Autoencoder asset pricing models and economic restrictions — international evidence
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F25%3A00639180" target="_blank" >RIV/67985556:_____/25:00639180 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11230/25:10502887
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S105752192500729X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S105752192500729X?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.irfa.2025.104642" target="_blank" >10.1016/j.irfa.2025.104642</a>
Alternative languages
Result language
angličtina
Original language name
Autoencoder asset pricing models and economic restrictions — international evidence
Original language description
We evaluate the performance of the Conditional Autoencoder (CAE) model by Gu et al. (2021) across U.S. and international datasets, considering economic constraints such as the exclusion of microcap and illiquid firms and the inclusion of transaction costs. The CAE model captures nonlinear relationships between returns and firm characteristics by jointly estimating latent factors and conditional betas while enforcing the no-arbitrage condition. The original study demonstrated significant reductions in out-of-sample pricing errors from both statistical and economic perspectives in the U.S. context. We validate these findings on the original U.S. dataset and show that the model generalises well to a U.S. dataset with a broader set of firm characteristics and to international markets. When economic constraints are introduced, portfolio profitability declines substantially. Profitability drops by 60%–85% when shifting from the full sample to the liquid sample before trading costs. However, after costs, only the liquid strategies remain profitable. In particular, long-only strategies on the liquid sample are the only ones to consistently outperform market benchmarks across all datasets, achieving Sharpe ratios between 0.65 and 0.78 for both equal- and value-weighted portfolios. Overall, the findings underscore both the limitations and the practical potential of the CAE model under realistic market frictions.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50201 - Economic Theory
Result continuities
Project
<a href="/en/project/GA24-11555S" target="_blank" >GA24-11555S: Taming the tail risks in financial markets with data-driven methods</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Review of Financial Analysis
ISSN
1057-5219
e-ISSN
1873-8079
Volume of the periodical
107
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
9
Pages from-to
104642
UT code for WoS article
001579057000004
EID of the result in the Scopus database
2-s2.0-105016479141