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ID:14360282
大小:107.50 KB
页数:9页
时间:2018-07-28
《研发投入强度和未来市场回报的关系外文翻译(可编辑)》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、研发投入强度和未来市场回报的关系外文翻译外文翻译TherelationbetweenR&DintensityandfuturemarketreturnsMaterialSource:////0>.Author:HowardW.H.Chan?RobertW.FaffPhilipGharghori?YewKeeHoTheAustralianaccountingenvironmentprovidesanidealsettingforexaminingtheimpactofdifferentaccountingtre
2、atmentsoffirms’R&Dactivitiesontheirsubsequentreturns.UnlikeUSfirms,whichcanonlyexpenseR&D,AustralianGAAPpermitsfirmstoeitherexpenseorcapitalizetheirR&Dexpenditure.WeexamineseparatelythemarketimpactoftheR&DintensityofallR&Dactivefirms,‘capitalizers’and‘expen
3、sers’.OurresultssuggestthatfirmswithhigherR&Dintensityperformbetter,regardlessoftheaccountingmethodused,consistentwiththeresource-basedviewofthefirm.WealsofindsomeevidencethatfirmswhichexpenseR&DoutperformthosewhichcapitalizeR&DaftercontrollingforR&Dintensi
4、ty.TherehasbeenconsiderableresearchinterestonthemarketresponsestofirmsengaginginR&Dactivity.ThefindingsfromUSstudiesaresomewhatconclusive?firmsthatareR&Dintensiveearnsubsequentpositiverisk-adjustedreturns.Acommonlycitedreasonofferedforthisfindingofpositivee
5、xcessreturnsrelatestotheexistenceofaconservativeUSaccountingstandardonresearchanddevelopmentStatementofFinancialAccountingStandardsNo.2whichrequiresR&Dexpenditureberecognizedasanexpense.Asaresult,therehasbeenagrowingchorusfromtheaccountingacademiccommunitys
6、eekingareconsiderationofSFAS2,andthepossibilityofallowingselectivecapitalizationasareplacementforthecurrentoverlyconservativeaccountingmethod.EmployingalargesampleofAustralianfirms,ourstudyaugmentsthisliteraturebyexaminingthelong-termfuturereturnsoffirmstha
7、tchoosetoadoptdifferentaccountingtreatmentsforR&Dexpenditure.Specifically,weinvestigatethisquestionfocusingontheintensityofR&D,applyingtwoalternativeresearchmethods:1buy-holdreturnsinageneralizedmethodofmomentsregressionsetup;and2calendartimeabnormalreturnC
8、TARregressionsMitchellandStafford2000.Assuch,wecontributetothecurrentliteratureinfourmajorrespects.First,ourworkprovidesanalternative,richenvironmentinwhichtoperformapowerfulout-of-samplerobustnesschec
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