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For receiving bank loans

Collateral database by next yr to prevent document forgery

FE Report | June 08, 2018 00:00:00


The government wants to make a collateral database functional by the next year to prevent document forgery in receiving bank loans.

In many cases, same land and property are used as collateral for getting bank loans, Finance Minister AMA Muhith said in his budget speech on Thursday.

For preventing these fraudulent practices, a database containing information on collaterals used against all types of loans will be maintained in Financial Institutions Division, he added.

"The system will be effective from next year so that any person or institution can verify this information," the finance minister announced.

On the other hand, the central bank had started the process of developing a collateral database in order to prevent document forgery and corruption during sanctioning loans.

All scheduled banks and non-banking financial institutions (NBFIs) have already been asked to collect collateral report of the security which is supposed to be mortgaged while sanctioning a loan.

siddique.islam@gmail.com


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COMPANY YCP HIGH LOW CLOSE %CHG
MIDASFIN 23.2 25.5 23.5 25.5 9.9138%
PARAMOUNT 14.9 16.3 15.2 16.3 9.396%
REPUBLIC 21.2 23.3 21.5 23.1 8.9623%
PREMIERLEA 10.5 11.5 10.6 11.4 8.5714%
AZIZPIPES 195.0 214.5 196.7 210.6 8%
SONARBAINS 16.6 18.1 16.7 17.9 7.8313%
RUPALIBANK 40.2 43.7 40.5 42.9 6.7164%
CONTININS 18.4 19.8 18.5 19.6 6.5217%
ASIAINS 17.6 19.3 17.4 18.7 6.25%
RUPALIINS 19.7 21.1 19.6 20.9 6.0914%
COMPANY YCP HIGH LOW CLOSE %CHG
GLAXOSMITH 1100.0 1107.0 1005.0 1006.0 9.3439%
ASIAINS 19.0 19.3 17.4 17.4 9.1954%
AZIZPIPES 214.4 214.5 196.7 197.5 8.557%
MIDASFIN 25.5 25.5 23.5 23.5 8.5106%
SONARBAINS 18.0 18.1 16.7 16.7 7.7844%
PREMIERLEA 11.4 11.5 10.6 10.6 7.5472%
PARAMOUNT 16.3 16.3 15.2 15.2 7.2368%
DHAKABANK 16.6 16.6 15.5 15.5 7.0968%
CONTININS 19.8 19.8 18.5 18.5 7.027%
BNICL 17.7 17.8 16.6 16.6 6.6265%
COMPANY YCP HIGH LOW CLOSE %CHG
NLI1STMF 14.6 13.3 13.2 13.2 -9.589%
SEBL1STMF 13.8 12.7 12.5 12.5 -9.4203%
ACFL 62.6 63.5 56.6 57.0 -8.9457%
KDSALTD 91.5 93.4 84.9 85.3 -6.776%
HRTEX 50.2 52.4 45.5 47.4 -5.5777%
QUEENSOUTH 50.4 51.3 47.1 47.6 -5.5556%
REGENTTEX 24.2 24.7 22.8 23.0 -4.9587%
DESHBANDHU 20.8 21.0 19.7 19.8 -4.8077%
SEMLIBBLSF 8.5 8.2 8.1 8.2 -3.5294%
MHSML 17.2 17.4 16.5 16.6 -3.4884%
COMPANY YCP HIGH LOW CLOSE %CHG
HRTEX 46.1 52.4 45.5 52.4 -12.0229%
ACFL 57.3 63.5 56.6 63.0 -9.0476%
KDSALTD 85.9 93.4 84.9 93.4 -8.03%
QUEENSOUTH 47.3 51.3 47.1 51.3 -7.7973%
SAIHAMTEX 30.5 32.9 30.4 32.9 -7.2948%
MHSML 16.5 17.4 16.5 17.4 -5.1724%
LEGACYFOOT 263.0 279.9 258.2 277.0 -5.0542%
RELIANCINS 47.6 50.0 47.6 50.0 -4.8%
REGENTTEX 23.4 24.7 22.8 24.4 -4.0984%
BDAUTOCA 437.0 468.8 431.5 455.1 -3.9771%