利用贷款组合信息预测实际经济活动

Real Activity Forecasts Using Loan Portfolio Information

Journal of Accounting Research · 2016
被引 38
人大 AFT50UTD24ABS 4*

中文导读

研究了银行贷款组合中的信息如何用于预测州级及更细粒度区域的经济活动和衰退,发现贷款损失准备金包含领先指标信息,对经济分析和预测有参考价值。

Abstract

ABSTRACT 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.

贷款组合信息经济活动预测前瞻性指标会计信息宏观相关性