Real Activity Forecasts Using Loan Portfolio Information

• 成果类型: Article
• 署名作者: Khan, Urooj; Ozel, N. Bucra
• 署名单位: Columbia University; University of Texas System; University of Texas Dallas
• 刊物名称: JOURNAL OF ACCOUNTING RESEARCH
• ISSN/ISSBN: 0021-8456
• DOI: 10.1111/1475-679X.12110
• 发表日期: 2016
• 页码: 895-937
• 关键词: business-cycle; ACCOUNTING EARNINGS; economic-conditions; Aggregate earnings; UNITED-STATES; banks; returns; taxes; availability; DISCLOSURES

摘要

To extend and monitor loans, banks collect detailed and proprietary information about the financial prospects of their customers, many of whom are local businesses and households. Therefore, banks' loan portfolios contain potentially useful information about local economic conditions. We investigate the association between information in loan portfolios and local economic conditions. Using a sample of U.S. commercial banks from 1990:Q1 to 2013:Q4, we document that information in loan portfolios aggregated to the state level is associated with current and future changes in statewide economic conditions. Furthermore, the provision for loan and lease losses contains information incremental to leading indicators of state-level economic activity and recessions. Loan portfolio information also helps to improve predictions of economic conditions at more granular levels, such as at the commuting zone level. We discuss the relevance of these findings for economic analysis and forecasting, and the relation of our study to prior work on the informativeness of accounting information about the macroeconomy.