All Stories

  1. Convolution-t distributions
  2. Option Pricing with Time-Varying Volatility Risk Aversion
  3. Cluster GARCH
  4. A Canonical Representation of Block Matrices with Applications to Covariance and Correlation Matrices
  5. A new method for generating random correlation matrices
  6. Characterizing correlation matrices that admit a clustered factor representation
  7. Characterizing Correlation Matrices that Admit a Clustered Factor Representation
  8. Periodicity in Cryptocurrency Volatility and Liquidity
  9. How should parameter estimation be tailored to the objective?
  10. Realized GARCH, CBOE VIX, and the Volatility Risk Premium
  11. Option pricing with state‐dependent pricing kernel
  12. Relative contagiousness of emerging virus variants: An analysis of the Alpha, Delta, and Omicron SARS-CoV-2 variants
  13. A New Parametrization of Correlation Matrices
  14. The contagious nature of a vaccine scare: How the introduction of HPV vaccination lifted and eroded MMR vaccination in Denmark
  15. Resilience of HPV vaccine uptake in Denmark: Decline and recovery
  16. A Dynamic Model of Vaccine Compliance: How Fake News Undermined the Danish HPV Vaccine Program
  17. Realized Wishart-GARCH: A Score-driven Multi-Asset Volatility Model*
  18. Exponential GARCH Modeling With Realized Measures of Volatility
  19. A Markov Chain Estimator of Multivariate Volatility from High Frequency Data
  20. A martingale decomposition of discrete Markov chains
  21. Comment
  22. Equivalence Between Out-of-Sample Forecast Comparisons and Wald Statistics
  23. REALIZED BETA GARCH: A MULTIVARIATE GARCH MODEL WITH REALIZED MEASURES OF VOLATILITY
  24. ESTIMATING THE PERSISTENCE AND THE AUTOCORRELATION FUNCTION OF A TIME SERIES THAT IS MEASURED WITH ERROR
  25. Forecasting Volatility Using High-Frequency Data
  26. Multivariate realised kernels: Consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
  27. Realized GARCH: a joint model for returns and realized measures of volatility
  28. Subsampling realised kernels
  29. The Model Confidence Set
  30. The Model Confidence Set
  31. Realized GARCH: A Joint Model of Returns and Realized Measures of Volatility
  32. Estimating the Persistence and the Autocorrelation Function of a Time Series that is Measured with Error
  33. Multivariate Realised Kernels: Consistent Positive Semi-Definite Estimators of the Covariation of Equity Prices with Noise and Non-Synchronous Trading
  34. Realized kernels in practice: trades and quotes
  35. Quadratic Variation by Markov Chains
  36. Reduced-rank regression: A useful determinant identity
  37. Moving Average-Based Estimators of Integrated Variance
  38. Reduced-Rank Regression: A Useful Determinant Identity
  39. Realised Kernels in Practice: Trades and Quotes
  40. Designing Realised Kernels to Measure the Ex-Post Variation of Equity Prices in the Presence of Noise
  41. Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise
  42. The Greenspan years: an analysis of the magnitude and speed of the equity market response to FOMC announcements
  43. Subsampling Realised Kernels
  44. Realized Variance and Market Microstructure Noise
  45. Rejoinder
  46. Consistent ranking of volatility models
  47. Moving Average-Based Estimators of Integrated Variance
  48. Rejoinder (To Comments on Realized Variance and Market Microstructure Noise)
  49. A Test for Superior Predictive Ability
  50. A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data
  51. A forecast comparison of volatility models: does anything beat a GARCH(1,1)?
  52. Granger's representation theorem: A closed‐form expression for I(1) processes
  53. Realized Variance and Market Microstructure Noise
  54. A Test for Superior Predictive Ability
  55. Testing the Significance of Calendar Effects
  56. A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data
  57. The Greenspan Effect on Equity Markets: An Intraday Examination of U.S. Monetary Policy Announcements
  58. An Unbiased Measure of Realized Variance
  59. Choosing the Best Volatility Models: The Model Confidence Set Approach*
  60. Structural changes in the cointegrated vector autoregressive model
  61. Consistent Ranking of Volatility Models
  62. Asymptotic Tests of Composite Hypotheses
  63. Choosing the Best Volatility Models: The Model Confidence Set Approach
  64. Generalized Reduced Rank Regression
  65. A Simple Algebraic Proof of the Estimation Result in Reduced-Rank Regressions
  66. A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?
  67. Granger's Representation Theorem: A Closed-Form Expression for I(1) Processes
  68. Cointegration
  69. A Martingale Decomposition of Discrete Markov Chains