scholarly journals Z-score Model on Financial Crisis Early-Warning of Listed Real Estate Companies in China: a Financial Engineering Perspective

2012 ◽  
Vol 3 ◽  
pp. 153-157 ◽  
Author(s):  
Wang Yi
Keyword(s):  
Financial Crisis ◽  
Real Estate ◽  
Early Warning ◽  
Financial Engineering ◽  
Z Score ◽  
Score Model

scholarly journals The Application of Altman’s Z-Score Model in Predicting Bankruptcy: Evidence from the Trading Sector in Sri Lanka

2015 ◽  
Vol 10 (12) ◽  
pp. 269 ◽  
Author(s):  
Aloy Niresh J. ◽  
Pratheepan T.
Keyword(s):  
Sri Lanka ◽  
Early Warning ◽  
Financial Distress ◽  
Safe Zone ◽  
Grey Zone ◽  
Z Score ◽  
Financial Reports ◽  
Financial Position ◽  
Score Model

Prediction of bankruptcy is crucial as the early warning may change entire complications and may avoid the high cost that is associated with distress. The main purpose of this study is to examine the likelihood of bankruptcy of the firms belonging to the Trading Sector in Sri Lanka. The research used data from the financial reports of seven trading companies for a period of the last five years from 2010 to 2014. Altman’s original (1968) bankruptcy model has been applied in order to classify the companies in various levels of financial position namely safe, grey and distress. Findings reveal that 71% of the companies belonging to the Trading Sector were in financial distress and the rest of whole 29% were in the grey zone. The fact that none of the companies lie under the safe zone highlights that as a whole the sector is in a menace.

scholarly journals Financial Crises in State Owned and Private Commercial Banks in Bangladesh: A Comparative Analysis

2019 ◽  
Vol 9 (2) ◽  
pp. 146
Author(s):  
Kawsar Jahan ◽  
Mohammod Akbar Kabir ◽  
Farjana Nur Saima ◽  
Md. Nasim Adnan
Keyword(s):  
Financial Crisis ◽  
Financial Crises ◽  
Commercial Banks ◽  
Banking Sector ◽  
Stock Exchange ◽  
Least Square ◽  
Z Score ◽  
Ordinary Least Square ◽  
History Of ◽  
Score Model

Recently the performance of banking industry is one of the much talked issues in the history of Bangladesh. Predicting the factors of financial crises in banks is very much important as this sector is facing a crises moment now. This study examined the driving factors of financial crises in banking sector using panel data consisted of five year observations (2012-2016) for each of 28 PCBs listed in Dhaka Stock Exchange (DSE) and 6 State-Owned Commercial Banks (SCBs). Financial crisis is measured by Altman’s Z-score and Pooled Ordinary Least Square (Pooled OLS) has been applied to find out the factors necessary to condense financial crisis in banks.The study found that SCBs and listed PCBs in Bangladesh are facing financial crisis on the basis of Altman’s Z-score model. Results of the analysis postulated that CRAR, NIIR and NINTR significantly contribute to lessen financial crisis in listed PCBs and also in SCBs. Therefore, the study suggests the regulatory authorities, including stakeholders and researchers to taking into account the findings of the study and to be more alert of the operations of SCBs and PCBs in order to steps forward the performance of this sector as well development of the country in the coming future.

scholarly journals PENILAIAN KINERJA KEUANGAN DAN KAITANNYA DENGAN PERUBAHAN HARGA SAHAM PERUSAHAAN PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2013-2015

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Nurasia Nurasia ◽  
Sri Andriani ◽  
Rian Piarna
Keyword(s):  
Real Estate ◽  
Random Effect ◽  
Z Score ◽  
Score Model

Penelitian ini bertujuan untuk mengetahui kinerja keuangan perusahaan dalam subsektor properti dan real estate yang terdaftar di Bursa Efek Indonesia (BEI) dengan menggunakan altman Z-Score dan perbedaan harga saham untuk perusahaan dengan kategori sehat dan tidak sehat. Selain itu penelitian ini juga bertujuan untuk mengetahui pengaruh rasio yang ada dalam Altman Z-Score terhadap harga saham. Metode analisis yang digunakan yaitu metode kuantitatif deskriptif menggunkan Altman Z-Score Model untuk mengetahui kinerja keuangan perusahaan dan untuk mengetahui hubungan rasio-rasio dalam Altman Z-Score terhadap harga saham menggunakan metode data panel dengan pendekatan random effect. Hasil penelitian menunjukkan dari 33 sampel yang digunakan didapatkan bahwa pada 2013 sebanyak 58% perusahaan dinyatakan sehat, 24% perusahaan dinyatakan kritis dan 18% lainnya dikategorikan tidak sehat. Pada 2014, 73% dinyatakan sehat 18% dinyataka kritis dan 9% mendapat predikat tidak sehat. Sementara pada 2015 turun menjadi 70% perusahaan dinyatakan sehat. Perusahaan-perusahaan yang memperoleh predikat kritis pada 2015 adalah 18%, perusahaan yang mendapat perdikat tidak sehat sebanyak 12%. Selain itu ada perbedaan harga saham antara perusahaan yang dikategorikan sehat dan tidak sehat. Kaitannya terhadap harga saham menunjukkan bahwa variabel WCTA tidak berpengaruh signifikan terhadap harga saham, RETA berpengaruh signifikan terhadap harga saham, EBITTA dan BVEBVD tidak berpengaruh signifikan terhadap harga saham. Secara simultan WCTA, RETA, EBITTA dan BVEBVD berpengaruh terhadap harga saham akan tetapi hanya 28.20% variasi harga saham dapat dipengaruhi oleh variasi WCTA, RETA, EBITTA, dan BVEBVD secara bersama-sama. Kata Kunci: Kinerja keuangan, perubahan harga saham, Altman Z-Score, Perusahaan properti dan real estate, Bursa Efek Indonesia

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