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12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Central Limit Theorem for Realised Power and Bipower Variations of Continuous Semimartingales |
4 |
9 |
56 |
158 |
13 |
29 |
114 |
464 |
| A Central Limit Theorem for Realised Power and Bipower Variations of Continuous Semimartingales |
1 |
3 |
15 |
76 |
2 |
8 |
28 |
266 |
| A Feasible Central Limit Theory for Realised Volatility Under Leverage |
3 |
7 |
15 |
101 |
5 |
15 |
48 |
494 |
| A feasible central limit theory for realised volatility under leverage |
0 |
0 |
7 |
77 |
2 |
3 |
16 |
291 |
| Aggregation and Model Construction for Volatility Models |
0 |
0 |
0 |
1 |
5 |
9 |
30 |
768 |
| Analytic convergence rates and parameterisation issues for the Gibbs sampler applied to state space models |
3 |
5 |
14 |
170 |
5 |
8 |
28 |
585 |
| Autoregressive conditional root model |
2 |
3 |
13 |
168 |
5 |
8 |
58 |
745 |
| BIN Models for Trade-by-Trade Data. Modelling the Number of Trades in a Fixed Interval of Time |
1 |
3 |
29 |
196 |
8 |
18 |
73 |
389 |
| Bayesian inference based only on simulated likelihood: particle filter analysis of dynamic economic models |
4 |
16 |
29 |
29 |
19 |
50 |
103 |
103 |
| Bayesian inference based only on simulated likelihood: particle filter analysis of dynamic economic models |
4 |
5 |
83 |
83 |
10 |
14 |
96 |
96 |
| Comment on Garland B. Durham and A. Ronald Gallant's "Numerical techniques for maximum likelihood estimation of continuous-time diffusion processes" |
0 |
0 |
5 |
117 |
2 |
7 |
35 |
500 |
| Computationally-intensive Econometrics using a Distributed Matrix-programming Language |
3 |
3 |
15 |
157 |
8 |
15 |
79 |
726 |
| Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise |
5 |
11 |
36 |
145 |
7 |
24 |
93 |
304 |
| Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise |
1 |
4 |
11 |
50 |
2 |
8 |
32 |
149 |
| Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise |
1 |
3 |
20 |
53 |
3 |
10 |
52 |
168 |
| Dynamics of trade-by-trade price movements: decomposition and models |
1 |
3 |
12 |
111 |
3 |
6 |
25 |
225 |
| Dynamics of trade-by-trade price movements: decomposition and models |
2 |
12 |
34 |
208 |
9 |
32 |
87 |
519 |
| Econometric Analysis of Realised Covariation: High Frequency Covariance, Regression and Correlation in Financial Economics |
4 |
10 |
57 |
260 |
23 |
49 |
167 |
868 |
| Econometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models |
3 |
6 |
28 |
72 |
4 |
10 |
51 |
162 |
| Econometric analysis of realised covariation: high frequency covariance, regression and correlation in financial economics |
3 |
11 |
41 |
310 |
6 |
15 |
73 |
590 |
| Econometric analysis of realised volatility and its use in estimating stochastic volatility models |
2 |
9 |
33 |
366 |
5 |
23 |
88 |
790 |
| Econometrics of testing for jumps in financial economics using bipower variation |
1 |
7 |
52 |
223 |
6 |
19 |
103 |
447 |
| Econometrics of testing for jumps in financial economics using bipower variation |
1 |
3 |
24 |
162 |
5 |
9 |
44 |
301 |
| Estimating quadratic variation using realised volatility |
7 |
11 |
43 |
203 |
18 |
34 |
117 |
603 |
| Filtering via simulation: auxiliary particle filters |
2 |
12 |
46 |
626 |
11 |
28 |
134 |
1,534 |
| Fitting vast dimensional time-varying covariance models |
7 |
23 |
84 |
102 |
14 |
38 |
142 |
150 |
| Fitting vast dimensional time-varying covariance models |
3 |
11 |
35 |
80 |
10 |
22 |
74 |
89 |
| Generalized linear autoregressions |
1 |
3 |
17 |
322 |
4 |
11 |
46 |
759 |
| Higher order variation and stochastic volatility models |
0 |
1 |
8 |
71 |
1 |
5 |
18 |
218 |
| How accurate is the asymptotic approximation to the distribution of realised volatility? |
1 |
4 |
34 |
218 |
5 |
13 |
76 |
733 |
| Impact of jumps on returns and realised variances: econometric analysis of time-deformed Levy processes |
6 |
8 |
30 |
246 |
7 |
14 |
55 |
456 |
| Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form |
2 |
7 |
31 |
213 |
4 |
15 |
67 |
486 |
| Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space form |
1 |
1 |
6 |
173 |
2 |
2 |
16 |
516 |
| Integrated OU Processes |
2 |
5 |
24 |
236 |
4 |
9 |
44 |
567 |
| LIKELIHOOD-BASED ESTIMATION OF LATENT GENERALISED ARCH STRUCTURES |
0 |
2 |
12 |
22 |
1 |
4 |
23 |
59 |
| Likelihood Analysis of Non-Gaussian Parameter-Driven Models |
0 |
0 |
0 |
0 |
5 |
15 |
37 |
791 |
| Likelihood INference for Discretely Observed Non-linear Diffusions |
0 |
0 |
0 |
1 |
4 |
11 |
44 |
685 |
| Likelihood analysis of non-Gaussian parameter driven models |
0 |
4 |
15 |
161 |
2 |
13 |
39 |
499 |
| Likelihood based inference for diffusion driven models |
1 |
1 |
8 |
96 |
3 |
6 |
31 |
218 |
| Likelihood based inference for diffusion driven models |
3 |
8 |
26 |
126 |
6 |
14 |
59 |
299 |
| Likelihood inference for discretely observed non-linear diffusions |
0 |
2 |
15 |
117 |
3 |
7 |
33 |
301 |
| Likelihood-based estimation of latent generalised ARCH structures |
1 |
3 |
8 |
41 |
3 |
9 |
25 |
169 |
| Likelihood-based estimation of latent generalised ARCH structures |
2 |
3 |
14 |
99 |
3 |
5 |
29 |
228 |
| Likelihood-based estimation of latent generalised ARCH structures |
1 |
4 |
17 |
124 |
4 |
12 |
44 |
361 |
| Limit theorems for bipower variation in financial econometrics |
0 |
0 |
13 |
83 |
1 |
3 |
27 |
198 |
| Limit theorems for bipower variation in financial econometrics |
3 |
7 |
28 |
96 |
8 |
17 |
66 |
230 |
| Limit theorems for multipower variation in the presence of jumps |
0 |
6 |
29 |
82 |
5 |
25 |
67 |
187 |
| Limit theorems for multipower variation in the presence of jumps |
0 |
0 |
7 |
35 |
1 |
3 |
22 |
127 |
| Measuring and forecasting financial variability using realised variance with and without a model |
0 |
3 |
21 |
139 |
8 |
23 |
119 |
604 |
| Measuring downside risk - realised semivariance |
4 |
5 |
20 |
68 |
8 |
10 |
67 |
150 |
| Measuring downside risk - realised semivariance |
4 |
13 |
57 |
106 |
12 |
37 |
186 |
303 |
| Measuring downside risk — realised semivariance |
3 |
5 |
30 |
56 |
7 |
11 |
55 |
69 |
| Measuring downside risk-realised semivariance |
11 |
20 |
42 |
82 |
32 |
60 |
128 |
167 |
| Modelling and measuring volatility |
3 |
5 |
86 |
86 |
9 |
17 |
61 |
61 |
| Multipower Variation and Stochastic Volatility |
1 |
5 |
14 |
70 |
4 |
15 |
41 |
160 |
| Multipower Variation and Stochastic Volatility |
0 |
1 |
9 |
55 |
1 |
3 |
20 |
180 |
| Multivariate Realised Kernels: Consistent Positive Semi-Definite Estimators of the Covariation of Equity Prices with Noise and Non-Synchronous Trading |
1 |
5 |
19 |
19 |
2 |
8 |
22 |
22 |
| Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
1 |
3 |
18 |
18 |
6 |
13 |
37 |
37 |
| Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
2 |
5 |
22 |
22 |
11 |
19 |
56 |
56 |
| Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
3 |
3 |
8 |
29 |
6 |
8 |
34 |
54 |
| Multivariate realised kernels: consistent positive semin-definite estimators of the covariation of equity prices with noise and non-synchronous trading |
1 |
8 |
32 |
36 |
4 |
17 |
64 |
70 |
| Non-Gaussian OU Based Models and Some of their Uses in Financial Economics and Modelling by Levy Processes for Financial Econometrics |
0 |
0 |
0 |
2 |
3 |
6 |
32 |
187 |
| Non-Gaussian OU based models and some of their uses in financial economics |
0 |
3 |
26 |
141 |
2 |
8 |
57 |
273 |
| Normal Modified Stable Processes |
1 |
2 |
13 |
44 |
2 |
3 |
29 |
126 |
| Normal modified stable processes |
2 |
8 |
19 |
143 |
4 |
12 |
36 |
402 |
| Power Variation and Time Change |
5 |
6 |
25 |
101 |
9 |
17 |
49 |
259 |
| Power and bipower variation with stochastic volatility and jumps |
15 |
37 |
159 |
416 |
27 |
80 |
311 |
819 |
| Power variation & stochastic volatility: a review and some new results |
5 |
10 |
38 |
168 |
12 |
25 |
76 |
337 |
| Realised power variation and stochastic volatility models |
4 |
11 |
52 |
256 |
6 |
21 |
77 |
547 |
| Regular and Modified Kernel-Based Estimators of Integrated Variance: The Case with Independent Noise |
1 |
2 |
15 |
67 |
4 |
9 |
41 |
188 |
| Regular and Modified Kernel-Based Estimators of Integrated Variance: The Case with Independent Noise |
1 |
1 |
4 |
80 |
3 |
4 |
18 |
223 |
| STOCHASTIC VOLATILITY: LIKELIHOOD INFERENCE AND COMPARISON WITH ARCH MODELS |
12 |
28 |
84 |
1,483 |
21 |
45 |
162 |
3,741 |
| Some recent developments in stochastic volatility modelling |
2 |
6 |
27 |
320 |
11 |
23 |
61 |
610 |
| Statistical algorithms for models in state space using ssfpack 2.2 |
4 |
28 |
85 |
438 |
9 |
41 |
131 |
1,463 |
| Stochastic Volatility |
3 |
13 |
74 |
404 |
8 |
29 |
119 |
581 |
| Stochastic Volatility with Leverage: Fast Likelihood Inference |
0 |
3 |
13 |
137 |
2 |
6 |
26 |
236 |
| Stochastic Volatility: Origins and Overview |
1 |
4 |
58 |
58 |
5 |
10 |
38 |
38 |
| Stochastic Volatility: Origins and Overview |
3 |
10 |
34 |
104 |
7 |
20 |
68 |
169 |
| Stochastic Volatility: Origins and Overview |
5 |
9 |
53 |
170 |
6 |
13 |
72 |
110 |
| Stochastic volatility with leverage: fast likelihood inference |
1 |
9 |
30 |
179 |
14 |
28 |
95 |
461 |
| Stochastic volatility: likelihood inference and comparison with ARCH models |
10 |
41 |
133 |
879 |
24 |
66 |
220 |
2,014 |
| Stochastic volatility: likelihood inference and comparison with ARCH models |
6 |
20 |
64 |
527 |
11 |
32 |
109 |
970 |
| Subsampling realised kernels |
1 |
3 |
11 |
29 |
5 |
14 |
34 |
97 |
| Subsampling realised kernels |
1 |
4 |
8 |
37 |
3 |
9 |
29 |
128 |
| Subsampling realised kernels |
1 |
5 |
12 |
32 |
2 |
12 |
42 |
128 |
| Testing the Assumptions Behind the Use of Importance Sampling |
1 |
4 |
14 |
96 |
8 |
24 |
46 |
365 |
| The ACR model: a multivariate dynamic mixture autoregression |
3 |
7 |
54 |
108 |
10 |
21 |
116 |
190 |
| The Autoregressive Conditional Root (ACR) Model |
0 |
3 |
9 |
9 |
1 |
5 |
20 |
20 |
| The relationship between the conditional sum of squares and the exact likelihood for autoregressive moving average model |
1 |
1 |
5 |
77 |
7 |
13 |
49 |
501 |
| Variation, jumps, market frictions and high frequency data in financial econometrics |
7 |
9 |
16 |
118 |
23 |
29 |
50 |
222 |
| Variation, jumps, market frictions and high frequency data in financial econometrics |
8 |
13 |
47 |
167 |
11 |
20 |
87 |
358 |
| Variation, jumps, market frictions and high frequency data in financial econometrics |
4 |
8 |
32 |
102 |
9 |
25 |
85 |
207 |
| Total Working Papers |
234 |
648 |
2,771 |
14,544 |
665 |
1,635 |
6,133 |
38,316 |