Index tracking using shapley additive explanations and one-dimensional pointwise convolutional autoencoders

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Bibliographic Details
Title: Index tracking using shapley additive explanations and one-dimensional pointwise convolutional autoencoders
Authors: Zhang, Yanyi, De Smedt, Johannes
Source: ISSN:1057-5219 ; ISSN:1873-8079 ; International Review Of Financial Analysis, vol. 95, Art.No. ARTN 103487.
Publisher Information: JAI Press
Publication Year: 2024
Subject Terms: Social Sciences, Business, Finance, Business & Economics, Index tracking, Deep learning, Convolutional autoencoder, Pointwise convolution, Feature importance ranking, TIME-SERIES, RETURNS, 1501 Accounting, Auditing and Accountability, 1502 Banking, Finance and Investment, 1801 Law, 3501 Accounting, 3502 Banking, 3801 Applied economics
Description: status: Published
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://lirias.kuleuven.be/handle/20.500.12942/750278; https://doi.org/10.1016/j.irfa.2024.103487
DOI: 10.1016/j.irfa.2024.103487
Availability: https://lirias.kuleuven.be/handle/20.500.12942/750278
https://hdl.handle.net/20.500.12942/750278
https://lirias.kuleuven.be/retrieve/24eaaa83-9e2c-4644-9066-23a48271ac33
https://doi.org/10.1016/j.irfa.2024.103487
Rights: info:eu-repo/semantics/openAccess ; public ; All rights reserved
Accession Number: edsbas.959FAFCF
Database: BASE
Description
Abstract:status: Published
DOI:10.1016/j.irfa.2024.103487