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A 1-1 poly-t random variable generator with application to Monte Carlo integration |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
16 |
A Bayesian method of change-point estimation with recurrent regimes: application to GARCH models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
A Comparison Of Forecasting Procedures For Macroeconomic Series: The Contribution Of Structural Break Models |
0 |
0 |
0 |
52 |
0 |
0 |
0 |
80 |
A Comparison of Financial Duration Models via Density Forecasts |
0 |
0 |
1 |
362 |
0 |
1 |
4 |
805 |
A Comparison of Forecasting Procedures For Macroeconomic Series: The Contribution of Structural Break Models |
0 |
0 |
0 |
178 |
0 |
0 |
0 |
216 |
A Comparison of Forecasting Procedures for Macroeconomic Series: the Contribution of Structural Break Models |
0 |
0 |
0 |
83 |
0 |
2 |
2 |
145 |
A Component GARCH Model with Time Varying Weights |
0 |
0 |
0 |
195 |
0 |
0 |
1 |
412 |
A Dynamic Component Model for Forecasting High-Dimensional Realized Covariances Matrices |
0 |
0 |
0 |
6 |
1 |
1 |
2 |
21 |
A Gibbs sampling approach to cointegration |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
105 |
A New Approach to Volatility Modeling: The High-Dimensional Markov Model |
0 |
0 |
1 |
34 |
0 |
0 |
1 |
63 |
A New Class of Multivariate skew Densities, with Application to GARCH Models |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
539 |
A comparison of Forecasting Procedures for Macroeconomic Series: The Contribution of Structural Break Models |
0 |
0 |
0 |
59 |
0 |
0 |
0 |
151 |
A comparison of financial duration models via density forecast |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
61 |
A comparison of financial duration models via density forecasts |
0 |
1 |
1 |
81 |
0 |
1 |
1 |
1,140 |
A comparison of financial duration models via density forecasts |
0 |
0 |
0 |
4 |
0 |
1 |
1 |
42 |
A comparison of forecasting procedures for macroeconomic series: the contribution of structural break models |
0 |
0 |
0 |
61 |
0 |
0 |
0 |
75 |
A component GARCH model with time varying weights |
0 |
0 |
0 |
0 |
0 |
1 |
6 |
1,052 |
A component GARCH model with time varying weights |
0 |
0 |
1 |
87 |
0 |
0 |
1 |
287 |
A component GARCH model with time varying weights |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
63 |
A dynamic component model for forecasting high-dimensional realized covariance matrices |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
41 |
A dynamic component model for forecasting high-dimensional realized covariance matrices |
0 |
0 |
1 |
68 |
0 |
1 |
3 |
148 |
A new approach to volatility modeling: the High-Dimensional Markov model |
0 |
0 |
0 |
81 |
0 |
0 |
1 |
149 |
A new approach: the factorial hidden Markov volatility model |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
24 |
A new class of multivariate skew densities, with application to GARCH models |
0 |
0 |
0 |
99 |
0 |
0 |
2 |
236 |
A new class of multivariate skew densities, with application to generalized autoregressive conditional heteroscedasticity models |
0 |
0 |
1 |
17 |
1 |
1 |
2 |
51 |
ADAPTIVE POLAR SAMPLING WITH AN APPLICATION TO A BAYES MEASURE OF VALUE-AT-RISK |
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0 |
0 |
0 |
0 |
0 |
0 |
422 |
Adaptive Polar Sampling |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
162 |
Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk |
0 |
0 |
0 |
182 |
0 |
0 |
0 |
1,004 |
Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
86 |
Adaptive Polar Sampling: A New MC Technique for the Analysis of Ill-behaved Surfaces |
0 |
0 |
0 |
24 |
0 |
0 |
0 |
516 |
Adaptive polar sampling with an application to a Bayes measure of value-at-risk |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
530 |
Adaptive polar sampling, a class of flexibel and robust Monte Carlo integration methods |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
64 |
Adaptive polar sampling: a new MC technique for the analysis of ill behaved surfaces |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
51 |
Adaptive radial-based direction sampling: some flexible and robust Monte Carlo integration methods |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
16 |
Adaptive radial-based direction sampling; Some flexible and robust Monte Carlo integration methods |
0 |
0 |
0 |
19 |
0 |
0 |
0 |
106 |
An export model for the Belgian industry |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
11 |
Approximate HPD regions for testing residual autocorrelation using augmented regressions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
17 |
Approximate HPD regions for testing residual autocorrelation using augmented regressions |
0 |
0 |
0 |
8 |
0 |
1 |
1 |
302 |
Art experts and auctions Are pre-sale estimates unbiased and fully informative? |
0 |
0 |
5 |
73 |
0 |
0 |
9 |
243 |
Art experts and auctions are pre-sale estimates unbiased and fully informative? |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
50 |
Art experts and auctions:are pre-sale estimates unbiased and fully informative |
0 |
0 |
0 |
3 |
0 |
1 |
4 |
44 |
Asymmetric ACD models: Introducing price information in ACD models |
0 |
1 |
1 |
4 |
0 |
1 |
1 |
26 |
Asymmetric ACD models: introducing price information in ACD models with a two state transition model |
0 |
0 |
0 |
78 |
0 |
0 |
0 |
1,054 |
Autoregressive Moving Average Infinite Hidden Markov-Switching Models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
22 |
Autoregressive moving average infinite hidden Markov-switching models |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
23 |
Autoregressive moving average infinite hidden markov-switching models |
0 |
0 |
0 |
51 |
0 |
0 |
1 |
111 |
BAYESIAN CLUSTERING OF SIMILAR MULTIVARIATE GARCH MODELS |
0 |
0 |
0 |
194 |
0 |
0 |
1 |
493 |
BAYESIAN LIMITED INFORMATION ANALYSIS REVISITED |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
17 |
Bayesian Inference in Dynamic Disequilibrium Models: an Application to the Polish Credit Market |
0 |
0 |
0 |
133 |
0 |
0 |
0 |
400 |
Bayesian Inference on GARCH Models Using the Gibbs Sampler |
0 |
0 |
0 |
1 |
0 |
0 |
3 |
1,685 |
Bayesian Inference on GARCH Models using the Gibbs Sampler |
0 |
0 |
1 |
58 |
0 |
0 |
2 |
1,181 |
Bayesian Option Pricing Using Asymmetric GARCH |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1,568 |
Bayesian Option Pricing using Asymmetric Garch Models |
0 |
0 |
0 |
2 |
0 |
0 |
4 |
998 |
Bayesian and classical econometric modeling of time series |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
15 |
Bayesian clustering of many GARCH models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
27 |
Bayesian clustering of many GARCH models |
0 |
0 |
0 |
43 |
0 |
0 |
0 |
119 |
Bayesian diagnostics for heterogeneity |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
19 |
Bayesian inference for the mixed conditional heteroskedasticity model |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
103 |
Bayesian inference for the mixed conditional heteroskedasticity model |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
232 |
Bayesian inference for the mixed conditional heteroskedasticity model |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
31 |
Bayesian inference for the mixed conditional heteroskedasticity model |
0 |
0 |
1 |
63 |
0 |
0 |
1 |
323 |
Bayesian inference in dynamic disequilibrium models: an application to the Polish credit market |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
37 |
Bayesian inference in dynamic disequilibrium models: an application to the Polish credit market |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
122 |
Bayesian inference on GARCH models using the Gibbs sampler |
0 |
0 |
1 |
25 |
0 |
2 |
5 |
91 |
Bayesian methods |
0 |
0 |
5 |
412 |
7 |
10 |
22 |
676 |
Bayesian option pricing using asymmetric GARCH |
0 |
1 |
1 |
22 |
0 |
1 |
1 |
79 |
Bayesian option pricing using asymmetric GARCH models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
28 |
Bayesian specification analysis and estimation of simultaneous equation models using Monte Carlo methods |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
78 |
Bayesian specification analysis and estimation of simultaneous equation models using Monte Carlo methods |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
28 |
Computationally efficient inference procedures for vast dimensional realized covariance models |
0 |
0 |
0 |
2 |
0 |
1 |
1 |
29 |
Computationally efficient inference procedures for vast dimensional realized covariance models |
0 |
0 |
0 |
34 |
0 |
0 |
0 |
100 |
DCC and DECO-HEAVY: a multivariate GARCH model based on realized variances and correlations |
0 |
0 |
2 |
157 |
0 |
1 |
3 |
348 |
DCC-HEAVY: A multivariate GARCH model based on realized variances and correlations |
0 |
1 |
1 |
22 |
0 |
1 |
2 |
86 |
Do Art Experts make Rational Estimates of Pre-Sale Prices ? |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
83 |
Dynamic conditional correlation models for realized covariance matrices |
0 |
1 |
1 |
125 |
0 |
1 |
1 |
364 |
Dynamic latent factor models for intensity processes |
0 |
0 |
0 |
114 |
0 |
0 |
1 |
326 |
Econometric analysis of intra-daily trading activity on the Tokyo Stock Exchange |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
27 |
Econometrics |
0 |
0 |
0 |
23 |
0 |
1 |
2 |
105 |
Econometrics |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
40 |
Editors' introduction. First Riverboat conference on Bayesian econometrics and statistics |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
19 |
Efficient importance sampling for ML estimation of SCD models |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
26 |
Efficient importance sampling for ML estimation of SCD models |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
117 |
Efficient importance sampling for ML estimation of SCD models |
0 |
0 |
0 |
47 |
0 |
0 |
3 |
190 |
Estimating End-Use Demand: A Bayesian Approach |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
365 |
Estimating End-use Demand: a Bayesian Approach |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
21 |
Estimating and forecasting structural breaks in financial time series |
0 |
0 |
0 |
106 |
0 |
0 |
0 |
347 |
Estimating end-use demand: A Bayesian approach |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
28 |
Estimation and Empirical Performance of Non-Scalar DCC Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
13 |
Estimation and empirical performance of non-scalar dynamic conditional correlation models |
0 |
0 |
0 |
51 |
0 |
0 |
0 |
62 |
Exchange Rate Volatility and the Mixture of Distribution Hypothesis |
0 |
0 |
0 |
166 |
0 |
0 |
0 |
568 |
Exchange rate volatility and the mixture of distribution hypothesis |
0 |
0 |
1 |
37 |
0 |
0 |
1 |
152 |
Exchange rate volatility and the mixture of distribution hypothesis |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
28 |
Explaining Adaptive Radial-Based Direction Sampling |
0 |
0 |
0 |
7 |
0 |
1 |
1 |
59 |
Forecasting a long memory process subject to structural breaks |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
Forecasting comparison of long term component dynamic models for realized covariance matrices |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
21 |
Forecasting comparison of long term component dynamic models for realized covariance matrices |
0 |
0 |
0 |
39 |
0 |
0 |
1 |
85 |
Forecasting long memory processes subject to structural breaks |
0 |
1 |
2 |
54 |
0 |
1 |
4 |
154 |
General to Specific Modelling of Exchange Rate Volatility: a Forecast Evaluation |
0 |
0 |
0 |
174 |
0 |
0 |
1 |
517 |
General to specific modelling of exchange rate volatility: a forecast evaluation |
0 |
0 |
0 |
149 |
1 |
1 |
2 |
507 |
General to specific modelling of exchange rate volatility: a forecast evaluation |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
142 |
General-to-specific modelling of exchange rate volatility: a forecast evaluation |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
41 |
Gibbs sampling approach to cointegration |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
15 |
High frequency finance |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
41 |
High frequency financial econometrics. Recent developments |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
74 |
Identification Restrictions and Posterior Densities in Cointegrated Gaussian VAR Systems |
0 |
0 |
0 |
49 |
0 |
0 |
0 |
209 |
Identification restrictions and posterior densities in cointegrated Gaussian VAR system |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
41 |
Identifying long-run behaviour with non-stationary data |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
454 |
Intra-Daily FX Optimal Portfolio Allocation |
0 |
0 |
0 |
217 |
1 |
1 |
2 |
1,008 |
Intra-daily FX optimal portfolio allocation |
0 |
0 |
0 |
34 |
0 |
0 |
0 |
130 |
Marginal Likelihood for Markov-Switching and Change-Point GARCH Models |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
183 |
Marginal Likelihood for Markov-Switching and Change-Point Garch Models |
0 |
0 |
0 |
31 |
0 |
0 |
0 |
105 |
Marginal Likelihood for Markov-switching and Change-point Garch Models |
0 |
0 |
0 |
55 |
0 |
0 |
0 |
159 |
Marginal likelihood for Markov-switching and change-point GARCH models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Marginal likelihood for Markov-switching and change-point GARCH models |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
74 |
Modeling Realized Covariance Matrices: A Class of Hadamard Exponential Models |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
9 |
Modeling and predicting intra-day price movements in stock markets with autoregressive conditional duration models |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
24 |
Modeling the Dependence of Conditional Correlations on Volatility |
0 |
0 |
0 |
148 |
0 |
0 |
1 |
218 |
Modeling the dependence of conditional correlations on market volatility |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
35 |
Modeling the dependence of conditional correlations on volatility |
0 |
0 |
0 |
27 |
0 |
1 |
1 |
63 |
Modelling Financial High Frequency Data Using Point Processes |
0 |
0 |
2 |
253 |
1 |
2 |
5 |
671 |
Modelling Realized Covariance Matrices: a Class of Hadamard Exponential Models |
0 |
0 |
1 |
43 |
1 |
1 |
6 |
61 |
Modelling Realized Covariance Matrices: a Class of Hadamard Exponential Models |
0 |
0 |
0 |
7 |
1 |
1 |
2 |
23 |
Modelling financial high frequency data using point processes |
0 |
0 |
0 |
95 |
1 |
2 |
3 |
348 |
Modelling financial high frequency data using point processes |
0 |
0 |
0 |
0 |
0 |
2 |
8 |
43 |
Modelling financial high frequency data using point processes |
0 |
0 |
1 |
101 |
0 |
0 |
5 |
307 |
Modelling interest rates with a cointegrated VAR-GARCH model |
1 |
1 |
1 |
164 |
1 |
1 |
3 |
1,981 |
Modelling multivariate volatility of electricity futures |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
5 |
Multiplicative Conditional Correlation Models for Realized Covariance Matrices |
0 |
0 |
1 |
37 |
0 |
0 |
4 |
103 |
Multivariate GARCH models and their Estimation |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
526 |
Multivariate GARCH models: a survey |
0 |
0 |
1 |
475 |
0 |
1 |
5 |
1,137 |
Multivariate GARCH models: a survey |
0 |
0 |
0 |
40 |
1 |
2 |
10 |
216 |
Multivariate mixed normal conditional heteroskedasticity |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
16 |
Multivariate mixed normal conditional heteroskedasticity |
0 |
0 |
0 |
149 |
0 |
0 |
0 |
472 |
Multivariate mixed normal conditional heteroskedasticity |
0 |
0 |
0 |
21 |
1 |
1 |
1 |
103 |
Multivariate volatility modeling of electricity futures |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
11 |
Multivariate volatility modeling of electricity futures |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
110 |
Multivariate volatility modeling of electricity futures |
0 |
0 |
0 |
66 |
0 |
0 |
0 |
208 |
Multivariate volatility modeling of electricity futures |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
News announcements, market activity and volatility in the Euro/Dollar foreign exchange market |
0 |
0 |
0 |
66 |
0 |
0 |
1 |
215 |
News announcements, market activity and volatility in the euro/dollar foreign exchange market |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
53 |
Nonlinearities and Regimes in Conditional Correlations with Different Dynamics |
0 |
0 |
0 |
39 |
0 |
0 |
0 |
57 |
Nonlinearities and regimes in conditional correlations with different dynamics |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
9 |
Nonlinearities and regimes in conditional correlations with different dynamics |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
47 |
On Marginal Likelihood Computation in Change-point Models |
0 |
0 |
0 |
113 |
0 |
0 |
2 |
356 |
On marginal likelihood computation in change-point models |
0 |
0 |
0 |
33 |
0 |
0 |
0 |
98 |
On marginal likelihood computation in change-point models |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
35 |
On the Weak Consistency of the Quasi-Maximum Likelihood Estimator in VAR Models with BEKK-GARCH(1,q) Errors |
0 |
0 |
0 |
55 |
0 |
1 |
2 |
870 |
Posterior moments of elasticities between real wages and unemployment in Belgium: an application of Bayesian inference by Monte Carlo integration |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
19 |
Posterior moments of elasticities between real wages and unemployment in Belgium: an application of Bayesian inference by Monte Carlo integration |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
14 |
Ranking economics departments in Europe: a statistical approach |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
56 |
Ranking economics departments in Europe: a statistical approach |
0 |
0 |
0 |
242 |
1 |
2 |
3 |
743 |
Realized Covariance Models with Time-varying Parameters and Spillover Effects |
0 |
1 |
14 |
14 |
0 |
2 |
17 |
17 |
Recent developments in the econometrics of financial markets using intra-day data |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
8 |
Regime switching GARCH models |
0 |
0 |
1 |
80 |
0 |
2 |
7 |
260 |
Regime switching GARCH models |
0 |
0 |
0 |
188 |
0 |
0 |
2 |
529 |
Regime switching GARCH models |
0 |
0 |
0 |
603 |
0 |
1 |
1 |
1,284 |
State-Space Models on the Stiefel Manifold with A New Approach to Nonlinear Filtering |
0 |
0 |
0 |
81 |
0 |
0 |
1 |
67 |
State-space models on the Stiefel Manifold with a new approach to nonlinear filtering |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
10 |
Stochastic conditional intensity processes |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
32 |
THE "PATHOLOGY" OF THE NATURAL CONJUGATE PRIOR DENSITY IN THE REGRESSION MODEL |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
908 |
THE LAW OF LARGE (SMALL?) NUMBERS AND THE DEMAND FOR INSURANCE |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
1,020 |
The "pathology" of the natural conjugate prior density in the regression model |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |
The Contribution of Structural Break Models to Forecasting Macroeconomic Series |
0 |
1 |
6 |
381 |
0 |
2 |
7 |
682 |
The Contribution of Structural Break Models to Forecating Macroeconomic Series |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
43 |
The Resistible Decline of European Science |
0 |
0 |
0 |
4 |
0 |
1 |
2 |
69 |
The Resistible Decline of European Science |
0 |
0 |
0 |
80 |
0 |
0 |
0 |
334 |
The contribution of realized covariance models to the economic value of volatility timing |
0 |
0 |
2 |
24 |
0 |
0 |
11 |
29 |
The contribution of realized covariance models to the economic value of volatility timing |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
The law of large (small?) numbers and the demand for insurance |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
26 |
The logarithmic ACD model: an application to market microstructure and NASDAQ |
0 |
0 |
0 |
56 |
0 |
0 |
1 |
1,884 |
The logarithmic ACD model: an application to the bid-ask quote process of three NYSE stocks |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
71 |
The moments of Log-ACD models |
0 |
0 |
0 |
0 |
1 |
4 |
5 |
54 |
The moments of Log-ACD models |
0 |
0 |
1 |
51 |
0 |
4 |
5 |
202 |
The resistible decline of European Science |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
28 |
The resistible decline of European science |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
44 |
The resistible decline of European science |
0 |
0 |
0 |
39 |
0 |
0 |
1 |
207 |
The stochastic conditional duration model: a latent factor model for the analysis of financial durations |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
38 |
The stochastic conditional duration model: a latent factor model for the analysis of financial durations |
0 |
0 |
0 |
66 |
1 |
1 |
2 |
1,219 |
The stochastic conditional duration model: a latent variable model for the analysis of financial durations |
0 |
0 |
0 |
4 |
1 |
1 |
1 |
23 |
Theory and Inference for a Markov-Switching GARCH Model |
0 |
0 |
1 |
549 |
0 |
0 |
1 |
1,350 |
Theory and inference for a Markov switching GARCH model |
0 |
0 |
0 |
53 |
0 |
0 |
0 |
159 |
Theory and inference for a Markov switching GARCH model |
0 |
0 |
0 |
129 |
0 |
1 |
5 |
343 |
Theory and inference for a Markov switching Garch model |
0 |
0 |
0 |
391 |
0 |
0 |
0 |
730 |
Theory and inference for a Markov switching Garch model |
0 |
0 |
3 |
4 |
0 |
0 |
9 |
43 |
Trends and breaking points in the Bayesian econometric literature |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
16 |
Volatility Models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
21 |
Volatility Models |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
43 |
Volatility models |
0 |
0 |
4 |
311 |
1 |
1 |
10 |
638 |
We modeled long memory with just one lag! |
0 |
0 |
0 |
0 |
1 |
2 |
3 |
3 |
We modeled long memory with just one lag! |
0 |
0 |
0 |
54 |
0 |
0 |
2 |
30 |
We modeled long memory with just one lag! |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
Total Working Papers |
1 |
9 |
67 |
10,254 |
27 |
88 |
323 |
48,336 |