金融周期比率与GDP中期预测:来自美国的证据

IF 6.9 2区 经济学 Q1 ECONOMICS
Graziano Moramarco
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引用次数: 0

摘要

利用 1960-2017 年间的大型季度宏观经济数据集,我们记录了房地产市场和企业总资产负债表中的特定财务比率预测美国中期国内生产总值的能力。根据各种排名,周期性调整后的房价租金比和非金融非公司企业部门的负债收入比在样本内和样本外都能最好地预测一至五年内的国内生产总值增长。包含这些指标的小型预测模型优于流行的高维模型和预测组合。在经济衰退和经济扩张期间,这两个比率的预测能力都很强,而且随着时间的推移趋于稳定,并与成熟的宏观金融理论相一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Financial-cycle ratios and medium-term predictions of GDP: Evidence from the United States

Using a large quarterly macroeconomic dataset for the period 1960–2017, we document the ability of specific financial ratios from the housing market and firms’ aggregate balance sheets to predict GDP over medium-term horizons in the United States. A cyclically adjusted house price-to-rent ratio and the liabilities-to-income ratio of the non-financial non-corporate business sector provide the best in-sample and out-of-sample predictions of GDP growth over horizons of one to five years, based on a wide variety of rankings. Small forecasting models that include these indicators outperform popular high-dimensional models and forecast combinations. The predictive power of the two ratios appears strong during both recessions and expansions, stable over time, and consistent with well-established macro-finance theory.

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来源期刊
CiteScore
17.10
自引率
11.40%
发文量
189
审稿时长
77 days
期刊介绍: The International Journal of Forecasting is a leading journal in its field that publishes high quality refereed papers. It aims to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers. The journal places strong emphasis on empirical studies, evaluation activities, implementation research, and improving the practice of forecasting. It welcomes various points of view and encourages debate to find solutions to field-related problems. The journal is the official publication of the International Institute of Forecasters (IIF) and is indexed in Sociological Abstracts, Journal of Economic Literature, Statistical Theory and Method Abstracts, INSPEC, Current Contents, UMI Data Courier, RePEc, Academic Journal Guide, CIS, IAOR, and Social Sciences Citation Index.
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