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The impact of information diffusion on bidding behavior in secret reserve price auctions
Hinz, Oliver; Spann, Martin - In: Information systems research : ISR 19 (2008) 3, pp. 351-368
Persistent link: https://www.econbiz.de/10003771610
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Managing information diffusion in Name-Your-Own-Price auctions
Hinz, Oliver; Spann, Martin - In: Decision support systems : DSS ; the international journal 49 (2010) 4, pp. 474-485
Persistent link: https://www.econbiz.de/10008655576
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Assessing strategic behavior in name-your-own-price markets
Voigt, Sebastian; Hinz, Oliver - In: International journal of electronic commerce : IJEC 18 (2013/14) 3, pp. 103-124
Persistent link: https://www.econbiz.de/10010360051
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TV's dirty little secret : the negative effect of popular TV on online auction sales
Hinz, Oliver; Hill, Shawndra; Kim, Ju-Young - In: Management information systems : mis quarterly 40 (2016) 3, pp. 623-644
Persistent link: https://www.econbiz.de/10011551077
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Using Twitter to predict the stock market : where is the mood effect?
Nofer, Michael; Hinz, Oliver - In: Business & information systems engineering : BISE ; the … 57 (2015) 4, pp. 229-242
Persistent link: https://www.econbiz.de/10011486226
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Machine learning sentiment analysis, Covid-19 news and stock market reactions
Costola, Michele; Nofer, Michael; Hinz, Oliver; … - 2020
The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the "Natural Language Toolkit" that uses machine...
Persistent link: https://www.econbiz.de/10012271363
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Machine learning sentiment analysis, COVID-19 news and stock market reactions
Costola, Michele; Hinz, Oliver; Nofer, Michael; … - In: Research in international business and finance 64 (2023), pp. 1-17
Persistent link: https://www.econbiz.de/10014279055
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Interaktive Preismechanismen in dynamischen Märkten
Hinz, Oliver - 2008
Persistent link: https://www.econbiz.de/10003631837
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Machine Learning Sentiment Analysis, Covid-19 News and Stock Market Reactions
Costola, Michele - 2020
The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the ”Natural Language Toolkit” that uses...
Persistent link: https://www.econbiz.de/10012823402