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Neben der Einleitung ist die Dissertation in zwei Teile aufgeteilt. In Teil I wird die Annahme eines Investors mit μ-σ Präferenz getroffen. Das erste Kapitel stellt ein Multi-Rating ATSM unter Arbitragefreiheit mit dem klaren Fokus auf Zinsstrukturkurvenmodelle für Unternehmensanleihen vor....
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We perform a comparative analysis of machine learning methods for the canonical problem of empirical asset pricing: measuring asset risk premia. We demonstrate large economic gains to investors using machine learning forecasts, in some cases doubling the performance of leading regression-based...
Persistent link: https://www.econbiz.de/10012906301
We perform a comparative analysis of machine learning methods for the canonical problem of empirical asset pricing: measuring asset risk premia. We demonstrate large economic gains to investors using machine learning forecasts, in some cases doubling the performance of leading regression-based...
Persistent link: https://www.econbiz.de/10012899608
This paper evaluates the performance of machine learning methods in forecasting stock returns. Compared to a linear benchmark model, interactions and non-linear effects help improve predictive performance. But machine learning models must be adequately trained and tuned to overcome the high...
Persistent link: https://www.econbiz.de/10012829491
We perform a comparative analysis of machine learning methods for the canonical problem of empirical asset pricing: measuring asset risk premia. We demonstrate large economic gains to investors using machine learning forecasts, in some cases doubling the performance of leading regression-based...
Persistent link: https://www.econbiz.de/10012481045
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