| 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 |
0 |
0 |
2 |
19 |
0 |
0 |
4 |
30 |
| A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)? |
1 |
1 |
3 |
1,215 |
1 |
2 |
7 |
2,440 |
| A Markov Chain Estimator of Multivariate Volatility from High Frequency Data |
0 |
0 |
0 |
146 |
0 |
0 |
1 |
236 |
| A Martingale Decomposition of Discrete Markov Chains |
0 |
0 |
0 |
81 |
0 |
0 |
1 |
70 |
| A Multivariate Realized GARCH Model |
0 |
2 |
6 |
38 |
1 |
6 |
18 |
86 |
| A New Method for Generating Random Correlation Matrices |
0 |
0 |
1 |
28 |
0 |
2 |
5 |
27 |
| A New Parametrization of Correlation Matrices |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
23 |
| An Unbiased and Powerful Test for Superior Predictive Ability |
0 |
1 |
2 |
524 |
0 |
2 |
4 |
1,228 |
| Asymptotic Tests of Composite Hypotheses |
0 |
0 |
0 |
157 |
0 |
0 |
0 |
425 |
| Characterizing Correlation Matrices that Admit a Clustered Factor Representation |
0 |
0 |
1 |
8 |
0 |
0 |
3 |
10 |
| Choice of Sample Split in Out-of-Sample Forecast Evaluation |
0 |
0 |
0 |
87 |
0 |
1 |
9 |
201 |
| Choice of Sample Split in Out-of-Sample Forecast Evaluation |
0 |
0 |
1 |
240 |
0 |
0 |
9 |
858 |
| Choosing the Best Volatility Models:The Model Confidence Set Approach |
0 |
1 |
2 |
380 |
0 |
1 |
2 |
1,025 |
| Choosing the best volatility models: the model confidence set approach |
0 |
0 |
0 |
248 |
0 |
1 |
1 |
842 |
| Cluster GARCH |
0 |
0 |
12 |
12 |
0 |
0 |
9 |
9 |
| Consumer Services, Employment and the Informal Economy |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
452 |
| Convolution-t Distributions |
0 |
1 |
13 |
13 |
0 |
2 |
14 |
16 |
| Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise |
0 |
1 |
1 |
133 |
0 |
2 |
5 |
526 |
| Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise |
0 |
1 |
3 |
88 |
1 |
4 |
9 |
324 |
| 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 |
129 |
| Estimating the Persistence and the Autocorrelation Function of a Time Series that is Measured with Error |
0 |
0 |
0 |
116 |
0 |
0 |
3 |
331 |
| Exponential GARCH Modeling with Realized Measures of Volatility |
0 |
0 |
1 |
74 |
0 |
0 |
2 |
317 |
| Exponential GARCH Modeling with Realized Measures of Volatility |
0 |
0 |
0 |
107 |
0 |
0 |
1 |
255 |
| How Should Parameter Estimation Be Tailored to the Objective? |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
11 |
| Model confidence sets for forecasting models |
0 |
0 |
2 |
265 |
2 |
3 |
9 |
667 |
| Moments by Integrating the Moment-Generating Function |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
| 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 |
4 |
257 |
| Multivariate realised kernels: Consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
0 |
0 |
0 |
9 |
0 |
0 |
2 |
94 |
| Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
0 |
0 |
0 |
90 |
0 |
0 |
2 |
382 |
| 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 |
1 |
196 |
| 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 |
1 |
2 |
424 |
| Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
0 |
0 |
0 |
49 |
0 |
0 |
1 |
207 |
| Option Pricing with State-dependent Pricing Kernel |
0 |
0 |
0 |
34 |
0 |
1 |
1 |
23 |
| Option Pricing with Time-Varying Volatility Risk Aversion |
0 |
0 |
1 |
13 |
1 |
2 |
8 |
28 |
| Periodicity in Cryptocurrency Volatility and Liquidity |
0 |
1 |
3 |
22 |
1 |
3 |
7 |
46 |
| Quadratic Variation by Markov Chains |
0 |
0 |
0 |
93 |
0 |
1 |
1 |
329 |
| Realized Beta GARCH: A Multivariate GARCH Model with Realized Measures of Volatility and CoVolatility |
0 |
0 |
0 |
351 |
0 |
0 |
2 |
720 |
| Realized Beta GARCH: A Multivariate GARCH Model with Realized Measures of Volatility and Covolatility |
0 |
0 |
0 |
62 |
0 |
0 |
3 |
300 |
| Realized Beta GARCH: Multivariate GARCH Model with Realized Measures of Volatility and CoVolatility |
0 |
0 |
0 |
27 |
0 |
0 |
0 |
154 |
| Realized GARCH, CBOE VIX, and the Volatility Risk Premium |
0 |
0 |
1 |
71 |
0 |
0 |
7 |
35 |
| Realized GARCH: A Complete Model of Returns and Realized Measures of Volatility |
0 |
0 |
4 |
429 |
1 |
1 |
17 |
1,570 |
| Realized Variance and IID Market Microstructure Noise |
0 |
0 |
0 |
319 |
0 |
0 |
1 |
917 |
| Realized Wishart-GARCH: A Score-driven Multi-Asset Volatility Model |
0 |
0 |
0 |
83 |
0 |
2 |
5 |
99 |
| Reduced-Rank Regression: A Useful Determinant Identity |
0 |
0 |
0 |
93 |
0 |
1 |
2 |
257 |
| Regular and Modified Kernel-Based Estimators of Integrated Variance: The Case with Independent Noise |
0 |
0 |
0 |
96 |
1 |
2 |
2 |
364 |
| Regular and Modified Kernel-Based Estimators of Integrated Variance: The Case with Independent Noise |
0 |
0 |
0 |
116 |
0 |
1 |
7 |
438 |
| Relative Contagiousness of Emerging Virus Variants: An Analysis of the Alpha, Delta, and Omicron SARS-CoV-2 Variants |
0 |
0 |
0 |
4 |
0 |
0 |
2 |
19 |
| Robust Estimation of Realized Correlation: New Insight about Intraday Fluctuations in Market Betas |
0 |
0 |
3 |
16 |
0 |
0 |
8 |
30 |
| Structural Breaks in the Cointegrated Vector Autoregressive Model |
0 |
0 |
0 |
411 |
0 |
1 |
1 |
768 |
| Structural Changes in the Cointegrated Vector Autoregressive Model |
0 |
1 |
1 |
525 |
2 |
3 |
3 |
1,392 |
| Subsampling realised kernels |
0 |
0 |
0 |
53 |
0 |
1 |
1 |
240 |
| Subsampling realised kernels |
0 |
0 |
0 |
45 |
0 |
0 |
0 |
254 |
| Testing the significance of calendar effects |
0 |
0 |
0 |
669 |
0 |
0 |
0 |
1,792 |
| The Johansen-Granger Representation Theorem: An Explicit Expression for I(1) Processes |
0 |
0 |
1 |
36 |
0 |
0 |
4 |
144 |
| The Model Confidence Set |
0 |
0 |
3 |
219 |
0 |
0 |
6 |
730 |
| Total Working Papers |
1 |
10 |
68 |
8,282 |
11 |
47 |
222 |
22,828 |
| 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 |
0 |
0 |
4 |
4 |
1 |
7 |
48 |
48 |
| A Dynamic Model of Vaccine Compliance: How Fake News Undermined the Danish HPV Vaccine Program |
0 |
0 |
2 |
13 |
0 |
1 |
4 |
44 |
| A New Parametrization of Correlation Matrices |
0 |
1 |
4 |
20 |
1 |
2 |
8 |
61 |
| A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data |
0 |
0 |
1 |
165 |
0 |
1 |
8 |
464 |
| A Test for Superior Predictive Ability |
0 |
1 |
1 |
537 |
0 |
3 |
9 |
1,275 |
| A forecast comparison of volatility models: does anything beat a GARCH(1,1)? |
1 |
1 |
9 |
1,433 |
3 |
13 |
64 |
4,083 |
| A martingale decomposition of discrete Markov chains |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
33 |
| A new method for generating random correlation matrices |
1 |
1 |
2 |
2 |
1 |
1 |
4 |
4 |
| Characterizing correlation matrices that admit a clustered factor representation |
0 |
0 |
1 |
2 |
0 |
0 |
1 |
2 |
| Choosing the Best Volatility Models: The Model Confidence Set Approach* |
0 |
1 |
2 |
108 |
0 |
2 |
9 |
473 |
| Comment |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
24 |
| Consistent ranking of volatility models |
1 |
2 |
7 |
443 |
2 |
3 |
13 |
1,099 |
| Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise |
0 |
0 |
0 |
235 |
0 |
1 |
3 |
721 |
| ESTIMATING THE PERSISTENCE AND THE AUTOCORRELATION FUNCTION OF A TIME SERIES THAT IS MEASURED WITH ERROR |
0 |
0 |
0 |
29 |
0 |
0 |
4 |
128 |
| Equivalence Between Out‐of‐Sample Forecast Comparisons and Wald Statistics |
0 |
0 |
1 |
7 |
0 |
0 |
1 |
38 |
| Exponential GARCH Modeling With Realized Measures of Volatility |
0 |
0 |
4 |
47 |
1 |
3 |
16 |
160 |
| Granger's representation theorem: A closed-form expression for I(1) processes |
0 |
0 |
0 |
436 |
0 |
1 |
6 |
1,840 |
| How should parameter estimation be tailored to the objective? |
0 |
0 |
1 |
6 |
0 |
1 |
4 |
14 |
| 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 |
2 |
125 |
0 |
0 |
14 |
432 |
| Option Pricing with the Realized GARCH Model: An Analytical Approximation Approach |
0 |
0 |
0 |
5 |
0 |
1 |
2 |
35 |
| Option pricing with state‐dependent pricing kernel |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
6 |
| Periodicity in Cryptocurrency Volatility and Liquidity* |
0 |
0 |
1 |
1 |
0 |
4 |
10 |
10 |
| REALIZED BETA GARCH: A MULTIVARIATE GARCH MODEL WITH REALIZED MEASURES OF VOLATILITY |
0 |
0 |
0 |
22 |
0 |
1 |
2 |
77 |
| Realized GARCH, CBOE VIX, and the Volatility Risk Premium |
0 |
0 |
5 |
5 |
2 |
4 |
19 |
19 |
| Realized GARCH: a joint model for returns and realized measures of volatility |
0 |
0 |
0 |
0 |
2 |
4 |
12 |
349 |
| Realized Variance and Market Microstructure Noise |
0 |
0 |
5 |
380 |
3 |
4 |
15 |
940 |
| Realized Wishart-GARCH: A Score-driven Multi-Asset Volatility Model |
0 |
0 |
2 |
19 |
0 |
1 |
6 |
87 |
| Rejoinder |
0 |
0 |
0 |
17 |
0 |
1 |
1 |
59 |
| 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 |
0 |
371 |
0 |
3 |
4 |
782 |
| Subsampling realised kernels |
0 |
0 |
0 |
52 |
0 |
0 |
0 |
218 |
| Subsidising consumer services: effects on employment, welfare and the informal economy |
0 |
1 |
1 |
44 |
0 |
1 |
2 |
238 |
| 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 |
0 |
2 |
18 |
723 |
| Total Journal Articles |
3 |
8 |
55 |
4,692 |
16 |
65 |
307 |
15,045 |
LogEc is hosted by the
Örebro University School of Business.