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Use of neural networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate

Rowland, Zuzana - In: Risks 9 (2021) 1, pp. 1-21

detail. The aim of this contribution is to present a methodology based on neural networks that takes into consideration …

Persistent link: https://www.econbiz.de/10013200671

Consumer bankruptcy prediction using balanced and imbalanced data

Brygała, Magdalena - In: Risks 10 (2022) 2, pp. 1-13

imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical …

Persistent link: https://www.econbiz.de/10013200915

Churn management in telecommunications: Hybrid approach using cluster analysis and decision trees

Pejić Bach, Mirjana; Pivar, Jasmina; Jaković, Božidar - In: Journal of Risk and Financial Management 14 (2021) 11, pp. 1-25

structure. The proposed approach is continuous since the results of market segmentation and rules for churn prediction can be …

Persistent link: https://www.econbiz.de/10013201227

Can the risky investment game predict real world investments?

Holden, Stein Terje; Tilahun, Mesfin - 2022

The incentivized risky investment game has become a popular tool in lab-in-the-field experiments for its simplicity and ease of comprehension compared to some of the more complex Multiple Choice List approaches that have been more commonly used in laboratory experiments. We use a field...

Persistent link: https://www.econbiz.de/10013329992

Predicting changes in Bitcoin price using grey system theory

Faghih, Mahboubeh Mohammadi Jalali; Heidari, Hanif - In: Financial Innovation 6 (2020) 1, pp. 1-12

Bitcoin is currently the leading global provider of cryptocurrency. Cryptocurrency allows users to safely and anonymously use the Internet to perform digital currency transfers and storage. In recent years, the Bitcoin network has attracted investors, businesses, and corporations while...

Persistent link: https://www.econbiz.de/10012602849

Equalizing seasonal time series using artificial neural networks in predicting the Euro-Yuan exchange rate

Vochozka, Marek; Horák, Jakub; Šuleř, Petr - In: Journal of Risk and Financial Management 12 (2019) 2, pp. 1-17

, while affecting it significantly in the short run. However, prediction of the exchange rate is very complicated. In this … valuable results in a number of research programs. This contribution aims to propose a methodology for considering seasonal …

Persistent link: https://www.econbiz.de/10012611122

Cross-country application of manufacturing failure models

Tomczak, Sebastian Klaudiusz; Staszkiewicz, Piotr - In: Journal of Risk and Financial Management 13 (2020) 2, pp. 1-10

applied in other economies. One of the characteristics of the prediction model is that a date drives the estimation. Thus, the … application of the prediction models to cross-economies' consolidated financial statements is biased. …

Persistent link: https://www.econbiz.de/10012611250

The predictability of the exchange rate when combining machine learning and fundamental models

Zhang, Yuchen; Hamori, Shigeyuki - In: Journal of Risk and Financial Management 13 (2020) 3, pp. 1-16

prediction performance of random walk without drift. More specifically, this paper applies the random forest, support vector …

Persistent link: https://www.econbiz.de/10012611273

Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison

Horák, Jakub; Vrbka, Jaromir; Suler, Petr - In: Journal of Risk and Financial Management 13 (2020) 3, pp. 1-15

Bankruptcy prediction is always a topical issue. The activities of all business entities are directly or indirectly …

Persistent link: https://www.econbiz.de/10012611289

Predictions of crowdfunding campaign success: The influence of first impressions on accuracy and positivity

Schraven, Etienne; van Burg, Elco; van Gelderen, Marco; … - In: Journal of Risk and Financial Management 13 (2020) 12, pp. 1-16

prediction accuracy in both conditions is equal, yet shorter time availability results in assessments that are more negative. We …

Persistent link: https://www.econbiz.de/10012611558