Qin Lei




In September of 2013, Qin Lei joined the faculty at the University of Michigan Ross School of Business, where he had received his Ph.D. in finance seven years earlier. Qin also holds a M.A. in Economics from Georgetown University and a B.A. in International Economics from Renmin University of China. Qin was previously a Clinical Associate Professor in finance at Southern Methodist University, where he received the Provost Teaching Technology Grant in 2008, Delta Sigma Pi Distinguished Professor Award 2009-2011, and MBA Outstanding Teaching Award in 2012. He also worked at the International Monetary Fund and contributed to the efforts of identifying early warning signs for financial system instability. His current research interests are in the areas of asset pricing, market microstructure and investments.

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Sep 18th 2017

This course is a rigorous introduction to alternative methods of valuation and will enable the learner to conduct analysis of most projects and companies. This course will also serve useful to anyone interested in, or required to, critically evaluating project and company analyses conducted by experts.

Average: 5.5 (13 votes)
Sep 11th 2017

This second course in the specialization will last six weeks and will focus on the second main building block of financial analysis and valuation: risk. The notion of risk and statistics are intimately related and we will spend a fair amount of time on the development of some statistical concepts and tools, namely distribution theory and regression analysis. This time will be well spent because these concepts and tools are also commonly used in many applications in the real world. The foundational idea of diversification will then be used to develop a framework for evaluating risk and establishing a relationship between risk and return. Apart from developing a keen appreciation of risk for making thoughtful decisions in an institutional context, this course will contain a lot of material and examples that will enable the learner to make smart personal investing decisions.

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