| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| "GH skew Student's t-distribution in stochastic volatility model with application to stock returns" (in Japanese) |
0 |
0 |
0 |
69 |
0 |
1 |
2 |
144 |
| "Markov Switching Asymmetric Stochastic Volatility Model with Application to TOPIX Data -A Permutation Sampler Approach-"(in Japanese) |
0 |
0 |
0 |
38 |
0 |
0 |
1 |
93 |
| "Markov chain Monte Carlo method and its application to the stochastic volatility model"(in Japanese) |
0 |
0 |
0 |
61 |
0 |
0 |
0 |
251 |
| A Discrete/Continuous Choice Model on a Nonconvex Budget Set |
0 |
0 |
0 |
35 |
0 |
3 |
5 |
101 |
| A Discrete/Continuous Choice Model on the Nonconvex Budget Set |
0 |
0 |
0 |
34 |
0 |
0 |
3 |
175 |
| An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection |
0 |
0 |
0 |
110 |
1 |
4 |
4 |
241 |
| An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection Problems |
0 |
0 |
0 |
131 |
0 |
1 |
2 |
107 |
| Bayesian Analysis of Stochastic Quantiles Using a Smoothing Spline |
0 |
0 |
0 |
2 |
0 |
0 |
3 |
35 |
| Bayesian Analysis of Time-Varying Quantiles Using a Smoothing Spline |
0 |
0 |
0 |
39 |
3 |
6 |
6 |
151 |
| Bayesian Estimation and Particle Filter for Max-Stable Processes |
0 |
0 |
0 |
48 |
2 |
5 |
8 |
97 |
| Bayesian Estimation of Demand Functions under Block Rate Pricing |
0 |
0 |
0 |
46 |
1 |
2 |
5 |
204 |
| Bayesian Estimation of Demand Functions under Block Rate Pricing |
0 |
0 |
0 |
64 |
3 |
4 |
5 |
466 |
| Bayesian Estimation of Demand Functions under Block Rate Pricing |
0 |
0 |
0 |
51 |
2 |
2 |
5 |
188 |
| Bayesian Estimation of Demand Functions under Block-Rate Pricing |
0 |
0 |
0 |
63 |
1 |
2 |
4 |
264 |
| Bayesian Estimation of Entry Games with Application to Japanese Airline Data |
0 |
0 |
0 |
68 |
0 |
3 |
4 |
215 |
| Bayesian Estimation of Entry Games with Multiple Players and Multiple Equilibria |
0 |
1 |
2 |
40 |
2 |
3 |
7 |
85 |
| Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes |
0 |
0 |
0 |
65 |
1 |
1 |
2 |
70 |
| Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes |
0 |
0 |
0 |
40 |
1 |
4 |
10 |
76 |
| Block Sampler and Posterior Mode Estimation for A Nonlinear and Non-Gaussian State-Space Model with Correlated Errors |
0 |
0 |
0 |
28 |
6 |
7 |
7 |
89 |
| Block Sampler and Posterior Mode Estimation for A Nonlinear and Non-Gaussian State-space Model with Correlated Errors |
1 |
1 |
1 |
49 |
2 |
3 |
3 |
122 |
| Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models |
0 |
0 |
0 |
70 |
1 |
6 |
6 |
145 |
| Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models (Published in "Computational Statistics and Data Analysis", 52-6, 2892-2910. February 2008. ) |
0 |
0 |
0 |
6 |
5 |
5 |
5 |
40 |
| Block Sampler and Posterior Mode Estimation for a Nonlinear and Non-Gaussian State-Space Model with Correlated Errors |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
308 |
| Cholesky Realized Stochastic Volatility Model |
0 |
0 |
0 |
39 |
1 |
3 |
5 |
139 |
| Cholesky Realized Stochastic Volatility Model |
0 |
0 |
0 |
26 |
1 |
6 |
9 |
38 |
| Discrete/Continuous Choice Model of the Residential Gas Demand on the Nonconvex Budget Set |
0 |
0 |
0 |
47 |
2 |
4 |
5 |
202 |
| Duality-Based Analysis of Residential Gas Demand under Decreasing Block Rate Pricing |
0 |
0 |
0 |
43 |
1 |
3 |
7 |
174 |
| Duopoly in the Japanese Airline Market: Bayesian Estimation for the Entry Game |
0 |
0 |
0 |
69 |
0 |
0 |
1 |
102 |
| Duopoly in the Japanese Airline Market: Bayesian Estimation for the Entry Game |
0 |
0 |
0 |
27 |
4 |
5 |
5 |
96 |
| Dynamic Equicorrelation Stochastic Volatility |
0 |
0 |
0 |
30 |
1 |
1 |
2 |
86 |
| Dynamic Equicorrelation Stochastic Volatility |
0 |
0 |
0 |
18 |
1 |
1 |
2 |
60 |
| Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors |
0 |
0 |
0 |
14 |
1 |
2 |
6 |
81 |
| Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors |
0 |
0 |
0 |
24 |
1 |
2 |
3 |
117 |
| Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors |
0 |
0 |
0 |
61 |
0 |
1 |
1 |
133 |
| Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors |
0 |
0 |
0 |
9 |
1 |
3 |
3 |
67 |
| Efficient Gibbs Sampler for Bayesian Analysis of a Sample Selection Model |
0 |
0 |
0 |
136 |
0 |
2 |
3 |
351 |
| Efficient estimation and particle filter for max-stable processes |
0 |
0 |
0 |
7 |
1 |
1 |
4 |
38 |
| Estimating Stochastic Volatility Models Using Daily Returns and Realized Volatility Simultaneously |
0 |
0 |
1 |
251 |
16 |
19 |
25 |
860 |
| Estimating Stochastic Volatility Models Using Daily Returns and Realized Volatility Simultaneously ( Revised in March 2008; Published in "Computational Statistics and Data Analysis", 53-6, 2404-2426. April 2009. ) |
0 |
0 |
0 |
25 |
0 |
1 |
4 |
79 |
| GH skew Student's t-distribution in stochastic volatility model with application to stock returns |
0 |
0 |
0 |
24 |
1 |
1 |
1 |
68 |
| Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form |
0 |
0 |
0 |
86 |
2 |
4 |
6 |
388 |
| Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form |
0 |
0 |
0 |
17 |
0 |
2 |
3 |
55 |
| Generalized extreme value distribution with time-dependence using the AR and MA models in state space form |
0 |
0 |
0 |
8 |
1 |
3 |
4 |
87 |
| Leverage, Heavy-Tails and Correlated Jumps in Stochastic Volatility Models (Revised in January 2008; Published in "Computational Statistics and Data Analysis", 53-6, 2335-2353. April 2009. ) |
0 |
0 |
0 |
21 |
2 |
2 |
3 |
68 |
| Leverage, heavy-tails and correlated jumps in stochastic volatility models |
0 |
0 |
0 |
112 |
0 |
2 |
4 |
233 |
| Markov Switching Asymmetric Stochastic Volatility Model with Application to TOPIX Data -A Permutation Sampler Approach- |
0 |
0 |
1 |
23 |
1 |
1 |
4 |
63 |
| Markov chain Monte Carlo method and its application to the stochastic volatility model |
0 |
0 |
0 |
24 |
2 |
3 |
5 |
104 |
| Matrix Exponential Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
24 |
1 |
1 |
2 |
59 |
| Matrix Exponential Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
22 |
0 |
1 |
1 |
66 |
| Matrix Exponential Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
21 |
0 |
1 |
3 |
54 |
| Matrix Exponential Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
18 |
1 |
2 |
5 |
76 |
| Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity |
0 |
0 |
0 |
16 |
0 |
0 |
2 |
60 |
| Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
22 |
| Multiple-lock Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity |
0 |
0 |
0 |
26 |
0 |
1 |
1 |
20 |
| Multivariate Stochastic Volatility Model with Realized Volatilities and Pairwise Realized Correlations |
0 |
0 |
0 |
45 |
1 |
4 |
4 |
77 |
| Multivariate Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
0 |
1 |
5 |
6 |
80 |
| Multivariate Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
0 |
3 |
3 |
3 |
70 |
| Multivariate stochastic volatility |
0 |
0 |
0 |
263 |
3 |
12 |
15 |
575 |
| Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss and T. Mikosch), 365-400. Springer-Verlag: New York. April 2009. ) |
0 |
0 |
4 |
68 |
4 |
5 |
14 |
206 |
| News Impact Curve for Stochastic Volatility Models |
0 |
0 |
0 |
124 |
1 |
5 |
7 |
580 |
| Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach |
0 |
0 |
1 |
63 |
1 |
4 |
5 |
241 |
| Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach |
0 |
0 |
0 |
31 |
2 |
4 |
5 |
122 |
| Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach |
0 |
0 |
0 |
28 |
1 |
1 |
3 |
99 |
| Particle rolling MCMC with Double Block Sampling: Conditional SMC Update Approach |
0 |
0 |
0 |
14 |
9 |
9 |
11 |
40 |
| Particle rolling MCMC with double block sampling: conditional SMC update approach |
0 |
0 |
0 |
14 |
0 |
1 |
1 |
27 |
| Realized Stochastic Volatility with Leverage and Long Memory |
0 |
0 |
0 |
34 |
1 |
2 |
3 |
75 |
| Realized stochastic volatility with leverage and long memory |
0 |
0 |
0 |
77 |
0 |
6 |
6 |
109 |
| Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution |
0 |
0 |
0 |
32 |
1 |
3 |
7 |
179 |
| Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models |
0 |
0 |
0 |
39 |
0 |
3 |
4 |
101 |
| Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student?s t-Distribution |
0 |
1 |
1 |
22 |
0 |
3 |
4 |
83 |
| Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution |
0 |
0 |
0 |
147 |
2 |
2 |
5 |
355 |
| Stochastic Volatility with Leverage: Fast Likelihood Inference |
0 |
0 |
0 |
171 |
3 |
5 |
6 |
386 |
| Stochastic Volatility with Leverage: Fast Likelihood Inference (Revised in April 2006, subsequently published in "Journal of Econometrics", 140, 425-449, 2007. ) |
0 |
0 |
0 |
18 |
1 |
2 |
5 |
100 |
| Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student's t-distribution |
0 |
0 |
0 |
1 |
3 |
11 |
13 |
114 |
| Stochastic volatility with leverage: fast likelihood inference |
0 |
0 |
0 |
336 |
1 |
3 |
7 |
919 |
| Tobit Model with Covariate Dependent Thresholds |
0 |
0 |
0 |
56 |
0 |
1 |
2 |
143 |
| Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution |
1 |
1 |
1 |
15 |
1 |
4 |
7 |
67 |
| Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution |
0 |
0 |
0 |
56 |
1 |
1 |
2 |
134 |
| Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution |
0 |
0 |
0 |
39 |
0 |
4 |
5 |
75 |
| Total Working Papers |
2 |
4 |
12 |
4,121 |
113 |
244 |
378 |
12,670 |
LogEc is hosted by the
Örebro University School of Business.