|
|
|
|
|
Amal Al Ali, Ahmed M. Khedr, Magdi El Bannany and Sakeena Kanakkayil
Despite the obvious benefits and growing popularity of Machine Learning (ML) technology, there are still concerns regarding its ability to provide Financial Distress Prediction (FDP). An accurate FDP model is required to avoid financial risk at the lowes...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Sharik Essa and Evangelos Giouvris
The study investigates the impact of financial distress (credit spread) and liquidity crises (TED spread) on size, value, profitability, investment and momentum premiums within the US Real Estate Investment Trust market. Using daily data from 2001 to 202...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rana Raihana Aksara, Rita Martini, Firmansyah Firmansyah, Sukmini Hartati
Pág. 125 - 136
Analisis potensi kesulitan keuangan dalam industri penerbangan yang terdaftar di Bursa Efek Indonesia dengan menggunakan model Altman (Z-Score), model Springate (S-Score), model Zmijewski (X-Score), dan Model Grover (G-Score) ditujukan untuk menentukan p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mega Barokatul Fajri,Guruh Marhaenis Handoko Putro,Jennifer Farihatul Bait,Ira Megasyara
Pág. 21 - 42
This research aims to analyze each of the operational and financial factors that can be used as variables influencing decisions and the intensity of hedging. There are two test analysis model used in this study, the first to test the company decision to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Timotej Jagric, Daniel Zdol?ek, Robert Horvat, Iztok Kolar, Niko Erker, Jernej Merhar and Vita Jagric
Financial innovation, green investments, or climate change are changing insurers? business ecosystems, impacting their business behaviour and financial vulnerability. Supervisors and other stakeholders are interested in identifying the path toward deteri...
ver más
|
|
|
|
|
|
|
|
|
|
|
Noviani Noviani, Nor Norisanti, Erry Sunarya
Pág. 1458 - 1467
Retail sector in Indonesia is currently suffering a decrease like the lowering of revenue and the closing of their outlets. This research aims to determine the effect of Human Capital Efficiency, Structural Capital Efficiency and Capital Employed Efficie...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eddo Mochammad Kareem, Didit Supriyadi, Sri Suartini
Pág. 1106 - 1121
This study aims to determine and analyze the effect of financial performance in the form of banking ratios CAR, NPL, ROA, ROE and LDR on financial distress in banking companies listed on the Indonesia Stock Exchange for the 2016-2020 period. The sample u...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruth Citra Lumbantobing, Namira Ufrida Rahmi, Nurhetty Nababan, Debora Sinaga
Pág. 1316 - 1327
The aim of the researchers conduct research to examine how the influence of financial distress, leverage, capital intensity, and profitability on accounting conservatism. The population of 79 companies and 90 samples has been multiplied by three years, a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chien-Min Kang, Ming-Chieh Wang and Lin Lin
In response to relatively little evidence on the determinants of the financial distress in cooperative financial institutions (e.g., Credit Unions), this paper proposes a distress indicator of Merton Distance to default (Merton DD), which was constructed...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiseok Jeong and Changwan Kim
A method for predicting the financial status of construction companies after a medium-to-long-term period can help stakeholders in large construction projects make decisions to select an appropriate company for the project. This study compares the perfor...
ver más
|
|
|
|
|
|