All Stories

  1. Option Pricing with Time-Varying Volatility Risk Aversion
  2. Cluster GARCH
  3. A Canonical Representation of Block Matrices with Applications to Covariance and Correlation Matrices
  4. A new method for generating random correlation matrices
  5. Characterizing correlation matrices that admit a clustered factor representation
  6. Characterizing Correlation Matrices that Admit a Clustered Factor Representation
  7. Periodicity in Cryptocurrency Volatility and Liquidity
  8. How should parameter estimation be tailored to the objective?
  9. Realized GARCH, CBOE VIX, and the Volatility Risk Premium
  10. Option pricing with state‐dependent pricing kernel
  11. Relative contagiousness of emerging virus variants: An analysis of the Alpha, Delta, and Omicron SARS-CoV-2 variants
  12. A New Parametrization of Correlation Matrices
  13. The contagious nature of a vaccine scare: How the introduction of HPV vaccination lifted and eroded MMR vaccination in Denmark
  14. Resilience of HPV vaccine uptake in Denmark: Decline and recovery
  15. A Dynamic Model of Vaccine Compliance: How Fake News Undermined the Danish HPV Vaccine Program
  16. Realized Wishart-GARCH: A Score-driven Multi-Asset Volatility Model*
  17. Exponential GARCH Modeling With Realized Measures of Volatility
  18. A Markov Chain Estimator of Multivariate Volatility from High Frequency Data
  19. A martingale decomposition of discrete Markov chains
  20. Comment
  21. Equivalence Between Out-of-Sample Forecast Comparisons and Wald Statistics
  22. REALIZED BETA GARCH: A MULTIVARIATE GARCH MODEL WITH REALIZED MEASURES OF VOLATILITY
  23. ESTIMATING THE PERSISTENCE AND THE AUTOCORRELATION FUNCTION OF A TIME SERIES THAT IS MEASURED WITH ERROR
  24. Forecasting Volatility Using High-Frequency Data
  25. Multivariate realised kernels: Consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
  26. Realized GARCH: a joint model for returns and realized measures of volatility
  27. Subsampling realised kernels
  28. The Model Confidence Set
  29. The Model Confidence Set
  30. Realized GARCH: A Joint Model of Returns and Realized Measures of Volatility
  31. Estimating the Persistence and the Autocorrelation Function of a Time Series that is Measured with Error
  32. Multivariate Realised Kernels: Consistent Positive Semi-Definite Estimators of the Covariation of Equity Prices with Noise and Non-Synchronous Trading
  33. Realized kernels in practice: trades and quotes
  34. Quadratic Variation by Markov Chains
  35. Reduced-rank regression: A useful determinant identity
  36. Moving Average-Based Estimators of Integrated Variance
  37. Reduced-Rank Regression: A Useful Determinant Identity
  38. Realised Kernels in Practice: Trades and Quotes
  39. Designing Realised Kernels to Measure the Ex-Post Variation of Equity Prices in the Presence of Noise
  40. Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise
  41. The Greenspan years: an analysis of the magnitude and speed of the equity market response to FOMC announcements
  42. Subsampling Realised Kernels
  43. Realized Variance and Market Microstructure Noise
  44. Rejoinder
  45. Consistent ranking of volatility models
  46. Moving Average-Based Estimators of Integrated Variance
  47. Rejoinder (To Comments on Realized Variance and Market Microstructure Noise)
  48. A Test for Superior Predictive Ability
  49. A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data
  50. A forecast comparison of volatility models: does anything beat a GARCH(1,1)?
  51. Granger's representation theorem: A closed‐form expression for I(1) processes
  52. Realized Variance and Market Microstructure Noise
  53. A Test for Superior Predictive Ability
  54. Testing the Significance of Calendar Effects
  55. A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data
  56. The Greenspan Effect on Equity Markets: An Intraday Examination of U.S. Monetary Policy Announcements
  57. An Unbiased Measure of Realized Variance
  58. Choosing the Best Volatility Models: The Model Confidence Set Approach*
  59. Structural changes in the cointegrated vector autoregressive model
  60. Consistent Ranking of Volatility Models
  61. Asymptotic Tests of Composite Hypotheses
  62. Choosing the Best Volatility Models: The Model Confidence Set Approach
  63. Generalized Reduced Rank Regression
  64. A Simple Algebraic Proof of the Estimation Result in Reduced-Rank Regressions
  65. A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?
  66. Granger's Representation Theorem: A Closed-Form Expression for I(1) Processes
  67. Cointegration
  68. A Martingale Decomposition of Discrete Markov Chains