impact of firm’s situation, on their financi...

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1024 271 Abstract: This study aimed to highlight the impact of firm’s situation, compared with the target debt ratio on their financing choices, in light of the most important theories that explain the financing choices, which is the static trade off theory and the pecking order theory. By using logistic regression applied to a simple of industrial firms listed in Amman stock exchange, in 2006.The results showed that both of deviation from the target debt ratio and the financial performance, has a positive significant impact on the probability of issuing new shares instead of indebtedness. 2006

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Page 1: impact of firm’s situation, on their financi thedspace.univ-biskra.dz:8080/jspui/bitstream/123456789/3549/1... · 4 Imed Zorgui, Le choix de financement entre la dette et l'équité

1024 271

Abstract:

This study aimed to highlight the

impact of firm’s situation,

compared with the target debt

ratio on their financing choices,

in light of the most important

theories that explain the

financing choices, which is the

static trade –off theory and the

pecking order theory. By using

logistic regression applied to a

simple of industrial firms listed

in Amman stock exchange, in

2006.The results showed that

both of deviation from the target

debt ratio and the financial

performance, has a positive

significant impact on the

probability of issuing new shares

instead of indebtedness.

2006

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274 1024

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1024271

Paul Marsh 1982

2111 2174

LogitProbit

Cécile Carpentier (2000)

1772 2127 2117

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277 1024

.

Philippe Gaud (2003)

Logit

2161519892000

Imed Zorgui (2009)

LogitProbit201

21121001

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1024277

, 1998)

(Carpentier

Zorgui

(Carpentier,2000)

1

200677

17

47,71

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272 1024

2-

Logit

2-1-

Bernolli2

P0q=1-p6

Logit

Yi=1

LogitMaximum likelihood

2-2-

Logit

Pi

Z

Zprob

%5

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1024271

2-3-

log vraisemblanceLR

(LRH0(LU)

H0LR²χ

K LR

²χK5 H0

02

Pseudo–R²

Eviews04

(4)McFadden

R–squared(LR)

Restr.log likelihood(LU)Log

likelihood LR statistic

LR(3)

2-4- Logit

P(Y=1)

P(Y=0)

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220 1024

P(y=1)

Logit

P(yit=1)it

Xitεit

Ditit

20

C

Ecartit:

LFt-1iLF*

t

RFit it

TSRit

t

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1024222

CBit it

CBit-1 it-1

DIVit it

DPAitit

Pitt-1

t

MBit it

dum2

0

l'effet dilutif

.

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221 1024

Dependent Variable : Y

Method : ML-BinaryLogit(Quadratic hill climbing)

Convergence achieved after 7 iterations QML(Huber/White) standard errors & covariance

Std. Error Z

C 2,530479 1,423569 1,075100 0,2823

ECART 0,076798** 0,030867 2,488036 0,0128

Rf 0,200433**0,0909042,2048950,0275

TSR 0,0003660,0016590,2204120,8256

MB -1,4128610,778216-1,8155120,0694

DUM -2,549530 1,602640 -1,5908320,1116

(LR) Restr.log likelihood -21,27032 (LU) log likelihood -12,68587

McFadden R– squared 0,403588

(5 df) LR17,16891

LR 0,004190

20.05(5) 11,070

1111

Eviews04

1

Logit

0,0128

%5

0,0275%5

dum

McFaddenR-squared%40,3588 Logit

LR17,16891

²χ5%5

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1024221

Ho

%95%99%40,3588

McFaddenR-squared

Zorgui

(Titman et Wessels,1999; Booth et Al, 2001; Graham,

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224 1024

2000)

Gaud (2003)

1007

Cécile

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Carpentier (2000) Paul Marsh (1982)

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1 Paul Marsh, The choice between equity and debt : An empirical

2 Cécile Carpentier, Choix de financement et ratio cible : le cas

français”, l'actualité économique, 76 (3), 2000, 365- 392.

3 Philippe Gaud, Choix de financement des firmes Européennes,

cahier de recherche, N° 09-2003 Université de Genève, Section

HEC, Suisse, Mars, 2003.

4 Imed Zorgui, Le choix de financement entre la dette et l'équité :

survol de la théorie et application pour les firmes canadiennes de

1998 à 2003, Québec University, Montérial, Canada, April, 2009.

http://www.archipel.uqam.ca/2312/1/M10927.pdf 13/05/2010

5- Cécile Carpentier, Op-Cit, P : 368.

- Imed Zorgui, Op-Cit, P : 40-41.

6

171022221

7 Régis Bourbonnais, Econométrie, Dunod, Paris, 2005, 6

ème édition,

P: 299-301.

8

201274

9 Ibid, P :301- 303.

10

t

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11

102082

12Imed Zorgui, OP-Cit, P :63.

13 Ibid, P : 40-41.