Citations refer to the original publication, not to a Scieee localized version.
Azevedo, V., & Hoegner, C. (2022). Enhancing stock market anomalies with machine learning. Review of Quantitative Finance and Accounting, 60(1), 195–230. https://doi.org/10.1007/s11156-022-01099-z
Azevedo, Vitor, and Christopher Hoegner. “Enhancing stock market anomalies with machine learning.” Review of Quantitative Finance and Accounting, vol. 60, no. 1, 2022, pp. 195–230. https://doi.org/10.1007/s11156-022-01099-z.
Azevedo, Vitor, and Christopher Hoegner. “Enhancing stock market anomalies with machine learning.” Review of Quantitative Finance and Accounting 60, no. 1 (2022): 195–230. https://doi.org/10.1007/s11156-022-01099-z.
Azevedo, V. and Hoegner, C. (2022) ‘Enhancing stock market anomalies with machine learning’, Review of Quantitative Finance and Accounting, 60(1), pp. 195–230. Available at: https://doi.org/10.1007/s11156-022-01099-z.
V. Azevedo and C. Hoegner, “Enhancing stock market anomalies with machine learning,” Review of Quantitative Finance and Accounting, vol. 60, no. 1, pp. 195–230, 2022, doi: 10.1007/s11156-022-01099-z.
@article{azevedo2022enhancing,
author = {Azevedo, Vitor and Hoegner, Christopher},
title = {Enhancing stock market anomalies with machine learning},
journal = {Review of Quantitative Finance and Accounting},
year = {2022},
volume = {60},
number = {1},
pages = {195--230},
publisher = {New York, NY: Springer US,New York, NY: Springer US},
doi = {10.1007/s11156-022-01099-z},
url = {https://doi.org/10.1007/s11156-022-01099-z}
}
