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.

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 is a part of business that requires considering countless variables and making accurate decisions. With the development of computer science and algorithms, the advancement of data analysis methods can be applied in this field to bring great convenience. Despite a large number of data analysis models being constructed, there is a lack of review articles that need to summarize algorithms created by previous generations. This paper starts with a lookback to the basic descriptive and predictive data analysis methods following with the introduction and further explanation of customer segmentation and personalization. Combined with the basic marketing methods, we studied the application of data analytics to business industry. Moreover, this paper presents case study that highlight the application of data analysis in different areas: online retail, e-commerce and transportation. Finally we use each case to find utilization of data analytics to derive meaningful insights and facilitation decision-making.

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.