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Year of publication
Subject
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deeplearning 4 Portfolio selection 3 Portfolio-Management 3 Advantage-Actor-Critic 2 Artificial intelligence 2 Asymmetric traveling salesman problem 2 Container ships 2 Deep-Learning 2 Deep-learning neural network 2 Factorinvesting 2 Forecasting model 2 Künstliche Intelligenz 2 Liner shipping 2 Neural networks 2 Neuronale Netze 2 Option pricing theory 2 Optionspreistheorie 2 Portfolio Management 2 Prognoseverfahren 2 Quantile Deep Reinforcement Learning 2 Route choice optimization 2 Ship fuel consumption model 2 Stochastic process 2 Stochastischer Prozess 2 Agent-based modeling 1 Agentenbasierte Modellierung 1 Animation design 1 Arbeitsbedingungen 1 Arbeitswelt 1 Artificial Intelligence 1 Asia 1 Asien 1 Augmented Decision Environments 1 Augmented Reality 1 Augmented reality in business 1 Affine processes 1 Betriebswirtschaftsstudium 1 Bildungspolitik 1 Black–Scholes formula 1 Business and economics education 1
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Online availability
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Free 7 Undetermined 4 CC license 2
Type of publication
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Article 7 Book / Working Paper 5
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Working Paper 4 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3 Article 1 Aufsatz im Buch 1 Book section 1 Konferenzschrift 1
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Language
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English 12
Author
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Baruník, Jozef 2 Janásek, Lukáš 2 Sarkany, Attila 2 Albert, Sylvie 1 Arai, Takuji 1 Chan-Lau, Jorge A. 1 Dieck, M. Claudia tom 1 Fügener, Andreas 1 Geuchen, Benedikt 1 Grahl, Jörn 1 Grzeda, Maurice 1 Gupta, Alok 1 Hartmann, Jochen 1 Imai, Yuto 1 Jung, Timothy 1 Ketter, Wolfgang 1 Kim, Yen-Soon 1 Linh Bui-Duy 1 Maheshwari, Suneel 1 Naik, Deepak Raghava 1 Netzer, Oded 1 Ngoc Vu-Thi-Minh 1 Oberpriller, Katharina 1 Schmidt, Thorsten 1 Wang, Ran 1
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Institution
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International XR-Metaverse Conference <8., 2023, Las Vegas, Nev.> 1
Published in...
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Artificial intelligence in marketing 1 Asian Journal of Shipping and Logistics (AJSL) 1 ERIM report series research in management 1 IES Working Paper 1 IES working paper 1 IMF working papers 1 International journal of financial engineering 1 International journal of theoretical and applied finance : IJTAF 1 Journal of management education : a publication of the Organizational Behavior Teaching Society 1 Risks : open access journal 1 Springer Proceedings in Business and Economics 1 The Asian Journal of Shipping and Logistics 1
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Source
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ECONIS (ZBW) 10 EconStor 2
Showing 1 - 10 of 12
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Predicting mutual fund stress levels utilizing SEBI's stress test parameters in MidCap and SmallCap funds using deep learning models
Maheshwari, Suneel; Naik, Deepak Raghava - In: Risks : open access journal 12 (2024) 11, pp. 1-17
The Association of Mutual Funds of India (AMFI), under the direction of the Securities and Exchange Board of India (SEBI), provided open access to various risk parameters with respect to MidCap and SmallCap funds for the first time from February 2024. Our study utilizes AMFI datasets from...
Persistent link: https://www.econbiz.de/10015135934
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Quantile preferences in portfolio choice : a Q-DRL approach to dynamic diversification
Sarkany, Attila; Janásek, Lukáš; Baruník, Jozef - 2024
We develop a novel approach to understand the dynamic diversification of decision makers with quantile preferences. Due to unavailability of analytical solutions to such complex problems, we suggest to approximate the behavior of agents with a Quantile Deep Reinforcement Learning (Q-DRL)...
Persistent link: https://www.econbiz.de/10014532001
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Quantile preferences in portfolio choice: A Q-DRL approach to dynamic diversification
Sarkany, Attila; Janásek, Lukáš; Baruník, Jozef - 2024
We develop a novel approach to understand the dynamic diversification of decision makers with quantile preferences. Due to unavailability of analytical solutions to such complex problems, we suggest to approximate the behavior of agents with a Quantile Deep Reinforcement Learning (Q-DRL)...
Persistent link: https://www.econbiz.de/10014577259
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Option pricing for Barndorff-Nielsen and Shephard model by supervised deep learning
Arai, Takuji; Imai, Yuto - In: International journal of financial engineering 12 (2025) 1, pp. 1-16
Persistent link: https://www.econbiz.de/10015550235
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XR and Metaverse : Proceedings of the 8th International XR-Metaverse Conference 2023, Las Vegas, USA
Dieck, M. Claudia tom (ed.); Jung, Timothy (ed.);  … - International XR-Metaverse Conference <8., 2023, Las … - 2024
This book offers a comprehensive collection of the latest research presented at the 8th International XR-Metaverse Conference, held in Las Vegas, USA in 2023. Its goal is to bridge the gap between academia and industry by advancing the state of the art in metaverse, XR, AI-based AR and VR...
Persistent link: https://www.econbiz.de/10014463098
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Affine models with path-dependence under parameter uncertainty and their application in finance
Geuchen, Benedikt; Oberpriller, Katharina; Schmidt, Thorsten - In: International journal of theoretical and applied … 27 (2024) 2, pp. 1-36
Persistent link: https://www.econbiz.de/10015558907
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Utilization of a deep learning-based fuel consumption model in choosing a liner shipping route for container ships in Asia
In: Asian Journal of Shipping and Logistics (AJSL) 37 (2021) 1, pp. 1-11
Designating the ideal shipping route can spare expenses, enlarge profits and improve the competitiveness of shipping companies. Liner shipping route choice is mainly contingent on fuel cost, which always contributes the major proportion of the ship's operating cost. Although many studies on this...
Persistent link: https://www.econbiz.de/10015471071
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Utilization of a deep learning-based fuel consumption model in choosing a liner shipping route for container ships in Asia
Linh Bui-Duy; Ngoc Vu-Thi-Minh - In: The Asian Journal of Shipping and Logistics 37 (2021) 1, pp. 1-11
Designating the ideal shipping route can spare expenses, enlarge profits and improve the competitiveness of shipping companies. Liner shipping route choice is mainly contingent on fuel cost, which always contributes the major proportion of the ship's operating cost. Although many studies on this...
Persistent link: https://www.econbiz.de/10012494939
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unFEAR : unsupervised feature extraction clustering with an application to crisis regimes classification
Chan-Lau, Jorge A.; Wang, Ran - 2020
We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes...
Persistent link: https://www.econbiz.de/10012392653
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Natural language processing in marketing
Hartmann, Jochen; Netzer, Oded - In: Artificial intelligence in marketing, (pp. 191-215). 2023
The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to...
Persistent link: https://www.econbiz.de/10014307139
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