Narrow search
Showing 1 - 10 of 318
Cover Image
Ensemble learning or deep learning? Application to default risk analysis
Hamori, Shigeyuki; Kawai, Minami; Kume, Takahiro; … - In: Journal of Risk and Financial Management 11 (2018) 1, pp. 1-14
Proper credit-risk management is essential for lending institutions, as substantial losses can be incurred when borrowers default. Consequently, statistical methods that can measure and analyze credit risk objectively are becoming increasingly important. This study analyzes default payment data...
Persistent link: https://www.econbiz.de/10012611000
Cover Image
Sachsen und seine internationalen Gäste – Wo kommen sie her?
Rauch, Carolin - In: ifo Dresden berichtet 20 (2013) 1, pp. 32-38
Die Tourismusstrategie Sachsen 2020 legte im Jahr 2011 wichtige Quellmärkte für den Tourismus in Sachsen fest. Dabei …
Persistent link: https://www.econbiz.de/10011733337
Cover Image
Tourism demand forecasting models: A review of current studies
Fernàndez Lòpez, Reinier; Vilalta-Alonso, José Alberto; … - In: Revista de Métodos Cuantitativos para la Economía y … 36 (2023), pp. 1-25
main results show that the models for forecasting tourism demand they are constantly evolving and there is no single model … main countries, scientific journals and authors who address the study of tourism demand. …Tourism has gained vital importance in recent times as it is one of the economic activities that brings the greatest …
Persistent link: https://www.econbiz.de/10014494546
Cover Image
The effect of tourism on crime in Italy: A dynamic panel approach
Biagi, Bianca; Brandono, Maria Giovanna; Detotto, Claudio - In: Economics: The Open-Access, Open-Assessment E-Journal 6 (2012) 2012-25, pp. 1-24
positive relationship between tourism and crime in destinations. When using the level rather than the rate of total crime and … tourist population. Therefore, the main explanation for the impact of tourism on crime seems to be agglomeration effects. …
Persistent link: https://www.econbiz.de/10010309603
Cover Image
Realities beyond the Grey-Markov model for forecasting international tourism demand
Chai, Yan Qiu; Choi, Jeong-gil; Chung, Jellna - In: Global Business & Finance Review (GBFR) 24 (2019) 2, pp. 58-68
Persistent link: https://www.econbiz.de/10012286679
Cover Image
Forecasting the direction of daily changes in the India VIX index using machine learning
Prasad, Akhilesh; Bakhshi, Priti - In: Journal of Risk and Financial Management 15 (2022) 12, pp. 1-26
Movements in the India VIX are an important gauge of how the market's risk perception shifts from day to day. This research attempts to forecast movements one day ahead of the India VIX using logistic regression and 11 ensemble learning classifiers. The period of study is from April 2009 to...
Persistent link: https://www.econbiz.de/10014332708
Cover Image
Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels Elektrolumineszenz...
Zschech, Patrick; Sager, Christoph; Siebers, Philipp; … - In: HMD Praxis der Wirtschaftsinformatik 58 (2020) 2, pp. 321-342
Die Qualitätssicherung bei der Produktion von Solarzellen ist ein entscheidender Faktor, um langfristige Leistungsgarantien auf Solarpanels gewähren zu können. Die vorliegende Arbeit leistet hierzu einen Beitrag zur automatisierten Fehlererkennung auf Wafern, indem Elektrolumineszenz-Bilder...
Persistent link: https://www.econbiz.de/10014503885
Cover Image
Credit risk analysis using machine and deep learning models
Addo, Peter Martey; Guegan, Dominique; Hassani, Bertrand - In: Risks 6 (2018) 2, pp. 1-20
Due to the advanced technology associated with Big Data, data availability and computing power, most banks or lending institutions are renewing their business models. Credit risk predictions, monitoring, model reliability and effective loan processing are key to decision-making and transparency....
Persistent link: https://www.econbiz.de/10011996596
Cover Image
Prospects of artificial intelligence and machine learning application in banking risk management
Milojević, Nenad; Redzepagic, Srdjan - In: Journal of Central Banking Theory and Practice 10 (2021) 3, pp. 41-57
Artificial intelligence and machine learning have increasing influence on the financial sector, but also on economy as a whole. The impact of artificial intelligence and machine learning on banking risk management has become particularly interesting after the global financial crisis. The...
Persistent link: https://www.econbiz.de/10014558436
Cover Image
A deep learning integrated Lee-Carter model
Nigri, Andrea; Levantesi, Susanna; Marino, Mario; … - In: Risks 7 (2019) 1, pp. 1-16
In the field of mortality, the Lee-Carter based approach can be considered the milestone to forecast mortality rates among stochastic models. We could define a 'Lee-Carter model family' that embraces all developments of this model, including its first formulation (1992) that remains the...
Persistent link: https://www.econbiz.de/10013200451