Ajit Desai

Bank of Canada

234 Wellington Street

Ontario, Ottawa K1A 0G9

Canada

SCHOLARLY PAPERS

5

DOWNLOADS

1,326

SSRN CITATIONS

2

CROSSREF CITATIONS

0

Ideas:
“  Areas of Interest: Applied Machine Learning, Reinforcement Learning, Payments Systems, Macroeconomics Predictions, Time-Series Forecasting, Anomaly Detection  ”

Scholarly Papers (5)

1.

Macroeconomic Predictions using Payments Data and Machine Learning

Number of pages: 46 Posted: 20 Aug 2021 Last Revised: 09 May 2022
James T. E. Chapman and Ajit Desai
Government of Canada - Bank of Canada and Bank of Canada
Downloads 544 (94,524)
Citation 5

Abstract:

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Nowcasting, Payments data, Machine learning, Interpretability, Overfitting

2.

Estimating Policy Functions in Payment Systems using Reinforcement Learning

Number of pages: 40 Posted: 12 Feb 2021
Google Inc., Bank of Canada, Government of Canada - Bank of Canada, University of California, Santa Barbara (UCSB) and Bank of Canada
Downloads 434 (124,062)
Citation 1

Abstract:

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Artificial intelligence, Reinforcement learning, Payments systems

3.

Machine Learning for Economics Research: When What and How?

Number of pages: 15 Posted: 14 Apr 2023 Last Revised: 21 Apr 2023
Ajit Desai
Bank of Canada
Downloads 320 (174,710)

Abstract:

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Economics, Econometrics, Machine learning

4.

Estimating Policy Functions in Payments Systems Using Reinforcement Learning

Number of pages: 34 Posted: 22 Sep 2022
Google Inc., Bank of Canada, affiliation not provided to SSRN, Independent and affiliation not provided to SSRN
Downloads 27 (875,105)

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Artificial intelligence, Reinforcement learning, High-value payments systems, Strategic games

5.

Using Payments Data to Nowcast Macroeconomic Variables During the Onset of Covid-19

Journal of Financial Market Infrastructures, Vol. 9, No. 1
Number of pages: 30 Posted: 05 May 2021
James T. E. Chapman and Ajit Desai
Government of Canada - Bank of Canada and Bank of Canada
Downloads 1 (1,111,108)
Citation 1
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Abstract:

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payments data; economic crisis; macroeconomic nowcasting; machine learning.