--- \,^-----r - Universitas Diponegoro

(1)

LEMBAR

HASIL PE1YILAIAN SEJAWAT SEBIDANG ATAUPTStr REYIEW

Judul Jumal Ilmiah (Artikel) Penulis Jumal Ilrniahi Jumlah penulis

Status Pengususl Identitas Jumal Ihniah

Kategori Publikasi Karya Ilmiah/buku

(beri v pada kategori yang tepat) Hasil Penilaian Peer Review :

c.

^Volume.^no,

bulan, tahun

d.

^Penerbit

KARYA

ILMIAH

^:^JURNAL

ILMIAH

Financial Distress Predictionin Indonesia

Mochammad Chabachib, Renny Hapsari Kusmaningrum, H. Hersugondo, Imang Dapit Pamungkas/ 4 orang

Penulis Anggota

a.

^Nama

Jurnal :

WSEAS Transaction on Business and Economics

b.

^Nomor

ISSN :

^1109-9526

:

Volume 16"2019

:

World Scientific and Engineering Academy and Society (WSEAS) Press

e.

^DOI

artikel

^:

fiika ^ada)

f. Alamatweb :

hup://www.wseas.org/multimedia/joumalsieconomics/2019/a505107-

jurnal

730.pdf

Terindeks di Scopus (Q4). SiR 2018 0,14, H Indeks

l4

Jumal ilmiah iater+asienalllntemasional bereputasi* * Jurnat ilmiah nasional Terakreditasi

Jumal ilmiah nasionaVnas. terindeks di Scopus, DOAJ.CABI, Copemicus*r

Komponen Yang Dinilai

Nilai Maksimal Jurnal Ilmiah

Nilai Yang Diperoleh In+ern*si<m*V

Internasional berenutasi

fr1

Nasional Terakreditasi

[t

Nasional Tidak Terakreditasi

a. Kelengkapan unsur isi ^(107o) 4.00

n

4,00

b. Ruane linekup dan kedalaman oembahasan (30%) 12.00 10,00

c. Kecukupan dan kemutahiran data /informasi dan metodolosi ^(3Ao/o)

12.00 10,00

d. Kelengkapan unsur dan kualitas terbitan/iurnal (30%) 12,00 11.00

Total =

^(100%) ^40.00 35,00

Nilai pensusul =35.00x40% 13=4,67 4,61

Catatan Penilaian oleh Reviewer :

1.

Kesesuaian dan kelenskapan unsur isi iurnal: Penulisan sudah sesuai dengan "Guide for Author" (Introductioq Problem FormulatiorS Problem Solution, Conclusiorg References) dengan sistern Author. Substansi artikel sesuai dan terkait bidang ilmu pengusuVpenulis pertama (Ekonomi Manajemen). Format lengkap, ada benang merah dalam struktur penulisannya antara judul dan isi jumal

(skor

4,00).

2.

Ruans linqkup dan kodalaman pembahasan: Substansi artikel sesuai dengan ruang lingkup jumal (Business, Management and Accounting, Business and Intemational Management). Kedalaman pembahasan cukup baik (3 dari 20 bh rujukannyadiliba&an dalam proses membahas hasil) (skor10,00).

3.

Kecukuoan dan kemutakhiran data/informasi dan metodolosi: Data-data hasil penelitian sudah menunjukkan ada kebaruan informasi. Dari 20 buah rujukanny4 terdapat 6 buahpustaka acuan yang mutakhir (kurang dari 10 th terakhir). Sebanyak 12 dari 20 pustakaberupa Jumal, (menunjukkan ^prosesreview dan kecukupan pustaka sudah memenuhi) (skor=10,90;.

4.

Kelengkapan unsur dan kualitas terbitan: Jumal ini tergolong J.Internasional Bereputasi (Editorial board lebih dari 5 negara"

Terbit secma teratur satu kali dalam satu tahun. Kontributor lebih dari 3 negar4 1109-9526, terindeks di Scopus/SJR:0,14 (2018yQ4, H Index 14; proses editorial sudahbaik) (skorl1,00).

Semarang,

Januari 2020 Peer Review,

.-a?

--- \,^---r _{'-.-_-)} -(''

Prof. Dr. Sugeng Wahyudi, MM.

NIP. 195 I 0902 198103 1002

Unit Kerja: Departemen Manajemen Fakultas Ekonomika dan Bisnis Universitas Diponegoro

(2)

LEMBAR

IIASIL PENILAIAN Sf,JAWAT SEBIDA}IG ATAU PEER

REYIEV

Judul Jumal Ilmiah (Artikel) Penulis Jumal llmiah/ Jumlah

penulis '

Status Pengususl Identitas Jumal tlmiah

Kategori Publikasi Karya Ilmiah6uku

(beri v pada kategori yang tepat)

KARYA

ILMIAH

: JURNAL

ILMIAH

Financial Distress Prediction in Indonesia

Mochammad Chabachib, Renny Hapsari Kusmaningrum, H. Hersugondo, Imang Dapit Pamungkas/ 4 orang

Penulis Anggota

a.

^Nama^Jumal

b.

Nomor ISSN

c.

^Volume,^no,

bulan, tahun

d.

^Penerbit

DOI artikel (ika ada) Alamat rveb jumal

Terindeks di Scopus (Q4). SJR 2018 0,14, H Indeks l4

J umal i lm iah in+emasiea'aVlnternasional bereputasi+ * Jurnal ilmiah nasional Terakreditasi

Jurnal ilmiah nasional/nas. terindeks di DOAJ.CABI, Copemicus**

e.

f.

WSEAS Transaction on Business and Economics

tfi9-9526

Volurne 16,2019

World Scientific and Engineering Academy and Society (WSEAS) Press

http ://www.wseas.org/multimedia/joumals/economics/20 ¹^9/a505¹07- 730.pdf

Komponen Yang Dinilai

Nilai Maksimal Jurnal Ilmiah

Nilai Yang Diperoleh In+ern*sie*ol/

Internasional bereoutasi

f71

Nasional Terakreditasi

Nasional Tidak Terakreditasi

a. Kelengkapan unsur isi (107o) 4,00

tl

3,50

b. Ruang lingkup dan kedalaman oembahasan ^(30o/o)

12.00 I 1,50

c. Kecukupan dan kemutahiran data /informasi dan metodologi (3tr/o)

12,00 ¹1,50

d. Kelengkapan unsur dan kualitas terbitan/iurnal (30%)

12,00 ¹1,50

Total =

^(100%) ^40,00 ^38,00

Nilai ^pensusul

:

$Oo/o x 38,00)/3 = 5,M7 ^5,067

Catatan Penilaian oleh Reviewer :

1.

Kesesuaian dan kelengkanan unsur isi iurnal: Penulisan publikasi sudah sesuai dengan *Paper

formai" padajurnal terkait.

Substansi artikel sudah sesuai dengan bidang ilmu ^pengusul(Ekonomi Manajemen). Formatjurnal lelgkap ^danstnrkttrr penulisau baik (skor

:

_3,50).

2.

Ruang lingkun dan kedelaman pembahasan: Substansi afrikel sesuai dengan ruang lingkup jurnal WSEAS Transaction on Business and Economics (Business, Management ard Accounting, Business and Intsmational Management). Pembahasan baik dan mendalam (3 dari 20 bh rujukannya dilibatkan dalam proses membahas hasil)

(skor:

11,50).

3.

Kecukunan dan kemutakhiran datalinformasi dan metodoloei: ^Data-datahasil penelitian sudah menunjukkan ada kebaruan informasi. Dui20 buah rujukanny4 terdapat 6 buah pustaka acuan yang mutakhir (kurang dari l0 th terakhir). Sebanyak 12 dari 20 pustaka berupa Jurnal, (menunjukkan proses review dan kecukupan pustaka sudah memenuhi) (skor

=

^11,50).

4.

Kelenqkapan unsur dan kualitas terbitan: Jumal WSEAS Transaction on Business andEconomics tergolong J.Internasional Bereputasi (Editorial board lebih dari 5 negara- Terbit secara teratur satu kali dalam satu tahun Kontributor lebih dari 3 tregarA

I 109-9526, terindeks di Scopus/SJR=0,14 (2018yQ4, H Index 14; proses editorial sudah baik) (skor

=

^11,50).

Peer

Review, \ _\

/t I

II

Prof.Drs.

lrurn Vtloruli,

^M.Com.,

Akt.,

Ph.D.

NrP.

19580816 198603

I

002

Unit Keria: Jurusan Akutansi Fakultas Ekonomika dan Bisnis Universitas Diponegoro

(3)

Document details

References (20)

4 of 10

Financial distress prediction in Indonesia

(Article)

, , ,

Department Management Faculty Economics and Business, Diponegoro University, Prof. Sudarto Street Campus Tembalang, Semarang, Indonesia

Department Accounting Faculty Economics and Business, Dian Nuswantoro University, Imam Bonjol Street, Semarang, Indonesia

Abstract

Altman in 1968 specified that there were five ratios of company difficulties, namely Working Capital to Total Assets (WCTA), Retained Earning to Total Assets (RETA), Earning Before Interest and Tax to Total Assets (EBITTA), Market Value of Total Liabilities (MVETL), Sales to Total Assets (STA). The purpose of this study was to analyze the effect of WCTA, RETA, EBITTA, MVETL, and STA on predictions of the occurrence of Financial Distress conditions. The population of this study is the annual report of Manufacturing companies listed on the Indonesia Stock Exchange during 2012-2016 with a purposive sampling method resulting in 40 total samples. Using Logistic regression analysis with SPSS 21.0 proves that Market Value of Equity to Total Liabilities (MVETL) and Sales to Total Assets (STA) have a significant negative effect on prediction of Financial Distress . Working Capital to Total Assets (WCTA), Retained Earning to Total Assets (RETA) and Earning Before Interest and Tax to Total Assets (EBITTA) have no effect on

SciVal Topic Prominence

Topic:

Prominence percentile: 97.484

Author keywords

Altman Z-score Bankruptcy Financial distress

Altman, E.I.

(1968) The Journal of Finance, 23 (4), pp. 589-609. . doi: 10.1111/j.1540-6261.1968.tb00843.x

◅ Back to results ◅ Previous Next ▻



^Export



^Download



^Print



^E-mail



Save to PDF

⋆

Add to List ^More...

▻

WSEAS Transactions on Business and Economics Volume 16, 2019, Article number #28, Pages 251-260

Chabachib, M.â  Kusmaningrum, R.H.â Hersugondo, H.â Pamungkas, I.D.^b 

a

b



View references (20)



Earnings management | Earnings | Accrual-based earnings



ISSN: 11099526 Source Type: Journal Original language: English

Document Type: Article

Publisher: World Scientiﬁc and Engineering Academy and Society

▻ View in search results format All Export



Print



E-mail



Save to PDF Create bibliography

1

FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY

Cited 4501 times

View at Publisher

PlumX Metrics

Usage, Captures, Mentions, Social Media and Citations beyond Scopus.

Metrics

Cited by 0 documents

Inform me when this document is cited in Scopus:

Brought to you by Universitas Diponegoro

Search Sources Lists SciVal ↗ Create account Sign in

(4)

Anisa, V.D., Suhermin, S.

Analisis variabel kebangkrutan terhadap terhadap ﬁnancial distress dengan metode Altman Z-Score (2016) Jurnal Ilmu & Riset Manajemen, 5 (5).

Aliﬁah, M.N., Salamudin, N., Ahmad, I.

(Open Access)

(2013) Jurnal Teknologi (Sciences and Engineering), 64 (1), pp. 85-91. . doi: 10.11113/jt.v64.1181

Asnita, R., Fuadi, R.

Analisis Perbandingan Prediksi Kebangkrutan Perusahaan dengan Menggunakan Multivariate Discriminant Analysis dan Regresi Logistik pada Perusahaan Pertambangan Batubara Periode 2010-2014

(2016) Jurnal Ilmiah Mahasiswa Ekonomi Akuntansi, 1 (1), pp. 230-246.

Baridwan, Z., Hariani, A.R.

The Presence of Earnings Manipulation Incentive as a Prerequisite for Positive Accounting Theory the Beneﬁts of Higher-Quality Audit to be Realized: The Case of Indonesia

(2010) Universitas Gadjah Mada (UGM) and Universitas Gadjah Mada Working Paper Series.

Brigham, E.F., Houston, J.F.

(2012) Fundamentals of ﬁnancial management.. . Cengage Learning

Dhamo, Z., Kume, V.

(2016)

Financial Performance and management diﬀerences: A Comprehensive Study on Couse of Financial Distress for Albanian Businesses

Elloumi, F., Gueyié, J.-P.

(2001) Corporate Governance: The international journal of business in society, 1 (1), pp. 15-23.

.

doi: 10.1108/14720700110389548

Gepp, A., Kumar, K.

The role of survival analysis in ﬁnancial distress prediction

(2008) International research journal of ﬁnance and economics, (16), p. 13. .

Ghozali, I.

Aplikasi Analisis Multivariete IBM SPSS 23 (2016) Semarang. Universitas Diponegoro.

2

3

Prediction of ﬁnancial distress companies in the consumer products sector in Malaysia

Cited 5 times http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/download/1181/1549

View at Publisher

4

5

6

Cited 390 times

7

8

Financial distress and corporate governance: An empirical analysis

Cited 85 times

View at Publisher

9

Cited 23 times

10

(5)

Hapsari, E.I.

Kekuatan Rasio Keuangan dalam Memprediksi Kondisi Financial Distress Perusahaan Manufaktur di BEI (2012) Jurnal Dinamika Manajemen, 3 (2).

Jogiyanto, H.M.

Sistem Teknologi Informasi Bisnis: Pendekatan Strategis (2013) Jakarta: Salemba Empat.

Nugroho, M.I.D., Mawardi, W.

(2012) Analisis Prediksi Financial Distress dengan Menggunakan Model Altman Z-Score Modiﬁkasi 1995 (Studi Kasus pada Perusahaan Manufaktur yang Go Public di Indonesia Tahun 2008 sampai dengan Tahun 2010)

Doctoral dissertation, Fakultas Ekonomika dan Bisnis

Nyamboga, T.O., Omwario, B.N., Muriuki, A.M., Gongera, G.

Determinants of Corporate Financial Distress: Case of Non-Financial Firms Listed in the Nairobi Securities Exchange

(2014) Research Journal of Finance and Accounting, 5 (12), pp. 193-207. .

Mas’ud, I., Srengga, R.M.

Analisis rasio keuangan untuk memprediksi kondisi ﬁnancial distress perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia

(2012) Jurnal Akuntansi Universitas Jember, 10 (2).

Lakshan, A.M.I., Wijekoon, W.M.H.

The Use of Financial Distress. Ratios in Predicting Corprate Failure in Sri Lanka (2013) GSTF Journal on Bussines Review (GBR), 2. .

Pitaya, D.H.A.

(2015) Aplikasi Prediksi Financial Distress Menggunakan Metoda Altman: Studi Pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2010-2013

Doctoral dissertation, Universitas Gadjah Mada

Pranowo, K., Achsani, N.A., Manurung, A.H., Nuryartono, N.

(2010) International Research Journal of Finance and Economics, 52, pp. 81-90. .

Rahmawati, A.I.E., Hadiprajitno, P.B.

(2015) Analisis Rasio Keuangan Terhadap Kondisi Financial Distress pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia tahun 2008-2013

Doctoral dissertation, Fakultas Ekonomika dan Bisnis

Ray, S.

Assessing corporate ﬁnancial distress in automobile industry of India: An application of Altman’s model (2011) Research journal of Finance and Accounting, 2 (3), pp. 155-168. .

11

12

13

14

Cited 2 times

15

16

Cited 5 times

17

18

Determinant of corporate ﬁnancial distress in an emerging market economy:

Empirical evidence from the indonesian stock exchange 2004-2008

Cited 7 times http://www.eurojournals.com/irjfe_52_08.pdf

19

20

Cited 4 times

(6)

Source details

WSEAS Transactions on Business and Economics

Scopus coverage years: from 2009 to 2015, from 2017 to 2019 Publisher: WSEAS Press

ISSN: 1109-9526

Subject area:

Economics, Econometrics and Finance: Economics and Econometrics

Business, Management and Accounting: Organizational Behavior and Human Resource Management Business, Management and Accounting: Strategy and Management

Business, Management and Accounting: Marketing

View all documents

▻

Set document alert



Save to source list Journal Homepage

CiteScore 2018

0.44

Add CiteScore to your site



SJR 2018

0.140 ^

SNIP 2018

0.433 ^

CiteScore CiteScore rank & trend CiteScore presets Scopus content coverage

Calculated using data from 30 April, 2019

CiteScore

*CiteScore includes all available document types

0.44

⁼

Citation Count 2018 Documents 2015 -

2017*

=

Metrics displaying this icon are compiled according to , a collaboration between industry and academia.

2018

^

▻ 34 Citations

▻ 78 Documents

▻

View CiteScore methodology CiteScore FAQ

▻

Last updated on 08 December, 2019

CiteScoreTracker 2019

0.25

⁼

Citation Count 2019 Documents 2016 - 2018

=



Updated monthly

▻ 26 Citations to date

▻ 104 Documents to date

↗

Snowball Metrics

CiteScore rank

Category Rank Percentile

Economics, Econometrics and Finance

#455/592 22nd



Economics and Econometrics

▻

View CiteScore trends

About Scopus

What is Scopus Content coverage Scopus blog Scopus API Privacy matters

Language

⽇本語に切り替える切换到简体中文切換到繁體中文 Русский язык

Customer Service

Help Contact us

Terms and conditions ↗ Privacy policy ↗ Elsevier B.V ↗

Brought to you by Universitas Diponegoro

Search Sources Lists SciVal ↗ Create account Sign in

(7)

1/2/2020 WSEAS Transactions on Business and Economics

https://www.scimagojr.com/journalsearch.php?q=17700156006&tip=sid&clean=0 1/3

also developed by scimago: SCIMAGO INSTITUTIONS RANKINGS

Scimago Journal & Country Rank

Home Journal Rankings Country Rankings Viz Tools Help About Us

WSEAS Transactions on Business and Economics

Country Greece - SIR Ranking of Greece

14

H Index

Subject Area and

Category Business, Management and Accounting Business and International Management Economics, Econometrics and Finance

Economics and Econometrics Finance

Publisher World Scienti c and Engineering Academy and Society (WSEAS) Press Publication type

Journals

ISSN

11099526

Coverage

2009-ongoing

Scope

WSEAS Transactions on Business and Economics publishes original research papers relating to the global economy. We aim to bring important work using any economic approach to a wide international audience and therefore only publish papers of exceptional scienti c value that advance our understanding of nances. The research presented must transcend the limits of case studies, while both experimental and theoretical studies are accepted. While its main emphasis is economic, it is a multi-disciplinary journal and therefore its content mirrors the diverse interests and approaches of scholars involved with the international dimensions of business, economics, nance, history, law, marketing, management, political science, and related areas. It also welcomes scholarly contributions from o cials with government agencies, international agencies, and non-governmental organizations.

Homepage

How to publish in this journal Contact

Join the conversation about this journal

Enter Journal Title, ISSN or Publisher Name

Quartiles

The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.

Category Year Quartile

Business and International Management 2010 Q2

(8)

Category Year Quartile

Business and International Management 2011 Q2

SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scienti c in uence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scienti c in uence of the average article in a journal it expresses how central to the global

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year.

The two years line is equivalent to journal impact factor

™ (Thomson Reuters) metric.

Cites per document Year Value

Cites / Doc. (4 years) 2009 0.000 Cites / Doc. (4 years) 2010 0.735 Cites / Doc. (4 years) 2011 0.899 Cites / Doc. (4 years) 2012 0.287 Cites / Doc. (4 years) 2013 0.508 Cites / Doc. (4 years) 2014 1.000 Cites / Doc. (4 years) 2015 0.654 Cites / Doc. (4 years) 2016 0.500 Cites / Doc. (4 years) 2017 0.526 Cites / Doc. (4 years) 2018 0.597

Total Cites Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.

Journal Self-citation is de ned as the number of citation from a journal citing article to articles published by the same journal.

Cites Year Value

S lf Cit 2009 0

External Cites per Doc Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self- citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cit Y V l

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year International Collaboration

2009 4.08

2010 12 50

Citable documents Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents Year Value

N it bl d t 2009 0

Cited documents Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents Year Value

Uncited documents 2009 0 Uncited documents 2010 29 Uncited documents 2011 58 Uncited documents 2012 79

Show this widget in your own website

Just copy the code below and paste within your html code:

<a href="https://www.scimag Business and International Management

2010 2012 2014 2016 2018

0 0.2 0.4

Cites / Doc. (4 years) Cites / Doc. (3 years) Cites / Doc. (2 years)

2009 2011 2013 2015 2017

0 0.3 0.6 0.9 1.2 1.5

2009 2011 2013 2015 2017

0 50 100

2009 2011 2013 2015 2017

0 0.7 1.4

2009 2011 2013 2015 2017

0 9 18

2009 2011 2013 2015 2017

0 70 140

2009 2011 2013 2015 2017

0 70 140

(9)

Loading comments...

Developed by: Powered by:

Follow us on @ScimagoJR

Scimago Lab, Copyright 2007-2019. Data Source: Scopus®

←

(10)

1/2/2020 wseas.org/wseas/cms.action?id=4016

wseas.org/wseas/cms.action?id=4016 1/2

WSEAS Transactions on Business and Economics

QUICK LINKS

Submit/Revise Paper Paper Format Description

LOGIN Username

Password

Login

Register Forgot Password

WSEAS Transactions on Business and Economics

Print ISSN: 1109-9526 E-ISSN: 2224-2899

Contents:

2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | Pre-2008

Submit a paper | Submission terms | Paper format Publication Ethics and Malpractice Statement

Digital Archiving and Preservation Policy

Acceptance Rate (for the years 2012 to 2018): 23.73%

Acceptance Rate = C/D where: C = the number of accepted papers, D= the number of submitted papers. Withdrawn Papers are not considered for the numbers C and D.

Editorial Board:

Editor-in-Chief

Prof. Michael N. Katehakis

Management Science and Information Systems Department

Rutgers University NJ, USA

E-mail: mkatehakis@gmail.com Profile in Google Scholar

Associate Editors:

Prof. Ricardo Gouveia Rodrigues, University of Beira Interior, Portugal Prof. Fernando Alvarez, University of Chicago, USA

Prof. Biswa Nath Datta, Northern Illinois University, USA Prof. Panos Pardalos, University of Florida, USA

Prof. Gamal Elnagar, University of South Carolina Upstate, Spartanburg, SC, USA

Prof. Jiri Klima, Technical faculty of CZU in Prague, Czech Republic Prof. Goricanec Darko, University of Maribor, Maribor, Slovenia Prof. Mark J. Perry, University of Michigan-Flit, USA

Prof. Ehab Bayoumi, Chalmers University of Technology,Goteborg, Sweden Prof. Igor Kuzle, Faculty of Electrical Engineering and Computing, Zagreb, Croatia

Prof. Glenn Loury, Brown University, USA

Prof. Maria do Rosario Alves Calado, University of Beira Interior, Portugal Prof. Gheorghe-Daniel Andreescu, "Politehnica" University of Timisoara, Romania

Prof. Bharat Doshi, John Hopkins University, Mayrland, USA Prof. Gang Yao, University of Illinois at Urbana - Champaign, USA Prof. Lu Peng, Luisian State University, Baton Rouge, LA, USA

BULLETIN BOARD

Currently:

The editorial board is accepting papers.

WSEAS Main Site Journal Contents Journal Topics Indexes

(11)

QUICK LINKS

LOGIN Username

Password

Login

WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS

Print ISSN: 1109-9526 2224-2899 Volume 16, 2019

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse

order, therefore the most recent one will be on top.

Volume 16, 2019

Information Technology Knowledge Management in the System of Interaction of Educational and Scientific-Production Structures Batova Marina Mikhailovna, Baranova Irina Vyacheslavovna

PDF

WSEAS Transactions on Business and Economics, ISSN / E-ISSN: 1109-9526 / 2224-2899, Volume 16, 2019, Art. #61, pp. 545-551

The Performance of Commercial Banking Industry: How it is Determined?

An Evidence of the Listed Commercial Banks at ADX

Mohammed Ibrahim Sultan Obeidat, Adnan Jawabri, Nadeen

“Mohammed Adnan” Darkal

PDF

Modelling R&D Strategy to Fulfil Customer Demands through Digital Transformation

Denizhan Cay, Nazli Goker, Mehtap Dursun

PDF

IFRS Application and Its Impact on the Accounting Information Quality:

Palestine as a Case Study Tariq Darabee, Aydin Karapinar

PDF

BULLETIN BOARD

Currently:

WSEAS Main Site Journal Contents Journal Topics Indexes

(12)

PDF

Detection Fraudulent Financial Statement: Beneish M-Score Model Soni Agus Irwandi, Imam Ghozali, Faisal, Imang Dapit Pamungkas

PDF

Application of Fuzzy Analytic Hierarchy Process in Prioritizing and Ranking Critical Success Factors of Innovation Startups

Tran Van Trang, Nguyen Quang Vinh, Quang Hung Do

PDF

Financial Distress Prediction in Indonesia

Mochammad Chabachib, Renny Hapsari Kusmaningrum, H. Hersugondo, Imang Dapit Pamungkas

PDF

Code of Ethics versus Annual Report: Analysis of Environmental Disclosures

Pierluigi Santosuosso

PDF

Efficiency and Stochastic Dominance in the European Equity Mutual Fund Market

Pablo Solórzano-Taborga, Ana Belén Alonso-Conde, Javier Rojo-Suárez

PDF

Export Performance: The Role of Product Quality and Market Orientation Noor Hasmini AbdGhani, Nik Kamariah NikMat, Yaty Sulaiman

PDF

An Analysis of Citizens’ Understanding on Sharia Tourism in Pekanbaru City, Indonesia

Zulkifli, Boy Syamsul Bakhri, Muhammad Yusuf

(13)

PDF

The Influence of Information Technology on Innovation Processes for Software Production in Kosovo

Emin Neziraj, Husnija Bibuljica

PDF

Organizational Culture and Employee Performance: An Analysis of a Post- Acquisition

Kusni Ingsih, Sih Darmi Astuti, Ana Kadarningsih

PDF

A Note on Number Theoretic Approach to Credit Creation in Banking and Other Financial Intermediaries

A. G. Shannon, Fazluz Zaman, Tonmoy Choudhury

PDF

Market Orientation on Performance in Indonesian Service Company: The Mediating Role of Service Innovation

Nur Afifah, Ilzar Daud

PDF

The Impact of Quality Management Systems on Financial Liquidity in Companies in Group Purchasing Organizations

Grzegorz Zimon, Dominik Zimon

PDF

Fun at Work and Employee Performance: The Roles of Job Satisfaction and Organizational Commitment in Manufacturing Companies

Indi Djastuti, Susilo Toto Rahardjo, Lala Irviana, Udin Udin

PDF

Potential of Export-Oriented Import Substitution in the Eurasian Economic Union: the Case Study of the Agro-Industrial Complex

Vasily S. Starostin, Veronika Yu. Chernova, Elena A. Fedorenko

(14)

PDF

Natural Catastrophe Models for Insurance Risk Management Pavla Jindrová, Viera Pacáková

PDF

Structures of Revenue, Expenditure, and Welfare of Household Farmers in Kampar Regency, Riau Indonesia

Asrol, Heriyanto

PDF

(15)

The Performance of Commercial Banking Industry:

How it is Determined?

An Evidence of the Listed Commercial Banks at ADX

MOHAMMED IBRAHIM SULTAN OBEIDAT

^1a

, ADNAN -$:$%5,

^1b,

NADEEN “MOHAMMED ADNAN” DARKAL

^2c

1

Business Administration Dept., Al Ain Campus, Al Khawarizmi International College, Al Ain, UNITED ARAB EMIRATES

2

Business Administration Dept., School of Economics and Business, Jadara University, Irbid, JORDAN

a

m.obeidat@khawarizmi.com ,

^b

Adnan.tahir@khawarizmi.com ,

^c

nnnonly@hotmail.com

Abstract: - The study objects for determining whether some selected accounting and marketing-based factors affecting the performance of listed commercial banks at Abu Dhabi Securities Exchange. The performance of commercial banks is measured through Return on Equity (ROE), while five independent variables were examined to determine whether each of them has a significant effect on the performance of commercial banks, including, capital adequacy, bank size, loan ratio, liquidity ratio, and Tobin’s Q. To achieve the objectives of the study, the required data, covering the period 2008-2016, was collected from eight out of 12 listed commercial banks at ADX. Four banks were excluded because no complete information along the period of the study regarding these banks four banks is available. Descriptive statistics are used in data analysis, whereas, simple and multiple linear regression were used in hypotheses testing underline 0.05 predetermined coefficient of significance. The study demonstrates that capital adequacy, bank size, and bank liquidity, each of which, has a significant effect on the performance of commercial banks, whereas, no significant effect had been found for loan ratio and Tobin’s Q.

Key Words: Financial Performance, Bank Size, Capital Adequacy, Liquidity, Loan Ratio, Tobin’s Q.

1 Introduction

The efficiency of commercial banking industry is of high importance for economic growth of different countries [Rashid, 2010]. Commercial banks are considered as the most important component of the financial system of any country and different societies. Five components are normally existing and constructing the countries’ financial system.

These components are financial markets, financial institutions, financial instruments, financial services, and money. Actually, the consideration of these five components reveals that commercial banks play the most important role among the five components of the financial system. Commercial banking industry also plays an important role in money supply, and therefore its existence is important for business organizations and producing units. Let us imagine a society without commercial banks to perceive how much the existence of commercial banks is necessary for purchasing, trading, purchasing, importing, selling, and exporting, especially when raw materials are imported from outside the

boarders and goods are produced to be sold outside the country, and when the seller and buyer are in the same country, but they are far from each other [Brigham and Houston, 2011]. In addition, nobody can deny the role of commercial banking industry in the monetary policy of countries. Furthermore, commercial banks play a vital role in the allocation process of economic resources of most countries, and can activate investments and simplifies and attract more foreign investments [Ongore and Kusa, 2013].

Accepting deposits from those who have excess amounts of cash than their needs, and lending these deposits to those who have less cash than their needed amounts, is the main activity the commercial banks exercise, but many other activities are performed by these banks. Business organizations borrow a large amounts of cash from commercial banks to pay for purchasing assets and other expenses when their net cash flows are less than the required payments. These borrowings may be short- term or long term borrowings, depending on cash

WSEAS TRANSACTIONS on BUSINESS and ECONOMICS Mohammed Ibrahim Sultan Obeidat, Adnan Jawabri, Nadeen “Mohammed Adnan” Darkal

E-ISSN: 2224-2899 532 Volume 16, 2019

(16)

Rev., vol. 77, 2002, pp. 35–59.

[19] Francis, J., LaFond, R., Olsson, P., and Schipper, K. “Costs of Capital and Earnings Attributes,” SSRN Electron. J., vol. 79, no. 4, 2004, pp. 967–1010.

[20] Eliwa, Y., Haslam, J., and Abraham, S. “The association between earnings quality and the cost of equity capital: Evidence from the UK,” Int. Rev. Financ. Anal., vol. 48, 2016, pp. 125–139.

[21] Abu-sharbeh, T. “The nature of accounting standards used in the Palestinian financial reporting,” J. Arab Am. Univ., vol. 3, 2017, no. 1, pp. 1–38.

[22] Palestine Securities Exchange, “Disclosure Regulation,” 2007.

[23] “Palestinian Association of Certified Public Accountant (PACPA)” PACPA profile, 2019.Available:http://www.pacpa.ps/page.ph p?id=cqGINmydyKa4755AXG3ZgobCeM.

[Accessed: 01-Jul-2019].

[24] “Palestine Capital Market Authority (PCMA)” Historical Overview, Availableat:https://www.pcma.ps/portal/engl ish/CMA/Pages/Historical-Overview.aspx, 2019.

[25] “Palestine Monetary Authority (PMA)”

About PMA, Available at:

http://www.pma.ps/Default.aspx?tabid=185

&language=en-US. 2019.

[26] Devalle, A., Magarini, R., and Onali, E.

“Assessing the Value Relevance of Accounting Data after IFRS Introduction in Europe,” J. Int. Financ. Manag. Account., vol. 21, no. 2, 2010, pp. 85–119

[27] Kim, J. B., and Shi, H. “IFRS reporting, firm-specific information flows, and institutional environments: International evidence,” Rev. Account. Stud., vol. 17, no.

3, 2012, pp. 474–517.

[28] Müller, V. O. “The impact of IFRS adoption on the quality of consolidated financial reporting,” Procedia - Soc. Behav. Sci., vol.

109, 2014, pp. 976–982.

[29] Cutillas-Gomariz, M. F., Sánchez-Ballesta, J.

P., and Yagüe, J. “The effects of IFRS on net income and earnings components: value relevance, persistence, and predictive value,”

Spanish J. Financ. Account. / Rev. Española Financ. y Contab., vol. 45, no. 3, 2016, pp.

365–388.

[30] Kabir, H., and Laswad, F. “The impact of improvements in institutional oversight on IFRS accrual quality in Europe,” Aust.

Account. Rev., vol. 25, no. 4, 2015, pp. 428–

444. [31] Perafán Peña, H. F., and Franco, J. B.

“Impact of IFRS on the quality of financial information in the United Kingdom and France: Evidence from a new perspective,”

Intang. Cap., vol. 13, no. 4, 2017, pp. 850–

878. [32] Hwang, I. T., Hur, K. S., and Kang, S. M.

“Does the IFRS effect continue? An international comparison,” Sustain., vol. 10, no. 12, 2018.

[33] Oz, I. O., and Yelkenci, T. “Examination of real and accrual earnings management: A cross-country analysis of legal origin under IFRS,” Int. Rev. Financ. Anal., vol. 58, 2018, pp. 24–37.

[34] Ismail, W. A. W., Kamarudin, K. A., Van Zijl, T., and Dunstan, K. “Earnings quality and the adoption of IFRS-based accounting standards: Evidence from an emerging market,” Asian Rev. Account., vol. 21, no. 1, 2013, pp. 53–73.

[35] Chebaane, S., and Othman, H. Ben. “The impact of IFRS adoption on value relevance of earnings and book value of equity: the case of emerging markets in African and Asian regions,” Procedia - Soc. Behav. Sci., vol. 145, 2014, pp. 70–80.

[36] Black, R., and Nakao, S. H. “Heterogeneity in earnings quality between different classes of companies after IFRS adoption: evidence from Brazil,” Rev. Contab. Finanças, vol.

28, no. 73, 2017, pp. 113–131.

[37] Rodríguez García, M. del P., Cortez Alejandro, K. A., Méndez Sáenz, A. B., and Garza Sánchez, H. H. “Does an IFRS adoption increase value relevance and earnings timeliness in Latin America?,”

Emerg. Mark. Rev., vol. 30, 2017, pp. 155–

168. [38] Lin, S., Riccardi, W., and Wang, C. “Does accounting quality change following a switch from U.S. GAAP to IFRS? Evidence from Germany,” J. Account. Public Policy, vol.

31, no. 6, 2012, pp. 641–657.

[39] Ahmed, A. S., Neel, M., and Wang, D.

“Does mandatory adoption of IFRS improve accounting quality? Preliminary evidence,”

Contemp. Account. Res., vol. 30, no. 4, , 2013 pp. 1344–1372.

[40] Li, X., and Yang, H. I. “Mandatory financial reporting and voluntary disclosure: The effect of mandatory IFRS adoption on management forecasts,” Account. Rev., vol.

91, no. 3, 2016, pp. 933–953.

WSEAS TRANSACTIONS on BUSINESS and ECONOMICS Tariq Darabee, Aydin Karapinar

E-ISSN: 2224-2899 523 Volume 16, 2019

(17)

Approximation of Minimum Initial Capital of the Discrete Time Surplus Process using Separated Claim Technique for Motor

Insurance

SOONTORN BOONTA Faculty of Science and Engineering

Kasetsart University Muang, Sakon Nakhon

THAILAND soontorn.bo@ku.th

WATCHARA TEPAROS Faculty of Science and Engineering

Kasetsart University Muang, Sakon Nakhon

THAILAND watchara.tha@ku.th

Abstract: - In this paper, we compute what minimum initial capital an insurance company has to hold to ensure that the ruin probability (insolvency probability) is not greater than the given quantity of the discrete time surplus process using separating claim technique. 365 claims of motor insurance are separated into standard and large claims. The criteria of separation is at the 80th percentile; if claim is less than or equal the 80th percentile, it is called standard claim and claim is called large claim if it is greater than the 80th percentile. We also perform some simulations to estimate the ruin probability as well as calculate the minimum initial capital using regression analysis.

Key-Words: - ruin probability, discrete time surplus process, minimum initial capital.

1 Introduction

The basic knowledge of a surplus process of non- life insurance can be defined as

Surplus = Initial capital + Income – Outflow.

For the classical surplus process, we consider claim Y

n

occurred and the time T

_n

such that 0   T

₁

T

₂

 ... . The discrete time surplus process is defined by

0 1

, ,

n

n n k

k

U u cT Y U u n



      ⁽¹⁾

where u  0 is initial capital, c  0 is premium rate.

Nyrhinen (2001), Cai and Dickson (2004), and Gao, et al. studied the discrete time surplus process in cooperating a constant interest rate

r

in order to obtain the upper bound of the ruin probabilities by constructing the corresponding Lundberg’s bounds for the ruin probabilities. The surplus process is of the form

1

(1 ) ,

0

,

n n n

U  U

_

  r Y U  u n  (2)

where

r

is a constant interest rate.

Chan and Zhang (2006) studied the discrete time surplus process (1) under the assumption that

n

,

T  n n  and a set of claims { , Y n

_n

 } is independent and identically distributed (i.i.d.). They proposed the recursive and explicit formulas of ruin probability with only exponential and geometric claim. Sattayatham et al. (2013) generalized the model of Chan and Zhang that { , Y n

_n

 } is i.i.d. but not necessary a set of exponential or geometric claims. Since the formula of ruin probability was difficult to find explicitly, they proposed the ruin probability in the recursive form and applied Newton-Raphson method to compute the minimum initial capital.

We observe that model of Chan and Zhang did not include the interest rate

r

in the model and according to the model (2) of Nyrhinen, Cai and Dickson that they were not able to express the ruin probabilities explicitly. In this paper, we want to

WSEAS TRANSACTIONS on BUSINESS and ECONOMICS Soontorn Boonta, Watchara Teparos

E-ISSN: 2224-2899 496 Volume 16, 2019

(18)

QUICK LINKS

LOGIN Username

Password

Login

Paper Format

All authors are kindly requested to download the format sample of their choice and prepare their contributions accordingly. It should be noted that papers must be written in exact WSEAS format before they are uploaded to the journal, as this contributes to the best appeareance of the volume. If the final version of a paper is considerably different to the desired format, it will not be published even if it is accepted.

Therefore, before you submit your paper please make sure that it looks exactly like the image below:

Frequent mistakes that should be avoided:

Single column format is not accepted; Only the abstract & keywords should be in a single column, and possibly some large pictures at the end of the paper as an Appendix

Very narrow or very wide margins are to be avoided

The title should not be written entirely in capital letters, as opposed to the authors' names that should

The authors' names should be written as such: {FIRST NAME} {FAMILY NAME} as opposed to vice versa and their titles cannot be included. For instance, JOHN SMITH instead of Professor Smith, John

The document should be displayed in A4 pages, not Letter or other size No page numbers or other Headers or Footers are allowed

Paragraphs must have single line spacing Samples:

Microsoft Word Sample

LaTeX Sample (please convert to .doc, .docx or .rtf before uploading)

BULLETIN BOARD

Currently:

WSEAS Main Site

Journal Contents Journal Topics Indexes

--- \,^-----r - Universitas Diponegoro

c.

d.

ILMIAH

ILMIAH

a.

Jurnal :

b.

ISSN :

:

:

e.

artikel

f. Alamatweb :

jurnal

l4

fr1

[t

n

Total =

1.

(skor

2.

3.

4.

Semarang,

.-a?

--- \,^---r '-*.-*_-) -(''

REYIEV

penulis '

ILMIAH

ILMIAH

a.

b.

c.

d.

tfi9-9526

f71

tl

Total =

:

1.

:

2.

(skor:

3.

=

4.

=

Review, \ \

/t I

II

lrurn Vtloruli,

Akt.,

NrP.

I

Document details

References (20)

Financial distress prediction in Indonesia

Abstract

SciVal Topic Prominence

Author keywords











⋆

▻

View references (20)











FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY

Metrics

Cited by 0 documents

Related documents

Brought to you by Universitas Diponegoro

--- \,^---r _{'-.-_-)} -(''

Review, \ _\

0.140 ^

0.433 ^