Results 61 to 70 of about 18,168,283 (240)

Prevalence of insulin dysregulation in a sport horse population as determined by traditional and stall‐side testing

Equine Veterinary Journal, EarlyView.
Abstract Background The prevalence of insulin dysregulation (ID) has not been investigated in sport horses. Stall‐side insulin assays offer convenience but need further validation. Objectives To determine the prevalence of and risk factors for ID in a sport horse population using an oral sugar test (OST) and assess agreement between stall‐side and ...
Kimberly L. Hallowell, Caitlyn R. Horne, Cary S. Miller, Sara R. Tufts, Katarzyna Dembek, Kim R. Love, Andrew W. van Eps, Lauren V. Schnabel   +7 more
wiley   +1 more source

Relationship between the Altman Z Score and Stock Prices of Indian Manufacturing Firms [PDF]

PurposeThis study investigates the relationship between the Altman Z-Score and stock prices of Indian manufacturing firms to evaluate its efficacy as a predictor of financial distress and aid in investment decision-making.
Nigam, Raunak, Roy, Aayush
core   +1 more source

Artificial intelligence and liquidation: Reality, destiny and fantasy

International Insolvency Review, EarlyView.
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley   +1 more source

NALISIS RASIO KEUANGAN TERHADAP KONDISI FINANCIAL DISTRESS MENGGUNAKAN METODE ALTMAN Z-SCORE, SPRINGATE S-SCORE DAN ZMIJEWSKI X-SCORE (Studi pada Bank Umum Syariah Periode 2017 – 2021) [PDF]

, 2023
Jenis penelitian yang digunakan adalah deskriptif verifikatif dengan menggunakan regresi data panel yang diolah oleh aplikasi EViews 12 SV. Populasi dan sampel dalam penelitian ini sebanyak 10 Bank Umum Syariah selama Periode 2017-2021.
Citra Furqan Amimi, CFA
core   +1 more source

Developing a Z‐ESG Score Model for Assessing Corporate ESG Performance

International Journal of Finance &Economics, EarlyView.
ABSTRACT In this study we develop a novel, unique ESG rating model that exploits the logic of the Z‐score by Altman (1968) to discriminate between ESG performing and non‐ESG performing firms using indicators of ESG performance for each of the three pillars (Environmental, Social, Governance) in place of financial ratios.
Edward I. Altman, Francesco Baldi, Claudia D'Ippolito, Antonio Salvi   +3 more
wiley   +1 more source

Comprehensive financial health assessment using Advanced machine learning techniques: Evidence based on private companies listed on ChiNext.

PLoS ONE
This study develops a specific and measurable framework for assessing the financial health (FH) of privately-owned companies listed on ChiNext, aimed at identifying financially sound enterprises and helping investors avoid losses caused by financial ...
Wen Zhu, Meiling Li, Chengcheng Wu, Shanqiu Liu   +3 more
doaj   +1 more source

SubDIVIDE: Efficient tensor‐valued diffusion magnetic resonance imaging via joint diffusional variance decomposition modeling and subspace reconstruction

Journal of Intelligent Medicine, EarlyView.
SubDIVIDE integrates a physics‐consistent DIVIDE subspace directly into MRI reconstruction. By embedding a low‐rank basis derived from a large DIVIDE signal dictionary into a joint ADMM optimization—together with composite sensitivity maps that absorb inter‐b‐value phase errors—the framework recovers quantitative microstructural maps from highly ...
Cheng Yang, Jingguo Yan, Zihan Zhou, Zhong Xue, Qiuyun Fan   +4 more
wiley   +1 more source

SparGlu: A sparse‐data evaluation framework for gated recurrent unit‐based blood glucose prediction across varying monitoring intervals

Journal of Intelligent Medicine, EarlyView.
A sparse‐aware GRU model accurately predicts blood glucose levels using downsampled and limited data, achieving clinically safe forecasts even under low‐monitoring conditions. By effectively capturing glucose dynamics through residual learning, the model supports personalized diabetes self‐management, offering a practical solution for resource‐limited ...
Genet Tadese Aboye, Jasper Gielen, Gizeaddis Lamesgin Simegn, Jean‐Marie Aerts   +3 more
wiley   +1 more source

Downside risk applied to bankruptcy predicting models

Cogent Economics & Finance
This study investigates the effectiveness of business failure prediction models for Pakistani companies. The research examines three well-known models: Altman’s Z-Score, Ohlson’s O-Score and Shumway’s hazard model.
Usama Saleem, Umara Noreen, Attayah Shafique, Nevi Danila   +3 more
doaj   +1 more source

Bankruptcy Practice in Countries of Visegrad Four

Economics and Culture, 2017
Numerous economists and analysts from all over the world have been trying to find an appropriate method to assess company health and to predict its eventual financial distress for many years.
Misankova Maria, Zvarikova Katarina, Kliestikova Jana   +2 more
doaj   +1 more source