Diversification strategy is a common and important method for enterprises to expand business scope, effectively use resources, and improve economic benefits. However, not all companies that have adopted a diversified strategy will be successful. There are still some controversies about the relationship between diversification strategy and firm performance. Based on summarizing the diversification theory, this paper evaluates the performance of Gree Group under the diversification strategy through financial indicators, Tobin's Q value, and share of revenue. We draw a conclusion that Gree's current diversification strategy is not suitable for the future development of the enterprise and provide suggestions about the adjustment of Gree’s diversification strategy.

Marketing has always been one of the most important keys to business success. With the development of society, market competition is becoming more and fiercer, and enterprises have deeper requirements for marketing. The traditional marketing model has been unable to satisfied all the demands of enterprises. The rapid development of new media in recent years has also given birth to a series of new marketing models. This paper mainly analyzes and compares two marketing models, the traditional marketing model and the new marketing model, and draws a conclusion that the new marketing model is more effective. This new marketing model is more helpful to help enterprises achieve the ideal sales target, and is also more effective for far-reaching development of companies' brands. This paper can help people clearly understand the differences between these two marketing models.

We analyzed the advantages and disadvantages of Starbucks environmental scanning. Its advantage is the high quality of the product, and the third aspect is the strong sense of experience, the advantage of social media, and localized marketing. The disadvantages are high product positioning, fast store opening, and the pressure of financial chain management and supply chain management. However, in our survey, we also identified opportunities to expand online sales and mobile payments to maximize benefits in today's globalized world. However, despite Starbucks' growth prospects, its position is now precarious due to low coffee acceptance and threats from coffee brands such as Lucky Coffee. According to the analysis, Starbucks can improve its current weakness by strengthening its market power, expanding its strategy, differentiating its strategy, and adopting a reasonable and flexible pricing system.

Under fierce market competition, there is a need for enterprises to analyze and predict the behavior of consumers in order to improve the market competitiveness. We find that in the previous literature, there is little specific systematic summary and research on the methods to predict customer behavior. Thus, in this paper, we discuss relevant concepts of customer behavior and predict consumer behavior by studying the operation mechanism of Big Data Analysis (BDA), Decision Tree (DT) and Consumer Relationship Management (CRM). We also study the application of each technology to enterprises in different fields and its impact on consumer behavior. BDA can efficiently organize a large amount of data into several variables that is related to the prediction and provide a reference prediction for the business. DT can effectively improve the accuracy of market segmentation, classify customers into sub-customer groups with distinct consumption characteristics, and help enterprises make targeted decisions. CRM can collect customer information through data sampling to build a comprehensive view of customers, and create customer analysis and prediction models according to the different needs of the enterprise. Studying the past consumer behavior can help enterprises to better develop products and make personalized decision plans for specific customer groups.

Silicon Valley Bank went bankrupt in March 2023 and was overtaken by the Federal Deposit Insurance Corporation (FDIC), announcing its entry into bankruptcy liquidation proceedings. This event has aroused strong market attention and extensive discussion. Based on the history of the construction of Silicon Valley Bank, the characteristics of the bank, and the reasons for its failure, we have sorted out and studied the reasons for the failure of Silicon Valley Bank. This article proposes effective management measures for strengthening risk, management and asset allocation of Silicon Valley Bank through analysing its risk management and asset allocation from four aspects: credit risk, liquidity risk, market risk and operational risk. The reasons for the failure of Silicon Valley banks is analyzed in terms of liquidity, lending, markets and decision-making. We hope that through this research, managers can improve relevant financial loopholes in a more timely manner to avoid similar incidents from happening again.

This paper examines the impact of monetary policy and capital regulation on commercial banks' systemic risk using a fixed panel model with data from 16 listed commercial banks in China from Q1 2011 to Q4 2019. The results show that both quantity-based monetary policy instruments, represented by currency issuance, and price-based monetary policy instruments, represented by interest rates, affect systemic risk. And they both show that accommodative monetary policies amplify commercial banks systemic risk. Besides, capital regulation has a dampening effect on systemic risk, and the intensity of regulation moves inversely with systemic risk. In addition, there is a synergistic effect between monetary policy and capital regulation. Furthermore, a symbiotic relationship exists between monetary policy and capital regulation. The findings of this study assist nations in managing systemic financial risks through macroeconomic policies.

Economic globalization brings opportunities as well as challenges to business and labour, and labour rights violations related to sweatshops are one of them. With the human rights movement, more and more social organisations are joining the anti-sweatshop movement. In this context, governments have also been deemed to need to collaborate and take action to ban the sale of products manufactured under sweatshop conditions. This essay will address the anti-sweatshop movement from the perspectives of sustainable supply chains and corporate social responsibility. After analysing the reasons that influence the formation of sweatshops and the importance of the need to eradicate them, the essay will argue that by doing so various governments can effectively promote awareness amongst businesses of their need to adhere to corporate codes of conduct and fulfil corporate social responsibility, and as a result these corporations will have the potential to safeguard labour rights and promote their own sustainable development and social justice.

Asian options are also known as average price options, and their strike price is the average price of the stock in the market half a day before the strike. Binomial model is a good model to identify the value of options, The paper develops the theory of Asian chooser options in the two-period binomial model. There are Asian call options, and Asian put options. We first derive the binomial model of the Asian option and get the portfolio function. After that, we get the number of bond and stock, Nb and Ns. We study the problem via five different cases in the two-period Binomial model. In these five cases, we choose the maximum value between Asian put and call options. Then, we decide whether they are call options or put options. Then, we calculate the number of portfolios in these five cases in the two-period binomial model. Finally, we implemented the whole project with Python.

This paper introduces an innovative approach that utilizes support vector machines (SVMs) to predict the bankruptcy of financial institutions within the United States. The study aims to identify influential factors that contributed to bankruptcy during two significant peri-ods: the 2008 financial crisis and post-2013. The goal is to highlight both shared and distinc-tive characteristics between these time frames. The proposed method incorporates a meticu-lous feature selection procedure to identify the most critical variables for assessing a bank’s financial stability. Subsequently, the SVM model is fed with data containing these key vari-ables from various banks, initiating both the training and testing phases. Specifically, two SVM models were trained: one utilizing a linear kernel, and the other employing a non-linear kernel. The objective was to assess their effectiveness in distinguishing between solvent and insolvent banks. Moreover, a neural network model was developed and subjected to a com-parative analysis alongside the aforementioned SVM models, all with the aim of identifying the optimal method for bankruptcy prediction. The training dataset comprised data from the ten quarters preceding bank failures post-2013, as well as the eight quarters leading up to bank failures in 2010, during 2008 financial crisis. The SVM models were implemented us-ing Scikit-Learn, while the neural network model was trained using PyTorch. Through this comprehensive approach, the paper contributes to the advancement of predictive methodolo-gies for identifying potential financial institution bankruptcies.

In Australia, the issue of income and wealth inequality has steadily intensified over the past few decades, posing a concerning trend in this developed nation. This rising economic disparity not only impacts the financial well-being of citizens but also affects the national economy and political landscape. John Passant, who is committed to investigating ways to alleviate inequality in Australia, has put forth a tax reform proposal encompassing two distinct approaches--Buffet Rule for both individuals and companies and wealth taxes. However, it is essential to note that two other papers present contrasting viewpoints, casting doubt on the effectiveness of Passant's proposals. These two papers raise specific points of contention, prompting a nuanced and skeptical examination of Passant's suggestions, considering the diverse perspectives and empirical evidence presented. In evaluate, mitigating the income and wealth inequality in Australia necessitates a comprehensive and well-informed approach that takes into account the broader economic and social context.