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Material Type: Article
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Are higher-order factors useful in pricing the cross-section of hedge fund returns?Revista Brasileira de Financas, 2019-04, Vol.17 (2), p.1-37 [Peer Reviewed Journal]COPYRIGHT 2019 Sociedade Brasileira de Financas ;2019. This work is published under NOCC (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1679-0731 ;EISSN: 1984-5146 ;DOI: 10.12660/rbfin.v17n2.2019.78017Full text available |
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Material Type: Article
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American option pricing with machine learning: An extension of the Longstaff-Schwartz methodRevista Brasileira de Financas, 2021-09, Vol.19 (3), p.85-109 [Peer Reviewed Journal]COPYRIGHT 2021 Sociedade Brasileira de Financas ;2021. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1679-0731 ;EISSN: 1984-5146 ;DOI: 10.12660/rbfin.v19n3.2021.83815Full text available |
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Material Type: Article
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A Bayesian nonparametric approach to option pricingRevista Brasileira de Financas, 2020-10, Vol.18 (4), p.115-137 [Peer Reviewed Journal]COPYRIGHT 2020 Sociedade Brasileira de Financas ;2020. This work is published under https://creativecommons.org/licenses/by/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1679-0731 ;EISSN: 1984-5146 ;DOI: 10.12660/rbfin.v18n4.2020.81913Full text available |
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Material Type: Article
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Robust assessment of hedge fund performanceHedge Funds Review, 2012-09 (143), p.31Copyright Incisive Media Plc Sep 2012 ;ISSN: 1471-8855Full text available |
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Material Type: Article
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A Critical Review of Photo-Based Advanced Oxidation Processes to Pharmaceutical DegradationCatalysts, 2023-01, Vol.13 (2), p.221 [Peer Reviewed Journal]COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-4344 ;EISSN: 2073-4344 ;DOI: 10.3390/catal13020221Full text available |
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6 |
Material Type: Book
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Nonparametric Tail Risk, Stock Returns and the MacroeconomyDigital Resources/Online E-Resources |