Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Canonical Representation of Block Matrices with Applications to Covariance and Correlation Matrices |
1 |
2 |
2 |
19 |
2 |
3 |
4 |
30 |
A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)? |
0 |
0 |
1 |
1,213 |
0 |
0 |
7 |
2,436 |
A Markov Chain Estimator of Multivariate Volatility from High Frequency Data |
0 |
0 |
0 |
146 |
0 |
0 |
1 |
235 |
A Martingale Decomposition of Discrete Markov Chains |
0 |
0 |
0 |
81 |
0 |
0 |
0 |
69 |
A Multivariate Realized GARCH Model |
0 |
1 |
5 |
36 |
0 |
1 |
12 |
77 |
A New Method for Generating Random Correlation Matrices |
0 |
1 |
2 |
28 |
0 |
1 |
5 |
24 |
A New Parametrization of Correlation Matrices |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
23 |
An Unbiased and Powerful Test for Superior Predictive Ability |
1 |
1 |
4 |
523 |
1 |
2 |
7 |
1,226 |
Asymptotic Tests of Composite Hypotheses |
0 |
0 |
0 |
157 |
0 |
0 |
0 |
425 |
Characterizing Correlation Matrices that Admit a Clustered Factor Representation |
0 |
1 |
2 |
8 |
0 |
1 |
5 |
10 |
Choice of Sample Split in Out-of-Sample Forecast Evaluation |
0 |
0 |
0 |
87 |
3 |
6 |
9 |
200 |
Choice of Sample Split in Out-of-Sample Forecast Evaluation |
0 |
0 |
1 |
240 |
3 |
5 |
9 |
856 |
Choosing the Best Volatility Models:The Model Confidence Set Approach |
0 |
1 |
2 |
379 |
0 |
1 |
5 |
1,024 |
Choosing the best volatility models: the model confidence set approach |
0 |
0 |
0 |
248 |
0 |
0 |
0 |
841 |
Cluster GARCH |
0 |
2 |
12 |
12 |
0 |
3 |
7 |
7 |
Consumer Services, Employment and the Informal Economy |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
452 |
Convolution-t Distributions |
0 |
0 |
12 |
12 |
1 |
3 |
14 |
14 |
Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise |
0 |
0 |
0 |
132 |
0 |
0 |
4 |
524 |
Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise |
0 |
0 |
0 |
85 |
1 |
1 |
3 |
318 |
Equivalence Between Out-of-Sample Forecast Comparisons and Wald Statistics |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
80 |
Equivalence Between Out-of-Sample Forecast Comparisons and Wald Statistics |
0 |
0 |
0 |
103 |
0 |
0 |
4 |
128 |
Estimating the Persistence and the Autocorrelation Function of a Time Series that is Measured with Error |
0 |
0 |
0 |
116 |
0 |
1 |
4 |
330 |
Exponential GARCH Modeling with Realized Measures of Volatility |
0 |
0 |
0 |
107 |
0 |
0 |
2 |
254 |
Exponential GARCH Modeling with Realized Measures of Volatility |
0 |
0 |
1 |
74 |
0 |
0 |
3 |
316 |
How Should Parameter Estimation Be Tailored to the Objective? |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
10 |
Model confidence sets for forecasting models |
0 |
1 |
2 |
265 |
0 |
2 |
8 |
664 |
Multivariate Realised Kernels: Consistent Positive Semi-Definite Estimators of the Covariation of Equity Prices with Noise and Non-Synchronous Trading |
0 |
0 |
1 |
71 |
0 |
1 |
2 |
255 |
Multivariate realised kernels: Consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
0 |
0 |
1 |
9 |
0 |
1 |
5 |
94 |
Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
0 |
0 |
0 |
31 |
0 |
0 |
0 |
195 |
Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
0 |
0 |
0 |
150 |
0 |
0 |
2 |
423 |
Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
0 |
0 |
0 |
49 |
1 |
1 |
1 |
207 |
Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
0 |
0 |
1 |
90 |
1 |
1 |
3 |
382 |
Option Pricing with State-dependent Pricing Kernel |
0 |
0 |
0 |
34 |
0 |
0 |
0 |
22 |
Option Pricing with Time-Varying Volatility Risk Aversion |
0 |
0 |
2 |
12 |
0 |
0 |
8 |
23 |
Periodicity in Cryptocurrency Volatility and Liquidity |
0 |
0 |
2 |
20 |
0 |
1 |
4 |
41 |
Quadratic Variation by Markov Chains |
0 |
0 |
0 |
93 |
0 |
0 |
1 |
328 |
Realized Beta GARCH: A Multivariate GARCH Model with Realized Measures of Volatility and CoVolatility |
0 |
0 |
0 |
351 |
0 |
1 |
3 |
719 |
Realized Beta GARCH: A Multivariate GARCH Model with Realized Measures of Volatility and Covolatility |
0 |
0 |
0 |
62 |
0 |
0 |
7 |
299 |
Realized Beta GARCH: Multivariate GARCH Model with Realized Measures of Volatility and CoVolatility |
0 |
0 |
0 |
27 |
0 |
0 |
1 |
154 |
Realized GARCH, CBOE VIX, and the Volatility Risk Premium |
0 |
0 |
1 |
71 |
0 |
1 |
7 |
32 |
Realized GARCH: A Complete Model of Returns and Realized Measures of Volatility |
1 |
2 |
9 |
428 |
2 |
4 |
27 |
1,566 |
Realized Variance and IID Market Microstructure Noise |
0 |
0 |
0 |
319 |
0 |
1 |
1 |
917 |
Realized Wishart-GARCH: A Score-driven Multi-Asset Volatility Model |
0 |
0 |
0 |
83 |
0 |
0 |
3 |
96 |
Reduced-Rank Regression: A Useful Determinant Identity |
0 |
0 |
0 |
93 |
0 |
0 |
0 |
255 |
Regular and Modified Kernel-Based Estimators of Integrated Variance: The Case with Independent Noise |
0 |
0 |
1 |
116 |
2 |
3 |
9 |
437 |
Regular and Modified Kernel-Based Estimators of Integrated Variance: The Case with Independent Noise |
0 |
0 |
0 |
96 |
0 |
0 |
0 |
362 |
Relative Contagiousness of Emerging Virus Variants: An Analysis of the Alpha, Delta, and Omicron SARS-CoV-2 Variants |
0 |
0 |
1 |
4 |
0 |
0 |
2 |
17 |
Robust Estimation of Realized Correlation: New Insight about Intraday Fluctuations in Market Betas |
1 |
2 |
15 |
15 |
2 |
4 |
26 |
29 |
Structural Breaks in the Cointegrated Vector Autoregressive Model |
0 |
0 |
0 |
411 |
0 |
0 |
1 |
767 |
Structural Changes in the Cointegrated Vector Autoregressive Model |
0 |
0 |
0 |
524 |
0 |
0 |
2 |
1,389 |
Subsampling realised kernels |
0 |
0 |
0 |
53 |
0 |
0 |
0 |
239 |
Subsampling realised kernels |
0 |
0 |
0 |
45 |
0 |
0 |
0 |
254 |
Testing the significance of calendar effects |
0 |
0 |
1 |
669 |
0 |
0 |
3 |
1,792 |
The Johansen-Granger Representation Theorem: An Explicit Expression for I(1) Processes |
0 |
0 |
0 |
35 |
0 |
0 |
7 |
142 |
The Model Confidence Set |
0 |
0 |
4 |
218 |
1 |
3 |
8 |
729 |
Total Working Papers |
4 |
14 |
85 |
8,263 |
20 |
52 |
247 |
22,738 |
Journal Article |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Canonical Representation of Block Matrices with Applications to Covariance and Correlation Matrices |
1 |
2 |
3 |
3 |
6 |
28 |
36 |
36 |
A Dynamic Model of Vaccine Compliance: How Fake News Undermined the Danish HPV Vaccine Program |
1 |
2 |
2 |
13 |
1 |
2 |
6 |
43 |
A New Parametrization of Correlation Matrices |
0 |
2 |
5 |
18 |
1 |
4 |
10 |
58 |
A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data |
0 |
0 |
3 |
165 |
0 |
1 |
10 |
461 |
A Test for Superior Predictive Ability |
0 |
0 |
0 |
536 |
0 |
1 |
9 |
1,272 |
A forecast comparison of volatility models: does anything beat a GARCH(1,1)? |
1 |
2 |
5 |
1,427 |
5 |
11 |
53 |
4,057 |
A martingale decomposition of discrete Markov chains |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
33 |
A new method for generating random correlation matrices |
0 |
1 |
1 |
1 |
0 |
1 |
2 |
2 |
Characterizing correlation matrices that admit a clustered factor representation |
0 |
1 |
2 |
2 |
0 |
1 |
2 |
2 |
Choosing the Best Volatility Models: The Model Confidence Set Approach* |
0 |
1 |
2 |
107 |
0 |
1 |
11 |
470 |
Comment |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
24 |
Consistent ranking of volatility models |
0 |
1 |
7 |
441 |
0 |
3 |
15 |
1,096 |
Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise |
0 |
0 |
1 |
235 |
0 |
0 |
6 |
719 |
ESTIMATING THE PERSISTENCE AND THE AUTOCORRELATION FUNCTION OF A TIME SERIES THAT IS MEASURED WITH ERROR |
0 |
0 |
0 |
29 |
1 |
1 |
3 |
126 |
Equivalence Between Out‐of‐Sample Forecast Comparisons and Wald Statistics |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
37 |
Exponential GARCH Modeling With Realized Measures of Volatility |
0 |
0 |
6 |
44 |
1 |
1 |
16 |
151 |
Granger's representation theorem: A closed-form expression for I(1) processes |
0 |
0 |
0 |
436 |
0 |
2 |
4 |
1,837 |
How should parameter estimation be tailored to the objective? |
0 |
1 |
1 |
6 |
0 |
1 |
3 |
12 |
Moving Average-Based Estimators of Integrated Variance |
0 |
0 |
0 |
98 |
0 |
0 |
0 |
393 |
Multivariate realised kernels: Consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
0 |
0 |
3 |
125 |
2 |
6 |
21 |
431 |
Option Pricing with the Realized GARCH Model: An Analytical Approximation Approach |
0 |
0 |
0 |
5 |
0 |
1 |
1 |
34 |
Option pricing with state‐dependent pricing kernel |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
6 |
Periodicity in Cryptocurrency Volatility and Liquidity* |
0 |
0 |
0 |
0 |
1 |
2 |
4 |
4 |
REALIZED BETA GARCH: A MULTIVARIATE GARCH MODEL WITH REALIZED MEASURES OF VOLATILITY |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
76 |
Realized GARCH, CBOE VIX, and the Volatility Risk Premium |
1 |
1 |
3 |
3 |
2 |
4 |
8 |
8 |
Realized GARCH: a joint model for returns and realized measures of volatility |
0 |
0 |
0 |
0 |
1 |
5 |
10 |
345 |
Realized Variance and Market Microstructure Noise |
0 |
0 |
5 |
379 |
0 |
0 |
13 |
931 |
Realized Wishart-GARCH: A Score-driven Multi-Asset Volatility Model |
0 |
0 |
2 |
19 |
1 |
1 |
5 |
85 |
Rejoinder |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
58 |
Relative contagiousness of emerging virus variants: An analysis of the Alpha, Delta, and Omicron SARS-CoV-2 variants |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
2 |
Structural changes in the cointegrated vector autoregressive model |
0 |
0 |
1 |
371 |
0 |
0 |
2 |
778 |
Subsampling realised kernels |
0 |
0 |
0 |
52 |
0 |
0 |
1 |
218 |
Subsidising consumer services: effects on employment, welfare and the informal economy |
0 |
0 |
0 |
43 |
0 |
0 |
0 |
236 |
The Greenspan years: an analysis of the magnitude and speed of the equity market response to FOMC announcements |
0 |
0 |
0 |
53 |
0 |
0 |
0 |
164 |
The Model Confidence Set |
0 |
0 |
0 |
0 |
1 |
1 |
20 |
715 |
Total Journal Articles |
4 |
14 |
52 |
4,669 |
23 |
78 |
273 |
14,920 |