Credit Guarantee Optimization of State-owned Enterprises

Authors

  • Chayanisa Chaisuekul Fiscal Policy Research Institute

DOI:

https://doi.org/10.14456/tresp.2018.4

Keywords:

Government credit guarantee, Credit risk, Stateowned enterprises

Abstract

The objective of this paper is to estimate the credit risk of stateowned enterprises (SOEs) in the form of probability of default (PD) and then use it to analyze credit guarantee optimization. Estimation of the probability of default by the Hybrid Model found that the estimated PD for both financial and nonfinancial SOEs are ranked by credit rating grade (the rank ordering property), except for the 3rd rating grade PD of nonfinancial SOEs. Analysis of the optimal credit guarantee for each SOE by Linear Programming model found that the results of maximizing the net benefit and the results of minimizing the net expected loss from credit guarantee are similar. Moreover, the value of expected loss implies that the magnitude of credit risk must be mitigated and managed with appropriate tools by the Ministry of Finance.

References

Bank of Thailand. (2012). Notification of the Bank of Thailand Re: Rule of Credit Risk Internal Ratings-Based Approach by Internal Ratings-Based Approach. Bangkok: Bank of Thailand.

Bank of Thailand. (2016). Notification of the Bank of Thailand Re: Rules for Credit Ratings and Reserves Requirement of Financial Institutions. Bangkok: Bank of Thailand.

Forrest, A. (2005). Likelihood Approaches to Low Default Portfolios. Discussion paper, Dunfermline Building Society, September 2005.

International Monetary Fund. (2005). Government Guarantees and Fiscal Risk. Prepared by the Fiscal Affairs Department (In consultation with other departments). Approved by Ter-Minassian, Teresa.

International Monetary Fund. (2016). Analyzing and managing fiscal risks-Best Practices.

Naksakul, P. (2006). Credit Risk Models in Relation to Capital Reserve Framework of Financial Institutions. Bangkok: Bank of Thailand.

Pluto, K., & Tasche, D. (2006). Estimating Probabilities of Default for Low Default Portfolios. In B. Engelmann & R. Rauhmeier (Eds.), The Basel II Risk Parameters: Estimation, Validation, and Stress Testing (pp. 79–103). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-33087-9_5

Public Debt Management Office. (2014). Improvement of Credit Rating model for State-owned Enterprises. Bangkok. Ministry of Finance, Thailand.

Roengpitya, R. (2012). Proposal of New Hybrid PD Estimation Models for The Low Default Portfolio (LDPs), Empirical Comparisons and Policy Implications. Discussion paper. Bangkok: Bank of Thailand.

Standard & Poor's Global Rating. (2017). Default, Transition, and Recovery: 2016 Annual Sovereign Default Study and Rating Transitions

Downloads

Published

2018-12-31

How to Cite

Chaisuekul, C. (2018). Credit Guarantee Optimization of State-owned Enterprises. Thammasat Review of Economic and Social Policy, 4(2), 6–27. https://doi.org/10.14456/tresp.2018.4

Issue

Section

Original Articles