ML-QuantSubscribe

SSRNDerivatives & Volatility

Forecasting Realized Volatility

The paper highlights the improved forecast performance of a HAR model that uses the QLIKE loss for both out-of-sample forecast evaluation and in-sample parameter estimation.

Featured in No. 95 on 30 Apr 2025 · 2 days after release

Released
28 Apr 2025
First featured
No. 95 · 30 Apr 2025
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 5233349

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