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Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, Bocconi University, 2016
I have taught two sections of this course for four years, including the 2016/17 academic year. The course provides a basic introduction to financial markets and financial economics.
Graduate course (PhD), Cornell University, 2018
This is a short “workshop-style” compact course in banking for PhD students in applied macroeconomics and finance. The course has two fundamental objectives:
- to give an introduction to the banking literature with particular emphasis on recent developments
- to teach young researchers how to develop their own applied theories.
Graduate course (Data Science MSc), Bocconi University, 2019
This is a hands-on introduction to FinTech and Blockchains for future data scientists. The course has the following objectives:
- teach blockchain and its technological foundations in a hands-on, code-driven approach
- explore the disruptive potential of digital transformation for financial intermediation
- discuss machine learning strategies that future data scientists should know for FinTech lending and insurance underwriting.
- enable students to run their first project of their own and explore creatively.
- develop the necessary coding skills on the side.
Free-riding frictions due to observable loan offers can drive banks to lend beyond the socially desirable extent and screen too little. More competition between lenders exacerbates the problem.