Financial Engineering and Risk Management Part II - Columbia University



Wichtige informationen

  • Kurs
  • Online
  • Wann:

The following course, offered by Coursera, will help you improve your skills and achieve your professional goals. During the program you will study different subjects which are deemed to be useful for those who want to enhance their professional career. Sign up for more information!

Wichtige informationen

Wo und wann

Beginn Lage
06 November 2016

Was lernen Sie in diesem Kurs?

Risk Management
IT risk
Financial Training
IT Management


Financial Engineering is a multidisciplinary field involving finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part II will be on the use of simple stochastic models to (i) solve portfolio optimization problems (ii) price derivative securities in various asset classes including equities and credit and (iii) consider some advanced applications of financial engineering including algorithmic trading and the pricing of real options. We will also consider the role that financial engineering played during the financial crisis. We hope that students who complete the course and the prerequisite course (FE & RM Part I) will have a good understanding of the "rocket science" behind financial engineering. But perhaps more importantly, we hope they will also understand the limitations of this theory in practice and why financial models should always be treated with a healthy degree of skepticism. Online learning plays a key role in lifelong learning. In fact, a recent report by the United States Department of Education found that "the courses that include online education (either completely virtual or blended learning) produce, on average, much stronger learning outcomes for students courses They are conducted exclusively in person. Based on an approach developed by educational psychologist Benjamin Bloom, the mastery learning helps students to fully understand a subject before moving on to a more advanced. In Coursera, usually we give an answer immediately to the concepts that the student does not understand feedback. In many cases, we offer random versions of assessments for the student to return to school and retrying until mastered the concept.