Bank Monitoring of Borrowers and Borrowers’ Investment Efficiency: Evidence from the Switch to the Expected Credit Loss Model

55 Pages Posted: 27 Mar 2019 Last revised: 1 Nov 2022

See all articles by Muhabie Mekonnen Mengistu

Muhabie Mekonnen Mengistu

Hong Kong Polytechnic University, School of Accounting and Finance

Jeffrey Ng

The University of Hong Kong - Faculty of Business and Economics

Walid Saffar

Hong Kong Polytechnic University - School of Accounting and Finance

Janus Jian Zhang

Hong Kong Baptist University (HKBU) – Department of Accountancy and Law

Date Written: October 2022

Abstract

The recent switch from the incurred credit loss model to the expected credit loss model is an important change to bank financial reporting systems around the world. The expected credit loss model requires banks to monitor their borrowers closely for more timely recognition of loan losses. We posit and find that this close monitoring of potential loan losses enhances borrowers’ investment-q sensitivity, consistent with such monitoring enhancing borrowers’ investment efficiency. This effect is stronger for borrowers with greater bank dependence. It is also stronger in environments where banks themselves face more intense regulation and monitoring, indicating that the monitoring effects from regulation spill over to banks and then to borrowers. Overall, our study provides the novel insight that changes in the intensity of banks’ monitoring of borrowers due to their financial reporting system can have real effects on their borrowers.

Keywords: expected credit loss model; loan loss recognition timeliness; bank monitoring; investment efficiency

JEL Classification: G21, G28, G31, G38, H25, M41

Suggested Citation

Mengistu, Muhabie Mekonnen and Ng, Jeffrey and Saffar, Walid and Zhang, Janus Jian, Bank Monitoring of Borrowers and Borrowers’ Investment Efficiency: Evidence from the Switch to the Expected Credit Loss Model (October 2022). Available at SSRN: https://ssrn.com/abstract=3336882 or http://dx.doi.org/10.2139/ssrn.3336882

Muhabie Mekonnen Mengistu (Contact Author)

Hong Kong Polytechnic University, School of Accounting and Finance ( email )

Hung Hom
Hong Kong
China

Jeffrey Ng

The University of Hong Kong - Faculty of Business and Economics ( email )

Pokfulam Road
Hong Kong
China

Walid Saffar

Hong Kong Polytechnic University - School of Accounting and Finance ( email )

Li Ka Shing Tower
Hong Hum
Kowloon
Hong Kong

Janus Jian Zhang

Hong Kong Baptist University (HKBU) – Department of Accountancy and Law ( email )

Hong Kong

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