Maryam Farboodi

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Maryam Farboodi

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Maryam Farboodi is an Associate Professor of Finance at the MIT Sloan School of Management. She is an applied theorist whose research focuses on the economics of big data with applications to finance and macroeconomics. She has developed methodologies to estimate the value of data. In addition, Farboodi studies intermediation and network formation among financial institutions, and the spillovers to the real economy. She is also interested in how information frictions shape local and global economic cycles through the credit market structure. She has most recently worked on understanding the Covid-19 pandemic and associated policies.

Farboodi received her PhD in financial economics joint between the Department of Economics and the Booth School of Business at the University of Chicago in 2014. She is the recipient of the Elaine Bennett Research prize in 2024 and Sloan Research Fellowship from the Alfred P. Sloan Foundation 2024-2026. She is a Research Fellow at the National Bureau of Economic Research and at the Center for Economic and Policy Research.

Honors

Farboodi receives 2024 Elaine Bennett Research Prize

November 26, 2024

Farboodi receives 2024 Sloan Research Fellowship from the Alfred P. Sloan Foundation

February 27, 2024

Farboodi wins award from Swiss Finance Institute

November 10, 2022

Farboodi wins 2019 Young Researcher Award

July 17, 2019

Publications

"Draft Proposal for a Unified Carbon Market."

Rohini Pande, Robin Burgess, Maryam Farboodi, Agnes Norris Keiller, and Lucy Page. In 30th Conference of the Parties to the United Nations Framework Convention on Climate Change, November 2025.

"Natural Centralization in Decentralized Finance."

Azar, Pablo, Adrian Casillas, and Maryam Farboodi, MIT Sloan Working Paper 7157-24. Cambridge, MA: MIT Sloan School of Management, October 2025. The Economist. Written Testimony Before House Committee. Liberty Street Economics Blog. Read: Preprint.

"Bank Opacity and Deposit Rates."

Babus, Ana, Maryam Farboodi, and Gabriela Stockler, Working Paper. September 2025.

"Good Data and Bad Data: The Welfare Effects of Price Discrimination."

Farboodi, Maryam, Nima Haghpanah, and Ali Shourideh, Working Paper. September 2025. Latest Version.

"Systemic Risk by Design? Causal Evidence on Endogenous Blockchain Security."

Azar, Pablo D. and Maryam Farboodi, Working Paper. September 2025.

"Do Markets Believe in Transformative AI?"

Andrews, Isaiah and Maryam Farboodi, Working Paper. September 2025.

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Ideas Made to Matter

What the bond market has to say about generative AI

How do generative AI model releases impact consumption expectations? New MIT Sloan research shows large, unexpected reactions in the bond market.

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Press

What key factors impact investors' willingness to pay for data?

MIT Sloan researchers have developed a statistical method that investors and financial firms can use to value their existing data and/or a potential data stream that they are considering acquiring.

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Media Highlights

Press MarketWatch

These stock-market experts don't love AI. Here's what they do recommend.

Why would investment newsletter editors be less than enthusiastic about Nvidia in particular and the information-technology sector in general? No doubt there are many reasons, but one major clue comes from a new study by associate professor Maryam Farboodi and co-author. They found that long-term Treasury, TIPS and corporate bond yields fell in the wake of major AI-model releases releases, on average, and remained lower for weeks.

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Press The Economist

What if AI made the world's economic growth explode?

Most economists agree that AI has the potential to raise productivity and thus boost GDP growth. The burning question is, how much? Some predict only a marginal change. Institute Professor Daron Acemoglu estimated that AI will lift global GDP by no more than 1-2% in total over a decade. A draft paper by associate professor Maryam Farboodi and co-author found that bond yields have on average declined around the release of new AI models by the likes of OpenAI and DeepSeek, rather than rising.

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Press Federal Reserve Bank of New York

The DeFi intermediation chain

"Decentralized Finance, or DeFi, is a rapidly growing ecosystem of financial applications built on blockchain technology."

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