Pietro Lazzaretto

Job Market Paper:  "Centralized Allocation Rules and Competition for Capital" (Abstract)

Recipient of the Swiss Finance Institute Best Paper Doctoral Award 2026.

Research overview:

My research is at the intersection of empirical asset pricing, asset management, and machine learning. I study how investors form expectations, process information, and allocate capital, and how these mechanisms affect financial markets. A central theme of my work is the use of large-scale financial and textual data to measure beliefs, expectations, and information flows that are otherwise difficult to observe. 

In my work, I examine topics including model portfolios and fund flows, monetary policy expectations, sustainable investing, and the pricing of tail risks. More broadly, I combine empirical methods with machine learning and natural language processing to better understand how information is incorporated into asset prices and investment decisions.

Contacts:

Institute of Finance, Università della Svizzera italiana, West Campus, Blue Building, Via Buffi 6, 6900 Lugano, Switzerland

E-mail: pietro.lazzaretto@usi.ch

LinkedIn | SSRN | Swiss National Science Foundation

Swiss Finance Institute personal webpage | USI Lugano personal webpage