| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Financial Metric for Comparing Volatility Models: Do Better Models Make Money? |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
3 |
| A Multivariate GARCH-Jump Mixture Model |
0 |
0 |
0 |
38 |
0 |
1 |
6 |
86 |
| A New Structural Break Model with Application to Canadian Inflation Forecasting |
0 |
0 |
0 |
43 |
4 |
5 |
5 |
91 |
| A New Structural Break Model with Application to Canadian Inflation Forecasting |
0 |
0 |
0 |
56 |
0 |
0 |
0 |
156 |
| A Semi-Markov Approach to Modeling Volatility Dynamics |
0 |
0 |
0 |
1 |
1 |
1 |
4 |
527 |
| A new structural break model with application to Canadian inflation forecasting |
0 |
0 |
0 |
60 |
0 |
0 |
3 |
129 |
| An Efficient Bayesian Approach to Multiple Structural Change in Multivariate Time Series |
0 |
0 |
0 |
113 |
3 |
4 |
6 |
69 |
| An Infinite Hidden Markov Model for Short-term Interest Rates |
0 |
0 |
0 |
48 |
0 |
1 |
2 |
92 |
| An Infinite Hidden Markov Model for Short-term Interest Rates |
0 |
1 |
1 |
52 |
4 |
7 |
8 |
91 |
| An Infinite Hidden Markov Model with Stochastic Volatility |
0 |
0 |
1 |
70 |
0 |
1 |
5 |
47 |
| Are there Structural Breaks in Realized Volatility? |
0 |
0 |
0 |
225 |
3 |
3 |
7 |
557 |
| Bayesian Adaptive Hamiltonian Monte Carlo with an Application to High-Dimensional BEKK GARCH Models |
0 |
0 |
0 |
168 |
2 |
3 |
4 |
570 |
| Bayesian Adaptively Updated Hamiltonian Monte Carlo with an Application to High-Dimensional BEKK GARCH Models |
0 |
0 |
0 |
66 |
1 |
1 |
2 |
194 |
| Bayesian Forecasting in Economics and Finance: A Modern Review |
0 |
2 |
3 |
81 |
5 |
8 |
19 |
87 |
| Bayesian Forecasting in the 21st Century: A Modern Review |
0 |
0 |
5 |
76 |
6 |
7 |
16 |
75 |
| Bayesian Nonparametric Estimation of Ex-post Variance |
0 |
0 |
0 |
46 |
1 |
1 |
2 |
67 |
| Bayesian Parametric and Semiparametric Factor Models for Large Realized Covariance Matrices |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
69 |
| Bayesian Parametric and Semiparametric Factor Models for Large Realized Covariance Matrices |
0 |
0 |
0 |
64 |
1 |
1 |
2 |
32 |
| Bayesian Semiparametric Modeling of Realized Covariance Matrices |
0 |
0 |
1 |
17 |
0 |
0 |
1 |
95 |
| Bayesian Semiparametric Modeling of Realized Covariance Matrices |
1 |
1 |
1 |
45 |
1 |
1 |
2 |
101 |
| Bayesian Semiparametric Multivariate GARCH Modeling |
0 |
0 |
0 |
60 |
5 |
7 |
8 |
146 |
| Bayesian Semiparametric Stochastic Volatility Modeling |
0 |
0 |
0 |
47 |
3 |
4 |
6 |
181 |
| Bayesian semiparametric multivariate GARCH modeling |
0 |
0 |
1 |
37 |
1 |
3 |
4 |
89 |
| Bayesian semiparametric multivariate GARCH modeling |
0 |
0 |
0 |
41 |
1 |
2 |
2 |
144 |
| Bayesian semiparametric stochastic volatility modeling |
0 |
0 |
0 |
135 |
1 |
3 |
5 |
399 |
| Bayesian semiparametric stochastic volatility modeling |
0 |
0 |
0 |
48 |
2 |
4 |
6 |
175 |
| Bull and Bear Markets During the COVID-19 Pandemic |
0 |
0 |
0 |
13 |
1 |
2 |
3 |
35 |
| Bull and Bear Markets During the COVID-19 Pandemic |
0 |
0 |
0 |
43 |
0 |
1 |
1 |
226 |
| Components of bull and bear markets: bull corrections and bear rallies |
0 |
0 |
1 |
157 |
1 |
2 |
6 |
494 |
| Do High-Frequency Measures of Volatility Improve Forecasts of Return Distributions? |
0 |
0 |
0 |
28 |
1 |
3 |
6 |
113 |
| Do Jumps Contribute to the Dynamics of the Equity Premium? |
0 |
0 |
2 |
141 |
1 |
2 |
10 |
454 |
| Do high-frequency measures of volatility improve forecasts of return distributions? |
0 |
0 |
0 |
134 |
3 |
4 |
5 |
324 |
| Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture |
0 |
0 |
0 |
36 |
2 |
4 |
10 |
229 |
| Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture |
0 |
0 |
0 |
29 |
0 |
4 |
4 |
131 |
| Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture |
0 |
0 |
0 |
23 |
1 |
3 |
4 |
81 |
| Extracting bull and bear markets from stock returns |
0 |
1 |
2 |
361 |
1 |
6 |
10 |
1,016 |
| Forecasting Realized Volatility: A Bayesian Model Averaging Approach |
0 |
0 |
2 |
365 |
3 |
6 |
12 |
1,030 |
| How useful are historical data for forecasting the long-run equity return distribution? |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
59 |
| How useful are historical data for forecasting the long-run equity return distribution? |
0 |
0 |
0 |
423 |
0 |
0 |
4 |
2,067 |
| Identification and Forecasting of Bull and Bear Markets using Multivariate Returns |
0 |
1 |
1 |
20 |
4 |
8 |
15 |
38 |
| Improving Forecasts of Inflation using the Term Structure of Interest Rates |
0 |
0 |
1 |
176 |
0 |
0 |
3 |
463 |
| Improving Markov switching models using realized variance |
0 |
0 |
1 |
75 |
2 |
3 |
8 |
83 |
| Intraday Dynamics of Volatility and Duration: Evidence from the Chinese Stock Market |
0 |
0 |
0 |
68 |
5 |
7 |
8 |
252 |
| Learning, Forecasting and Structural Breaks |
0 |
0 |
0 |
721 |
0 |
0 |
4 |
2,507 |
| Learning, Forecasting and Structural Breaks |
0 |
0 |
0 |
173 |
0 |
2 |
4 |
455 |
| Modeling Covariance Breakdowns in Multivariate GARCH |
0 |
1 |
2 |
210 |
3 |
4 |
9 |
452 |
| Modeling Covariance Breakdowns in Multivariate GARCH |
0 |
0 |
0 |
42 |
0 |
0 |
0 |
72 |
| Modeling foreign exchange rates with jumps |
0 |
0 |
2 |
294 |
0 |
2 |
13 |
726 |
| Modelling Realized Covariances |
0 |
0 |
0 |
67 |
0 |
0 |
0 |
149 |
| Modelling Realized Covariances and Returns |
0 |
0 |
2 |
51 |
1 |
3 |
6 |
114 |
| Modelling Realized Covariances and Returns |
0 |
0 |
0 |
98 |
1 |
1 |
2 |
222 |
| Modelling Realized Covariances and Returns |
0 |
0 |
0 |
45 |
2 |
2 |
2 |
136 |
| News Arrival, Jump Dynamics and Volatility Components for Individual Stock Returns |
0 |
0 |
0 |
431 |
1 |
2 |
3 |
1,102 |
| Nonlinear Features of Realized FX Volatility |
0 |
0 |
0 |
295 |
0 |
1 |
1 |
1,078 |
| Nonparametric Dynamic Conditional Beta |
0 |
0 |
0 |
49 |
3 |
3 |
4 |
57 |
| Oil Price Shocks and Economic Growth: The Volatility Link |
0 |
0 |
0 |
44 |
2 |
3 |
4 |
78 |
| Oil Price Shocks and Economic Growth: The Volatility Link |
0 |
0 |
1 |
42 |
0 |
1 |
3 |
86 |
| Oil Price Shocks and Economic Growth: The Volatility Link |
0 |
0 |
1 |
32 |
1 |
2 |
4 |
42 |
| Real Time Detection of Structural Breaks in GARCH Models |
0 |
0 |
0 |
155 |
2 |
2 |
5 |
409 |
| Real Time Detection of Structural Breaks in GARCH Models |
0 |
0 |
0 |
72 |
2 |
3 |
3 |
211 |
| Real Time Detection of Structural Breaks in GARCH Models |
0 |
0 |
1 |
36 |
1 |
1 |
4 |
141 |
| Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis |
0 |
0 |
0 |
14 |
1 |
3 |
4 |
112 |
| Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis |
0 |
0 |
0 |
43 |
2 |
2 |
6 |
151 |
| Risk, Return, and Volatility Feedback: A Bayesian Nonparametric Analysis |
0 |
0 |
0 |
7 |
1 |
1 |
3 |
85 |
| Volatility Dynamics Under Duration-Dependent Mixing |
0 |
0 |
0 |
99 |
0 |
0 |
2 |
247 |
| Total Working Papers |
1 |
7 |
32 |
6,783 |
93 |
163 |
323 |
19,999 |