All Stories

  1. Economic evaluation of dynamic hedging strategies using high-frequency data
  2. Optimal futures hedging by using realized semicovariances: The information contained in signed high‐frequency returns
  3. Improving hedging performance by using high–low range
  4. High‐frequency data and stock–bond investing
  5. Use of high‐frequency data to evaluate the performance of dynamic hedging strategies
  6. Generalized autoregressive score model with high‐frequency data for optimal futures hedging
  7. Flexible covariance dynamics, high‐frequency data, and optimal futures hedging
  8. Evaluating the hedging performance of multivariate GARCH models
  9. Estimation of the optimal futures hedge ratio for equity index portfolios using a realized beta generalized autoregressive conditional heteroskedasticity model
  10. Dynamic hedging with futures: a copula-based GARCH model with high-frequency data
  11. A Bivariate High-Frequency-Based Volatility Model for Optimal Futures Hedging
  12. A Multivariate Markov Regime-Switching High-Frequency-Based Volatility Model for Optimal Futures Hedging
  13. Hedge Ratio Prediction With Noisy HF Data
  14. Incremental Value of a Futures Hedge Using Realized Ranges
  15. On the importance of asymmetries for dynamic hedging during the subprime crisis
  16. The incremental value of a futures hedge using realized volatility