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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
IBP 10.0 44.9 32.0 44.3 343%
PRIMETEX 31.3 34.4 32.0 34.4 9.9042%
REPUBLIC 31.9 35.0 31.8 35.0 9.7179%
HFL 26.7 29.3 27.2 29.1 8.9888%
VFSTDL 45.8 50.2 46.0 49.8 8.7336%
SHAHJABANK 27.2 29.9 27.2 29.4 8.0882%
ASIAPACINS 23.9 25.8 23.7 25.5 6.6946%
SEBL1STMF 11.8 12.5 12.5 12.5 5.9322%
VAMLRBBF 7.8 8.1 8.0 8.1 3.8462%
UTTARABANK 31.7 33.4 31.2 32.9 3.7855%
COMPANY YCP HIGH LOW CLOSE %CHG
IBP 44.6 44.9 32.0 33.0 35.1515%
REPUBLIC 35.0 35.0 31.8 31.8 10.0629%
VFSTDL 50.2 50.2 46.0 46.0 9.1304%
SHAHJABANK 29.5 29.9 27.2 27.3 8.0586%
HFL 29.3 29.3 27.2 27.2 7.7206%
PRIMETEX 34.4 34.4 32.0 32.0 7.5%
ASIAPACINS 25.7 25.8 23.7 24.0 7.0833%
UTTARABANK 32.9 33.4 31.2 31.3 5.1118%
DELTALIFE 115.0 117.5 110.1 110.1 4.4505%
ANLIMAYARN 34.1 34.1 32.5 32.7 4.2813%
COMPANY YCP HIGH LOW CLOSE %CHG
SEMLIBBLSF 10.7 9.7 9.7 9.7 -9.3458%
SAMATALETH 48.3 48.6 45.0 45.2 -6.4182%
AL-HAJTEX 76.9 77.0 71.5 72.7 -5.4616%
MONNOSTAF 4639.4 4407.5 4407.5 4407.5 -4.9985%
SKTRIMS 35.0 35.2 33.0 33.3 -4.8571%
TAKAFULINS 26.8 26.8 25.0 25.5 -4.8507%
CENTRALPHL 15.2 15.5 14.4 14.5 -4.6053%
BBS 31.7 31.9 30.0 30.3 -4.4164%
FIRSTFIN 6.8 6.6 6.4 6.5 -4.4118%
LEGACYFOOT 213.0 203.7 198.0 203.7 -4.3662%
COMPANY YCP HIGH LOW CLOSE %CHG
SAMATALETH 45.1 48.6 45.0 48.6 -7.2016%
KAY 192.5 210.0 214.0 QUE 195.6%
IMAMBUTTON 24.0 25.5 23.9 25.5 -5.8824%
CENTRALPHL 14.6 15.5 14.4 15.4 -5.1948%
HAKKANIPUL 48.3 50.9 48.3 50.9 -5.1081%
SAMORITA 69.3 73.0 68.5 73.0 -5.0685%
BSC 35.4 37.2 35.4 37.2 -4.8387%
NURANI 20.0 21.0 19.8 21.0 -4.7619%
DESHBANDHU 16.2 17.0 16.2 17.0 -4.7059%
SHEPHERD 35.1 37.3 35.0 36.8 -4.6196%