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Digital revolution - new challenges for law : data protection, artificial intelligence, smart products, blockchain technology and virtual currencies
De Franceschi, Alberto (ed.); Schulze, Reiner (ed.);  … - Digital Revolution: Data Protection, Smart Products, … - 2019
Persistent link: https://www.econbiz.de/10012618415
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Returns from Investing in Cryptocurrency : Evidence from German Individual Investors
Ante, Lennart - 2020
analyze a subpopulation of 225 cryptocurrency owners who classify as investors. 56% of them experienced positive returns …-12) did. We find that net income, the degree of cryptocurrency knowledge and the degree of ideological motivation for owning … cryptocurrency have positive effects on returns. This first scientific analysis of individual investment in cryptocurrencies provides …
Persistent link: https://www.econbiz.de/10012841207
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Trading strategies based on past returns : evidence from Germany
Schmidt, Martin H. - In: Financial markets and portfolio management 31 (2017) 2, pp. 201-256
Persistent link: https://www.econbiz.de/10011944618
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What makes a satisfying life? : prediction and interpretation with machinelearning algorithms
Clark, Andrew E.; D'Ambrosio, Conchita; Gentile, Niccoló; … - 2022
Persistent link: https://www.econbiz.de/10013206941
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Measuring employment readiness for hard-to-place individuals
Tranberg Bodilsen, Simon; Nielsen, Søren Albeck; … - 2023
In an era characterized by population aging and economic challenges in welfare states across the world, sustaining these welfare systems requires a large workforce. Many individuals outside the labor market aspire to work but encounter a labyrinth of obstacles. While Public Employment Services...
Persistent link: https://www.econbiz.de/10014431794
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Forecasting recessions in Germany with machine learning
Rademacher, Philip - 2024
This paper applies machine learning to forecast business cycles in the German economy using a high-dimensional dataset with 73 indicators, primarily from the OECD Main Economic Indicator Database, covering a time period from 1973 to 2023. Sequential Floating Forward Selection (SFFS) is used to...
Persistent link: https://www.econbiz.de/10015064177
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How well can the migration component of regional population change be predicted? : a machine learning approach applied to German municipalities
Weber, Hannes - In: Comparative population studies : CPoS ; open acess … 45 (2020), pp. 143-178
, cannot be predicted equally well (R² = 0.25). Some important lessons emerge concerning the predictability of regional and …
Persistent link: https://www.econbiz.de/10012198979
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Essays in empirical personal finance : individual investor reactions to low interest rates and robo-advice
Scheurle, Sebastian - 2017
Persistent link: https://www.econbiz.de/10011637827
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Heterogeneous trading behaviors of individual investors : a deep clustering approach
Hwang, Yoontae; Park, Junpyo; Kim, Jang Ho; Lee, Yongjae; … - In: Finance research letters 65 (2024), pp. 1-11
While individual investors may have more diverse preferences and trading behavior than institutional investors due to their lack of professional education, many studies tend to lump individual investors together or classify them by socio-demographic characteristics. We conducted an empirical...
Persistent link: https://www.econbiz.de/10014552073
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Power of machine learning algorithms for predicting dropouts from a German telemonitoring program using standardized claims data
Hofer, Florian; Birkner, Benjamin; Spindler, Martin - 2021
Background: Statutory health insurers in Germany offer a variety of disease management, prevention and health promotion programs to their insurees. Identifying patients with a high probability of leaving these programs prematurely helps insurers to offer better support to those at the highest...
Persistent link: https://www.econbiz.de/10012659130