关键信息
关于内容
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. The course will again have time included for assimilation and two final exams. This course is the second in a sequence of four courses that comprise a Specialization on Valuation & Investing.
课程大纲
- Week 1 - Overview of Specialization & Course
This module contains detailed videos and syllabi of both the Specialization and this course. This specialization has been designed to enable you to learn and apply the powerful tools of modern finance to both personal and professional situations. The courses w... - Week 1 - Module 1
Risk and return is best understood in a real context; we will therefore spend the first module on understanding the most common vehicle of investment: bonds. - Week 2 - Module 2
This second module will be spent understanding the features and valuation of stocks. - Week 3 - Module 3
In this module, we will develop a theory of risk based on the intuitive concept of diversification. Since knowledge of Statistics is key to understanding risk, we will introduce some important concepts of applications. - Week 4 - Module 4
In this module, we will introduce one of the most widely known models called CAPM (Capital Asset Pricing Model), which provides a simple and powerful relation between risk and return. - Week 5 - Module 5
This week will be spent on a short wrap video of the course and time for assimilation and review by learners to be prepared to take the final exams. In the past, learners have really valued this time and hence it is built into this on-demand structure as well. - Week 6 - Module 6
This is finals week. Please note that there are two exams and you need to attempt both.
教师
Gautam Kaul
Professor of Finance & Fred M. Taylor Professor of Business Administration
Ross School of Business
内容设计师
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
