What you'll learn
Module 1: Robo-Advising
Module 2: Crowdfunding
Module 3: Marketplace Lending
Module 4: Case Studies
Description
In this course, you’ll learn the foundational theories behind robo-advising, crowdfunding, and marketplace lending, and how to apply these theories to optimize your investments. Professor David Musto of the Wharton School has designed this course to help you gain a practical understanding of the theoretical frameworks of Modern Portfolio Theory and Financial Technology. You’ll learn how to apply the ideas behind robo-advising and crowdfunding to better assess and leverage a more optimized portfolio while managing risks.
You’ll also explore the current consumer credit landscape and learn how to utilize financial technologies in your business. You’ll analyze real-life examples by studying the cases of Square and CommonBond. By the end of this course, you’ll have honed your skills in calculating risks and returns in robo-advising and crowdfunding, and be able to assess the value of marketplace lending to achieve better returns on your investments. No prerequisites are required for this course, although “Fintech: Foundations, Payments, and Regulations” and “Cryptocurrency and Blockchain: An Introduction to Digital Currencies” from Wharton’s Fintech Specialization are recommended.
Requirements
Access to a computer or mobile device with an internet connection.
Motivation to learn!
There are no special materials or prerequisite knowledge required for this course.
Who this course is for
Students who are new to this field
Students willing to put in a couple hours to learn about Lending, Crowdfunding, and Modern Investing
Advanced students wanting to add another skill to their portfolio
Content Creator
David Musto – Ronald O. Perelman Professor in Finance – Finance
This course includes
Participation Confirmation/Certificate
Option for learning at your own pace
Videos and reading material about the course
Practice tests
Assessed tasks with feedback from other course participants
Evaluated tests with feedback
Evaluated programming tasks