School of Business and Management Department of Finance 204 Risk-Management Duel: Financial vs Operational Risk Management Supervisor: MACKAY Peter / FINA Student: AMADOR JAIME Jose Luis / CPGBM HE Jinghui / ECOF ZHAI Menghe / QFIN WANG Matthew Sebastian / ACCT Course: UROP1000, Summer UROP1000, Summer UROP1000, Summer UROP1100, Summer The operations of companies require a mixture of operational risk management and financial risk management. In general, companies look for expansion opportunities or downscaling options based on their financial profitability. This project seeks to analyze the financial and operational management data of mining companies and investigate the interactions of operational risk management and financial risk management. This data includes data over the past 20 years on the characteristics of mines such as production costs, production levels, proven and probable reserves. This data will be analyzed to test whether a company’s portfolio of mines (assets) determines how it uses tools to manage financial risk. Currently, this project is at its early exploratory stages and the scope of this report will describe how data on the mines reserves and production levels were collected. Analyzing CEO Compensation Contracts Supervisor: ZALDOKAS Alminas / FINA Student: YAU Hoi Ching Flora / FINA Course: UROP1100, Fall The project focuses on discussing how the design of CEO compensation incentivizes CEOs to participate in market collusion. In particular, we look into the closure of four regional antitrust offices of the United States Department of Justice Antitrust Division in 2013 and its consequences that decreased the antitrust enforcement. In other words, shareholders and management are motivated to collude with rival firms. We found that the executives' pay is more positively correlated with close competitors. My assigned tasks are to identify the CEO compensation metrics in terms of the company's profitability and also research the case of the closure of four regional offices of DoJ from social media and antitrust community aspects. Products, Supply Chains, and Finance Supervisor: ZALDOKAS Alminas / FINA Student: LI Mengyi / QFIN TU Bingying / DSCT WINATA Timothy / FINA WONG Chun Ho / QFIN Course: UROP3100, Fall UROP1100, Fall UROP1100, Fall UROP1100, Fall The ultimate goal of this research is to find out relationships between New Product Announcement (NPA) and the abnormal return for given stocks listed on NYSE and NASDAQ. In addition to this, we will continue discussing the relationships of the NPA and their effects on the economy. The first stage of this research is to build up the database and utilize big data technologies to clean the database and identify keywords related to the company and their new products. After cleaning up the database, we would include more information to eliminate market-in-build expectations about the product. Finally, we would analyze the stock return based on the database as well as regression models.
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