Forecasting Bank Capital Ratios Using the Prophet Model by Facebook

39 Pages Posted: 27 Jun 2022 Last revised: 11 Aug 2022

See all articles by James W. Kolari

James W. Kolari

Texas A&M University - Department of Finance

Ivan Sanz

University of Valladolid - Faculty of Economic Science and Business Studies

Date Written: June 20, 2022

Abstract

This study investigates the efficacy of the Prophet model by Facebook with respect to forecasting bank capital ratios. Bank financial ratios and macroeconomic information are combined to forecast total risk-adjusted capital ratios for 19 large U.S. banks. Using a sample period from March 2005 to December 2020, in-sample results show that the model accurately estimates bank capital ratios over time. As validation, out-of-sample tests indicate that forecasting errors are smaller for Prophet models compared to benchmark ARIMAX models. Based on these and other results, we conclude that the Prophet model does a good job of forecasting bank capital ratios. By implication, it provides a practical forecasting tool for bank regulatory supervisors, management, and investors.

Keywords: bank capital, bank regulation, Facebook, Prophet model, stress tests

JEL Classification: C32, C53, G21

Suggested Citation

Kolari, James W. and Sanz, Ivan, Forecasting Bank Capital Ratios Using the Prophet Model by Facebook (June 20, 2022). Available at SSRN: https://ssrn.com/abstract=4141575 or http://dx.doi.org/10.2139/ssrn.4141575

James W. Kolari (Contact Author)

Texas A&M University - Department of Finance ( email )

MS-4218
Department of Finance
College Station, TX TX 77843-4218
United States
979-845-4803 (Phone)
979-845-3884 (Fax)

Ivan Sanz

University of Valladolid - Faculty of Economic Science and Business Studies ( email )

Avenida Valle Esgueva, 6
Valladolid
Spain

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