Skip to main content
U.S. flag
An official website of the United States government
Dot gov
The .gov means it’s official. 
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.
Https
The site is secure. 
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
Center for Financial Research

2019 Working Papers

Working Papers Archive:
Search the Working Papers:

Working Papers presented as PDF files on this page reference Portable Document Format (PDF) files. Adobe Acrobat, a reader available for free on the Internet, is required to display or print PDF files. (PDF Help)

Working Papers – 2019

What Happens in Vegas Doesn’t Always Stay in Vegas: The Dynamics of House Prices and Foreclosure Rates Across Space and Time

FDIC Center for Financial Research Working Paper No. 2019-02
Hua Kiefer, Leonard C. Kiefer, and Jie (Diana) Wei

Download

This Version: November 2019

Abstract

This paper identifies instruments for house prices and foreclosure rates and estimates a Dynamic Spatial Simultaneous Equation System (DSSES) to investigate the dynamics of them across space and time. Shocks to the foreclosure rate in one state not only affect house prices in that state but also the foreclosure rates and house prices in nearby states. When it comes to the housing market, what happens in Vegas doesn’t always stay in Vegas. A one standard deviation foreclosure shock leads to a 2 percent decline in real house prices over the long run.

JEL Codes: C33, C36, R31 
Keywords: Simultaneous Equation, Dynamic Panel, Spatial Spillover, House Price, Foreclosure

Breaking the Word Bank: Effects of Verbal Uncertainty on Bank Behavior

FDIC Center for Financial Research Working Paper No. 2019-01
Paul Soto

Download

This Version: February 2019

Abstract

Banks differ from non-financial firms as banks must communicate to both regulators and shareholders. Also, unlike non-financial firms, banks possess opaque and complex balance sheets and are the main providers of credit to the real economy. In this paper, I propose a new index to detect the idiosyncratic uncertainty banks face at the bank-quarter level by applying natural language processing techniques to earnings conference call transcripts. The index reveals which banks at a given quarter signal more uncertainty about their balance sheets. Higher uncertainty is associated with lower lending and higher trading the next quarter, suggesting active management of uncertainty. The active management of uncertainty is more pronounced during periods of high aggregate volatility and for banks with more skin in the game. Using loan level data and firm fixed effects, I control for demand-side factors and find that higher bank level uncertainty is associated with lower loan issuances the following quarter.

JEL Codes: G21, G3, E5, D8 
Keywords: Uncertainty, Banking, Credit, Natural Language Processing, Machine Learning


The Center for Financial Research (CFR) Working Paper Series allows CFR staff and their coauthors to circulate preliminary research findings to stimulate discussion and critical comment. Views and opinions expressed in CFR Working Papers reflect those of the authors and do not necessarily reflect those of the FDIC or the United States. Comments and suggestions are welcome and should be directed to the authors. References should cite this research as a “FDIC CFR Working Paper” and should note that findings and conclusions in working papers may be preliminary and subject to revision.

Last Updated: August 4, 2024