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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front Comput Sci Chin    2010, Vol. 4 Issue (2) : 220-236    https://doi.org/10.1007/s11704-010-0505-5
research-article
Corporate financial distress diagnosis model and application in credit rating for listing firms in China
Ling ZHANG1(), Edward I.ALTMAN2, Jerome YEN3
1. College of Business Administration of Hunan University, China; 2. Salomon center, New York University, USA; 3. Hong Kong University of Science and Technology, Hong Kong, China
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Abstract

With the enforcement of the removal system for distressed firms and the new Bankruptcy Law in China’s securities market in June 2007, the development of the bankruptcy process for firms in China is expected to create a huge impact. Therefore, identification of potential corporate distress and offering early warnings to investors, analysts, and regulators has become important. There are very distinct differences, in accounting procedures and quality of financial documents, between firms in China and those in the western world. Therefore, it may not be practical to directly apply those models or methodologies developed elsewhere to support identification of such potential distressed situations. Moreover, localized models are commonly superior to ones imported from other environments.

Based on the Z-score, we have developed a model called ZChina score to support identification of potential distress firms in China. Our four-variable model is similar to the Z”-score four-variable version, Emerging Market Scoring Model, developed in 1995. We found that our model was robust with a high accuracy. Our model has forecasting range of up to three years with 80 percent accuracy for those firms categorized as special treatment (ST); ST indicates that they are problematic firms. Applications of our model to determine a Chinese firm’s Credit Rating Equivalent are also demonstrated.

Keywords financial distress      discriminant analysis      credit rating. listing firms     
Corresponding Author(s): ZHANG Ling,Email:jenyling@163.com   
Issue Date: 05 June 2010
 Cite this article:   
Ling ZHANG,Edward I.ALTMAN,Jerome YEN. Corporate financial distress diagnosis model and application in credit rating for listing firms in China[J]. Front Comput Sci Chin, 2010, 4(2): 220-236.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-010-0505-5
https://academic.hep.com.cn/fcs/EN/Y2010/V4/I2/220
RatiosFormulaExpected sign
X1 (Return on investment)EBIT/total assets EBIT= net profit+ taxes+ financial expenditure+
X2 (Interest coverage ratio)EBIT/interest charges EBIT= net profit+ taxes+ financial expenditure+
X3 (Liquidity ratio)current asset/current liabilities
X4 (Liabilities to share capital book value)Total liabilities(short term loans+long term loans)Total share capital book value-
X5 (Trading shares liability ratio)market value of trading shares/total liabilities+
X6 (Asset-liability ratio)total liabilities/total assets-
X7 (Return on assets)net profit/average total assets average total assets= (current year’s total assets+ last year’s total assets)/2+
X8 (Working capital to total assets)working capital/total assets working capital= current asset-current liabilities+
X9 (Retained earnings to total assets)retained earnings/ total assets retained earnings= surplus reserve+ retained profits+
X10 (Book value of total shares to market value of total shares)book value of total shares / market value of total shares (total shares include all trading and non-trading ordinary A share, and does not include B share and H share)-
X11 (Total asset turnover)main business revenue/average total assets+
X12 (Return on equity)net profit/average shareholders’ equity average shareholders’ equity= (shareholders’ equity current year+ shareholders’ equity last year)/2+
X13 (Account receivable turnover)main business revenue/average accounts receivable+
X14 (Inventory turnover ratio)main business cost/average inventory+
X15 (Earnings growth ratio)(current year’s net profit- last year’s net profit)/ absolute value of last year’s net profit+
Tab.1  Financial ratio
Fig.1  Distribution of scores-original samples. Std. Dev=1.91, Mean=0.00, =60.00
Fig.1  Distribution of scores-original samples. Std. Dev=1.91, Mean=0.00, =60.00
VariablesCoefficientsMeans for ST n = 30Means for non-ST n = 30Wilks’λF ValueDFSig
Constant0.517
X6-0.460.75070.41690.57842.4171580.000
X79.32-0.16710.12360.294139.1341580.000
X80.388-0.36070.26750.70424.3861580.00
X91.158-0.32610.21490.76517.8311580.000
Tab.2  Statistic description of discriminant function (Found in table:F = 12)
variablesVIFTOLModel dimensionEigen valueConditions indexVariance proportions
ConstantX6X7X8X9
12.4651.0000.010.010.030.020.02
X62.1620.46321.6261.2310.020.010.000.040.03
X72.2270.44930.7311.8360.010.000.460.050.01
X83.6180.27640.1384.2210.000.000.070.880.92
X94.1700.24050.03997.8610.970.980.440.010.02
Tab.3  Statistical test of multicollinearity
Original sample (Group one)Discriminant score (Zchina-score)New sample (Test samples) (Group two)Total sample
Non-ST (n = 30)Non-ST companies (n = 39)69
29>0.923
00.5-0.911
10.3-0.55
ST (n = 30)ST companies(n = 21)51
00.5-0.91
00.3-0.52
10-0.35
29≤0.013
Total sample n = 60Total sample n = 60120
Tab.4  -score distribution statistics
Year before distress (ST)Correct predictionIncorrect predictionPrediction accuracy/%
1 n = 30300100
2 n = 3026487
3 n = 3021970
4 n = 30181260
5 n = 27

The original samples consist of 30 ST firms, all of which have four- years of financial statements, however, only 27 firms have five-years worth.

62l22
Tab.5  Prediction results of the distress model five years prior to ST announcement (original sample)
Years prior to STFinancial indicatorGroup3  21
X6 Total liabilities/total assetsSTNon-ST0.5665(0.1835) 0.6066(0.1846)0.4906(0.1699) 0.4441(0.1424)0.7507(0.2180)0.4169(0.1767)
X7 Net profit/average total assetsSTNon-ST-0.0101(0.0931) -0.0747(0.1931)0.1227(0.0721) 0.1157(0.0517)-0.1671(0.1251)0.1236(0.0507))
X8 Working capital/total assetsSTNon-ST0.0385(0.20093) 0.0158(0.2074)0.1765(0.1627) 0.2814(0.1803)-0.3608(1.4205)0.2675(0.1680)
X9 Retained profits/total assetsSTNon-ST0.0253(0.1190) 0.1190(0.1031)0.1075(0.0732) 0.1544(0.0993)-0.3261(0.6366)0.2149(0.2951)
Tab.6  Mean and standard deviation statistics of financial indicators of two group companies three year prior to ST announcement. Numbers in the brackets are standard deviations
MethodologyAuthorYearNumber of VariablesOverall predicting accuracy/%Application, follow-up test over 5 y
Single variable analysisJing Chen1999470.4~91.63-y in advanceNo
Shilong Wu, et al.2001479.6~92.63-y in advanceNo
MDA (Fisher)Yepei GAO, et al.20002991.131- year in advanceNo
Shilong Wu, et al.2001676~89.933- year in advancefollow-up test
LPMShilong Wu, et al.20012176~89.933- year in advancefollow-up test
LogisticShilong Wu, et al.2001676~93.533- year in advancefollow-up test
Xiuhua Jiang20021384.52~1002-y in advanceNo
Keming Wang, et al20065 financial6 non-financial70.24~91.483-y in advanceNo
Yongqiang Zhou200819 financial9 non-financial86.11~93.723-y in advanceNo
ANN (BP)Bao’an Yang200115 financial951- year in advanceNo
Shu’e Yang200515901- year in advanceNo
Ling Zhang, et al.20053261.78~1003-y in advanceNo
Genming Zhang20061896.71- year in advanceNo
Y-Score ModelShu’e Yang2003586.51- year in advanceNo
Shouhua Zhou19965701- year in advanceNo
SVM ModelLinkai Luo2006687.51- year in advanceNo
IBDR(Integrated binary discriminant rule)Zhongsheng Hua Yu Wang2007788.64~93.433-y in advanceNo
LDA(Linear discriminant analysis) LRM(Logistic Regression Model) DT(Decision Trees) NN(Neural Network)Jianguo Chen Siva Ganesh20063477.84~933-y in advanceNo
This paper: ZChina Score ModelLing Zhang, et al.2010470~1003-y in advanceYes
Tab.7  Financial distress diagnosis model comparison for Chinese firms
LevelZ-score intervalNumber of firmsPercentage of firms/%
AAAZ3 1.8516.29
AA1.3 £Z<1.814217.51
A0.9 £Z<1.325631.57
BBB0.5 £Z<0.920024.66
BB0 £Z<0.58710.73
B-1 £<0404.93
C-2 £Z<-1222.71
DZ<-2131.60
Tab.8  Credit rating of listed companies in 1998
Fig.2  Credit level of Listed companies in 1998
Fig.2  Credit level of Listed companies in 1998
Credit level19981999200020012002
FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%
AAA516.3394.3242.3100.9121.0
AA14217.59911.0979.2665.9504.2
A25631.628231.329027.620818.518315.3
BBB20024.726429.339737.845240.247539.6
BB8710.714516.116015.225222.430725.6
B404.9455.0484.6827.3978.1
C222.7141.6171.6292.6332.8
D131.6141.6181.7252.2423.5
Total811100.0902100.01051100.01124100.01199100.0
Tab.9  Credit rating of listed companies from 1998 to 2002
Fig.3  Variance of listed companies credit level from 1998 to 2002
Fig.3  Variance of listed companies credit level from 1998 to 2002
Level200320042005200620072008
FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%
AAA151.20382.83332.46513.491076.72794.76
AA725.76735.44765.671258.5618611.691629.77
A18514.8020315.1316612.3922815.6132819.8127216.40
BBB45436.3246234.4342631.7947032.1747729.9846728.17
BB36028.8037828.1738628.8141628.4731419.7339824.00
B191.52916.781269.401006.84996.221549.29
C120.96352.61503.73342.33301.89603.62
D13310.64624.62775.75372.53503.14663.98
Total125010013421001340100146110015911001658100
Tab.10  Credit rating of Chinese listed companies from 2003 to 2008
Credit level19981999200020012002
FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%
AAA27.1413.5713.570000
AA27.1427.1413.570000
A310.7113.57310.710000
BBB828.57621.43414.290013.57
BB621.431139.29414.29414.29621.43
B310.71517.861346.43725.00828.57
C310.7127.1413.57828.57517.86
D13.570013.57932.14828.57
Tab.11  Credit ratings of companies with ST announcement in 2002 ( = 29)
Credit level20022003200420052006
FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%FirmsPercentage/%
AAA0000000000
AA0000000000
A38.1100000000
BBB1232.431027.03000038.11
BB1848.652670.27821.6212.702259.46
B25.41001643.241437.84821.62
C12.7012.70821.621437.8425.41
D12.7000513.51821.6225.41
Tab.12  Credit ratings of companies with ST announcement in 2006 ( = 37)
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