Loan Loss Provisioning Behaviour: A Case of Tanzania

This paper explores loan loss provisioning behaviour of banks in Tanzania to understand if it follows income smoothing, business cycle or capital management hypothesis. It also looks at the impact of efficiency on provisioning behaviour. Data from 26 banks over a 7 year period from 2009 to 2015 were...

Full description

Bibliographic Details
Main Author: Bhatia, Bhavit
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2013
Subjects:
Online Access:https://eprints.nottingham.ac.uk/36531/
_version_ 1848795299484532736
author Bhatia, Bhavit
author_facet Bhatia, Bhavit
author_sort Bhatia, Bhavit
building Nottingham Research Data Repository
collection Online Access
description This paper explores loan loss provisioning behaviour of banks in Tanzania to understand if it follows income smoothing, business cycle or capital management hypothesis. It also looks at the impact of efficiency on provisioning behaviour. Data from 26 banks over a 7 year period from 2009 to 2015 were used to calculate the estimates of efficiency through Stochastic Frontier Analysis. These values were then included in a loan loss provisioning model with other independent variables and observed through the General Method of Moments (GMM) estimator. The results showed that banks are overall efficient, with efficiency improving from 0.863 in 2009 to 1.126 in 2015. The second part of the paper showed that Tanzanian banks exhibited procyclicality and capital management hypothesis. While the lags were insignificant, efficiency was positive and significant. This shows the importance of including them in the paper and the misleading effects its omission could have.
first_indexed 2025-11-14T19:29:53Z
format Dissertation (University of Nottingham only)
id nottingham-36531
institution University of Nottingham Malaysia Campus
institution_category Local University
language English
last_indexed 2025-11-14T19:29:53Z
publishDate 2013
recordtype eprints
repository_type Digital Repository
spelling nottingham-365312017-10-19T16:58:23Z https://eprints.nottingham.ac.uk/36531/ Loan Loss Provisioning Behaviour: A Case of Tanzania Bhatia, Bhavit This paper explores loan loss provisioning behaviour of banks in Tanzania to understand if it follows income smoothing, business cycle or capital management hypothesis. It also looks at the impact of efficiency on provisioning behaviour. Data from 26 banks over a 7 year period from 2009 to 2015 were used to calculate the estimates of efficiency through Stochastic Frontier Analysis. These values were then included in a loan loss provisioning model with other independent variables and observed through the General Method of Moments (GMM) estimator. The results showed that banks are overall efficient, with efficiency improving from 0.863 in 2009 to 1.126 in 2015. The second part of the paper showed that Tanzanian banks exhibited procyclicality and capital management hypothesis. While the lags were insignificant, efficiency was positive and significant. This shows the importance of including them in the paper and the misleading effects its omission could have. 2013-09-13 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/36531/1/LLP%20Dissertation%20Final.pdf Bhatia, Bhavit (2013) Loan Loss Provisioning Behaviour: A Case of Tanzania. [Dissertation (University of Nottingham only)] Loan Loss Provision X-Efficiency Stochastic Frontier Analysis
spellingShingle Loan Loss Provision
X-Efficiency
Stochastic Frontier Analysis
Bhatia, Bhavit
Loan Loss Provisioning Behaviour: A Case of Tanzania
title Loan Loss Provisioning Behaviour: A Case of Tanzania
title_full Loan Loss Provisioning Behaviour: A Case of Tanzania
title_fullStr Loan Loss Provisioning Behaviour: A Case of Tanzania
title_full_unstemmed Loan Loss Provisioning Behaviour: A Case of Tanzania
title_short Loan Loss Provisioning Behaviour: A Case of Tanzania
title_sort loan loss provisioning behaviour: a case of tanzania
topic Loan Loss Provision
X-Efficiency
Stochastic Frontier Analysis
url https://eprints.nottingham.ac.uk/36531/