SUMMARY
In 2018, TRIS Rating publicly rated and announced the ratings of 209 issuers. The issuers can be categorized as 155 non-financial companies, 46 financial institutions, and four structured finance issuers. The four remaining issuers were one sovereign, one local government, and two supranational organizations.
The corporate default study included 196 issuers, covering 150 non-financial companies and 46 financial institutions (including four issuers that we assigned shadow ratings). In this study, we excluded five issuers that issued only guaranteed bonds and we did not assign shadow ratings to these issuers. There were 29 new issuers (including one issuer that we assigned a shadow rating). Three issuers withdrew their ratings during the year (excluding one issuer that defaulted in 2017 and withdrew the rating in 2018). There was one default in 2018, bringing down the number of outstanding corporate issuers to 192 at the end of 2018. The one-year stability rate of publicly announced ratings in 2018 (excluding new issuers and rating withdrawals during 2018) was 87.2%, a 0.1% increase from the prior year.
Rating activities during the year included eight upgrades and 13 downgrades (including one default). The ratio of downgrades to upgrades was 1.63, up from 1 in 2017. There were 15 changes in rating outlook, six upwards, eight downwards, and one developing.
Four companies were placed on CreditAlert during the year, comprising three “developing” and one “negative” CreditAlerts. One “developing” and one “negative” CreditAlerts were resolved to “stable” outlooks during the year. One “developing” CreditAlert was resolved to a “developing” outlook. Thus, only one “developing” CreditAlert remained at the end of 2018.
As one company defaulted in 2018, the cumulative number of defaulters since 1994 has increased to 21 (17 issuers defaulted while still having ratings with TRIS Rating; the remaining four issuers defaulted after withdrawing their ratings). The one-, two-, and three-year cumulative default rates during 1994-2018 improved slightly to 1.11%, 2.33%, and 3.41% from 1.16%, 2.60%, and 3.71%, respectively, during 1994-2017.
The size of the Thai bond market is growing over time. The value of outstanding long-term corporate debentures at the end of 2018 was Bt3.03 trillion, increasing by 13.42% year-on-year (y-o-y). The portion of non-rated bonds to total outstanding bonds decreased to around 13.73% from 15.05% in 2017.
TRIS Rating expects the total amount of bond issuances in 2019 will grow by 1%-3% from last year. In 2018, the amount of new corporate bonds issued and registered with the Thai Bond Market Association (ThaiBMA) was Bt837,549 million, up 4.61% y-o-y. The amount of unrated bonds accounted for 18.60% of the total bonds issued in 2018, declining from 23.63% in 2017. Issuers in four industries, financial institutions, real estate developers, real estate investment trusts (REIT), and food and agribusiness, issued for almost 60% of total bond issuances in 2018.
CORPORATE DEFAULT STUDY
RATING ACTIONS IN 2018
The corporate default study was based on 196 issuers, including 150 non-financial companies and 46 financial institutions. There were eight upgrades and 13 downgrades (including one default). Five of the upgrades were corporate issuers, distributed across a number of industry sectors. Eleven of the downgrades were corporate issuers. The downgrade (including default) to upgrade ratio increased to 1.63 in 2018 from 1 in 2017.
The one-year stability rate of publicly announced ratings in 2018 (excluding new issuers, rating withdrawals, and defaults) was 87.2%, increasing 0.1% from 2017. There were 15 changes in outlook (six upwards, eight downwards, and one developing). There were four CreditAlerts issued during the year. Three were resolved within the year and one remained a “developing” CreditAlert.
• Ratings were mainly in the “A” and “BBB” categories
At the end of 2018, companies rated in the “A” and “BBB” categories remained the largest proportion of
TRIS Rating’s portfolio, accounting for 38.02% and 40.10% of publicly announced ratings (excluding withdrawals and defaults), respectively. The ratings of 29 new issuers were distributed across several rating categories but mainly in the “BBB” and “A” categories. There were two “BB”, 15 “BBB”, 10 “A”, and two “AA” ratings. The issuers rated in the lower ranges (i.e., “BB”, “B”, and “C”) have consistently comprised a small portion of the rated companies. However, the number of issuers in these categories has increased over time. At the end of 2018, there were 13 issuers rated below “BBB-”, accounting for 6.77% of publicly announced ratings (excluding withdrawals and defaults).
• Cumulative default rates improved slightly
We calculated the average cumulative default rates for each rating category to estimate the probability of default during a specified time period after a company was rated. Due to an increase in the sample size, the one-, two-, and three-year average cumulative default rates during 1994-2018 improved slightly during 1994-2017. The one-, two-, and three-year cumulative default rates during 1994-2018 improved to 1.11%, 2.33%, and 3.41% from 1.16%, 2.60%, and 3.71% during 1994-2017, respectively.
Corporate Rating Transitions (1994-2018)
A rating transition is the probability of a given issuer rating moving to another rating category within a specified time period. Generally, the ratings of investment-grade issuers are more likely to remain at the same level over a one-year period than the ratings of non-investment grade issuers. The highlighted cells in Table 5 contain the stability rates of each rating category. For example, the stability rate for the “AAA” issuers is 93.02%.
The rating stability of the companies rated “BBB”, “A”, and “AA” exceeded 90%. For the “A” rating category, 94.76% of the issuers in this category had their ratings maintained at this level in 2018. Around 3.29% of the “A” rated issuers were upgraded to “AA”, while 1.80% were downgraded to “BBB”. However, the rating stability of the “AAA” and “AA” rated issuers were lower than the rating stability of the “A” rated issuers. This was due to the relatively small sample size of issuers in both rating categories. In 2018, there were 11 “AAA” and 18 “AA” rated issuers, increasing from nine issuers and 17 issuers, respectively, in 2017. DBS Vickers Securities (Thailand) Co., Ltd. and Mega International Commercial Bank PLC were new issuers assigned “AAA” ratings in 2018.
As credit ratings should reflect default risk, the higher the rating, the lower the probability of default. However, due to both the small sample size and the severe, widespread financial crisis which hit financial institutions in 1997, the default rate of the “AA” rating category is abnormally higher than the default rate of the “A” rating category.
One-Year Relative Corporate Ratings Performance
To measure the relative accuracy of ratings assigned by TRIS Rating, we focus on the relation between credit ratings (ranked from the highest rating, “AAA”, to the lowest, “C”) and the default rates of issuers in each rating category. Normally, a higher-rated entity should have a lower default probability relative to a lower-rated entity.
TRIS Rating measures ratings performance or ratings accuracy by plotting the cumulative proportion of a universe of rated issuers (ordered from the lowest rating, “C”, to the highest rating, “AAA”) against the cumulative proportion of defaulted issuers across all rating categories, which are also ranked from the lowest to the highest rating. This curve is called the cumulative accuracy profile (CAP) curve, also known as the Lorenz curve.
Chart 4 depicts the one-year relative corporate ratings performance, based on 1,539 observations of issuers rated by TRIS Rating during 1994-2018. The upper curve (as represented by the left end of the horizontal axis), or the ideal curve, is derived from the assumption that defaults occur only among the lowest-rated entities. The middle curve, or the CAP curve, is derived from the actual default rate of each rating category, drawing from the 1,539 observations of issuers rated by TRIS Rating during 1994-2018. The lower curve is a random curve. The random curve assumes that the assigned ratings have no relation with the default rates. Therefore, the cumulative percentage share of defaulters grows at the same rate as the cumulative percentage share of rated issuers. Generally, the closer the CAP curve resembles the ideal curve, the greater the accuracy of the rating model.
The CAP curve is based to calculate the accuracy ratio or the Gini coefficient. The closer the accuracy ratio is to one, the greater rating accuracy it reflects of the rating model. The formula used to calculate the accuracy ratio is:
Accuracy ratio = area between CAP curve and random curve (Y)/area between ideal curve and random curve (X+Y)
If the credit ratings have no correlation with the defaulting cohorts, the CAP will resemble the random curve and the accuracy ratio will be equal to zero (0). On the contrary, if all defaults are concentrated among the lowest-rated issuers, the CAP curve will resemble the ideal curve and the accuracy ratio should be equal or close to one (1). If the accuracy ratio equals to one the assigned ratings are perfectly accurate.
From the 1,539 observations of issuers rated by TRIS Rating during 1994-2018, there were 17 observations in which an issuer defaulted in a one-year observation period. The default rate was 1.10%, a slight decline from 1.16% during 1994-2017. From the CAP curve, issuers rated below the “BBB+” category represent 42.3% of the overall observations. However, 88.2% of all defaulters (15 out of 17 defaulters) were in this group.
The accuracy ratio, calculated from the observations during 1994-2018, is equal to 0.58, slightly higher than 0.56 obtained in the previous assessment covering 1994-2017. The relatively low accuracy ratios are attributed to two main reasons: the small number of observations and the financial crisis faced by all issuers in 1997. There were 12 defaults during 1997-2000 and one defaulter was rated at “AA-”.
If we use the observations during the last 10 years (2008-2018), the accuracy ratio improves to 0.75. There were 1,059 observations in this cohort and only three observations defaulted during this period. This implies an overall default rate of 0.28%, leaving the remaining 99.72% of the observations with no defaults.
Appendix I
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