Bank Managers' Heterogeneous Decisions on Discretionary Loan Loss Provisions

Bank Managers' Heterogeneous Decisions on Discretionary Loan Loss Provisions This study examines bank managers' three major motivations for discretionary behavior with respect to loan loss provisions: signaling, income smoothing, and capital management. To do so, it utilizes a bank-specific time-series regression approach that captures heterogeneity in the banks' priorities and strategies for alternative motives and compares the results to those from alternative model specifications. The statistical tests and results presented in this study lead to three conclusions. First, significant results for the income smoothing hypothesis are robust to the various model specifications. Second, average signaling coefficients estimated from bank-specific regressions are systematically larger than corresponding coefficients from pooled time-series cross-sectional regressions and are statistically significant. Finally, bank managers appear to use loan loss provisions to manage their regulatory capital levels by comparing them with the minimum ratios specified by regulators rather than with a time-series bank-specific ratio or pooled time-series cross-sectional mean ratio. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Quantitative Finance and Accounting Springer Journals

Bank Managers' Heterogeneous Decisions on Discretionary Loan Loss Provisions

Loading next page...
 
/lp/springer_journal/bank-managers-heterogeneous-decisions-on-discretionary-loan-loss-004uUNBc0A
Publisher
Springer Journals
Copyright
Copyright © 2001 by Kluwer Academic Publishers
Subject
Finance; Corporate Finance; Accounting/Auditing; Econometrics; Operation Research/Decision Theory
ISSN
0924-865X
eISSN
1573-7179
D.O.I.
10.1023/A:1011284303517
Publisher site
See Article on Publisher Site

Abstract

This study examines bank managers' three major motivations for discretionary behavior with respect to loan loss provisions: signaling, income smoothing, and capital management. To do so, it utilizes a bank-specific time-series regression approach that captures heterogeneity in the banks' priorities and strategies for alternative motives and compares the results to those from alternative model specifications. The statistical tests and results presented in this study lead to three conclusions. First, significant results for the income smoothing hypothesis are robust to the various model specifications. Second, average signaling coefficients estimated from bank-specific regressions are systematically larger than corresponding coefficients from pooled time-series cross-sectional regressions and are statistically significant. Finally, bank managers appear to use loan loss provisions to manage their regulatory capital levels by comparing them with the minimum ratios specified by regulators rather than with a time-series bank-specific ratio or pooled time-series cross-sectional mean ratio.

Journal

Review of Quantitative Finance and AccountingSpringer Journals

Published: Oct 3, 2004

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off