Open Access
| Issue |
SHS Web Conf.
Volume 83, 2020
Current Problems of the Corporate Sector 2020
|
|
|---|---|---|
| Article Number | 01025 | |
| Number of page(s) | 8 | |
| Section | Economics, Management and Finance | |
| DOI | https://doi.org/10.1051/shsconf/20208301025 | |
| Published online | 30 October 2020 | |
- E. Hyránek, M. Grell, L. Nagy, I. Ďurinová, The Economic-mathematical Nature of the HGN Model Concept as a Tool for Measuring Performance of Enterprises. Ekonomický časopis 66, 3, 309-325. (2018). [Google Scholar]
- E. Hyránek, M. Grell, L. Nagy, Nové trendy merania výkonnosti podniku pre potreby finančných rozhodnutí. Bratislava, Ekonóm (2014). [Google Scholar]
- E. Hyránek, M. Grell, L. Nagy, I. Implementácia modelu výkonnosti vo finančnom rozhodovaní podniku: model HGN ako nástroj finančného plánu. Praha, Nakladatelství Baset (2017). [Google Scholar]
- M. Grell, E. Hyránek, P Maticové modely na meranie výkonnosti produkčných systémov. E a M: Ekonomie a Management 15, 1, 73-87 (2012). [Google Scholar]
- B. Gavurova, et al, (2017). Predictive potential and risks of selected bankruptcy prediction models in the Slovak business environment. Journal of Business Economics and Management 18, 6, 1156-1173. (2017). [CrossRef] [Google Scholar]
- R. Delina, M. Packová, Prediction Bankruptcy models validation in Slovak business environment. E a M: Ekonomie a Management 16, 3, 101-112 (2013). [Google Scholar]
- E. I. Altman, Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance 23, 4, 589-609 (1968). [CrossRef] [Google Scholar]
- E. I. Altman, M. Iwanicz‐Drozdowska, E. K. Laitinen, A. Suvas, Financial distress prediction in an international context: A review and empirical analysis of Altman’s Z‐score model. Journal of International Financial Management & Accounting 28, 2, 131-171 (2017). [CrossRef] [Google Scholar]
- E. I. Altman, E. I., A. Saunders, Credit risk measurement: Developments over the last 20 years. Journal of banking & finance 21 (11-12 (1997). [Google Scholar]
- S. Ashraf, E. GS Félix, Z. Serrasqueiro, Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress? Journal of Risk and Financial Management 12, 2, 55 (2019). [CrossRef] [Google Scholar]
- J. Brown, D. A. Matsa, Boarding a sinking ship? An investigation of job applications to distressed firms. The Journal of Finance 71, 2, 507-550 (2019). [CrossRef] [Google Scholar]
- P. Bolton, N. Wang, J. Yang, Optimal contracting, corporate finance, and valuation with inalienable human capital. The Journal of Finance 74, 3, 1363-1429 (2019). [CrossRef] [Google Scholar]
- M. Jain, Y. Karmakar, Capital structure: An empirical study of choices and strategies for Indian service sector companies. Finance India 32, 4, 1227-1252. (2018). [Google Scholar]
- S. Mithas, A. Tafti, , I. Bardhan J. M. Goh, Information technology and firm profitability: mechanisms and empirical evidence. MIS Quarterly 36, 1, 205-224 (2012). [CrossRef] [Google Scholar]
- K. Merkley, R. Michaely, J. Pacelli, Does the scope of the sell‐side analyst industry matter? An examination of bias, accuracy, and information content of analyst reports. The Journal of Finance 72, 3, 1285-1334 (2017). [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.