Proceedings of the 2023 International Conference on Management Research and Economic Development
Canh Thien Dang, King's College London
Javier Cifuentes-Faura, University of Murcia
Contemporarily, the marriage of artificial computer intelligence and the financial stock market has gained increasing interest in recent years. In recent years, forecasting stock prices has also been a more prevalent topic of conversation. Investors lack a coherent knowledge of the model mechanism and prediction results behind stock price forecasts. Hence, this paper will examine Apple, Microsoft, and Amazon, the three largest technology businesses. The three models OLS, Random Forest, and XGBoost were used to predict and evaluate historical data from the past five years. The OLS model has a superior performance structure when dealing with data sets with low data frequency, and its anticipated outcomes are also more accurate, according to the research. In addition, different machine learning models are employed for diverse data sets to produce predictions, hence enhancing the accuracy and dependability of the future predictions. Overall, these results shed light on guiding further exploration of investor investments in stocks and researcher studies theories and models.
Misreporting numbers in a company’s financial statements is not negligible, as manipulations will not reflect a reliable disclosure. With financial manipulation becoming more and more regular, it is obvious that solving financial manipulation is an issue that needs to be addressed gently. It becomes a necessity to find techniques or mechanisms that can effectively identify the potential of financial report fraud, increase the credibility of the corporation and boost the confidence of investors. In this paper, we argue that the M-score and F-score as two reliable tools for predicting the possibilities of financial manipulations. In this essay, we will introduce the background and principles of these two mechanisms, then verify their reliability and effectiveness on sample Us-listed Chinese companies, which include those associated with financial report frauds in the past. In addition, we will lay out our discovery and full verifying procedure to help readers have a better understanding of our research and perspectives.
Following the founding and operation of a corporation, the biggest challenge it faces is the risk of bankruptcy, so how to prevent, controlling, and analyze the causes of bankruptcy is one of the most critical tasks for every company. As we all know, many factors affect corporate bankruptcy, and most studies are based on a unilateral or small range of factors set to study its impact on bankruptcy. Based on the data provided by Taiwan Economic Journal from 1999 to 2009, this paper adopts univariate and multivariate analysis models to analyze the data. A 3Comparative analysis, Normality test, T-test, non-parametric test, ANOVA test, Factor analysis and logistics were carried out using SPSS auxiliary tools Regression (Regression) controls relatively comprehensive factors that affect a company's bankruptcy from an overall perspective. It aims to demonstrate the selection of bankruptcy factors and analysis ideas. After analysis, we conclude that through the research and analysis, we have a new understanding of the causes of corporate bankruptcy. We find the four most important factors affecting corporate bankruptcy. Namely, ROAC before interest and depreciation before interest, Liability to Equity, Total assets to GNP price, and No credit interval, In addition, many single factors may have no impact on a company's bankruptcy. However, when they coexist with other factors, they will have a chain effect, resulting in even multiple amplification of the risk of bankruptcy. Therefore, different from the specific analysis of the impact of single factors on the bankruptcy of a company, this paper extracts the primary factors and takes the analysis of the relationship between individual factors as a specific example by showing the research perspective of innovation to propose the actual operation of a company from the macro and micro aspects, that is, to clarify which departments and decisions to pay special attention to in daily operation.
Owing to volatility in stock markets, it is quite elusive to forecast stock prices. Albeit, sometimes regular patterns are manifested in stock prices and a variety of factors are proved to be competent to determine stock prices partly. Hence, using stepwise regression on historical stock price data, this paper proposes determining similar patterns in stock prices and exploring potential rules to select the main factors that can affect stock prices significantly while taking all factors into account. Difference analysis is also employed to probe possible correlations in the data. Eventually, this paper tries to improve stock price prediction using factor analysis and manages to achieve higher accuracy.
This research uses the literature research method, the case study method, and the qualitative analysis method as research methods to analyze the influence of customer psychology and marketing psychology on business decision-making through four aspects: stock investment selection, necessity purchases, marketing, and discretionary expenditure. Meanwhile, the author chose the specific period of the epidemic because the social background caused people's psychological fluctuations, which have significant implications for business decisions. The delayed investment brought on by the pandemic affects aggregate supply and aggregate demand, and while the impact may take some time to be apparent, the magnitude of the impact depends on the scale and duration of the outbreak. Through analysis, enterprises need to put valuable customers at the center of business decisions as the basis of business decisions, so that businesses can focus on exploring ways to develop in unknown areas.
China has made enormous strides in economic development since the reform and opening up., while medicine and health care are relatively backward. Medical insurance is a very important social insurance project and an important institutional arrangement in the modern social security system. In addition to the common functions of social insurance, it also protects the physical and mental health of workers timely. It has special functions such as repairing labor capacity, reducing the economic burden of workers and their families, improving the physical fitness of the whole people, and promoting the healthy development of health services. Research question: which is better, Chinese insurance or American insurance. This paper analyzes the advantages of American insurance and the disadvantages of Chinese insurance through comparative research. This paper compares the coverage and protection, objects of insurance in China and the United States. By summing up the advantages of American insurance, it hopes that it can play a reference role in improving China's insurance. After analysis, this paper can draw the conclusion that the state needs to strengthen the people's awareness of maintenance, control the growth of medical expenses, and implement nationwide medical insurance.
With the development and broad adoption of digital technology, digital transformation (DT) is becoming an increasingly crucial factor in the long-term growth of small and medium-sized businesses (SMEs). SMEs account for the majority of employment and tax revenue in China. Yet, as a result of COVID-19 and the economic depression, Chinese entrepreneurs are confronted with several hurdles and obstacles. Thus, the purpose of this study is to identify suitable methods for SMEs’ adoption and application of DT by analyzing existing literature and statistics and the successful case of DT adoption by existing firms. According to the study, digital assessment, corporate operations and management with DT, digital ecosystem integration, and optimization of DT practices would increase efficiency, expand market reach, enhance competitiveness, and facilitate collaboration. So, the results give the Chinese government policy suggestions for the long-term, sustainable growth of small and medium-sized enterprises (SMEs) and practical advice for dealing with economic changes after an epidemic.
Blockchain technology has been the topic of several recent studies in area of accounting and auditing. These studies explored the potential of blockchain on changing the traditional approach to accounting and providing more secure and efficient methods of bookkeeping. Results of these studies suggest that the blockchain has the potential of being a powerful tool or even something disruptive in sector of accounting, auditing, and accountability. Blockchain can significantly increase trust, transparency, and accountability since its nature of decentralized ledger system and the cryptographic algorithms under the system. These studies also suggest that blockchain has the potential to tackle fraud in accounting activities, which is always a challenging topic in accounting industry. Current focus of blockchain research in accounting, auditing and accountability is about exploring blockchain’s positive impact on accounting industry, especially on trust, fraud detection, and the design of accounting systems.
The exploration of anchoring effect has developed for a long time in history, and there are many outstanding works. This paper briefly introduces the possible influence of anchoring bias on individual behavior and economic outcomes in behavioral economics, and summarizes the definition, background and significance of this bias. It also uses three applications, including the estimation in the stock market, the retrospective data in the empirical research and the marketing and advertising to prove that the anchoring effect could be important and common both in daily life and economic activities as thinking and decision-making will be affected by this effect. This article finds that the anchoring effect does exist in many economic activities and affects judgments and decisions. This kind of influence sometimes leads to misjudgment and brings negative significance, but sometimes it can be used by people.
With the rapid development of modern financial industry, the valuation methods for modern enterprises are becoming more and more diverse. However, the DCF financial model is still a relatively common and accurate one. This paper will adopt the DCF valuation method, which is one of the cash flow discounting-based methods, to valuate a Chinese new energy enterprise called BYD. The result of the valuation is 7.39 trillion yuan, which is about 0.6 trillion from the actual result. The result is slightly different from the normal valuation, because it is still affected by the fixed debt and the estimation error of the future inflation rate and China's growth rate.
Small and medium-sized enterprises (SMEs) can promote the development of the national economy and society. In the market, small and medium-sized enterprises can provide jobs, promote technological development and accelerate economic growth. With the development of big data and management information systems, small and medium-sized enterprises are facing severe tests. Innovation management is an implementable way to meet this test. Innovation management is an all-round innovation from the main technology, system and management idea of an enterprise. It not only integrates the external resources of the enterprise but also improves the vitality of the enterprise itself and the ability to deal with risks. Therefore, this paper analyzes the problems and countermeasures of innovation management in SMEs in China. By using the method of a literature review, this paper expounds the requirements, current situation, and solutions of the innovative management of Chinese small and medium-sized enterprises and finally draws the conclusion that SMEs should innovate organization and ideas, widen financing channels, and enhance the ability of independent innovation.
In the fierce competition of the market economy, it is difficult for small and medium-size enterprises (SMEs) to obtain enough financing, which affects their further development, and urban firms can help them. This paper selects several urban business firms in Jiangsu and Zhejiang regions, compares their comprehensive strength and explores the influencing factors, and draws the conclusion that the economic development level, government policies, the positioning of banks and strategic investors will all have an effect on the comprehensive strength of urban commercial banks. This paper also gives some suggestions that the government should be more responsible to regulate the urban banks, banks should choose whether to need strategic investors according to their own conditions, and the urban commercial banks should insist on providing financing services for small and medium-size companies, so as to promote the coordinated development of regional finance.
What can each country learn from this? How can economic crises be effectively avoided? When an economic crisis occurs, what can be done to avoid adopting the wrong policies? This paper is based on the economic crisis that occurred in Japan in the 1990s because of the rapid appreciation of the Japanese yen following the signing of the Plaza Agreement. The paper is divided into four sections to analyze the Japanese economic crisis of 1990. It describes the following questions: what led to the crisis in Japan; what impact the crisis had on Japan; what methods the Japanese government used during the crisis and what lessons the crisis brought; what each country can learn from it; and whether they can do better than the Japanese government did when it faced the economic crisis in 1990. Through the study, this paper finds that the Japanese government in 1990 did not immediately deal with and make adjustment plans when faced with the crisis. Secondly, it maintained an optimistic attitude. This is what led to the creation of the economic crisis. And this economic crisis pressed the pause button on Japan, which was growing at a fast pace, and stagnated the Japanese economy for 10 years. The effects of Japan's high ageing population and high divorce rate in that period continue to this day and seriously affect a country's economic development.
Nowadays, consumer behavior is no longer just to meet the basic needs of life, but is seen as a way of dealing with emotions. Gifts are no longer just given to others, and more and more people are eager to buy gifts for themselves. Competition in society is increasingly stimulating, and fear or anxiety has become an indispensable part of life. To alleviate stress or provide self-motivation, and empower themselves to face the challenges of work and life, the frequency of self-giving is increasing. Merchants should pay attention to this changing consumption trend and actively change some controllable external factors, such as store decoration, lighting, music, etc., which subtly affect consumers' shopping. They should try to increase the frequency and frequency of consumers' self-gifts as much as possible, thereby winning over competitors in commercial competition.
Automobiles are good partners for the American people to live and work with, and the automobile industry has made remarkable contributions to the economic development of the United States. In this paper, the development level of the automobile industry is measured by the annual sales volume. With the help of economic demand determination theory, through the combination of qualitative analysis and quantitative analysis, it is found that prices, policies, and consumer expectations will impact automobile sales volume and then affect the development level of the automobile industry. This paper can provide a reference for the decision-making of government, automobile enterprises, and consumers.
Since the turn of the 21st century, China's e-commerce has exhibited a rapid development trend of diversification and internationalization. The number of users on e-commerce platforms has increased significantly, the network infrastructure has continued to improve, the number of cross-border e-commerce transactions has risen steadily, and the two-sided matching problem inherent to it has become a topic of increasing interest. Each agent in the e-commerce market may have several attributes, and e-commerce market matches are sophisticated and multi-variant. Thus, the development of a suitable matching mechanism is crucial for the market's effective operation. This paper explores the prior literature on two-sided matching theory and its application in the e-commerce sector, combs its research progress, summarizes the advantages and disadvantages of present matching approaches, and anticipates the growth of application domains in the future.
The chief executive officer (CEO) is the enterprise's leader and plays a crucial role in business growth. Thus, the impact of the CEO changeover on the company and the selection of a suitable replacement are equally crucial considerations. This research utilizes data from Shanghai and Shenzhen-listed corporations. Using China's shares from 2010 to 2019 as the primary sample and earnings per share (EPS) as the performance indicator, we examine the influence of CEO turnover and succession sources on the company's performance. This research examines the pertinent literature and concludes that there are numerous elements that influence corporate performance, such as CEO turnover, firm size, debt ratio, etc. Several control variables are selected to develop an econometric model in order to control the influence of other factors affecting independent variables and dependent variables. This paper focuses on empirical analysis, does descriptive statistical analysis and multiple regression analysis, and employs the PSM-DID model for robustness testing in order to investigate the effect of CEO change on firm performance. After accounting for the endogenous or self-selection bias of the control sample, the study indicated that CEO turnover has a detrimental effect on company performance. From the standpoint of succession types, the corporate performance of listed companies with external successors is inferior to that of publicly traded companies with internal successors. On the basis of the above empirical findings, this study makes related recommendations for the current corporate management practice in China.
With the target to achieve national carbon emission peak levels by 2030 and carbon neutrality by 2060, China has diverted a large portion of its resources on the development of renewable energy. As one of the most important domestic renewable energy industries, the photovoltaic industry grows at a rapid pace over the last decade. The essay illustrates the outlook of the photovoltaic industry in China at current in the perspective of industrial achievements and China’s position in the global market. Through a comprehensive analysis, the challenges of stagnating core technology, imbalance between surging demand and limited supply as well as the dearth of human capital are highlighted. Aiming at a fully-fledged solar energy market in the future, specific suggestions for PV firms and the government will be given. According to the three problems, expansion strategy is advised for firms: expansion of production scale; expansion of recruitment range; and expansion of technology application. Synchronously, the government is proposed supporting policies including fiscal support, academic support and technological support.
With economic development and technological innovation, mobile phones have gradually become necessary for people's lives. Today's mobile phones have both standard communi-cation and powerful entertainment functions. This study uses the methodology of Litera-ture research and Comparative analysis to infer the competitive structure of the Chinese mobile phone market through secondary data collected and to provide corresponding com-petitive strategies for each manufacturer to cope with the complex social environment, which is of great significance to the development of the Chinese mobile phone market. The study found that: the competitive structure of China's mobile phone market is in a state of monopolistic competition, with high product differentiation and relatively easy exit and entry for manufacturers. With high manufacturing costs, finding a competitive strategy that works for the company to survive better in the competition is vital. Moreo-ver, among these many strategies, technological innovation is the most effective way for every manufacturer to drive.
Customer relationship management, abbreviated as CRM, is a concept used in marketing that focuses on the customers’ needs and satisfaction to improve the company's performance. CRM puts the customer at the center of the company's operations, and all the information related to them is considered in making the company's important decisions. In the business world today, technology has changed traditional procedures due to the emergence of the internet and social media channels. Social media has changed everything from lifestyle to business operations. In this context, large and small business organizations are adjusting to the changes by adopting social media in their marketing strategies. It is clear that customers are the only source of current and future profits for the company thus, developing systems that are customer-centered is the new norm in the business world. Traditional CRM uses internal strategies that help understand customer needs, while Social CRM uses social media platforms to manage their customers. Integrating social media and CRM has helped companies improve customer interactions and offers ways of managing and measuring social networking for successful customer engagement. This paper aims to review various studies touching on the impacts of social media CRM on large Corporations in the UK.