in the stock’s closing price and the causation of the forecast results.

Enterprises in China's food manufacturing industry are mainly small and medium-sized enterprises, which are in a weak market position. With the continuous integration of dis-tributors and the tight capital chain, the proportion of procurement credit will increase, and the problem of accounts receivable will become more and more prominent. Aiming at this problem, this paper adopts literature method and case analysis method to study and discuss the existing problems of accounts receivable management of Shanghai Weiming Food Company. Paper first introduces the research background and significance, this pa-per expounds the concept and basic theory of accounts receivable management, wei Ming food company accounts receivable management present situation of Shanghai, and analyz-es the Shanghai wei Ming food company accounts receivable management problems, such as not to set up independent credit management department, business process controls and the absence of regulation, deficiency in the collection and appraisal way, Market credit mechanism is not perfect. In view of these existing problems, the paper puts forward the corresponding improvement measures, one is to set up a credit management group; Sec-ond, establish a sound credit management system; Third, standardize sales process man-agement; Fourth, establish and improve collection and assessment methods.

Since China’s reform and growth, the continuous development of the social economy and the constant improvement of people’s living standards have been the mainstream of society’s development. However, with the foundation and improvement of China’s market economy and the ongoing promotion of China’s urbanization process, the number of impoverished people among urban residents is increasing, and the gap between the rich and the poor is widening. This paper uses Literature research, data collection and analysis, and MPI to explore the dimensional deconstruction of urban poverty and find that the existence and widening of the income gap is the main cause of structural poverty in the country. Also, the employment dimension has the greatest impact on multidimensional urban poverty. The employment dimension has the greatest impact, followed by the education dimension. These problems can be solved by strengthening income adjustment measures to narrow the income gap, ensuring labor force employment, and improving the social security system. The paper can better help solve the problem of urban poverty and reduce the number of urban low-income families.

In terms of the state of Europe, Michael E. O’Hanlon believes that even if the war in Ukraine ends soon, the events so far have changed the security environment in Europe. The tripwire strategy NATO has used in the Baltic states and Poland since about 2017 must now be replaced by a permanent forward defense posture of modest size and scope. Starting with two external factors, aid and sanctions, this paper uses a comparative political science approach to construct a military and economic model of the Russo-Ukrainian war by September 2022. This paper finds that Ukraine is constrained by its strength and weapons in the face of advanced operational command concepts and cannot effectively stop Russia. This ideological difference has led to a failure to achieve a balanced model of war, while at the same time, we note that all sides are also managing the risk of war escalation. The lack of planning for economic sanctions against Russia and the vacillating attitudes of the West, including the US, make the course of the war and subsequent reconstruction far from certain.

Comparing GDP per capita, unemployment rates, exchange rates, and other economic data from before the UK left the EU and after it left the EU, this paper will use this study to examine the impact that was leaving the EU had on the economy after the UK left the EU. The authors of this study investigate the spending and revenue of the British government in the years immediately following Brexit. By analyzing the data provided and developing appropriate responses, the objective is to understand the effects of Brexit and to increase our understanding of how to react to the economic shock resulting from it. Comparative. Analysis A comparative analysis is the process of comparing two or more things in order to determine the degree to which they share similarities or diverge from one another. This paper will examine the effects that the United Kingdom’s decision to leave the European Union (EU) will have on the economy, as well as the potential solutions, by comparing the levels of imports and exports, unemployment rates, exchange rates, and other economic data both before and after the UK leaves the EU.

The Greek government-debt crisis is a representative topic that shows the inflexibility of the monetary policy of the ECB and how it can harm the Greek economy in considering different economic conditions. The inflexibility of monetary policy shows the disadvantages of a one-fits-all solution carried out by the ECB in EU 27 and EU15. This study aims to analyze the impact of eurozone monetary policy on its member states and to what extent the inflexibility of monetary policy can be detrimental to a state’s economic growth and price stability. The empirical test and case study are carried out for further analysis, and the results indicate the important role of inflexible monetary policy in the case of the Greek government-debt crisis and its further impact on the steady economic growth of Germany. The ECB’s monetary policy is revealed to be volatile and uncertain, which brought undesirable economic growth outcomes for the Eurozone. However, considering the complexity of integrated monetary union and the previous case of Greece, exiting the Eurozone is not the best solution to recover economic growth.

The outdoor sports industry plays an essential leading role in developing the sports industry. Based on the essential characteristics and current development status of the outdoor sports industry in Changsha, the impact of COVID-19 on the demand and supply of the outdoor sports industry was studied. It is concluded that the demand side of the outdoor sports industry is affected by weather factors, high risks, competitive products generated by the progress of new technologies, epidemic prevention policies and related policies supporting outdoor sports development, and the transformation of people's pursuit of nature. On the supply side, it is mainly affected by the workforce shortage and innovative talents, limited site development, inadequate material supply, weakened entrepreneurial enthusiasm, and government policy support for entrepreneurship and small and medium-sized enterprises. In the face of hazards and opportunities, we should focus on improving the management and service level of outdoor sports enterprises, giving play to the function and role of sports social organizations, scientifically deploying major outdoor sports activities and event preparation, and enterprises to carry out self-rescue, and strengthening the long-term tracking research on the development of outdoor sports enterprises after the epidemic.

The problem studied in this thesis is based on the volatility of the world economy as well as commodity prices exacerbated by geopolitical risks in the global economy due to the Russian-Ukrainian conflict. In the context of NATO's eastward expansion, tensions between Russia and Ukraine have been increasing, and an armed conflict broke out in February 2022. Russia and Ukraine are closely linked to the world economy, and their relations with a number of countries have been strained by the conflict, which has significantly changed the situation in the world and in some regions. Based on these international events and facts, this paper uses literature reading and analysis to discuss and explain the reasons for the changes in crude oil and gold prices and their impact on the international economy, especially on some European countries that import crude oil from Russia. It can be concluded that the Russian-Ukrainian conflict has multiple factors affecting the world price of crude oil, but the end result has led to its rise, which in turn has led to a rise in the price of gold as well.

Since the turn of the 20th century, China's real estate industry has been expanding, playing an increasingly vital role in fostering the growth of the national economy. On the one hand, rising housing costs can stimulate the growth of linked companies. Nonetheless, it also causes a number of social issues. Through theoretical research, this study examines the impact of two-pillar policies (monetary policy and macroprudential regulations) on real estate values in China. The analysis reveals that quantitative monetary policy influences real estate prices via credit scale, whereas price-based monetary policy influences real estate prices via loan interest rate. However, there is a tension in monetary policy between "boosting the economy" and "stabilizing property prices". When monetary policies govern housing prices, macroprudential policies, particularly LTV instruments, can avert systemic problems and compensate for the spillover effects on the real economy. Consequently, it is imperative to establish and enhance the regulatory framework for two-pillar policies.

The unconditional and regular payment of a certain amount of cash income to the entire population is a claim to universal basic income and a system that is distinct from the existing social welfare systems. Policy experiments on universal basic income have been going on since the end of the 20th century and have been seen by some scholars as a solution to major social problems such as technological development, economic downturn, and poverty. Especially under the impact of the 2020 pandemic, the world's development is once again hampered, and how to better solve the problems of low-income people is an important issue to be addressed by the social welfare system. It is worth noting that the policies introduced by governments under the pandemic have some degree of universal basic income characteristics. This article will analyze the merits and importance of universal basic income in the context of the welfare policies introduced by governments under the pandemic. Considering the economic difficulties in the post-pandemic era, it is worthwhile for countries to explore universal basic income as a basis for new social welfare systems, despite the potential difficulties in implementation.

In order to cope with persistently high inflation since the COVID-19 pandemic, the Federal Reserve has adopted a continuous monetary tightening policy, raising the federal benchmark interest rate three times in a row. Meanwhile, as the United States is a big importer, its monetary policy is bound to affect many countries. Therefore, this article will from the interest rate, import, and export, etc., to analyze the influence on China; the final purpose is how to make it clear that the federal reserve's monetary policy impact China to take appropriate measures to avoid some adverse effect, give full play to the government regulation function, before the crisis timely regulation and economical price, can avoid significant economic losses.

The COVID-19 pandemic is one of the most influential challenges of the 21st century. It has led to a great concern about the security of human mobility. Unlike other crises or disasters in the past, COVID-19 has generated profound social and economic impacts. The tourism industry, in particular, whose development and prosperity are strongly contingent on human mobility, has been significantly hit by the COVID-19 shock. It is thus particularly important to take a closer look at the resilience of tourism. This study takes the case of Hainan –a well-known tourism region– to analyze how tourism economies respond and cope with the COVID-19 crisis. In China, it is well documented that strong top-down government measures and intervention policies are crucial and irreplaceable, which can timely enable the resilience of the whole tourism industry during the pandemic. Besides the presence of multi-scalar strong government agencies, this paper, therefore, takes a step further to scrutinize how other actors (e.g tourism firms) work with state actors to respond and adapt to COVID-19. This study could be useful or serves as a reference for further researchers to explore the regional economic resilience issue under COVID-19 in China and also in other developing economies. It will also offer possible directions for future research agendas in the area.

This paper proposed a forecasting model of the NFT index (NFTI) in the following year through repeating simulations applied to the univariate multivariable regression model. Beginning by choosing suitable predictors for the regression model which might affect NFTI through the best subset regression method, the team creates the multivariate regression model consisting of four dependent variables which are the log return of BTC, BTC/NFTI, NFTI spread, and NFTI volume/spread with respect to the independent variable log return of NFTI. Application of the regression model to the simulations based on the historical data generates 1000 pairs of data of log return of NFTI and log return of BTC as well as the corresponding predicted price of NFTI and BTC which are moderately correlated. Results are summarized in the cross-tabulation to quantitatively analyze the relationship between two variables which provides information for the investors about how they should formulate their own investment strategy. The results suggest that NFTI outperforms BTC unless NFTI crashes. Therefore, investment strategies can be made depending on the trend of BTC in the following year.

Changes in the environment affect enterprises in different industries. The Covid-19 crisis has been a challenge for companies in recent years, and this article is based on it. This work analyzes Chinese companies in four different industries: LaoXiangji, Freshippo, Xibei, and Shanghai Mandarin Oriental Hotel; they all survived in times of crisis. Based on the analysis and further discussion of the four companies' responses and strategies in the face of COVID-19, enterprises may need to establish strategic alliances, meet the psychological needs of consumers, pricing strategies, and develop new business models. A hostile macro environment can lead to large numbers of companies going into debt and closing down. Therefore, leaders need to make decisions quickly and correctly. Although the suggestions are suitable for most industries, companies must consider the environment and industry characteristics to make unique decisions with competitive advantages to improve competitiveness and reduce the impact of the crisis.

The UK held a referendum and officially announced its departure from the European Un-ion in 2016. The political and economic landscape within the UK began to change signifi-cantly, including a sustained economic downturn, rising prices and a shortage of some re-sources. In the fourth year of the UK's exit from the EU (2019), Corona Virus Disease 2019 (COVID-19), caused by a novel coronavirus, was discovered in China and it rapidly expanded and broke out worldwide. Amidst the global tensions, Chinese students in the UK were being affected in unpredictable ways. This article will analyze the impact of Brexit and the epidemic on Chinese students in the UK in terms of the international stu-dents' financial situation, daily study and life, with the aim of helping the public to recog-nize the hardship that this group of people is now facing and to call on the public to initi-ate protection for Chinese students.

This article examines the importance of venture capital to the financial industry and the world economy over the past 30 years. Venture capital is a powerful driver of the U.S. economy and the world economy. Further, this paper cites the research results of different authoritative authors from SSRN for a comprehensive discussion. The data source of this paper mainly uses the form of a questionnaire survey. This article mainly explores the standards and procedures used by eight venture capital firms when making investments. These criteria are generating deal sourcing, investment selection decision, tools and factors in the evaluation, contracting and structuring the investments, monitoring and post-investment value-added, VCs' exit, firm internal structure, and relationships. In the end, this paper refers to the importance of factors for venture capital firms to make decisions in different periods. Comparing different research results, it is shown that not only eight factors are the factors that determine venture capital firms' investment decisions, but also luck is part of the reference factor.

This paper analyzes the business strategy of TCL Technology Group Corporation through The Porter’s Five Forces Framework. Competition from competitor sellers, competition from some possible new entrants to the market in the same area, competition from manufacturers of substitute products, supplier negotiating power, and consumer bargaining power are all included in the Five Forces Framework model. TCL Technology Group Corporation development has been a qualitative leap after restructuring and the company comes out on top in the world. TCL Technology Group Corporation is faced with fierce competition among leading enterprises which encourages it to promote development of core technology, while it has little substitute products and lower threat from new entrants because of its technical expertise. However, TCL Technology Group Corporation is weak in supplier bargaining power due to similar supply needs among various companies, at the same time, customer bargaining power is strong. Researching on TCL Technology Group Corporation, it is obvious to find out the situation company is faced with and the competitive strategies which is suitable for TCL Technology Group Corporation development in the future.

The aim of this paper is to compare model the q-factor model with the Fama-French three-factor using multiple regression techniques and tests. This is done by constructing the market, size, value, investment, and return-on-equity factors with features tailored for the Chinese stock market using 60-month pre-COVID Chinese stock market data. One specific feature tailored for the Chinese stock market, which is eliminating the bottom 30% size of stocks to avoid shell value contamination of returns, is explained. Differences and similarities between the Chinese and the U.S. stock market that can be observed in the process and the results of the regressions and tests are discussed in the paper. It can be concluded that both models behave well in the chosen period of the Chinese stock market, but the q-factor model works slightly better. Other explanatory explorations are done in the paper as well. Limitations of the models due to practical reasons, e.g., the inconsistent changing dynamic of the Chinese stock market institution, and potential further explorations, e.g., potential shell stock pricing strategies, are also discussed in the paper.

Fama-French factors model (FF-3) is a famous model derivate from CAPM to explain the stock return. However, in China, in consideration of A-shares, a more suitable model for Chinese market is in need, thus a China three-factor model (CH-3) was constructed. There was no doubt that China three-factor model dominated Fama-French three-factor model from 2000 to 2017. Nevertheless, in recent year, due to the COVID-19 and the change of world situation, China Stock Market had also changed. In this paper, we tried to use our knowledge and extended the data to 2021 to test the effectiveness of each model. According to the analysis, the effectiveness of Fama-French factors model is almost equivalent to China three-factor model in recent year based on the data validation, while China model can still dominate Fama-French model if one includes the data since 2000. Overall, these results shed light on guiding further exploration of model selection for assets evaluations.

The sustainability of the food delivery services industry remains questionable as time finally reaches the end of the COVID-19 pandemic. People are no longer forced to decide on any dining options. Therefore, it is significant to identify how consumer preference changes over the pandemic to predict better the future growth rate of the food delivery services industry. This study aims to identify the leading factors that affect consumers’ decision-making in choosing food delivery services and to explore how the consumer preference toward food delivery services has changed before and after the the COVID-19 pandemic. This study also examines how consumer behaviors change according to the environmental change in their living status. The study uses data and an empirical approach to purposefully and methodically determine the causal relationship between the conditions and phenomena provided in the above research subject, consumer preference for food delivery services. The study suggests that consumer preference is enhanced through the pandemic and is unlikely to slow down after the outbreak ends because other dining options' experiential values from the service's features are irreplaceable. By analyzing the data obtained from other literature resources and statistical evidence, it is sure to conclude that consumer behavior toward prioritizing food delivery services is unlikely to change due to the attractiveness of the service still maintained after the pandemic.

Since the reform and opening up, China's real estate industry has prospered rapidly and has become an important force driving rapid economic growth and promoting urbanization. In recent years, China's real estate industry has entered an inflection point of development, and real estate bubbles and cyclical sharp fluctuations in the real estate market have occurred from time to time. Behavioral finance has provided a new research direction for how to explain this fluctuation. Based on this, this essay uses the classic anchoring effect theory in behavioral finance theory to study the existence and characteristics of anchoring effect in China's real estate market from the micro level, and explains the entire mechanism through three applications. The first application empirically tested the existence of the anchoring effect in China's real estate market, and analyzed the difference between the anchoring effect in the eastern and western regions of China. It verified that the decision of housing prices in the central region was affected by the anchoring effect of the micro subject, while the anchoring effect in the eastern and western regions was not significant. The second application analyzed Hong Kong's secondary residential market, and a statistical model including anchoring effects was also presented in order to study the dynamics of house prices. The third application provides an improved Hedonic model, which combines various literature data to study the influence of age, growth area and other characteristics of home buyers on real estate prices under the anchoring effect.

The food delivery industry is prosperous in China with hundreds of thousands of people ordering takeaway since 2012. Most of the people in China acknowledges that the spread of smart phone largely accounts for the prosperity, since it makes takeaway accessible for most of people. However, the increasing tendency may be different in the next decade, because nearly all people have a smart phone and thus are able to access takeaway easily. The remaining space for takeaway is little. Therefore, for some economic and social purposes, it is important to find the future tendency. An accurate result that predicts the future tendency in the next decade may be supportive for scholars and researchers to make more prediction and generate more results, which will boost the economy and society. Thus, this study aims to find the tendency of the fast-food industry in the next decades. Statistic tools will be used in the study.

Today's poor overall marine environment and severe overfishing have led to some negative impacts around the world. The topic of this research is the effect of overfishing and how to solve the problem of overfishing. Besides, this paper used the literature research method to study this topic. The survey results show that overfishing has a negative impact on the local environment and the ocean in all three locations, Qingdao Jiaozhou Bay, Newfoundland fishery, Gulf of Aardvark. We should pay attention to this problem and start to deal with it. The paper argued that overfishing can affect marine biodiversity, reduce species or even lead to species extinction. In addition, overfishing increases the world's carbon emissions, which ultimately leads to global warming.

People are always pursuing the minimum risk while seeking for maximum profit when investing, so they often use a variety of different strategies or portfolios to reduce investment risk. Among these, hedge funds are the most common type of portfolio used by fund managers. By using different strategies to buy different stock portfolios, hedge funds can effectively hedge the risk of a single stock or fund, so as to minimize the risk. However, hedge funds contain many different strategies and not all the strategies can process effectively in the market. We must analyze the market and pick up the most suitable strategy. In this case, this article will discuss the effect of their actual operation in the market based on these strategies. The article will analyze five different hedge fund strategies, including three trades that are relatively successful and two trades which are relatively not so successful. Then the article will deeply analyze the reason why the strategy can fit the market or why did it fail the market. During the analysis, some strategies are suitable for the market while the other are not.

The financial sector is undergoing new transformations with high integration and deep su-perposition of science, technology, and industry, just as the world as a whole is going through significant changes that have not been witnessed in a century. Commercial banks must adapt to the new normal of financial technology and use new achievements without forgetting to control risks. This paper starts with the concept of fintech and the advancing fintech technologies. Then summarizes the existing methods of fintech quantification. Af-ter that, collect some influencing factors of bank credit risk. Finally link fintech with bank credit risk, and and review the research in this area. At the end of this paper, the limitation of the previous studies and the possible future research directions are proposed.

Augmented reality (AR) is increasingly utilized in the tourism industry as a medium for marketing, information, and experience. Only a limited number and areas have em-braced this innovative technology. This paper summarizes the current applications of Augmented Reality and speculates on future applications and where current usage of aug-mented Reality can be applied in the tourism industry. The paper's main purpose is to ana-lyze the value and usage of AR's qualities and potential as a business tool used in advertis-ing and marketing for the tourism industry to increase consumer satisfaction.

Sephora is a global corporation that deals with the production and sale of beauty and personal care products. The company is headquartered in Paris, France, and is owned by Moet Hennessy Louis Vuitton (LMVH) luxury conglomerate. Since its inception, the company has experienced steady growth due to accessing more clients and increased sales. The use of digital marketing strategies such as search marketing, display advertising, social media marketing, and augmented reality plays a significant role in the success of the company. Each of these strategies has contributed to the growth of Sephora as a cosmetics corporation. The company records more online sales than offline sales due to the increase in internet usage and accessibility of online marketplaces. As a company that invests in modern digital marketing strategies, Sephora has effectively positioned itself in the target market and has gained a wide client base with millions of loyal clients who love luxury beauty. An analysis of Sephora's marketing strategy is important to outline how the company has been successful in recent years. We are going to analysis what are the current marketing strategies that Sephora implements in the marketing plans, how have Sephora’s marketing strategies evolved over the years and how do the marketing strategies contribute to the general success of Sephora. This research mainly adopts the case study method to analyze the marketing strategy of Sephora. Through our research, we found that Sephora has a good marketing strategy that brings a lot of advantages to their company.

The coronavirus has dramatically changed the trend of global consumer behavior, further highlighting the function of digital marketing strategies. This article adopts a literature study that refers to research focused on the use of digital marketing in business. This research would be useful for future academic research to focus more on the relationship between digital marketing and customers’ purchase decisions. It first mainly illustrates that digital marketing communication plays a valuable role in promoting the purchase decision of consumers during a pandemic by providing a case study of cosmetic consumption behavior in Bangladesh. It then demonstrates the dilemma faced by small and medium enterprises (SMEs) and how to use digital marketing to enhance the brand image for better business performance. To a considerable extent, digital marketing was regarded more as a boon for those who influenced SMEs by improving their brand awareness in a particular period, and they can use digital marketing to improve their popularity.

The traditional text era has gradually declined, replaced by the boom of short video. In the rapid development of the Internet information age, people's interests and habits have begun to quietly change. Text newspapers and periodicals have become the past, and industry reform has become an irreversible trend. In this process, how to realize the visualization of text data and the transformation of big data is a topic that countless practitioners have been struggling to explore. In order to realize the transformation from text data to short video, the focus of the problem is to overturn the working mode of text data and build a new architecture based on the new trend of short video big data. Because of the limitations of text big data, there are inevitably many drawbacks in today's Internet society. Not only is the media backward, but also the content can no longer meet the needs of the majority of people. It has gradually been recognized as a "sunset industry" in society. On the other hand, short video big data not only caters to the needs and hobbies of the majority of people in the current trend, Moreover, it has made great progress on the development of technological innovation and mode innovation. Compared with each other, short video big data has incomparable advantages over text big data. It is not so much a competition between them as a new revolution of short video big data for text big data.

Personality test such as MBTI (Myers-Briggs Type Indicator) has started to become a viral topic lately that have brought up the trend of personality test worldwide. At the same time, it also has the assignable influence on the aspect of marketing especially in this digital era. This article describes how to evaluate the skyrocketing of the popularity of “MBTI” test by researching and analyzing the key word for the on Google trend. Also, this article also utilizes the comparing method of each personality to emphasize the importance of this trending in the perspectives of marketing in this digital era. Furthermore, this article illustrates the underlying reasons of this trending impact marketing by referring other theories such as the Barnum Effect. Finally, this article concludes that besides the idea that personality tests such as MBTI can increase the effectiveness and efficiency of marketing by allowing marketers gain better understanding about their targeted customers, they can also utilize this concept by creating the viral and trending topics which open a new market with their derivative products or even the memes that could be prevalent nowadays, especially while those younger generation socializing with each other. The significance of this study is to not only explain this personality test concept, but also to demonstrate how marketers can utilize it so that enable them to improve the effectiveness and efficiency of segmentation. In addition, this article also reveals the idea that how people’s daily life is being affect by the label of different personalities unconsciously.

During the COVID-19 pandemic, the prospects for the development of the real economy are not very clear. Every investment decision an investor makes in this environment will bring different benefits to the investor. Comparing only long and long combinations allows investors to judge according to their own different situations what investment methods can make them more profitable or reduce the risk of investment. In Sina Finance, Investors obtained stock information on Li Ning, ANTA, Maotai, GUJING, Tencent and Power Assets Holdings Limited. Investors divided these stocks into three groups, and implemented a long-only strategy and a long-short combination strategy for them, and the final result made investors know that the long-short combination can alleviate some of the damage caused by only long, but at the same time, it may bring more pressure to investors. However, it does not specifically mean that a certain strategy can help investors get 100% returns, and investors need to choose the most suitable investment strategy according to their own situation and investment environment. That is, investors cannot blindly pursue interests and choose risks, nor can investors only pursue low risks and abandon interests, the two need to complement each other and make common progress, so as to bring investors the most suitable investment decisions.

More and more people are getting into the investment industry, which is not an easy job for some beginners. Complicated strategies and varied portfolios can often feel overwhelming and also lead investors into one misunderstanding after another. In order to reduce the hassle of investing, this article will pick the four most common and easy-to-understand strategies: momentum investing, comparing PEG ratios, merger arbitrage strategy, and market-neutral trade. From a version of beginner on how to start an investment portfolio. The background of the eight films selected in this paper will be introduced first, mainly about what the film does. Moreover, the uses of the strategy will be present, as the theory behind them. Then, this paper will present detailed progress, including stock price tendency, results, and future improvements. The calculation of PEG ratios and market-neutral strategy will also be included. Finally, a comparison is also made in this paper, which can deliver the feasibility of each strategy base on the four pairs of trades made. It also introduces how a manager new to stocks makes a decision and the results obtained and sums up a strategy that is most suitable for beginners to invest. However, it is just a brief explanation; different investment portfolios need to use different investment strategies and try more to get more returns.

The lack of dependable savings accounts seems common to the world’s low-income group. It will greatly limit the process of becoming rich, and even cause some people who have been out of poverty to return to it again. Today, new research from the fields of behavioral economics is shedding light on how poverty may shape an individual’s saving behaviors. Hence, this article focuses on two psychological traits that are strongly associated with saving behaviors, especially for low-income groups: scarcity mindset (poverty reducing mental bandwidth) and time preference (favoring immediate rewards over long-term considerations). Through the literature reviewing, we propose a general analytical framework of “poverty-scarcity mindset-limited cognitive capacity and executive control-time preference (present bias)-saving behavior-poverty trap”. Then we present commitment programs and cognitive supports as two anti-poverty policy recommendations based on these phenomena, to promote welfare for low-waged families.

China's inflation rate fluctuation is higher than that of developed countries in the same period, while the world has achieved remarkable economic development. With the economic growth and the increase of income, the problem of income inequality in China has become increasingly prominent. The polarization between rich and poor will affect social stability and become a huge resistance to building a well-off society in an all-round way. Exploring the relationship between inflation and income inequality, and proposing targeted measures to reduce the income gap, is of great practical significance for China to deepen reform and enhance people's sense of happiness and gain. China's economy has also been affected by imported inflation in the context of the global epidemic. This paper will analyze the basic theory of inflation and related effects, and focus on its impact on China's macroeconomic consequences. This paper uses the swot analysis method to analyze the current inflation test in China from the negative and positive effects, threats and opportunities, and interpret the relevant policies of China at the current stage and make a reasonable forecast of the future inflation trend.

In this paper, we study the impacts of the COVID-19 pandemic on the connectedness of the Chinese banking system, and explore the heterogeneity effect of this pandemic. We construct static and dynamic analysis on 14 Chinese banks by building the volatility spillover network proposed by Diebold and Yilmaz to assess the volatility spillover effects caused by COVID-19, and compare it with the previous financial crises in the past 12 years. The empirical findings show that the COVID-19 did impact the connectedness of Chinese banking system and its structure within the system, with the 14 Chinese banks highly interconnected especially during COVID-19 era. In addition, the highly connected and contagious status of Chinese banking system didn't stay long during COVID-19 era compared with previous crises. Moreover, we find a shock-passing path during the COVID-19 era: big banks deliver more shocks to the middle banks, and the middle banks send more shocks to small banks. At the same time, our work presents that state-owned banks, during COVID-19 era, were more contagious and the local banks were more vulnerable compared with their historical performance.

This paper discusses the impact of Covid-19 on the movie theaters, as a representative of the conventional service/entertainment business, forecast the future trends of such cinematic enterprises in the post-pandemic period, and evaluate how effective cash management can boost the growth and survival of businesses in this area. This paper will specify the case study of AMC entertainment, an American movie theater chain that has the largest share of the U.S. theater market and use it as a representative of cinematic enterprise to evaluate the industry. This paper would start with an introduction to the broad context, and the background of the narrow context of this case study, following with the data and financial analysis of AMC, the predictions of AMC’s performance in the post-pandemic era, the indications from this case study to the entire industry, and closes with conclusion and references. This paper may provide some implications to the management, investors, creditors, and general consumers in the movie theatre industry.

In this paper, we are interested about the influence of COVID-19 Pandemics on Nike’s performance in recent years. Whether the Pandemics cause severe outcomes on Nike or not, and how do Nike overcomes these difficulties while recovering its status to one of the most influential sports factories or companies around the world. In the paper, we are diving into several data, such as annual revenues, to evaluate on Nike’s performance in recent years, especially around 2019 to 2021, in which the influence of COVID-19 was world-wide and detrimental to every area of economics state. Then, we are going to evaluate various strategies that Nike has implemented during this period, which helps them to recover from the effect of the Pandemics. Some specific strategies of areas that we are looking for are around business strategies and commercial strategies that Nike implemented around its customers. Finally, we will predict the future aspect of Nike based on the data we researched on, and how the company is going to go from 2022 to now on.

The COVID-19 epidemic has influenced many aspects of financial market, and NPV and IRR are the most important and popular measurements for financial asset (investments) traded in financial market. It is foreseeable that the NPV and IRR are also influenced by the COVID 19 epidemic. The previous researchers have made deep and concise research of them, and this study compares the NPV and IRR from three aspects, including uniqueness, compatibility and assumptions, and use data of companies from North American since 2016 to explore how those aspects have been affected by the epidemic. The exploration process involves the data PIVOT, some statistics skills and data visualization. The conclusion is that the IRR becomes to some extent more reliable because of its higher uniqueness and increased effectiveness within compatibility, but rational investors might not use IRR as an unexceptionable benchmark because of its more unreliable assumption.

China Merchants Bank's private banking development has always occupied first place in China for nearly 10 years. Its centralized management system for the private bank division is worth learning from. This paper focuses on the Chinese private bank centralized management system, and from the comparison with the decentralized management systems in other Chinese commercial banks, such as ICBC and the Bank of China, analyzes the advantages of the centralized one. From the comparison, this study finds the AUM of China Merchants bank is much higher than ICBC and the Bank of China [1], and the assets per household are two times higher than the other two, indicating that China Merchants bank's clients hold more sickness than the other two. Based on the core idea of ​​the three processes of value creation, value transmission, and value capture [2] and the development process of the China Merchants Bank, this study proposes the centralized management model for the private bank. In conclusion, this study indicates that centralized management systems have advantages over decentralized modes in the long run. To reform the decentralized systems, the model suggests centralizing the research team, database and digital platform, and managers’ assessment, which can create more professional investment advice, higher working efficiency, and different holding stages services.

Stock index price forecasting is a very important thing for financial markets. Stock indices select the most representative stocks in the stock market, which are the most favorable representatives of the industry, sector or market. Successful prediction of them can guide investors to a good payoff and allow researchers to understand the workings of the market economy. Time series models are widely used in stock price forecasting precisely because they have the advantage of being able to predict in complex environments such as large shocks. Therefore, this paper introduces the process of using time series model - ARIMA model to establish the prediction of index price fluctuation. And the five-year-long stock index data from May 2017 to April 2022 of the CSI 300 index is used as the research sample to successfully predict the volatility trend of the CSI 300 index in May 2022. The outcomes demonstrate that the ARIMA model has excellent capability for short-term forecasting. and is capable of forecasting complex situations that cannot be accomplished by linear models.

In recent years, most commercial banks are facing the innovation of information technology and digital technology in the context of financial technology, showing a positive development trend. Under this positive development, how to use financial technology to identify risks and effectively improve the efficiency and quality of risk management will become the core competitiveness of commercial banks in the future.Therefore, Studying risk management in the context of China's commercial banks with FinTech capabilities is crucial.This paper collates and summarises the results of previous studies through literature research and finds that there are two types of risks that persist in most commercial banks under the technological empowerment of FinTech, namely liquidity risk and credit risk. In addition, two additional risks, namely technology risk and data risk, are innovatively proposed in the context of FinTech-enabled commercial banks. After explaining in detail the four types of risks, namely liquidity risk, credit risk, technology risk and data risk, a detailed analysis of the above two main types of risks, namely liquidity risk and credit risk, is conducted through relevant data. Based on the problems identified, the paper proposes measures for Chinese commercial banks to cope with the above four types of risks in the context of FinTech-enabled commercial banks. This paper not only completes the current research system and framework, but also aids Chinese commercial banks in raising the level of their own risk management, which would promote long-term growth of the entire financial market.

In behavioral economics, scholars have found that both biases and heuristics affect people's individual or group behavior, and the heuristics also referred to as the shortcuts. Based on this, this article will research and discuss the anchoring effect and its impacts in economically relevant decision making. In addition, the article will explain a few applications in terms of several conditions under which anchoring is generated. It is the numerical priming paradigm, the "comparison-judgment" start paradigm, and the subthreshold priming paradigm. To be specific, the anchoring impact on people’s economics outcomes and individual behavior through the three different mechanisms in stock market, asking price in the real property negotiation, a classical experiment about estimating temperature by using association and hint and so on. In this report, it is going to go through these three mechanisms and focusing on the applications and practical significance of them. They reveal that when people make decisions under various uncertain conditions, the decision makers will approximate the estimated results to the anchor value, resulting in estimation bias.

Loss aversion is an important psychological phenomenon. Adding loss aversion to the category of behavioral economics can well explain many phenomena that cannot be explained by general models. This paper reviews some relevant studies showing the application of loss aversion in the stock markets, real estate markets and COVID-19, and finds that loss aversion does influence people's decisions and the market as a whole. In the stock market, the combination of narrow framing and loss aversion leads to a shorter valuation period and investors’ reluctance to sell the stocks. Loss aversion in the real estate market will drive house sellers to set a higher price, and investors with more experience are even more loss aversion than inexperienced investors. In the context of COVID-19, emergency orders can improve their profits, and the time of blockade can be extended under the loss framing. In general, loss aversion makes people more reluctant to give up what they have, leading to higher trading prices and other problems. Thus, this paper corroborates that loss aversion has more explanatory power than general economic models in some aspects. Further analysis is needed as to how loss aversion can be used to predict and modify people's behavior.

This paper will be examining the effect of endowment effect and loss aversion on individuals through the lenses of self, gender and age, i.e. children, respectively. When examining the endowment effect on self-enhancing by an example of shopping, loss aversion and the endowment effect is found to be more intense to an individual when one is more conscious of “self-threat” (i.e. when prices are higher). Through the lenses of gender, there is a lack of evidence of whether loss aversion is more effective to one gender. However, there are quite a few studies that point to the fact that loss aversion has a relatively more negative impact on female, vice versa, ceteris paribus. In the situation of children, quite a lot studies have proved that endowment effect will not work on children unless someone lead them to focus on themselves, however, children will be obviously affected by loss aversion.

This paper mainly discusses the vigorous development of China's livestreaming marketing industry in the network information age, as well as the problems it has caused, the underlying principles and solutions. Since the 21st century, the industry of live broadcast with goods has been booming. Now, it has gained a great market share. Many people will give priority to the famous anchor with goods when buying goods. However, in such a live broadcast room, the rights and interests of consumers cannot be guaranteed, which leads to many problems worth discussing: there are no detailed regulations, the platform is difficult to manage, the rights and interests of consumers cannot be effectively guaranteed, and so on. This paper discusses what causes these problems and what reasonable solutions can the government and platform have.

There has been a long controversy about the rationality of auto renewing. Customers are observed having hostility against this mechanism, while companies take it as key to fortune. This paper attempts to study the impact of car updates on online video platforms from the perspective of car updates. It is worth discovering that how much auto renew exactly affects the business and why people do not like it. In this paper, the object of study is iQIYI corporation and connection between number of subscribers and auto renewing would be observed and analyzed though its financial reports over years as well as source from Internet. To stand on the position of users, news and social articles are also cited. It is proved that auto renew help companies increase and remain their subscribers. The overuse of auto renewing could be the main reason why users boycott it. Possible developments under the impact of Covid-19 are also discussed.

The COVID-19 pandemic, ever since its outbreak in 2019, has been greatly affecting all aspects of life, and businesses across the world have been hurt as a result of the pandemic and measures taken to prevent it. While Walt Disney Co. has also experienced a decline in profit in years 2020 and 2021, its revenue fluctuates only within 7%, indicating a sign of the success and sustainability of Disney’s business model. This paper will focus primarily on Disney’s two business segments: the Disney Parks, Experiences and Product (DPEP) segment, and the Disney Media and Entertainment Distribution (DMED) segment. The analysis of revenue generated by these two segments will show how the combination of the two segments manages to keep Disney sustainable, as the decrease in revenue in one will be offset by an increase in another. Moreover, the combination of the two and Disney’s reserve of countless well-known intellectual properties will prove the strength in its business model, as it successfully overcame emergencies such as the COVID-19 pandemic.