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Material Type: Article
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Nonstandard ErrorsThe Journal of finance (New York), 2024-06 [Peer Reviewed Journal]ISSN: 0022-1082 ;ISSN: 1540-6261 ;EISSN: 1540-6261 ;DOI: 10.1111/jofi.13337Digital Resources/Online E-Resources |
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2 |
Material Type: Article
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Narrative triggers of information sensitivityQuantitative finance, 2024-04, Vol.24 (3-4), p.499-520 [Peer Reviewed Journal]2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2024 ;ISSN: 1469-7688 ;EISSN: 1469-7696 ;DOI: 10.1080/14697688.2024.2335241Digital Resources/Online E-Resources |
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3 |
Material Type: Article
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Interlinkages between Bitcoin, green financial assets, oil, and emerging stock marketsData science in finance and economics, 2024-03, Vol.4 (1), p.160-187 [Peer Reviewed Journal]EISSN: 2769-2140 ;DOI: 10.3934/DSFE.2024006Full text available |
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4 |
Material Type: Article
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Optimizing pricing and promotions for sustained profitability in declining markets: A Green-Centric inventory modelData science in finance and economics, 2024-02, Vol.4 (1), p.83-131 [Peer Reviewed Journal]EISSN: 2769-2140 ;DOI: 10.3934/DSFE.2024004Full text available |
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5 |
Material Type: Article
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Forecasting relative returns for S&P 500 stocks using machine learningFinancial innovation (Heidelberg), 2024-12, Vol.10 (1) [Peer Reviewed Journal]The Author(s) 2024 ;EISSN: 2199-4730 ;DOI: 10.1186/s40854-024-00644-0Full text available |
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6 |
Material Type: Article
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A firm-specific Malmquist productivity index model for stochastic data envelopment analysis: an application to commercial banksFinancial innovation (Heidelberg), 2024-12, Vol.10 (1), p.66-27 [Peer Reviewed Journal]The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2199-4730 ;DOI: 10.1186/s40854-023-00583-2Full text available |
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7 |
Material Type: Article
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Exploring the influence of online word-of-mouth on hotel booking prices: insights from regression and ensemble-based machine learning methodsData science in finance and economics, 2024-02, Vol.4 (1), p.65-82 [Peer Reviewed Journal]EISSN: 2769-2140 ;DOI: 10.3934/DSFE.2024003Full text available |