Diverging roads : theory-based vs. machine learning-implied stock risk premia
Year of publication: |
2025
|
---|---|
Authors: | Grammig, Joachim ; Hanenberg, Constantin ; Schlag, Christian ; Sönksen, Jantje |
Published in: |
Journal of financial econometrics. - Oxford : Oxford University Press, ISSN 1479-8417, ZDB-ID 2065613-0. - Vol. 23.2025, 2, Art.-No. nbaf005, p. 1-55
|
Subject: | stock risk premia | option prices | machine learning | Risikoprämie | Risk premium | Künstliche Intelligenz | Artificial intelligence | CAPM | Optionspreistheorie | Option pricing theory | Börsenkurs | Share price |
-
Essays on asset pricing, investor preferences, and derivative markets
Koëter, Joren, (2021)
-
Diverging roads: theory-based vs. machine learning-implied stock risk premia
Grammig, Joachim, (2020)
-
Modeling conditional factor risk premia implied by index option returns
Fournier, Mathieu, (2021)
- More ...
-
Diverging roads: theory-based vs. machine learning-implied stock risk premia
Grammig, Joachim, (2020)
-
Diverging Roads : Theory-Based vs. Machine Learning-Implied Stock Risk Premia
Grammig, Joachim, (2020)
-
Empirical asset pricing with multi-period disaster risk : a simulation-based approach
Sönksen, Jantje, (2021)
- More ...