Alberto G. Rossi

Hachigian Family Professor of Finance

Director of the AI, Analytics, and Future of Work Initiative 

Visiting Fellow, The Brookings Institution


Research Interests: 

- FinTech

- Household and Personal Finance

- Machine Learning 

Contact Information:

McDonough School of Business, Office 427

Georgetown University  

37th and O Street NW 

Washington, DC, 20057

Email: agr60@georgetown.edu


Curriculum Vitae

Published and Accepted Papers


1. "The Diversification and Welfare Effects of Robo-advising,'' with Stephen Utkus

(Previously titled "Who Benefits from Robo-advising? Evidence from Machine Learning")

Journal of Financial Economics, Accepted subject to minor revisions 


2. "How Costly are Cultural Biases? Evidence from FinTech" with Francesco D'Acunto and Pulak Ghosh 

Journal of Financial Economics, Conditionally Accepted 


3. "Goal Setting and Saving in the FinTech Era,'' with Antonio Gargano

Journal of Finance, Forthcoming 


4. "Crowdsourcing Peer Information to Change Spending Behavior,'' with Francesco D'Acunto and Michael Weber

Journal of Financial Economics, Forthcoming 

5. "Regressive Mortgage Credit Redistribution in the Post-crisis Era," with Francesco D'Acunto  

Review of Financial Studies, 2022, 35 (1), 482-525 


6. "The Promises and Pitfalls of Robo-advising," with Francesco D'Acunto and Nagpurnanand Prabhala

Review of Financial Studies, 2019, 32 (5), 1982-2020


7. "Understanding the Sources of Risk Underlying the Cross-Section of Commodity Returns," with Gurdip Bakshi and Xiaohui Gao

Management Science, 2019, 65 (2), 619-641, Online Appendix    

8. "Does it Pay to Pay Attention?" with Antonio Gargano

Review of Financial Studies, 2018, 31 (12), 4595-4649. Lead article (Editor's choice)

9. "Network Centrality and Delegated Investment Performance,” with David Blake, Allan Timmermann, Ian Tonks and Russ Wermers

Journal of Financial Economics (Lead Author), 2018, 128, 183-206


10. "The Freedom of Information Act and the Race Towards Information Acquisition," with Antonio Gargano and Russ Wermers

Review of Financial Studies, 2017, 30 (6), 2179-2228, Online Appendix 

11. "A Spanning Series Approach to Options," with Steve Heston

Review of Asset Pricing Studies, 2017, 7 (1), 2-42. Lead article (Editor's choice)


12. "Modeling Covariance Risk in Merton's ICAPM," with Allan Timmermann

Review of Financial Studies, 2015, 28 (5), 1428-1461 

(A previous version of the paper was circulated under the title "What is the Shape of the Risk-Return Relation?")


13. "Decentralization in Pension Fund Management," with David Blake, Allan Timmermann, Ian Tonks and Russ Wermers

Journal of Investment Management, 2015, 13 (3), 35-56


14. "Decentralized Investment Management: Evidence from the Pension Fund Industry," with David Blake, Allan Timmermann, Ian Tonks and Russ Wermers 

Journal of Finance, 2013, 68, 1133-1178 Online Appendix


Invited Articles and Non-Refereed Publications  


1. "Taming Behavioral Biases in Consumer Decision-Making: The Role of Robo-Advisors" with Francesco D'Acunto 

"Oxford Research Encyclopedia of Economics and Finance," Forthcoming 


2. "Robo-Advice: Transforming Households into Rational Economic Agents," with Francesco D'Acunto 

"Annual Review of Financial Economics," Forthcoming 

Editors: Antoinette Schoar


3. "IT Meets Finance: Financial Decision Making in the Digital Era," with Francesco D'Acunto 

"Handbook of Financial Decision Making," Edward Edgar Publishing Ltd, Forthcoming 

Editors: G. Hilary and D. Mclean


4. "New Frontiers of Robo-Advising: Consumption, Saving, Debt Management, and Taxes," with Francesco D'Acunto 

"Machine Learning in Financial Markets: A Guide to Contemporary Practice," Cambridge University Press, 2022 

Editors: Agostino Capponi and Charles-Albert Lehalle


5. "Robo-Advising," with Francesco D'Acunto 

Palgrave Macmillan Handbook of Technological Finance, 2021

Editors: R. Rau, R. Wardrop, L. Zingales



Working Papers 


1. "Selecting Mutual Funds from the Stocks they Hold: a Machine Learning Approach,'' with Bin Li

(R&R at the Review of Financial Studies) 


2. "Real-Time Machine Learning in the Cross-Section of Stock Returns,'' with Bin Li, Xueming (Sterling) Yan and Lingling Zheng

(R&R at the Journal of Financial Economics) 


3. "What's in Investors' Information Sets?" with Hagit Levy, Ron Shalev, and Emanuel Zur


4. "Algorithm Aversion: Theory and Evidence from Robo-advice,'' with Fiona Greig, Tarun Ramadorai, Stephen Utkus, and Ansgar Walther


5. "Improving Household Debt Management with Robo-advice,'' with Ida Chak, Karen Croxson, Francesco D'Acunto, Jonathan Reuter, and Jonathan Shaw


6. "An Inside Look into Cryptocurrency Exchanges,'' with Qing Chan, Wenzhi Ding and Chen Lin

7. "The Needs and Wants in Financial Advice: Human versus Robo-Advising,'' with Stephen Utkus


8. "Political Partisanship and the Transmission of Fiscal Policy" with Francesco D'Acunto and Pulak Ghosh 


9. "Predicting Stock Market Returns with Machine Learning''


10. "Rise of the 'Quants' in Financial Services: Regulation and Crowding out of Routine Jobs,'' with Christos Makridis


11. "Social Networks and Cryptocurrencies,'' with Kunpeng Zhang


12. "Do Investors Want Portfolio Churning?,'' with Stephen Utkus


13. "Understanding Time-Varying Attention and Trading'' 

   

14. "A Utility-Based Model Combination for Portfolio Choice,” with Georgios Skoulakis