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- 2022
- Working Paper
Gone with the Big Data: Institutional Lender Demand for Private Information
By: Jung Koo Kang
I explore whether the value of borrowers’ private information is an important determinant of institutional lender participation in syndicated loans. Institutional lenders have been shown to exploit their access to borrowers’ private information by trading on it in...
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Kang, Jung Koo. "Gone with the Big Data: Institutional Lender Demand for Private Information." Harvard Business School Working Paper, No. 22-053, January 2022. (Revised February 2022.)
- May 2021
- Article
The Firm Next Door: Using Satellite Images to Study Local Information Advantage
By: Jung Koo Kang, Lorien Stice-Lawrence and Forester Wong
We use novel satellite data that track the number of cars in the parking lots of 92,668 stores for 71 publicly listed U.S. retailers to study the local information advantage of institutional investors. We establish car counts as a timely measure of store-level...
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Keywords:
Satellite Images;
Store-level Performance;
Institutional Investors;
Local Advantage;
Overweighting;
Processing Costs;
Alternative Data;
Big Data;
Emerging Technologies;
Information;
Quality;
Institutional Investing;
Decision Making;
Behavioral Finance;
Analytics and Data Science
Kang, Jung Koo, Lorien Stice-Lawrence, and Forester Wong. "The Firm Next Door: Using Satellite Images to Study Local Information Advantage." Journal of Accounting Research 59, no. 2 (May 2021): 713–750.