Application Of Selected Creative Accounting Techniques To Detect Fraud In Financial Statements
Table 3: Results of analysed models
BENISH MODEL (M) |
Weight of Indicator |
2015/2016 |
2016/2017 |
2017/2018 |
2018/2019 |
2019/2020 |
(DSRI) |
0,920 |
0,0000 |
0,7623 |
0,8553 |
1,2770 |
0,8570 |
(GMI) |
0,528 |
1,0356 |
0,7049 |
0,8207 |
0,7962 |
0,9427 |
(AQI) |
0,404 |
0,8394 |
1,3726 |
0,9887 |
0,7071 |
0,2979 |
(SGI) |
0,892 |
1,4542 |
0,7263 |
0,8553 |
1,2770 |
0,8570 |
(DEPI) |
0,115 |
0,5984 |
0,6905 |
0,5865 |
1,0903 |
0,7997 |
(SGAI) |
0,172 |
1,0408 |
1,2817 |
0,9891 |
0,8173 |
1,0611 |
(LVGI) |
0,327 |
1,8393 |
4,1549 |
4,2392 |
1,8518 |
1,4349 |
(TATA) |
4,697 |
-0,0666 |
-1,5797 |
-2,8203 |
0,0745 |
-3,1953 |
Intercept – 4,840 |
M-score |
-3,6816 |
-11,4836 |
-17,1931 |
-2,0910 |
-18,2369 |
KG MODEL (KG) |
Weight of Indicator |
2016 |
2017 |
2018 |
2019 |
2020 |
(ASR) |
4,263 |
0,3262 |
0,0752 |
0,0857 |
0,3534 |
0,8074 |
(AR) |
0,029 |
2,5827 |
3,1145 |
5,0983 |
15,1090 |
44,9279 |
(SR) |
4,766 |
0,7366 |
1,7278 |
4,8271 |
6,8187 |
8,0053 |
(LR) |
1,936 |
2,9984 |
0,1368 |
0,0338 |
0,0815 |
0,1292 |
Intercept 5,768 |
P (%) |
0,3225 |
0,3205 |
0,3363 |
0,3493 |
0,3600 |
< Back to article