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Abstract Views |
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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 |
0 |
0 |
142 |
"Markov Switching Asymmetric Stochastic Volatility Model with Application to TOPIX Data -A Permutation Sampler Approach-"(in Japanese) |
0 |
0 |
0 |
38 |
0 |
0 |
1 |
92 |
"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 |
1 |
2 |
97 |
A Discrete/Continuous Choice Model on the Nonconvex Budget Set |
0 |
0 |
0 |
34 |
0 |
1 |
2 |
173 |
An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection |
0 |
0 |
1 |
110 |
0 |
0 |
1 |
237 |
An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection Problems |
0 |
0 |
0 |
131 |
1 |
1 |
1 |
106 |
Bayesian Analysis of Stochastic Quantiles Using a Smoothing Spline |
0 |
0 |
0 |
2 |
1 |
1 |
1 |
33 |
Bayesian Analysis of Time-Varying Quantiles Using a Smoothing Spline |
0 |
0 |
0 |
39 |
0 |
0 |
0 |
145 |
Bayesian Estimation and Particle Filter for Max-Stable Processes |
0 |
0 |
0 |
48 |
0 |
0 |
0 |
89 |
Bayesian Estimation of Demand Functions under Block Rate Pricing |
0 |
0 |
0 |
64 |
0 |
0 |
1 |
461 |
Bayesian Estimation of Demand Functions under Block Rate Pricing |
0 |
0 |
0 |
51 |
1 |
2 |
2 |
185 |
Bayesian Estimation of Demand Functions under Block Rate Pricing |
0 |
0 |
0 |
46 |
1 |
1 |
1 |
200 |
Bayesian Estimation of Demand Functions under Block-Rate Pricing |
0 |
0 |
0 |
63 |
0 |
0 |
1 |
260 |
Bayesian Estimation of Entry Games with Application to Japanese Airline Data |
0 |
0 |
0 |
68 |
0 |
0 |
0 |
211 |
Bayesian Estimation of Entry Games with Multiple Players and Multiple Equilibria |
0 |
1 |
1 |
38 |
0 |
3 |
4 |
79 |
Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes |
0 |
0 |
0 |
40 |
1 |
2 |
3 |
67 |
Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes |
0 |
0 |
0 |
65 |
1 |
1 |
2 |
69 |
Block Sampler and Posterior Mode Estimation for A Nonlinear and Non-Gaussian State-Space Model with Correlated Errors |
0 |
0 |
0 |
28 |
0 |
0 |
0 |
82 |
Block Sampler and Posterior Mode Estimation for A Nonlinear and Non-Gaussian State-space Model with Correlated Errors |
0 |
0 |
0 |
48 |
0 |
1 |
1 |
119 |
Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models |
0 |
0 |
0 |
70 |
0 |
0 |
0 |
139 |
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 |
0 |
0 |
0 |
35 |
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 |
26 |
0 |
0 |
2 |
29 |
Cholesky Realized Stochastic Volatility Model |
0 |
0 |
1 |
39 |
1 |
2 |
3 |
136 |
Discrete/Continuous Choice Model of the Residential Gas Demand on the Nonconvex Budget Set |
0 |
0 |
0 |
47 |
0 |
0 |
0 |
197 |
Duality-Based Analysis of Residential Gas Demand under Decreasing Block Rate Pricing |
0 |
0 |
1 |
43 |
0 |
1 |
3 |
168 |
Duopoly in the Japanese Airline Market: Bayesian Estimation for the Entry Game |
0 |
0 |
0 |
69 |
0 |
0 |
0 |
101 |
Duopoly in the Japanese Airline Market: Bayesian Estimation for the Entry Game |
0 |
0 |
0 |
27 |
0 |
0 |
0 |
91 |
Dynamic Equicorrelation Stochastic Volatility |
0 |
0 |
0 |
18 |
1 |
1 |
1 |
59 |
Dynamic Equicorrelation Stochastic Volatility |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
84 |
Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors |
0 |
0 |
0 |
61 |
0 |
0 |
0 |
132 |
Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors |
0 |
0 |
0 |
14 |
0 |
2 |
2 |
76 |
Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors |
0 |
0 |
0 |
24 |
0 |
1 |
1 |
115 |
Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
64 |
Efficient Gibbs Sampler for Bayesian Analysis of a Sample Selection Model |
0 |
0 |
0 |
136 |
1 |
1 |
1 |
349 |
Efficient estimation and particle filter for max-stable processes |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
34 |
Estimating Stochastic Volatility Models Using Daily Returns and Realized Volatility Simultaneously |
1 |
1 |
2 |
251 |
2 |
3 |
9 |
838 |
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 |
8 |
76 |
GH skew Student's t-distribution in stochastic volatility model with application to stock returns |
0 |
0 |
1 |
24 |
0 |
0 |
1 |
67 |
Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form |
0 |
0 |
0 |
17 |
0 |
0 |
1 |
52 |
Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form |
0 |
0 |
0 |
86 |
0 |
1 |
3 |
383 |
Generalized extreme value distribution with time-dependence using the AR and MA models in state space form |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
83 |
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 |
0 |
0 |
0 |
65 |
Leverage, heavy-tails and correlated jumps in stochastic volatility models |
0 |
0 |
1 |
112 |
0 |
0 |
1 |
229 |
Markov Switching Asymmetric Stochastic Volatility Model with Application to TOPIX Data -A Permutation Sampler Approach- |
0 |
0 |
0 |
22 |
1 |
1 |
1 |
60 |
Markov chain Monte Carlo method and its application to the stochastic volatility model |
0 |
0 |
0 |
24 |
0 |
0 |
0 |
99 |
Matrix Exponential Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
18 |
1 |
2 |
3 |
72 |
Matrix Exponential Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
21 |
1 |
1 |
1 |
52 |
Matrix Exponential Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
65 |
Matrix Exponential Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
24 |
1 |
1 |
2 |
58 |
Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
58 |
Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
20 |
Multiple-lock Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity |
0 |
0 |
0 |
26 |
0 |
0 |
0 |
19 |
Multivariate Stochastic Volatility Model with Realized Volatilities and Pairwise Realized Correlations |
0 |
0 |
0 |
45 |
0 |
0 |
0 |
73 |
Multivariate Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
67 |
Multivariate Stochastic Volatility with Cross Leverage |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
75 |
Multivariate stochastic volatility |
0 |
0 |
0 |
263 |
0 |
0 |
2 |
560 |
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 |
2 |
64 |
0 |
1 |
9 |
192 |
News Impact Curve for Stochastic Volatility Models |
0 |
0 |
0 |
124 |
0 |
0 |
1 |
573 |
Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach |
0 |
0 |
0 |
28 |
1 |
1 |
1 |
97 |
Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach |
0 |
0 |
0 |
31 |
0 |
0 |
1 |
117 |
Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach |
0 |
0 |
0 |
62 |
0 |
0 |
1 |
236 |
Particle rolling MCMC with Double Block Sampling: Conditional SMC Update Approach |
0 |
0 |
0 |
14 |
0 |
1 |
1 |
30 |
Particle rolling MCMC with double block sampling: conditional SMC update approach |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
26 |
Realized Stochastic Volatility with Leverage and Long Memory |
0 |
0 |
0 |
34 |
1 |
1 |
2 |
73 |
Realized stochastic volatility with leverage and long memory |
0 |
0 |
0 |
77 |
0 |
0 |
0 |
103 |
Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution |
0 |
0 |
0 |
32 |
0 |
0 |
0 |
172 |
Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models |
0 |
0 |
0 |
39 |
0 |
0 |
0 |
97 |
Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student?s t-Distribution |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
79 |
Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution |
0 |
0 |
0 |
147 |
0 |
0 |
4 |
350 |
Stochastic Volatility with Leverage: Fast Likelihood Inference |
0 |
0 |
0 |
171 |
0 |
1 |
1 |
380 |
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 |
0 |
1 |
2 |
95 |
Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student's t-distribution |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
101 |
Stochastic volatility with leverage: fast likelihood inference |
0 |
0 |
0 |
336 |
1 |
2 |
5 |
913 |
Tobit Model with Covariate Dependent Thresholds |
0 |
0 |
0 |
56 |
0 |
0 |
0 |
141 |
Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution |
0 |
0 |
0 |
39 |
0 |
0 |
1 |
70 |
Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution |
0 |
0 |
0 |
56 |
0 |
1 |
2 |
133 |
Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution |
0 |
0 |
0 |
14 |
0 |
0 |
3 |
60 |
Total Working Papers |
1 |
2 |
10 |
4,110 |
19 |
42 |
105 |
12,324 |