Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Martina Mokrišová"'
Publikováno v:
Information, Vol 15, Iss 6, p 355 (2024)
Diagnosing the financial health of companies and their performance is currently one of the basic questions that attracts the attention of researchers and experts in the field of finance and management. In this study, we focused on the proposal of mod
Externí odkaz:
https://doaj.org/article/76110b433623424a8ff49523a57c9716
Publikováno v:
Mathematics, Vol 11, Iss 24, p 4966 (2023)
Various methods are used when building bankruptcy prediction models. New sophisticated methods that are already used in other scientific fields can also be applied in this area. Graph theory provides a powerful framework for analyzing and visualizing
Externí odkaz:
https://doaj.org/article/aea35c06063f4a318fafb57aab598f7e
Autor:
Martina Mokrišová, Jarmila Horváthová
Publikováno v:
Risks, Vol 11, Iss 11, p 199 (2023)
Predicting the risk of corporate bankruptcy is one of the most important challenges for researchers dealing with the issue of financial health evaluation. The risk of corporate bankruptcy is most often assessed with the use of early warning models. T
Externí odkaz:
https://doaj.org/article/18fd2617618c4a65a55bb80cd2abc6af
Publikováno v:
Management Science Letters, Vol 9, Iss 9, Pp 1321-1340 (2019)
The paper addressed the following research problem: Is the DEA (Data Envelopment Analysis) a suitable method of measuring and improving the performance of a company? Is it possible to calculate the goal values of the key performance indicators based
Externí odkaz:
https://doaj.org/article/4da6410a09ac4bb4bcd90112b1d4703f
Publikováno v:
Information, Vol 12, Iss 12, p 505 (2021)
This paper focuses on the financial health prediction of businesses. The issue of predicting the financial health of companies is very important in terms of their sustainability. The aim of this paper is to determine the financial health of the analy
Externí odkaz:
https://doaj.org/article/1669fa9975aa4f61837c90116f51a27c
Autor:
Jarmila Horváthová, Martina Mokrišová
Publikováno v:
Information, Vol 11, Iss 3, p 160 (2020)
This paper focuses on business financial health evaluation with the use of selected mathematical and statistical methods. The issue of financial health assessment and prediction of business failure is a widely discussed topic across various industrie
Externí odkaz:
https://doaj.org/article/9a86f88855214f98ad9a776bd05e3f2a
Autor:
Jarmila Horváthová, Martina Mokrišová
Publikováno v:
Risks, Vol 6, Iss 4, p 117 (2018)
In this paper, the following research problem was addressed: Is DEA (Data Envelopment Analysis) method a suitable alternative to Altman model in predicting the risk of bankruptcy? Based on the above-mentioned research problem, we formulated the aim o
Externí odkaz:
https://doaj.org/article/b8083e82c9354d8092530a703aae9129
Autor:
Jarmila Horváthová, Martina Mokrišová
Recently, the demand of business owners to ensure the sustainability of their businesses has come to the fore. It results in a focus on identifying the risks of businesses' financial failure. Several prediction models can be applied in a given area.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea407ff7b124a9de8157941baf676fb5
https://doi.org/10.4018/978-1-7998-8609-9.ch008
https://doi.org/10.4018/978-1-7998-8609-9.ch008
Publikováno v:
Management Science Letters, Vol 9, Iss 9, Pp 1321-1340 (2019)
The paper addressed the following research problem: Is the DEA (Data Envelopment Analysis) a suitable method of measuring and improving the performance of a company? Is it possible to calculate the goal values of the key performance indicators based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70afabac0511f92e65e9082119129904
http://www.growingscience.com/msl/Vol9/msl_2019_130.pdf
http://www.growingscience.com/msl/Vol9/msl_2019_130.pdf
Publikováno v:
Risks; Volume 10; Issue 9; Pages: 171
Estimating outstanding claims reserves in the non-life insurance business is often impaired by outlier-contaminated datasets. Widely used methods to eliminate outliers in non-life development triangles are either limiting the number of outliers by ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43dcce33d3629b320fe65fe1ebd6f5db
https://doi.org/10.3390/risks10090171
https://doi.org/10.3390/risks10090171