All Stories

  1. Exponential GARCH Modeling With Realized Measures of Volatility
  2. A martingale decomposition of discrete Markov chains
  3. Comment
  4. REALIZED BETA GARCH: A MULTIVARIATE GARCH MODEL WITH REALIZED MEASURES OF VOLATILITY
  5. ESTIMATING THE PERSISTENCE AND THE AUTOCORRELATION FUNCTION OF A TIME SERIES THAT IS MEASURED WITH ERROR
  6. Forecasting Volatility Using High-Frequency Data
  7. Multivariate realised kernels: Consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
  8. Realized GARCH: a joint model for returns and realized measures of volatility
  9. Subsampling realised kernels
  10. The Model Confidence Set
  11. Realized GARCH: A Joint Model of Returns and Realized Measures of Volatility
  12. Estimating the Persistence and the Autocorrelation Function of a Time Series that is Measured with Error
  13. Multivariate Realised Kernels: Consistent Positive Semi-Definite Estimators of the Covariation of Equity Prices with Noise and Non-Synchronous Trading
  14. Realized kernels in practice: trades and quotes
  15. Quadratic Variation by Markov Chains
  16. Reduced-rank regression: A useful determinant identity
  17. Moving Average-Based Estimators of Integrated Variance
  18. Reduced-Rank Regression: A Useful Determinant Identity
  19. Realised Kernels in Practice: Trades and Quotes
  20. Designing Realised Kernels to Measure the Ex-Post Variation of Equity Prices in the Presence of Noise
  21. The Greenspan years: an analysis of the magnitude and speed of the equity market response to FOMC announcements
  22. Subsampling Realised Kernels
  23. Realized Variance and Market Microstructure Noise
  24. Rejoinder
  25. Consistent ranking of volatility models
  26. Moving Average-Based Estimators of Integrated Variance
  27. Rejoinder (To Comments on Realized Variance and Market Microstructure Noise)
  28. A Test for Superior Predictive Ability
  29. A forecast comparison of volatility models: does anything beat a GARCH(1,1)?
  30. Granger's representation theorem: A closed‐form expression for I(1) processes
  31. Realized Variance and Market Microstructure Noise
  32. A Test for Superior Predictive Ability
  33. Testing the Significance of Calendar Effects
  34. A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data
  35. The Greenspan Effect on Equity Markets: An Intraday Examination of U.S. Monetary Policy Announcements
  36. An Unbiased Measure of Realized Variance
  37. Choosing the Best Volatility Models: The Model Confidence Set Approach*
  38. Structural changes in the cointegrated vector autoregressive model
  39. Consistent Ranking of Volatility Models
  40. Asymptotic Tests of Composite Hypotheses
  41. Choosing the Best Volatility Models: The Model Confidence Set Approach
  42. Generalized Reduced Rank Regression
  43. A Simple Algebraic Proof of the Estimation Result in Reduced-Rank Regressions
  44. A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?
  45. Granger's Representation Theorem: A Closed-Form Expression for I(1) Processes
  46. Cointegration
  47. A Martingale Decomposition of Discrete Markov Chains