/Users/andrea/_magisterarbeit/korpus/clean/testkorpus/24/file_224m.html NN ----------------------------------------- : Dynamic JJ Daring NP Daily NP Front NP Page NP Metro NP Business NP International NP Sports NPS National NP Editorial NN Page NP Eight CD Feature NN ARCHIVE NP MAIN JJ PAGE NN Economic NP crimes NNS hit VVD 37 CD pc NN global JJ cos NN DOW VV JONES NP , , LONDON NP , , July NP 8 CD Economic NP crime NN continues VVZ to TO be VB a DT menace NN to TO businesses NNS throughout IN the DT world NN and CC over IN a DT third JJ of IN companies NNS were VBD victims NNS of IN fraud NN in IN the DT last JJ two CD years NNS , , suffering VVG an DT average JJ loss NN of IN over IN 2 CD million CD , , according VVG to TO PricewaterhouseCoopers NP Global NP Economic NP Crime NP Survey NP 2003 CD . SENT Worldwide NP the DT highest JJS levels NNS of IN economic JJ crime NN were VBD reported VVN in IN Africa NP 51 CD and CC North NP America NP 41 CD . SENT The DT survey NN , , undertaken VVN in IN association NN with IN Wilmer NP , , Cutler NP Pickering NP for IN the DT US NP , , is VBZ one CD of IN the DT most RBS comprehensive JJ assessments NNS of IN the DT nature NN and CC impact NN of IN fraud NN around IN the DT world NN . SENT Based VVN on IN over IN 3600 CD interviews NNS in IN 50 CD countries NNS with IN CEOs NNS , , CFOs NNS and CC those DT responsible JJ for IN detecting VVG preventing VVG economic JJ crime NN , , it PP reveals VVZ . SENT Larger JJR companies NNS , , with IN over IN 1000 CD employees NNS in IN a DT country NN , , are VBP most RBS vulnerable JJ to TO fraud NN with IN 52 CD reporting NN economic JJ crime NN in IN the DT past JJ two CD years NNS . SENT this DT compares VVZ to TO only RB 37 CD of IN smaller JJR companies NNS reporting VVG fraud NN . SENT Their PP$ investment NN in IN unfamiliar JJ overseas JJ markets NNS , , the DT devolution NN of IN management NN control NN and CC investment NN in IN superior JJ fraud NN risk NN management NN systems NNS help VVP to TO explain VV higher JJR detection NN rates NNS in IN larger JJR businesses NNS . SENT Financial JJ services NNS firms NNS reported VVD more JJR incidence NN of IN fraud NN than IN any DT other JJ industry NN . SENT One CD in IN six CD banks NNS , , for IN example NN , , reported VVD uncovering VVG money NN laundering NN during IN the DT previous JJ two CD years NNS as IN improved JJ control NN and CC compliance NN systems NNS , , and CC ongoing JJ efforts NNS to TO raise VV awareness NN of IN money NN laundering NN , , led VVD to TO higher JJR detection NN rates NNS . SENT The DT specific JJ nature NN of IN the DT financial JJ services NNS industry NN , , providing VVG access NN to TO complex JJ financial JJ transactions NNS and CC significant JJ quantities NNS of IN physical JJ assets NNS , , has VHZ proved VVN to TO be VB an DT obvious JJ target NN for IN fraudsters NNS . SENT The DT financial JJ loss NN from IN economic JJ crime NN is VBZ notoriously RB difficult JJ to TO quantify VV , , especially RB for IN less JJR tangible JJ economic JJ crimes NNS such JJ as IN cybercrime NN . SENT One CD third NN of IN the DT companies NNS that WDT had VHD reported VVN fraud NN were VBD unable JJ to TO put VV a DT value NN on IN the DT crime NN . SENT According VVG to TO survey VV the DT real JJ financial JJ cost NN of IN fraud NN extends VVZ beyond IN the DT average JJ loss NN of IN US NP 2 CD . SENT 2 CD million CD . SENT Not RB only RB are VBP such JJ losses NNS rarely RB recovered VVD only RB 9 CD of IN companies NNS which WDT suffered VVD a DT fraud NN managed VVD to TO recover VV more JJR than IN 80 CD of IN their PP$ losses NNS but CC they PP are VBP unlikely JJ to TO be VB insured VVN . SENT just RB over IN half NN of IN the DT businesses NNS surveyed VVD had VHD taken VVN out RP insurance NN against IN fraud NN losses NNS . SENT The DT cost NN cannot NN be VB measured VVN solely RB in IN financial JJ terms NNS but CC in IN the DT context NN of IN wider JJR collateral NN damage NN such JJ as IN weakened JJ staff NN morale NN , , tarnished VVN reputation NN and CC brand NN , , and CC damaged JJ business NN relationships NNS . SENT One CD third NN of IN businesses NNS reported VVD long RB term VV operational JJ effects NNS of IN economic JJ crime NN and CC 47 CD stated VVN that IN fraud NN had VHD a DT long JJ standing NN impact NN on IN the DT company NN share NN price NN . SENT A DT majority NN of IN businesses NNS are VBP inadequately RB prepared VVN to TO manage VV and CC prevent VV economic JJ crime NN . SENT For IN example NN , , less JJR than IN 30 CD of IN businesses NNS have VHP any DT fraud NN related JJ training NN for IN senior JJ management NN that WDT have VHP responsibility NN for IN handling VVG economic JJ crime NN issues NNS . SENT Currently RB , , too RB many JJ companies NNS rely VVP on IN more JJR intangible JJ prevention NN tools NNS such JJ as IN codes NNS of IN conduct NN and CC ethical JJ policies NNS that WDT , , although IN a DT foundation NN for IN good JJ practice NN , , on IN their PP$ own JJ can MD be VB poorly RB understood VVN and CC difficult JJ to TO enforce VV . SENT In IN contrast NN , , companies NNS that WDT have VHP actually RB suffered VVN a DT fraud NN are VBP more RBR likely JJ to TO take VV practical JJ and CC effective JJ measures NNS to TO combat VV fraud NN and CC mitigate VV its PP$ impact NN . SENT For IN example NN , , by IN taking VVG out RP insurance NN cover NN against IN fraud NN related JJ losses NNS , , companies NNS reported VVD being JJ 3 CD times NNS more RBR likely JJ to TO recover VV more JJR than IN 60 CD of IN their PP$ losses NNS . SENT According VVG to TO the DT survey NN a DT preventative JJ anti JJ fraud NN regime NN should MD consist VV of IN . SENT an DT ongoing JJ assessment NN of IN the DT real JJ risks NNS and CC vulnerabilities NNS to TO fraud NN within IN an DT organisation NN . SENT senior JJ management NN actively RB communicating VVG a DT company NN s PP fraud NN policy NN . SENT developing VVG policies NNS to TO encourage VV and CC protect VV whistleblowers NNS and CC development NN of IN a DT robust JJ fraud NN response NN plan NN which WDT is VBZ based VVN on IN worst JJS case NN scenarios NNS . SENT Asset NN misappropriation NN , , generally RB the DT easiest JJS to TO detect VV as IN it PP involves VVZ the DT theft NN of IN tangible JJ assets NNS with IN a DT defined VVN value NN , , is VBZ the DT single JJ most RBS commonly RB reported VVN economic JJ crime NN , , with IN 60 CD of IN those DT reporting VVG frauds NNS claiming VVG that IN this DT was VBD among IN them PP . SENT Although IN there EX was VBD a DT greater JJR perception NN financial JJ misrepresentation NN s PP prevalence NN than IN its PP$ actual JJ incidence NN , , one CD in IN ten CD organisations NNS reported VVD a DT case NN of IN financial JJ misrepresentation NN in IN the DT past JJ two CD years NNS . SENT Looking VVG to TO the DT future NN , , a DT majority NN of IN companies NNS expect VVP fraud NN to TO increase VV in IN the DT next JJ five CD years NNS and CC 35 CD of IN companies NNS expect VVP their PP$ greatest JJS fraud NN risk NN to TO continue VV to TO be VB asset NN misappropriation NN , , followed VVD closely RB by IN cybercrime NN . SENT COPYRIGHT JJ NEW JJ AGE NN 2003 CD Mailing NN address NN Holiday NP Building NP , , 30 CD , , Tejgaon NP Industrial NP Area NP , , Dhaka NP 1208 CD , , Bangladesh NP . SENT Phone NN 880 CD 2 CD 8114145 CD , , 8118567 CD , , 8113297 CD Fax NN 880 CD 2 CD 8112247 CD Email NP newage NN bangla NN . SENT net JJ Web NP Designer NN Zahirul NP Islam NP Mamoon NP