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Author:Shaton, Maya 

Working Paper
The U.S. Syndicated Loan Market: Matching Data

We introduce a new software package for determining linkages between datasets without common identifiers. We apply these methods to three datasets commonly used in academic research on syndicated lending: Refinitiv LPC DealScan, the Shared National Credit Database, and S&P Global Market Intelligence Compustat. We benchmark the results of our match using results from the literature and previously matched files that are publicly available. We find that the company level matching is enhanced by careful cleaning of the data and considering hierarchical relationships. For loan level matching, a ...
Research Working Paper , Paper RWP 18-9

Working Paper
The Display of Information and Household Investment Behavior

I exploit a natural experiment to show that household investment decisions depend on the manner in which information is displayed. Israeli retirement funds were prohibited from displaying returns for periods shorter than twelve months. In this setting, the information displayed was altered but the accessible information remained the same. Using differences-in-differences design, I find that this change caused reduction in fund flow sensitivity to past returns, decline in trade volume, and increased asset allocation toward riskier funds. These results are consistent with models of limited ...
Finance and Economics Discussion Series , Paper 2017-043

Working Paper
Borrowers in Search of Feedback : Evidence from Consumer Credit Markets

We study recent technological innovation in credit markets and document their role in providing information to households. We show that households value the ability to learn detailed information about their cost of credit. This function is most valued by less creditworthy households with less experience in credit markets. To measure the demand for information provision we exploit a quasi-natural experiment in an online consumer credit market. A large lending platform unexpectedly switched from pricing loans through an auction mechanism to centralized pricing determined by broad credit grade. ...
Finance and Economics Discussion Series , Paper 2017-049

Working Paper
The U.S. Syndicated Loan Market : Matching Data

We introduce a new software package for determining linkages between datasets without common identifiers. We apply these methods to three datasets commonly used in academic research on syndicated lending: Refinitiv LPC DealScan, the Shared National Credit Database, and S&P Global Market Intelligence Compustat. We benchmark the results of our match using results from the literature and previously matched files that are publicly available. We find that the company level matching is enhanced by careful cleaning of the data and considering hierarchical relationships. For loan level matching, a ...
Finance and Economics Discussion Series , Paper 2018-085

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