| 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 |
4 |
6 |
148 |
| An evolution of global and regional banking networks: A focus on Japanese banks’ international expansion |
0 |
0 |
1 |
22 |
0 |
7 |
20 |
65 |
| Are Household Inflation Expectations Anchored in Japan? |
0 |
0 |
0 |
33 |
0 |
8 |
14 |
98 |
| Bank Health and Investment: An Analysis of Unlisted Companies in Japan |
0 |
0 |
0 |
50 |
0 |
0 |
1 |
234 |
| Bank Health and Investment: An Analysis of Unlisted Companies in Japan |
0 |
0 |
0 |
39 |
0 |
3 |
7 |
227 |
| Bank Health and Investment: An Analysis of Unlisted Companies in Japan |
0 |
0 |
1 |
8 |
0 |
3 |
9 |
75 |
| Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy |
0 |
0 |
1 |
183 |
3 |
7 |
19 |
415 |
| Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy |
0 |
0 |
1 |
709 |
0 |
11 |
25 |
2,006 |
| Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model with the Ordering of Variables for the Japanese Economy and Monetary Policy |
0 |
0 |
3 |
178 |
0 |
7 |
13 |
380 |
| Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes |
0 |
0 |
0 |
48 |
1 |
3 |
5 |
31 |
| Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes |
0 |
0 |
0 |
40 |
1 |
5 |
12 |
81 |
| Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes |
0 |
1 |
1 |
66 |
1 |
4 |
5 |
74 |
| Characteristics of Uncertainty Indices in the Macroeconomy |
0 |
0 |
3 |
28 |
2 |
7 |
14 |
110 |
| Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies Undergoing Financial Distress |
0 |
0 |
0 |
90 |
0 |
2 |
3 |
255 |
| Deteriorating Bank Health and Lending in Japan: Evidence from Unlisted Companies Undergoing Financial Distress (Subsequently published in "Journal of the Asia Pacific Economy" Vo.11, No.4, December 2006, pp.482-501. ) |
0 |
0 |
1 |
28 |
0 |
2 |
11 |
240 |
| Disagreement in households' inflation expectations and its evolution |
0 |
0 |
0 |
57 |
1 |
5 |
8 |
137 |
| EGARCH and Stochastic Volatility: Modeling Jumps and Heavy-tails for Stock Returns |
0 |
0 |
1 |
343 |
3 |
4 |
13 |
804 |
| Effectiveness of unconventional monetary policies in a low interest rate environment |
0 |
0 |
2 |
112 |
2 |
6 |
23 |
217 |
| Estimating inflation risk premia from nominal and real yield curves using a shadow-rate model |
1 |
1 |
5 |
73 |
5 |
9 |
24 |
182 |
| Extracting Firms' Short-Term Inflation Expectations from the Economy Watchers Survey Using Text Analysis |
0 |
0 |
0 |
29 |
1 |
3 |
9 |
68 |
| Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form |
0 |
0 |
0 |
86 |
1 |
5 |
10 |
393 |
| Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form |
0 |
0 |
0 |
17 |
0 |
0 |
3 |
55 |
| Generalized extreme value distribution with time-dependence using the AR and MA models in state space form |
0 |
0 |
0 |
8 |
0 |
1 |
5 |
88 |
| Has Trend Inflation Shifted?: An Empirical Analysis with a Regime-Switching Model |
0 |
0 |
1 |
73 |
1 |
9 |
14 |
157 |
| Household Inflation Expectations: The Term Structure and the Anchor Effects of Monetary Policy |
0 |
0 |
0 |
55 |
0 |
7 |
9 |
91 |
| How Well Do the Sticky Price Models Explain the Disaggregated Price Responses to Aggregate Technology and Monetary Policy Shocks? |
0 |
0 |
1 |
3 |
0 |
6 |
8 |
71 |
| How well do the sticky price models explain the disaggregated price responses to aggregate technology and monetary policy shocks? |
0 |
0 |
0 |
78 |
0 |
3 |
5 |
244 |
| Identifying Conventional and Unconventional Monetary Policy Shocks: A Latent Threshold Approach |
0 |
0 |
1 |
111 |
0 |
4 |
7 |
198 |
| Identifying Oil Price Shocks and Their Consequences:Role of Expectations and Financial Factors in the Crude Oil Market |
0 |
0 |
0 |
63 |
7 |
17 |
35 |
201 |
| Identifying oil price shocks and their consequences: the role of expectations in the crude oil market |
0 |
0 |
1 |
80 |
4 |
8 |
12 |
208 |
| 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 |
2 |
5 |
70 |
| Leverage, heavy-tails and correlated jumps in stochastic volatility models |
0 |
0 |
0 |
112 |
1 |
9 |
13 |
242 |
| Monetary Policy Transmission under Zero Interest Rates: An Extended Time-Varying Parameter Vector Autoregression Approach |
0 |
0 |
0 |
237 |
3 |
5 |
10 |
461 |
| Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting |
0 |
0 |
2 |
46 |
1 |
6 |
17 |
96 |
| Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting |
0 |
0 |
1 |
30 |
4 |
8 |
14 |
74 |
| On the Reliability of Japanese Inflation Expectations Using Purchasing Power Parity |
0 |
0 |
0 |
50 |
3 |
5 |
12 |
86 |
| Slow Trade: Structural and Cyclical Factors in Global Trade Slowdown |
0 |
0 |
0 |
87 |
3 |
11 |
15 |
520 |
| Steady-state growth |
0 |
1 |
2 |
49 |
5 |
21 |
46 |
497 |
| Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution |
0 |
0 |
0 |
32 |
2 |
3 |
10 |
182 |
| Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models |
0 |
0 |
0 |
39 |
1 |
1 |
5 |
102 |
| Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student?s t-Distribution |
0 |
0 |
1 |
22 |
1 |
3 |
7 |
86 |
| Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution |
0 |
0 |
0 |
147 |
3 |
5 |
10 |
360 |
| Stochastic Volatility with Leverage: Fast Likelihood Inference |
0 |
1 |
1 |
172 |
2 |
7 |
13 |
393 |
| 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 |
2 |
7 |
12 |
107 |
| Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student's t-distribution |
0 |
0 |
0 |
1 |
1 |
5 |
17 |
119 |
| Stochastic volatility with leverage: fast likelihood inference |
0 |
0 |
0 |
0 |
2 |
5 |
8 |
80 |
| Stochastic volatility with leverage: fast likelihood inference |
0 |
0 |
0 |
336 |
2 |
9 |
15 |
928 |
| Supplementary Paper Series for the "Assessment" (2): Estimating Effects of Expansionary Monetary Policy since the Introduction of Quantitative and Qualitative Monetary Easing (QQE) Using the Macroeconomic Model (Q-JEM) |
0 |
0 |
3 |
33 |
3 |
13 |
23 |
114 |
| Supplementary Paper Series for the "Assessment" (3): Inflation-Overshooting Commitment:An Analysis Using a Macroeconomic Model |
1 |
1 |
3 |
25 |
6 |
15 |
25 |
99 |
| Taylor Rule Yield Curve |
1 |
2 |
8 |
82 |
4 |
13 |
31 |
216 |
| The Effects of Monetary Policy Commitment: Evidence from Time- varying Parameter VAR Analysis |
0 |
0 |
3 |
327 |
2 |
4 |
11 |
761 |
| The Evolution of Loan Rate Stickiness Across the Euro Area |
0 |
0 |
1 |
74 |
0 |
3 |
9 |
272 |
| The Role of Corporate Governance in Japanese Unlisted Companies |
0 |
0 |
0 |
13 |
0 |
3 |
8 |
70 |
| The natural yield curve: its concept and developments in Japan |
0 |
1 |
1 |
60 |
0 |
4 |
7 |
117 |
| The natural yield curve: its concept and measurement |
0 |
0 |
1 |
67 |
1 |
5 |
11 |
177 |
| The role of household debt heterogeneity on consumption: Evidence from Japanese household data |
0 |
0 |
0 |
21 |
1 |
12 |
18 |
112 |
| Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications |
3 |
4 |
18 |
2,667 |
15 |
44 |
175 |
7,089 |
| Time-Varying Vector Autoregressive Model - A Survey with the Application to the Japanese Macroeconomic Data - |
0 |
0 |
5 |
65 |
2 |
9 |
17 |
181 |
| Using Text Analysis to Gauge the Reasons for Respondents' Assessment in the Economy Watchers Survey |
0 |
0 |
0 |
16 |
0 |
3 |
12 |
70 |
| What do negative inflation risk premia tell us? |
0 |
0 |
1 |
74 |
0 |
5 |
12 |
324 |
| Total Working Papers |
6 |
12 |
75 |
7,702 |
103 |
405 |
937 |
21,558 |