日 本 管 理 会 計 学 会 誌
管理会 計 学 2009年 第 17巻 第1号
Japanese
Firms
,Real
Activities
Earnings
Management
to
Avoid
】Losses
Chine.min Kevin Pan Abstract
This paper invest萱gates if Japanese firms that report small positive profits participate in eamings
management through real activities manipulation to avoid reporting losses. The evidence indicates
that these firms upwardly mamage earnings by cutting discretionary expenses and overproducing . Meanwhile , the findings also suggest 血 t they simultaneously record income −decreasing accruals, suggesting that firms reporting smaU positive profits have a stronger incentive to avoid reporting
losses.
KeyWords : Accruals, Cash Flow ffom Operations(CFO ), Discretionary Expenses, Production Cests, Earnings Management
目 本 企 業の 実 質活 動 に よ る
報告
利益
管理
潘
健 民〈論文 要 旨〉
本 研究で は、 日本企業の 実質活 動に よる報 告 利益 管理の検 証 を 行 っ た。2000 年以 降、 会
計 ビッ グ ・バ ン の 影響に よ り、 日
本
企業は 変 更 さ れ た 会 計 基準へ の対応 を強い られた。 本研 究は 、先 行研 究 と同様に 、営業キャ ッ シ ュ ・フ U・・一、発 生 項 目、裁量的支出 及 び 生 産コ
ス トに 焦点を 当て て分 析 を 行 っ た。分析 の結 果、 対 象 企業は裁 量 的 支出の 削減を行 うの と 同時に 、大量生産に よ りコ ス トを低減 させ るこ とに よ り、
利
益数値
を作
り上 げるこ と が確 認で きた。 同時に 、 対 象企業は、 発生項目 に よ り利 益 数 値を 引 き 下げるこ と も確認で き、対 象企業が報告 利益管理 を 行 う動 機が さ らに強 まっ た と考えられ る。 本研 究にお け る 分 析 結 果を総 合 する と、対 象企業は実 質活動に よ る報 告利 益 管理 を 行っ てい た 可 能 性 が あ るの で は ない か と考えられる。
〈 キーワー ド〉
発 生 項 目、営業キャ ッ シ ュ ・フ ロ ー
、 裁 量 的 支 出、 生 産コ ス ト、 報 告利 益管理
2008 年3月 11 日 受 付
2DO8年 7月30日 受理
早 稲田 大学大学 院 商学研 究 科 博 士 後 期 課 程
Submitted llMarch 2008 Accepted 30 July 2008
Doctoral Student, Graduate School of Cornrnerce,
Waseda University
The Japanese Association of Management Accounting
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ewpaker\ eg]7tsng1e
1.
Introduction
Thispaper investigatesJapanesefirms'eamings managernent through real activities manipulation
(i.e.,
operational activities that affect cash flows).lnpartieular,thispaper investigatesifJapanesefums thatreport smal1 positiveprofitsengage inreal activities management toavoid reponing losses.Startingin the 1ate1990s,theJapanesebusinessenvironment eniered an era of accounting change. During thistime, new standards were adopted in the Japanese GenerallyAcceptedAccountingPrincipies
(GAAP)
as partof the refbrm known as theJapanese Accounting "Big Bang."With so many changes inaccounting rules wnhin such a 1imitedtime span, itwould be a valuable exercise to examine how thesenew accounting standards haveinfluencedaccounting practiceinJapanesefirms.'
Inthispaper;Iexamine ifJapanese firmsmanage earnings toavoid reporting losses
through real activities earnings management. The existing literatureon eamings management shows that managers havea strong incentiveito arvoid negative earnings surprises otiand exceed specific eamings thresholds.2
Severalpaststudies providesubstantial evidence thatJapanesemanagers engage in
eamings management. For example, Shuto
(2000)
and Suda and Shuto(2001)
provideevidence on accruals management and Suda and Shuto
(2005)
presentevidence ofearnings managemeni combined withearnings distributionand accruals management.
SimilarIMHerrmann, Inoue,and Thomas
(2003)
linkthe eamings managementactivities of Japanese firms with the sales of fixed assets and marketable securities,
whileShuto
(2007)
establishes a connection with executive compensation schemes. Inother extensions, Yamashitaand Otogawa
(2e08)
investigateifJapanesefirmsmanaged earnings inresponse tothetaxreductions of thelate1990sand Onuma(2004)
analyzedtheuse of valuation allowances fordeferredtaxes forearnings management inJapanese
comrnercia! banks.However,the evidence on earnings management in Japan!argely
ends inthe1999fisealyear3with only a few studies, such as Onuma
(2004)
and Pan(2006),
continuing beyondthe 2000fiscalyear.Thispaperconuibutes to the literatureby linkingthe eamings management of
Japanesefirmsto real activities manipulation. Untilnovv) research on earnings management activities has focusedon accruals management with only a few studies extending theirscope to specific earnings management vehicles. Thispaperisalsoone of thefew studies thatexamine earnings management activities of Japanese firmsafter
the2000 fiscalyear.
2.Earningsand RealActivitiesManagement
2.1Managing tolexceedEarnings Tlhresholds
One of themainstream research rnethods used to detectearnings management isto
depictthefrequencydistributionof earnings byfirm-yearto indicateiffirmexecutives manage earnings to avoid reporting losses.More specifically, when plottingthe frequencyof eamings intoearnings intervals,researchers often finda discontinuityin thezero earnings interval.Thisdiscontinuitythen provides evidence of the firms'
attempts to manage earnings to exceed the zero eafr}ingsthresholdto avoid reponing
losses.
The particularfindingof an earnings distributiondiscontinuitywas firstdocumented byHayn
(1995)
and Burgstahlerand Dichev(1997).
Thismethod hasalsobeenapplied4
NII-Electronic
H"fi\o=pttaent:l6WkiUesrgN
by Degeorge,Pateland Zeckhauser
(1999),
Dechow) Richardsonand Tuna(2003),
Beave4McNicholsand Nelson
(2007),
Xue(2004),
and Durtschiand Easton(2005).
Inaddition, several studies on earnings management activitiesinJapanesefirmsemploy
similar methods, includingShutoand Suda
(2001),
Suda and Shuto(2005),
and Pan<2eo6).
2,2AccruaZsManagement and RealActivitiesManagement
Othertharitheshape of thefrequencydistributionof earnings, theexisting literature
also presentsmodels and methods tocapture earnings management activities byfirms.A Jones-typeaccruals model
(Jones,
1991)or themodified Jonesaccruals model(Dechovvl
Sloanand Sweeney, 1995)has dominatedthe detectionof earnings management activities duringthe lastdecade.In addition to theirrole as a detectorof earnings management, increases!decreasesinaccruals are also presentedasevidence of earnings
4 management.
More recently, real activities eamings management hasreceived increasingattention
fromyounger researchers. InBalland Shivakumar
(2e06),
itisargtied thata lessnoisyearnings variable isobtained by adding working capital accmals tothecash flowsfrom
operations
(CFO).
In short, accruals models are used to detecteamings managementactivities withno directcczshflow conseguences
(Roychowdhury,
2006).Conversely, real activities earnings management focuseson detectingearnings
management activities with directcash
flow
conseguences. The literatureon real activities earnings management detailsthefbllowingtransactions.First,cutting research and development(R&D)
expenses, or selling, generaland administrative(SG&A)
expenditures to increaseincome.Second,overproducing to reduce the cost of goods
sold to increaseincome.[[hird,cutting prices!offeringpricediscountsto boestsales in
thecurrent period.FinallMselling fixedassets withumealized heldinggainsor losses.5 In a seminal studM Roychowdhury
(2006)
proposes and findsevidence thatfirmsmanage eamings through real activitiesmanipulation. Followingthe procedures developedinRoychowdhury
(2006),
Gumy(2005)
analyzes the consequenQes of real activities eanrings management and findsthatmanaging eamings through ,realactivities significantly hinder the futureperformanceof firms.Zang(2007)
also studies thetrade-off betweenaccruals management and real activities management and findsthat
managers opportunistically switch fromaccruals toreal activities and vice versa. In a recent paper,Cohen, Dey and Lys
(2008)
investigateand findthat accrual-based earnings management declinessignificantly after tihepassage Sarbanes-OxleyAct(SOX)
in2002, while real activities earnings management increasessigriificantly afterthepassageof SOX.
3.RealActivitiesHypotheses 3.JRealActivitiesEarnings Management
A number of studies harvediscussedthepossibilitythatmanagerial interventioninthe reponing processcan occur via not only accounting estimates and methods, butalso operational decisions.6Shortlyafter Healyand Wahlen
(1999),
Dechow and Skinner(2000)
propose thattheacceleration of sales, alterations inshipment schedules and thedelayof R&D and maintenance expenditures are some of the earnings management methods ayailable to managers. Reychowdhury
(2006)
investigatesseveral other realThe Japanese Association of Management Accounting
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Pmpkst4 th17igac1g
activities management methods, includingprice discouritsand the reduction of
discretionaryexpenses, as possiblyoptimal actions giventhe economic circumstances ofthe firm.
InRoychowdnury
(2006),
two featurescharacterize real activitiesmanipulation:(al
departuresfrom normal operational practices-these.departuresare, by themselves, potentiallydetrimentalto firm value,7 and
(b)
a desireto mislead at leastsornestakeholders intobelievingcertain financialreponing goalshavebeenmet inthenorrnal course ofoperations.8 Realactivities management affbcts cash fiowsand, insome cases, accruals. Zang
(2006)
also argues thatreal activities and accruals management aresubstitutes. Hence,thepresentanalysis alsoinvestigatesaccruals management.
This paper fbcuseson the fbllowingreal activities earnings management manipulation methods documentedinthe literatureand theireffects on excess CFO:
1.offering pricediscountstoincreasesales,
2.reducing discretionaryexpenses, and
3.overproducing todecreasethe costs ofgoods sold.
3.2OLt7ZiringPriceDiscountstoincreaseSales
Salesmanipulation isgenerallydefinedas a managerial attempt to temporarily
increasesales beforethe fiscalyear-end.Itisargued that by offering pricediscounts,
managers can rush inmore sales volume befbretheyear-end.However,managers likely
undertake such actions even inthenormal course of business.Whethertheseaetivities are more extensive thannormal among firrnstryingtomeet earnings targetsisthenan empirical question.Also, itisexpected that the additional sales volumes created by pricediscountswill reverse inthe next fiscalyearonce the firmstops offering such
discounts.
3.3ReducingDiscretionar:),Ebepenses
One effective way toincreaseearnings isredueing discretionaryexpenses. Following Roychowdhury
(2006),
this paper investigatesif Japanesefirms make use・ofdiscretionaryexpenses to manage eamings by examining advertising, research and
development
(R&D)
and selling, generaland administrative(SG&A)
expenses.[Ibgether,advenising and R&D typically comprise a Iargeshare of discretionary
expenses and managers can temporarily increaseearnings through theirreduction. For
example, Mande,File,and Kwak (2000)provideevidence thatJapanese firmsinthe 1990ssmoothed incomethroughtheadjustmerrt ofR&D expenses.
Otherthanadvertising and R&D expenses, SG&A usually includes,amongst other things, employee training, maintenance and travelingexpenses. These items are
generallyinthe fbrm of cash. Reducing discretionaryexpenditures haspositiveeflects
on excess operational cash fiowsinthecurrent period,butonly atthe expense of lower
cash inflowsinthe future.Atthe same time, when reducing discretionaryexpenditures such advertising and R&D, thelong-termcompetitiveness and profitabilityof thefirrnis
adversely affected.
Roychowdhury
(2006)
expresses discretionaryexpenses as advenising expense +R&D expense + SG&A expense. SG&A expense inRoychowdhury
(2006)
istakenfrom COMPUSTAT data item#189. The datadefinitionin COMPUSTAT #189 indicatesthatthecalculation of SG&A alreadyincludesadvertising and R&D. Inother
6
E2pAmea)2Riswta:*4wsijf]esgpt
words, itisvery possiblethatRoychowdhury
(2006)
doublecounts advertising andR&D expenses indiscretionaryexpenses. 'Ib avoid this,thispaper employs SG&A
expense as the discretionaryexpense.
3,4 Overproducing toDecnease theCostqf'GoocisSbld
Recalltheprincipleof profit-maximizationfromany introductoryeconomics text:
firrnsmaximize profitsat thepointwhere marginal costs equal marginal revenues.
Roychowdhury
(2006)
argues that"...manufacturing firmscan overproduce(produce
more goods than necessary tomeet expected demand) to manage eamings upwards
(p.
340."
As theproductionvolume of goods increases,variable costs also increase.Howeveg
when productionvolumes increase,fixedcosts do not change and the per-unitfixed
overhead costs decline.As longas theincreaseinmarginal costs per unit doesnot exceed the decreaseinfixedcosts perunit, totaleost perunit declines.Withlowertotal
costs perunig the reported CostsofGoods Sold
(COGS)
are lower,and firmsare able toreport betteroperating margins.
Thispaperdefinesproductioncosts as thesum of Costsof Goods Soidand the
ChangeinInventoryduringa period.Withthisdefinition,ifthefrrmdecidestomanage earnings through overproduction, thefirmwili need tobeartheproductionand holding
costs of the'overproduced goods thatthefirmisunable to sell beforethe end of the fiscalyeai
Nonmanufacturingfirmsalso have production costs within the scope of this definition.Itispossible,fbrexample, thatnonmanufacturing firmsreceive price discountsfrom bulkpurchases.Ifthe firmreceives pricediscounts,itreports lower COGS and higheroperating margins. At the sarne time, thefirmalso incursthe
inventoryholdingcosts ofthe overpurchased goods thatthefirmisunal)le tosell befbre the fiscalyear-end.Therefore,fora given sales level,cash flowsfrom operations a!}e expected tobelowerthannormal.
3,5.Eormal
thpotheses
Similarto Roychowdhury
(2006),
the discussioninthis section suggests that therelation betweenreal activities and sales isas fbllows:offering pricediscountsand overproducing leadstohigherproductioncosts relative tosales volume, while reducing
discretionaryexpenditures leadsto lowerdiscretionaryexpenses relative to sales.
Conversely,therelation betweenreal activities and sales isas fbllows:pricediscounts,
channel stuMng, and overproducing may simultaneously decreaseCFO, while reducing
discretionaryexpenditures may increaseCFO.
FollowingRoychowchury
(2006),
theformalhypothesesare as fbllows:,Fbrmal
Hlpothesis for
OveT:pn)duction:Aftercontrolling forthelevelofsales, targetfirrnsshould haveunusually highproductioncosts.
jFbrmal
H)tpothesis for
Discretionan}Jlixpenses:Aftercontrolling fbrthelevelof sales, targetfirmsshould have either or bothunusually low cash
fiowfromoperations
(CFO)
and lowdiscretionaryexpenses.The Japanese Association of Management Accounting
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eNkat\ ag17iges1e
4.Data and VlairiableDefinitions 4,1Dataand Sbmple
Financialand stock pricedataare obtained fromthe NikkeiEconomic Electronic Datal)ankSystem-FinancialQUEST
(hereafteg
NEEDS-FQ) on-line databaseservice.Allfirmsinthesample are listedinthefirstand second section ofthe [fbkyoSecurities Exchange.Allfirmsincludedinthe sample are also March fiscalyear-endfirms.The dataperiodeovers theperiodfromfiscalyear2eOOto fiscalyear2004.Tb ensure data
consistency, firms that change theirfiscalyear-end duringthe sample period are
removed. Inaddition,al1firmsin
the
sample arerequired tohaveconsecutive firm-year datathroughout the entire sample period.'Ibcalculate market capitalization, firm-yearsare excluded ifthestock pricedataismissing.
The Niki(eiindustryclassification codes are used to identifyif a firm is a manufacturing or nonrnanufacturing firm.Inaddition, thetwo-digitNikkeimedium
industryclassification codes are used to identifya firm'sindustry affTiliation.
Furthermore,firmsinregulated industries
(e.g.,
utilities),banks,and other financiai institirtionsare excluded fromthesample.The regressions inthepaperare estimated fbrevery industryfbrevery year.Any industrywithlessthan 15 observations ina yearisexcluded fromthesample. As a result, the fu11sample consists of 8,205observations from 24 industriesand l,641
individualfirmsover theperiod2000 to2004.
4.2 Choice
ofSbaling
jFbctorThe choice of scaling factoris intendedto incorporatethe uniqueness of the
accounting environment inJapan.Inthis paper,all variables are deflatedby market capitalization-unless specified otherwise.
The choice betweentotalassets or market capitalization as the scaling factorisa controversial issueintheaccounting literature.Inthecase ofJapanese firms,themarket value of equity isa betterdeflatorthan thebook value of totalassets. Thisisbecause duete a deep-rootedhistoricalcost accounting convention inJapan,thebookvalue of
landheldby long-establishedfirrnsmay be undervalued.9 These unrealized holding gains hiddenwithin landpricesare very comrnon arnong long-establishedJapanese firms.By using market capitalization, the expectations of market participantsto some
extent
justify
theunrealized holdinggainshiddeninthefirm'stotalassets.43.Expectation Modelsfor ]lixcess lhlues
Followingthe proceduresfbundinthe literaturetodetectreal activities management
(Roychowdhury,
2006; Gunny, 2006;Zang, 2006),Ifirstestimate the `normal levelvalue of thevariable' and thendefinethedeviationbetweenthisand therealized value ofvariable as the`ex ¢ess value ofthe variable'.
[foprovidespecific detaiion theempirical procedure,we givea detaileddescription
of how we derivetheexcess cash flowfromoperations
(CFO).
Ifirstuse themodelpresentedinDechowl Kothariand Watts
(1998)
to estimate thenormal CFO fbreachfirm-year.Then using the sales in thisfirm-yearand the estimated mean relatien
betweenCFO and sales forthecorresponding industry-year,Idefinethenormal CFO.
Finally,Idefinethedeviationsbetweenthe estimated normal CFO and the realized CFO
as `excess CFO.'
Four models are selected from Dechow} Kothariand Watts
(1998)
to definethe8
HJShiSOscpttaste:X4sue*ilasewge
excess cash flowsfrom operations, excess production costs, excess discretionary
expenses, and excess accmals. All fourof thesemodels are represented ds a 1inear functionof salesor thechange insales.
The firstrnodel definestheexcess vaiue ofcash flowfromoperations. As discussed,
theTChr2S;:'oSedCe?2.sneakSirneesVedMaOsdfebiilgeXs{?gressedoneveryindustryeveryyear.
CFq = qo+ai *S, +a2 *AEL +6,
(1)
where
CFq := cash flowsfromoperations inperiod t,
S
== salesgeneratedinperiod t,andAS,= changes insales inperiodt.
The regression rnodel assumes a linearrelation between the cash fiow from
operations and sales and change insales inthe current period.The excess CFO or excess cash .17ows.17om operationsare definedaS thedeviationsbetweentherealized CFO and theestimated CFO.
Ihe treatment inregression
(1)
isalsoapplied to regressions(2)
and(3)
to defineexces,s productipnQostsand excess discretionaryexpenses. Again, the cross-sectional regressions are estimated fbrevery industryand year:
PRODL =
1%
+ 13i"S)+13i
fAS,+ ,CL3" ASr-i+eDisex,= 16+ 7i*
a-i
+ et(2)(3)
where
PR04 == productioncosts, definedas CostofGoods Sold+ ChangeinInventory, Disex,= discretionaryexpenses, definedas SG&A,
S,-,= sales generatedinthepriorperiod t-1, and
AS,-,== changes insales inthepriorperiod t-1.
The excess .PROD, or excess productioncosts, and excess Disex,or excess
discretionatyexpenses, are aisodefinedas thedeviationsbetweentherealized PROD
and the estimated PROD, and realized Disex and theestimated Disexrespectively.
Regression
(2)
assumes a linearrelation between production costs between sales,change insales and change insales inpreviousperiod.Regression
(3)
assumes a linearrelation betweendiscretionaryexpenses and sales. Productioncosts hereare definedas
thesum of the costs of goods sold and thechange ininventory.Discretionaryexpenses
hereare definedas selling, generaland admmistrative expenses
(SG&A).
Finally,accruals are introducedfbrthepuiposeof the comparison betweenacc;uals management and real management. `Normal' accruals are estimated byusing themodel
inJones
(1991):
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The Japanese Assooiation of Management Aooounting
管 理 会 計 学 第 17巻 第 1号
Tab 且e l−Excess 瓶 i滋)le Expectation Models
Panel A:Ex ectation Models Estirnated with Cross−sectional Re essions
CFO , PROD , DiseXt AccrualSt
Intercept StSt
_1
△LS,
△St.1PPE
,
* * 串0.084817
(1Ll8291 )
* * *O,038102 (25.45533)
一〇.007335
(−0.36414)
* * *騨α24238
(−21.4619)
* * 噌O.834371 (247,7071)
■0.06204 (■1.47825)
* * *0.098254 (3.054039 )
* ¥*O.240766 (2850354 )
** *O.140022 (75.96929)
*0.013138
(1.658283)
0,020035
(1.022601 )
* * *凾O.12137 (−415501)
#Obv . Ad ’
usted R2
82050
.2965
82050
.9624
82050
.5914
82050
.3526
*,串 寧,and *串 寧indioate variabl 已signiflcant at 10%,5%, and 1% level respectively . The sample includes 24 industries and 120 industry−years over 2000 to 2004 五sc径1−years. Numbers presented in the table are mじan coe 伍 cients and mean a{賑usted R−squared estimated by each industTy and by each ycaτ, The t−statistics reported in the paren山 esis ar巳calculated from standard errors of the mean acress al1 industry−years.
Pamel B:Descri tive Statistics ofVariables to Run the Ex ectation Models Real Numbers (in Million Yen)
Mean Median
Scaled Numbers
Mean Median
CFO
Production CestS Discretionary Expenses
AccruaIs
13,555 176,918 43,351.85
一5,360
2,209 34,176 7,688
一487
0,198718 4,144555 0.7424 一〇.16483
0.ユ38653 2.375578 0.529861
,0.07547
Sales 229,140 49.217 5.040252 3.097302
Change in Sales ・8,004 一13 一〇.05138 0,020469
Property, Plant and Equipment Market value efEquiry
53,586122
,437
8,72014
,849
0.9653 0.563489
#Obvs 8,205
Definition of Variables:(]FO二Cash且ow 丘om operations ;Accruals:【Eamings befbre extraordinary items−CFO];Praduction Costs(PRα )):【Cost of Goods Sold÷ Change in inventery】;DiscretionatJy Erpenses(Disex):[Selling, General and Administrative Expenses];∫:Sales;S,一,:Sa工es in Prior Year;A∫;Change Sales; △&ノ:Change tn Sales in Prior Year;PPE :
Propcrり〜Plant跏d Eqロipment;ScalingFactor:Market Capitalization.
Accruals、 =
%
+4
*△s,+ろ
*PPE ,+et (4)where
Accruals, = accruals , defined as earnings befbre extraordinary items m 血 us CFO , and
PPE ,= propert)r, plant and equipment . 10
N工 工一Eleotronio Library
Hptdi\`D$qtson:l6maftIUasgve
lflable2 -DescritiveStatisticsofVat-iahles
O<PRETAX<e,03 (650>
Mean Median
(t-stats) (z-stats
RestofSampte (7555)
Mean Median
Matket Valueof Equity
(millienJPY)
MarkettoBookRatio TbtalAsset
(millionJPY)
Sales
(millionJPY)
EarningsbeforeExtraordinary 'Items(millionJPY])
Earningsafter Extraordinary Items(mi]IienJPY)
NetExtraordinaryItems
(mi11ionJPY)
Cash Flow from Operations
(mi11ionJPY)
Accruals
(millionJPY)
Sales/
MarketCapitalization
EBEIt '
MarketCapitalization PrctaxInceme /
Matket Capitalization CFO1
MarketCapitalization Accruals1
MarketCapitalization ProductionCostsf
MarketCapitalizatien Disex/
MarketCapitalization IriventoryTurnoverRatio Receival)leTurnoverRatio
***295,268
(7.96)
***4.275569
(6.82)
*30,189
(-1.84)
.292,808 (1.85)
7,122 (O.65)
4,481
(-O.56)
-2,641
(-O.12)
**19,384 (2.69)
***-12,263
(-4.82)
**i2,851591
(-8.32)
***O.e50634
(-8.72)
O,Ol6g82 (-O.30)
***O.122431
(-3.83)
-O.0718
(-O.95)
***2.286623
(-7.67)
O,485651 (-8.31)
*9.085802
(1.83)
9.293S5S (-O,82)
***31,414
(7.5239)
***1247726
(10.7938)
59,267 (1.2294)
**47,993
(-O.2420)
1,380 (-O.9506)
***442 (-6,4830)
*-418
(.1.7792)
2,551 (1.0659)
"*-761 (-3.5936)
***1.8e7746
(-12.0135)
***O,035068
(-20.6786)
***O.O18e84
(-26.5644)
***O.084057
(-10.2968)
-O.04223 (-O.5690)
***123074
(-11.5230)
O.344778 (-9.48)
**3,747806
(-2.6126)
5,058046 (-1,2230)
107,567 1.20S363 260,689 223,662 8,288 5,565-2,723
13,OS3-4,766
S228555 O.114281 O.035351 O.205282
-O,091 4.304404 O.76449 6.676297 12,92603
14,186 O.771787 52,726 49,269 1,649 1,102-319
2,193-467
3.258519 O,le8696 O.080284 O.144477 -O.03908 2.499414 O.5475S8 4,O15724 5,250318
i. *', and *** indicatevariable differencesfrorntherestof thesample significant at10%,5%,and 1%levelr¢spectively. The t-statisticsintheparenthesesareproducedbyt-testforthcdifferencesinmeans; andz-statisticsbynon-parametrietestforthe differencesinmedians.
Definitionof Nlariables:Accruals:[Earningsbeforeextraordinary items-CFO].PrvdltctienCosts(PROD):ICostof Goods
Sold+ ChangeinInventoryl,Diseretionae,Eig,ensesCDisex):[Selling,Generaland AdrninistrativeExpenses],EBEI:Earnings beforeExtraerdinaryItems,MZEi:The MarketValueof Equity(MarketCapitalization),Adhrhet-to-bookuaew:The Ratioof MVE totheBookWhlueefEquity,inventorJ,71tmoverilatie:[CostofGoodsSold]1[eeginninginventory+Endinginyentory) f21,iaeceivable7i`rneverllatio:SalesX[(BeginningGTossReceivables+ EndingReceivables)12].
4.4DescriptiveSiratistics
of,lixcess
lhluesTal)le1 providestheestimated results from thefburmodels. Panel A detailsthe
regression estimates foreach industryand year.Panel B providesdescriptivestatistics ofthe variables used teestimate themodels.
PanelA in'fable 1 shows thecoefficients and t-statisticscalculated fromthemean
standard errors across al1industry-yearsfrom2000 to2004. Allregressions reported in PanelA are estimated fbr evgry industryineach year.Hence,theregressions are estimated with a very strict assumption thatall firrnsinthe same industry-yearhave
The Japanese Association of Management Accounting
NII-Electronic Library Service
The JapaneseAssociation of Management Accounting
ereekstgeac17g M 1e
Figure1-FrequencyDistributienofEarnings beforeExtraordinaryIterns(OTdinaryIncorne)
250
200
m 150.ELbts2i
100
50
opt8SSSSsstSSSSSSSSSSSS"geSSSSSSSSSSSS
' -
tt....ttttt-.t' t--';,!.ttt ./t'tt'atttt/tt,'.tt.'d
./.,tl'tt'.t,/t.',/t-!'' t/.t''g.tt/'tt
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.t/t' ''
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exactly the sarne parameters.Inessence, ai1of theindependentvarial)les ineach model
(except
fbr AS,)
are significantly correlated with theircorresponding dependentvariables.
Panel A also reports the adjusted R2 fbreach regression. Since the cross-sectional regressions are estimated fbrevery industryand'year, the adjusted R2 in'Ilable 1are
the mean adjustedR2. The mean adjusted R2 is O.2965 fbr CFO, O.9624 fbr productioncosts, O.5914fordiscretionaryexpenses, and O.3526fbraccruals,
5.Selectionof [[largetFirms and DescriptiveStatistics 5.JStimplesIlxamined
Thispaper examines firmswhere Isuspect managed earnings byconsidering iffirrns
manage eamings throughreal activities manipulation to avoid reporting losses.The
existing literatureen earnings management
(Burgstahler
and Dichev,1997;Degeorge,Patel,and Zeckhauser, 1999; Matsumoto, 2002) shows that managers have a strong
incentivetoavoid negative earnings surprises or exeeed specific eamings thresholds.
The thresholdsthatmanagers have a strong incentiveto exceed include:
(aj
zeroearnings
(to
not report a loss),(b)
lastperiod'searnings(to
not report decreasedeamings), and.(c) analysts' forecasts
(to
not miss analysts' expectations).Followingpriorwotk
(BurgstahIer
and Dichey l997;Beaver,McNichols, and Nelson,2007),firmsthatIsuspect of managing eamings toexceed thezero earnings threshold
are definedas firmsthatreport small positiveprofits.Smal1positiveprofitsare defined
as earnings after extraordinary itemsdeflatedby rnarket capitalization thatare greater thanorequal tozero, butlessthan 3%.
12