Variable selection and corporate bankruptcy forecasts

By Shaonan Tian, Yan Yu, Huidong Guo. 2015

239 citations recorded by the source corpus.

Subfields: Accounting, Artificial Intelligence, Finance

View Paper: https://www.semanticscholar.org/paper/33a9b9dd9b168f5f633673c16a2e65356bcb68d9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Tomas Kliestik
2. Katarína Valášková
3. M. Kováčová
4. George Cristian Lazaroiu
5. J. Vrbka

In Artificial Intelligence

1. Peter Adamko
2. Tomas Kliestik
3. Katarína Valášková
4. M. Kováčová
5. George Cristian Lazaroiu
6. J. Vrbka

Citations in the corpus

• Remaining Financially Healthy and Competitive: The Role of Financial Predictors (2020, background): “…Republic (Kliestik et al., 2018), the authors focused on indicators determined by prominent authors as key predictors of financial health and analyzed studies and researches of Sharifabadi et al. (2017); Tian et al. (2015), Bellovary et al. (2007), Ravi & Ravi (2007) and Dimitras et al. (1996).”
• Financial Risk Measurement and Prediction Modelling for Sustainable Development of Business Entities Using Regression Analysis (2018, result): “[65] consider in their study 39 financial and market variables as candidate bankruptcy predictors, 85% of them are similar to independent variables used in our study.”