Forecasting volatility of futures market: the S&P 500 and FTSE 100 futures using high frequency returns and implied volatility

C-Tier
Journal: Applied Economics
Year: 2006
Volume: 38
Issue: 4
Pages: 395-413

Authors (2)

Jaesun Noh (not in RePEc) Tae-Hwan Kim (Yonsei University)

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We show that historical volatility from high frequency returns outperforms implied volatility when standardized returns by historical volatility tends to be normally distributed. For the FTSE 100 futures, we find that historical volatility using high frequency returns outperforms implied volatility in forecasting future volatility. However, we find that implied volatility outperforms historical volatility in forecasting future volatility for the S&P 500 futures. The results also indicate that historical volatility using high frequency returns could be an unbiased forecast for the FTSE 100 futures.

Technical Details

RePEc Handle
repec:taf:applec:v:38:y:2006:i:4:p:395-413
Journal Field
General
Author Count
2
Added to Database
2026-01-25