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日 本 管 理 会 計 学 会 誌

会 計 学 2009年 第 17巻 第1

Japanese

 

Firms

 

Real

 

Activities

 

Earnings

 

Management

 

to

Avoid

Losses

Chinemin  Kevin Pan Abstract

This paper investgates 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

実 質

活 動

潘  

健 民

文 要

 

本 研究で は 実質活 動に よ報 告 利益 管検 証 を 行 。2000 以 降

グ ・バ ン のに よ り

は 変 更 さ れ た 会 計 基 応 を られ

研 究 、先 行研 究 と同様 、営業 U発 生 項 目、裁的支出 及 び 生 産

トに 焦を 当て て分 析 を 行 。分 結 果 対 象 企裁 量 的 支行 う と 同 よ り トを低減 さ とに よ り

数値

と が 同時 対 象生項目 に 利 益 数 値を 引 き 下 と も確認

対 象報告 利理 を 行 う動 機が さ らに強 ま た とれ る。 本研 究お け る 分 析 結 果総 合 する と、対 象実 質に よ報 告利 益 管理 を 行 た 可 能 性 が あ る で は な か と

発 生 項 目

裁 量 的 支 生 産 報 告利 益管

2008 年3月 11   受 付

2DO8730  受

早 稲田 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

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The JapaneseAssociation of Management Accounting

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 the

Japanese 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)

provide

evidence on accruals management and Suda and Shuto

(2005)

presentevidence of

earnings managemeni combined withearnings distributionand accruals management.

SimilarIMHerrmann, Inoue,and Thomas

(2003)

linkthe eamings management

activities of Japanese firms with the sales of fixed assets and marketable securities,

whileShuto

(2007)

establishes a connection with executive compensation schemes. In

other extensions, Yamashitaand Otogawa

(2e08)

investigateifJapanesefirmsmanaged earnings inresponse tothetaxreductions of thelate1990sand Onuma

(2004)

analyzed

theuse 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 hasalsobeenapplied

4

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(3)

H"fi\o=pttaent:l6WkiUesrgN

by Degeorge,Pateland Zeckhauser

(1999),

Dechow) Richardsonand Tuna

(2003),

Beave4McNicholsand Nelson

(2007),

Xue

(2004),

and Durtschiand Easton

(2005).

In

addition, 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 lessnoisy

earnings variable isobtained by adding working capital accmals tothecash flowsfrom

operations

(CFO).

In short, accruals models are used to detecteamings management

activities 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 thatfirms

manage 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 the

trade-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 after

thepassageof 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 the

delayof R&D and maintenance expenditures are some of the earnings management methods ayailable to managers. Reychowdhury

(2006)

investigatesseveral other real

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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 leastsorne

stakeholders intobelievingcertain financialreponing goalshavebeenmet inthenorrnal course ofoperations.8 Realactivities management affbcts cash fiowsand, insome cases, accruals. Zang

(2006)

also argues thatreal activities and accruals management are

substitutes. 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・of

discretionaryexpenses 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)

istaken

from COMPUSTAT data item#189. The datadefinitionin COMPUSTAT #189 indicatesthatthecalculation of SG&A alreadyincludesadvertising and R&D. Inother

6

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E2pAmea)2Riswta:*4wsijf]esgpt

words, itisvery possiblethatRoychowdhury

(2006)

doublecounts advertising and

R&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 to

report 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 the

relation 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 forthelevelof

sales, targetfirrnsshould haveunusually highproductioncosts.

jFbrmal

H)tpothesis for

Discretionan}Jlixpenses:Aftercontrolling fbrthe

levelof sales, targetfirmsshould have either or bothunusually low cash

fiowfromoperations

(CFO)

and lowdiscretionaryexpenses.

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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-years

are 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

jFbctor

The 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 level

value 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 themodel

presentedinDechowl Kothariand Watts

(1998)

to estimate thenormal CFO fbreach

firm-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 definethe

8

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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,and

AS,= 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 define

exces,s productipnQostsand excess discretionaryexpenses. Again, the cross-sectional regressions are estimated fbrevery industryand year:

PRODL =

1%

+ 13i"S)+

13i

fAS,+ ,CL3" ASr-i+e

Disex,= 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 linear

relation 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

Tab 且e lExcess ile Expectation Models

Panel AEx ectation  Models Estirnated with  Cross−sectional  Re  essions

CFO PROD DiseXt AccrualSt

Intercept StSt

_1

LS

St.1PPE

* * 串0084817

 (1Ll8291

* * *O,038102  (25.45533

007335

036414

* * *α24238

  (214619

* * 噌O834371  247,7071

  0.06204   (147825

* * *0.098254  3054039 )

* ¥O.240766  (2850354

** *O.140022  (75.96929

0.013138

(1658283

 0,020035

(1022601 )

* * *O.12137  (−415501

Obv . Ad

usted R2

 82050

2965

 82050

9624

 82050

5914

 82050

3526

串 寧and *串 寧indioate variabl signiflcant at 105 and 1 level respectively  The sample  includes 24 industries and 120 industryyears over  2000 to 2004 五sc1years Numbers presented in the table are man coe 伍 cients and mean  austed Rsquared  estimated  by each  industTy and by each  ycaτ The tstatistics reported  in the paren山 esis arcalculated  from standard errors of the mean  acress  al1 industryyears

Pamel BDescri 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

13555 176918 43351.85

5360

2209 34176 7688

487

0198718 4144555 0.7424 16483

038653 2375578 0529861

0.07547

Sales 229,140 49.217 5.040252 3.097302

Change in Sales 8,004 13 05138 0,020469

Property Plant and Equipment Market value efEquiry

53586122

437

872014

849

09653 0.563489

Obvs 8,205

Definition of VariablesFOCash且ow om  operations AccrualsEamings befbre extraordinary  items−CFOPraduction CostsPRα )【Cost of Goods Sold÷ Change in inventeryDiscretionatJy ErpensesDisexSelling General and Administrative Expenses;∫SalesSSaes in Prior YearAChange  Sales; △Change tn Sales in Prior YearPPE

PropcrPlantd EqipmentScalingFactorMarket Capitalization

Accruals

4

s

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Eleotronio  Library  

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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

lhlues

Tal)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

(10)

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

''tttt.t -tt-t/,.t/'/s .t't.''t;'''''tt'tL;tt.///;tt.tt't..

.t/t' ''

''' 'tt.t'''//tt-

'.t''t./・/ttt.t''tt'tt'

k''tt'' 't/t'tt'.ttttt/,}.tt'tt

tttt'tttt.t..tt''''

t/,t..ttt.ttt'ttttt/.t.t/ttt/'tl.tt/t1.

' ' '''''l'tt//tt''.ttt/tttttt.'

tt tt

''

.tt.'tttt.tt''t.'t/ttt-tt/tt''.,:'

tt.t 'tt'.t tt,ttt.tt./t.tt

'

exactly the sarne parameters.Inessence, ai1of theindependentvarial)les ineach model

(except

fbr AS,

)

are significantly correlated with theircorresponding dependent

variables.

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

zero

earnings

(to

not report a loss),

(b)

lastperiod'searnings

(to

not report decreased

eamings), 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

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