Research project · Narodowe Centrum Nauki
NCN OPUS 21
NCN OPUS 21 · grant no. UMO-2021/41/B/HS4/02443
Publications from this project (6)
Early warning systems for cryptocurrency markets: Predicting ‘zombie’ assets using machine learning
Będowska-Sójka, B., Wójcik, P., Pele, D.T. (2025). The North American Journal of Economics and Finance, 81, 102543.
DOISSRN preprintNCN OPUS 21COST Action CA19130 FinAIMSCA Doctoral Network DIGITAL
Do investors in dirty and clean cryptocurrencies care about energy efficiency in the same way?
Będowska-Sójka, B., Kliber, A. (2024). Finance Research Letters, 67, 105852.
Machine learning and the cross-section of cryptocurrency returns
Cakici, N., Shahzad, S.J.H., Będowska-Sójka, B., Zaremba, A. (2024). International Review of Financial Analysis, 94, 103244.
Uncertainty and cryptocurrency returns: A lesson from turbulent times
Będowska-Sójka, B., Górka, J., Hemmings, D., Zaremba, A. (2024). International Review of Financial Analysis, 94, 103330.
Hedging geopolitical risks with different asset classes: A focus on the Russian invasion of Ukraine
Będowska-Sójka, B., Demir, E., Zaremba, A. (2022). Finance Research Letters, 50, 103192.
Is geopolitical risk priced in the cross-section of cryptocurrency returns?
Long, H., Demir, E., Będowska-Sójka, B., Zaremba, A., Shahzad, S.J.H. (2022). Finance Research Letters, 49, 103131.