American Psychological Association 6th edition

Alahmadi, M. F., & Yilmaz, M. T. (2025). Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model. Data Science in Finance & Economics, 5(1), 1-31. https://doi.org/10.3934/DSFE.2025006

ISO-690 (author-date, English)

ALAHMADI, Mazin Fahad und YILMAZ, Mustafa Tahsin, 2025. Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model. Data Science in Finance & Economics. 1 Januar 2025. Vol. 5, no. 1, p. 1-31. DOI 10.3934/DSFE.2025006.

Modern Language Association 9th edition

Alahmadi, M. F., und M. T. Yilmaz. „Prediction of IPO Performance from Prospectus Using Multinomial Logistic Regression, a Machine Learning Model.“. Data Science in Finance & Economics, Bd. 5, Nr. 1, Januar 2025, S. 1-31, https://doi.org/10.3934/DSFE.2025006.

Mohr Siebeck - Recht (Deutsch - Österreich)

Alahmadi, Mazin Fahad/Yilmaz, Mustafa Tahsin: Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model., Data Science in Finance & Economics 2025, 1-31.

Emerald - Harvard

Alahmadi, M.F. und Yilmaz, M.T. (2025), „Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model.“, Data Science in Finance & Economics, Vol. 5 No. 1, S. 1-31.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.