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KATRIN TINN

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ASSISTANT PROFESSOR OF FINANCE

McGill University, Desautels Faculty of Management

Katrin Tinn's research focuses on theoretical modelling, technological innovation, financial economics, information economics. Her most recent work is on FinTech: the role of crowdfunding and distributed ledger technologies (blockchain) in raising external capital and facilitating learning about future demand, and on central bank digital currency design. Her research has been published in prominent journals, such as the American Economic Review, Management Science and Journal of Economic Theory. She has also written book chapters for editions focused on alternative finance, blockchain, and digital currencies (Palgrave-MacMillan, World Scientific Publishers, and VoxEU’s e-book series).

 

Prior joining McGill in 2019, she worked as an Assistant Professor of Finance at Imperial College Business School, London, and has been a member of the Centre for Global Finance and Technology, and the Imperial College multidisciplinary Fintech Network. She is a member of the Centre for Economic Policy Research (CEPR). In addition to academic positions, she has also worked in commercial banking and asset management, at the European Central Bank, the International Monetary Fund, and the European Bank for Reconstruction and Development. Katrin holds a MSc in Economics from University College London and a PhD in Economics from London School of Economics.

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RESEARCH

Research interests: financial economics, information economics, applied game theory and applied probability theory.
Specific applications: technological innovation, economic growth, Fintech, quantitative trading, market microstructure and political economy.

TINN K, 2010, TECHNOLOGY ADOPTION WITH EXIT IN IMPERFECTLY INFORMED EQUITY MARKETS, AMERICAN ECONOMIC REVIEW, VOL:100, ISSN:0002-8282, PAGES:925-957

CHEMLA G, TINN K, 2020,"LEARNING THROUGH CROWDFUNDING." MANAGEMENT SCIENCE 66, NO. 5, PAGES:1783-1801

ROSSI, S. AND TINN, K., 2021. RATIONAL QUANTITATIVE TRADING IN EFFICIENT MARKETS. JOURNAL OF ECONOMIC THEORY, 191, P.105127.

TINN K. 2024. “THEORY MODEL OF DIGITAL CURRENCY WITH ASYMMETRIC PRIVACY”, MINOR REVISION, MANAGEMENT SCIENCE

KARTIK N., SQUINTANI F., TINN K. 2024 "INFORMATION REVELATIONS AND PANDERING IN ELECTIONS”, REVISE AND RESUBMIT, THEORETICAL ECONOMICS

TINN K. 2018, “SMART CONTRACTS AND EXTERNAL FINANCING”, SELECTED CONFERENCES: WFA2018, EFA2018, OXFIT2018, CEPR 2023

TINN K, DUBACH C "CENTRAL BANK DIGITAL CURRENCY WITH ASYMMETRIC PRIVACY", WINNER OF BANK OF CANADA MODEL X CHALLENGE, 2021

TINN K. 2021. "EVERYONE IS A STOCK TRADER NOW: RETAIL INVESTORS AND COVID 16", COVID ECONOMICS 83(2), pp.88-108

SEE FURTHER IN REASEARCH PAGE

“RAISING FUNDS WITH SMART CONTRACTS: NEW OPPORTUNITIES AND CHALLENGES” (CHAPTER 5), IN INFORMATION TO EFFICIENT DECISION MAKING: BIG DATA, BLOCKCHAIN AND RELEVANCE, EDITED BY KASHI R. BALACHANDRAN, WORLD SCIENTIFIC PUBLISHERS 2020

“HOW WISE ARE CROWDS ON CROWDFUNDING PLATFORMS” WITH GILLES CHEMLA, IN HANDBOOK ON ALTERNATIVE FINANCE, PALGRAVE-MACMILLAN (2021)

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COURSES

MBA FINE 691 ADVANCED TOPICS IN FINANCE 2 AND MMF 674 FINTECH

BCOM FINE 477 FINTECH FOR BUSINESS AND FINANCE

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Student in Library

FINE 691 (Winter) 2020 - present;

FINE 674 (Fall) 2022 - present

FINE 477 (Winter) 2020 - present

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