ML-QuantSubscribe

SSRNDerivatives & Volatility

Stock Market Volatility Forecasting Models: A Comparative Study

The paper finds the simple regression model as the most accurate in predicting daily volatility of the NIFTY 50 index among eight forecasting models.

Featured in No. 50 on 22 May 2024 · 5 days after release · 0 citations today

Released
17 May 2024
First featured
No. 50 · 22 May 2024
Citations (Semantic Scholar)
0
Influential citations
0
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4832110

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