ML-QuantSubscribe

SSRNEconometrics & Forecasting

Forecasting Financial Risk with Quantile RF

The study introduces a financial risk forecasting model using Generalized Quantile Random Forests, which offers competitive risk and shortfall forecasts and generates appealing Sharpe, Sortino, and Omega ratios.

Featured in No. 7 on 12 Jul 2023 ·

Released
17 Jan 2023
First featured
No. 7 · 12 Jul 2023
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4504950

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page