| Working Paper |
File Downloads |
Abstract Views |
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3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Bayesian Chi-Squared Test for Hypothesis Testing |
0 |
0 |
0 |
20 |
1 |
3 |
6 |
101 |
| A Class of Nonlinear Stochastic Volatility Models |
0 |
0 |
0 |
3 |
1 |
5 |
7 |
37 |
| A Class of Nonlinear Stochastic Volatility Models and Its Implications on Pricing Currency Options |
0 |
0 |
0 |
484 |
2 |
8 |
12 |
1,199 |
| A Conversation with Eric Ghysels Co-President of the Society for Financial Econometrics |
0 |
0 |
0 |
16 |
0 |
5 |
6 |
106 |
| A New Bayesian Unit Root Test in Stochastic Volatility Models |
0 |
0 |
0 |
50 |
0 |
3 |
5 |
252 |
| A New Bayesian Unit Root Test in Stochastic Volatility Models |
0 |
0 |
0 |
37 |
0 |
1 |
4 |
104 |
| A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market |
0 |
0 |
1 |
31 |
2 |
12 |
16 |
141 |
| A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market |
0 |
0 |
1 |
40 |
1 |
9 |
12 |
111 |
| A New Wald Test for Hypothesis Testing Based on MCMC outputs |
0 |
0 |
0 |
41 |
1 |
4 |
4 |
34 |
| A Note on AIC and TIC for Model Selection |
0 |
1 |
5 |
16 |
1 |
21 |
38 |
53 |
| A Panel Clustering Approach to Analyzing Bubble Behavior |
0 |
0 |
1 |
18 |
1 |
23 |
26 |
64 |
| A Panel Clustering Approach to Analyzing Bubble Behavior |
0 |
0 |
0 |
62 |
0 |
5 |
6 |
81 |
| A Posterior-Based Wald-Type Statistic for Hypothesis Testing |
0 |
0 |
0 |
35 |
2 |
7 |
13 |
64 |
| A Quantile-based Asset Pricing Model |
0 |
0 |
1 |
66 |
2 |
8 |
12 |
109 |
| A Semiparametric Stochastic Volatility Model |
0 |
0 |
0 |
7 |
0 |
5 |
5 |
53 |
| A Specification Test based on the MCMC Output |
0 |
0 |
0 |
19 |
0 |
3 |
6 |
94 |
| A Test Statistic and Its Application in Modelling Daily Stock Returns |
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0 |
0 |
0 |
2 |
5 |
5 |
23 |
| A Two-Stage Realized Volatility Approach to Estimation of Diffusion Processes with Discrete |
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0 |
0 |
9 |
0 |
5 |
10 |
88 |
| A Two-Stage Realized Volatility Approach to the Estimation for Diffusion Processes from Discrete Observations |
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0 |
0 |
243 |
1 |
4 |
7 |
616 |
| Asymmetric Response of Volatility: Evidence from Stochastic Volatility Models and Realized Volatility |
0 |
0 |
0 |
87 |
0 |
2 |
7 |
268 |
| Asymptotic Distributions of the Least Squares Estimator for Diffusion Processes |
0 |
0 |
0 |
23 |
0 |
3 |
4 |
80 |
| Asymptotic Distributions of the Least Squares Estimator for Diffusion Processes |
0 |
0 |
0 |
18 |
1 |
8 |
9 |
86 |
| Asymptotic Properties of Least Squares Estimator in Local to Unity Processes with Fractional Gaussian Noises |
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0 |
0 |
21 |
1 |
3 |
3 |
29 |
| Asymptotic Theory for Estimating Drift Parameters in the Fractional Vasicek Model |
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1 |
2 |
28 |
1 |
9 |
12 |
55 |
| Asymptotic Theory for Estimating the Persistent Parameter in the Fractional Vasicek Model |
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0 |
0 |
47 |
0 |
3 |
6 |
25 |
| Asymptotic Theory for Rough Fractional Vasicek Models |
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0 |
0 |
44 |
0 |
3 |
10 |
102 |
| Automated Likelihood Based Inference for Stochastic Volatility Models |
0 |
0 |
0 |
27 |
0 |
1 |
5 |
114 |
| Automated Likelihood Based Inference for Stochastic Volatility Models |
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1 |
1 |
1 |
2 |
13 |
19 |
55 |
| Automated Likelihood Based Inference for Stochastic Volatility Models |
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1 |
1 |
3 |
0 |
4 |
16 |
54 |
| BUGS for a Bayesian Analysis of Stochastic Volatility Models |
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0 |
0 |
12 |
0 |
3 |
11 |
70 |
| Bayesian Analysis of Bubbles in Asset Prices |
0 |
0 |
0 |
64 |
2 |
10 |
20 |
124 |
| Bayesian Analysis of Structural Credit Risk Models with Microstructure Noises |
1 |
1 |
1 |
11 |
1 |
4 |
7 |
83 |
| Bayesian Analysis of Structural Credit Risk Models with Microstructure Noises |
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0 |
0 |
17 |
0 |
4 |
10 |
146 |
| Bayesian Hypothesis Testing in Latent Variable Models |
0 |
0 |
0 |
45 |
1 |
6 |
12 |
191 |
| Bayesian Learning of Impacts of Self-Exciting Jumps in Returns and Volatility |
0 |
0 |
0 |
5 |
2 |
5 |
6 |
27 |
| Bayesian Learning of Impacts of Self-Exciting Jumps in Returns and Volatility |
0 |
0 |
0 |
46 |
0 |
3 |
5 |
228 |
| Bias in Estimating Multivariate and Univariate Diffusions |
0 |
0 |
0 |
43 |
0 |
2 |
5 |
194 |
| Bias in the Estimation of the Mean Reversion Parameter in Continuous Time Models |
0 |
0 |
0 |
3 |
0 |
6 |
9 |
70 |
| Bias in the Estimation of the Mean Reversion Parameter in Continuous Time Models |
0 |
0 |
0 |
11 |
0 |
4 |
7 |
123 |
| Bias in the Estimation of the Mean Reversion Parameter in Continuous Time Models |
0 |
0 |
0 |
26 |
0 |
7 |
14 |
169 |
| Bias in the Mean Reversion Estimator in Continuous-Time Gaussian and Levy Processes |
0 |
0 |
0 |
45 |
1 |
9 |
10 |
61 |
| Bias in the Mean Reversion Estimator in Continuous-Time Gaussian and Lévy Processes |
0 |
0 |
0 |
44 |
1 |
6 |
10 |
125 |
| Boosting Store Sales Through Ensemble Learning-Informed Promotional Decisions |
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2 |
10 |
10 |
2 |
9 |
31 |
31 |
| Bubble Testing under Deterministic Trends |
0 |
0 |
0 |
32 |
0 |
2 |
6 |
72 |
| Comment on “Realized Variance and Market Microstructure Noise†by Peter R. Hansen and Asger Lunde |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
104 |
| Comment on “Realized Variance and Market Microstructure Noise” by Peter R. Hansen and Asger Lunde |
0 |
0 |
0 |
92 |
0 |
5 |
5 |
322 |
| Comments on “A selective overview of nonparametric methods in financial econometrics†|
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0 |
0 |
2 |
0 |
1 |
4 |
102 |
| Comments on “A Selective Overview of Nonparametric Methods in Financial Econometrics” by Jianqing Fan |
0 |
0 |
0 |
42 |
0 |
2 |
4 |
184 |
| Corrigendum to “A Gaussian Approach for Continuous Time Models of the Short Term Interest Rate" |
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0 |
0 |
28 |
0 |
5 |
6 |
75 |
| Dating the Timeline of Financial Bubbles During the Subprime Crisis |
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0 |
0 |
45 |
1 |
10 |
13 |
252 |
| Dating the Timeline of Financial Bubbles During the Subprime Crisis |
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0 |
1 |
168 |
0 |
2 |
4 |
436 |
| Dating the Timeline of Financial Bubbles During the Subprime Crisis |
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0 |
0 |
18 |
0 |
4 |
7 |
102 |
| Dating the Timeline of Financial Bubbles during the Subprime Crisis |
0 |
0 |
0 |
297 |
2 |
39 |
43 |
1,000 |
| Detecting Bubbles in Hong Kong Residential Property Market |
0 |
0 |
0 |
13 |
0 |
3 |
5 |
52 |
| Detecting Bubbles in Hong Kong Residential Property Market |
0 |
0 |
0 |
70 |
1 |
7 |
8 |
251 |
| Deviance Information Criterion as a Model Comparison Criterion for Stochastic Volatility Models |
0 |
0 |
0 |
8 |
1 |
8 |
11 |
64 |
| Deviance Information Criterion for Bayesian Model Selection: Justification and Variation |
0 |
0 |
2 |
28 |
0 |
7 |
17 |
114 |
| Deviance Information Criterion for Comparing VAR Models |
0 |
0 |
0 |
109 |
1 |
4 |
6 |
86 |
| Deviance Information Criterion for Model Selection:Theoretical Justification and Applications |
0 |
0 |
2 |
5 |
4 |
12 |
22 |
37 |
| Different Strokes for Different Folks: Long Memory and Roughness |
0 |
0 |
0 |
19 |
2 |
4 |
7 |
21 |
| Do Topics Diffuse from Core to Periphery Journals? |
0 |
0 |
0 |
4 |
0 |
3 |
7 |
45 |
| Double Asymptotics for Explosive Continuous Time Models |
0 |
0 |
0 |
41 |
0 |
3 |
5 |
101 |
| Double Asymptotics for an Explosive Continuous Time Model |
0 |
0 |
0 |
11 |
2 |
3 |
4 |
57 |
| Econometric Analysis of Continuous Time Models: A Survey of Peter Phillips' Work and Some New Results |
0 |
0 |
0 |
4 |
0 |
5 |
5 |
62 |
| Econometric Analysis of Continuous Time Models: A Survey of Peter Phillips' Work and Some New Results |
0 |
0 |
0 |
83 |
1 |
6 |
8 |
144 |
| Econometric Analysis of Continuous Time Models: A Survey of Peter Phillips’ Work and Some New Results |
0 |
0 |
0 |
19 |
0 |
6 |
10 |
140 |
| Econometric Methods and Data Science Techniques: A Review of Two Strands of Literature and an Introduction to Hybrid Methods |
0 |
0 |
1 |
106 |
2 |
7 |
11 |
98 |
| Efficient Estimation of the Stochastic Volatility Model by the Empirical Characteristic Function Method |
0 |
0 |
3 |
8 |
0 |
6 |
13 |
34 |
| Empirical Characteristic Function in Time Series Estimation |
0 |
0 |
1 |
10 |
0 |
7 |
12 |
62 |
| Estimating the GARCH Diffusion: Simulated Maximum Likelihood in Continuous Time |
0 |
0 |
0 |
34 |
1 |
4 |
5 |
84 |
| Estimation and Inference of Fractional Continuous-Time Model with Discrete-Sampled Data |
1 |
1 |
1 |
26 |
1 |
5 |
5 |
42 |
| Estimation of Hyperbolic Diffusion Using MCMC Method |
0 |
0 |
0 |
198 |
0 |
6 |
10 |
683 |
| Estimation of Hyperbolic Diffusion using MCMC Method |
0 |
1 |
1 |
2 |
2 |
11 |
11 |
49 |
| Estimation of a Self-Exciting Poisson Jump Diffusion Model by the Empirical Characteristic Function Method |
0 |
1 |
1 |
7 |
1 |
11 |
13 |
33 |
| Exact Gaussian Estimation of Continuous Time Models of The Term Structure of Interest Rates Rankings of Economics Departments in New Zealand |
0 |
0 |
0 |
2 |
1 |
9 |
10 |
34 |
| Explosive Behavior in the 1990s Nasdaq: When Did Exuberance Escalate Asset Values? |
0 |
0 |
0 |
156 |
3 |
6 |
12 |
404 |
| Explosive Behavior in the 1990s Nasdaq: When Did Exuberance Escalate Asset Values? |
0 |
0 |
4 |
289 |
0 |
8 |
16 |
985 |
| Explosive Behavior in the 1990s Nasdaq: When Did Exuberance Escalate Asset Values? |
0 |
0 |
0 |
11 |
0 |
3 |
4 |
84 |
| Explosive Behavior in the 1990s Nasdaq: When Did Exuberance Escalate Asset Values? |
1 |
1 |
1 |
79 |
3 |
10 |
14 |
349 |
| Explosive Behavior in the 1990s Nasdaq: When Did Exuberance Escalate Asset Values? |
0 |
0 |
0 |
32 |
1 |
4 |
8 |
185 |
| FORECASTING REALIZED VOLATILITY USING A NONNEGATIVE SEMIPARAMETRIC MODEL |
0 |
0 |
0 |
3 |
1 |
5 |
8 |
44 |
| Finite Sample Comparison of Alternative Estimators for Fractional Gaussian Noise |
0 |
0 |
0 |
13 |
1 |
6 |
8 |
51 |
| Forecast combinations in machine learning |
0 |
0 |
1 |
144 |
0 |
5 |
8 |
260 |
| Forecasting Equity Index Volatility by Measuring the Linkage among Component Stocks |
0 |
1 |
1 |
71 |
1 |
7 |
9 |
134 |
| Forecasting Realized Volatility Using A Nonnegative Semiparametric Model |
0 |
0 |
0 |
50 |
1 |
3 |
9 |
104 |
| Forecasting Realized Volatility Using A Nonnegative Semiparametric Model |
0 |
0 |
0 |
12 |
0 |
6 |
9 |
115 |
| Forecasting Singapore GDP using the SPF data |
0 |
0 |
1 |
21 |
2 |
7 |
9 |
55 |
| Forecasting Volatility in the New Zealand Stock Market |
0 |
0 |
1 |
9 |
1 |
7 |
17 |
65 |
| Forecasting Volatility:Evidence from the German Stock Market |
0 |
0 |
1 |
13 |
1 |
7 |
16 |
102 |
| Gaussian Estimation of Continuous Time Models of the Short Term Interest Rate |
0 |
0 |
0 |
331 |
0 |
9 |
11 |
1,027 |
| Housing Equity and Household Consumption in Retirement: Evidence from the Singapore Life Panel |
0 |
0 |
0 |
29 |
2 |
6 |
9 |
89 |
| Improved Marginal Likelihood Estimation via Power Posteriors and Importance Sampling |
0 |
0 |
0 |
35 |
0 |
3 |
3 |
44 |
| In-fill Asymptotic Theory for Structural Break Point in Autoregression: A Unified Theory |
0 |
0 |
0 |
36 |
1 |
2 |
3 |
71 |
| Indirect Inference for Dynamic Panel Models |
0 |
0 |
0 |
324 |
5 |
64 |
67 |
899 |
| Indirect Inference for Dynamic Panel Models |
0 |
0 |
0 |
17 |
1 |
3 |
8 |
125 |
| Information Loss in Volatility Measurement with Flat Price Trading |
0 |
0 |
0 |
41 |
0 |
1 |
2 |
168 |
| Information Loss in Volatility Measurement with Flat Price Trading |
0 |
0 |
0 |
97 |
2 |
4 |
5 |
597 |
| Information Loss in Volatility Measurement with Flat Price Trading |
0 |
0 |
0 |
2 |
0 |
7 |
8 |
53 |
| Information Loss in Volatility Measurement with Flat Price Trading |
0 |
0 |
0 |
34 |
1 |
6 |
10 |
166 |
| Integrated Deviance Information Criterion for Latent Variable Models |
0 |
0 |
0 |
42 |
1 |
3 |
4 |
83 |
| Investigating Impacts of Self-Exciting Jumps in Returns and Volatility: A Bayesian Learning Approach |
0 |
0 |
0 |
18 |
5 |
8 |
10 |
100 |
| Jackknifing Bond Option Prices |
0 |
0 |
0 |
52 |
2 |
5 |
6 |
287 |
| Jackknifing Bond Option Prices |
0 |
0 |
0 |
459 |
1 |
6 |
8 |
1,627 |
| Jacknifing Bond Option Prices |
0 |
0 |
0 |
1 |
1 |
3 |
4 |
47 |
| Latent Local-to-Unity Models |
0 |
0 |
0 |
21 |
7 |
15 |
16 |
53 |
| Limit Theory for Dating the Origination and Collapse of Mildly Explosive Periods in Time Series Data |
0 |
0 |
0 |
21 |
0 |
2 |
3 |
90 |
| Limit Theory for an Explosive Autoregressive Process |
0 |
0 |
0 |
46 |
0 |
7 |
10 |
99 |
| Local Powers of Least-Squares-Based Test for Panel Fractional Ornstein-Uhlenbeck Process |
0 |
0 |
0 |
29 |
1 |
2 |
4 |
20 |
| MCMC Methods for Estimating Stochastic Volatility Models with Liverage Effects: Comments on Jacquier, Polson and Rossi (2002) |
0 |
0 |
0 |
10 |
2 |
5 |
8 |
39 |
| Maximum Likelihood Estimation for the Fractional Vasicek Model |
0 |
0 |
0 |
85 |
1 |
5 |
8 |
180 |
| Maximum Likelihood Estimation of Fractional Ornstein-Uhlenbeck Process with Discretely Sampled Data |
0 |
1 |
30 |
30 |
4 |
17 |
71 |
71 |
| Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance |
0 |
0 |
0 |
15 |
2 |
6 |
7 |
104 |
| Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance |
0 |
0 |
0 |
2 |
0 |
3 |
4 |
51 |
| Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance |
0 |
0 |
0 |
518 |
0 |
1 |
4 |
1,817 |
| Measurement and High Finance |
0 |
0 |
0 |
22 |
1 |
3 |
5 |
71 |
| Mild-explosive and Local-to-mild-explosive Autoregressions with Serially Correlated Errors |
0 |
0 |
0 |
25 |
0 |
3 |
4 |
37 |
| Model Selection for Explosive Models |
0 |
0 |
0 |
1 |
2 |
2 |
2 |
9 |
| Model Selection for Explosive Models |
0 |
0 |
0 |
22 |
1 |
8 |
8 |
35 |
| Modeling and Forecasting Realized Volatility with Multivariate Fractional Brownian Motion |
0 |
0 |
24 |
24 |
0 |
2 |
12 |
12 |
| Modeling and Forecasting Realized Volatility with Multivariate Fractional Brownian Motion |
0 |
0 |
20 |
20 |
4 |
21 |
49 |
49 |
| Multivariate Stochastic Volatility |
0 |
0 |
1 |
36 |
0 |
9 |
19 |
207 |
| Multivariate Stochastic Volatility Models based on Generalized Fisher Transformation |
0 |
0 |
3 |
10 |
0 |
7 |
16 |
38 |
| Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison |
0 |
0 |
0 |
330 |
1 |
7 |
14 |
733 |
| On Bias in the Estimation of Structural Break Points |
0 |
0 |
0 |
32 |
0 |
5 |
5 |
47 |
| On Leverage in a Stochastic Volatility Model |
0 |
0 |
0 |
126 |
1 |
7 |
10 |
362 |
| On Leverage in a Stochastic Volatility Model |
0 |
0 |
0 |
1 |
0 |
3 |
11 |
463 |
| On leverage in a stochastic volatility model |
0 |
0 |
0 |
0 |
1 |
10 |
13 |
333 |
| On the Optimal Forecast with the Fractional Brownian Motion |
0 |
0 |
1 |
35 |
1 |
4 |
6 |
32 |
| On the Spectral Density of Fractional Ornstein-Uhlenbeck Processes |
0 |
0 |
1 |
24 |
3 |
12 |
17 |
38 |
| Optimal Estimation for General Gaussian Processed |
0 |
0 |
3 |
3 |
2 |
25 |
34 |
34 |
| Optimal Estimation for General Gaussian Processes |
0 |
0 |
4 |
4 |
2 |
6 |
12 |
12 |
| Optimal Jackknife for Discrete Time and Continuous Time Unit Root Models |
0 |
0 |
0 |
43 |
0 |
4 |
5 |
93 |
| Optimal Jackknife for Discrete Time and Continuous Time Unit Root Models |
0 |
0 |
0 |
15 |
0 |
4 |
7 |
76 |
| Persistent and Rough Volatility |
0 |
0 |
3 |
85 |
0 |
8 |
13 |
198 |
| Random Coefficient Continuous Systems: Testing for Extreme Sample Path Behaviour |
0 |
0 |
0 |
23 |
1 |
2 |
6 |
76 |
| Random Coefficient Continuous Systems: Testing for Extreme Sample Path Behaviour |
0 |
0 |
0 |
7 |
1 |
11 |
12 |
67 |
| Realized Volatility Forecasting: Continuous versus Discrete Time Models |
3 |
6 |
26 |
26 |
13 |
66 |
81 |
81 |
| Risk of Predictive Distributions and Bayesian Model Comparison of Misspecified Models |
0 |
0 |
6 |
6 |
4 |
9 |
22 |
22 |
| Robust Deviance Information Criterion for Latent Variable Models |
0 |
0 |
0 |
56 |
0 |
10 |
11 |
221 |
| Robust Deviance Information Criterion for Latent Variable Models |
0 |
0 |
0 |
3 |
2 |
3 |
5 |
34 |
| Robust Testing for Explosive Behavior with Strongly Dependent Errors |
0 |
0 |
0 |
42 |
2 |
19 |
19 |
39 |
| Robust Testing for Explosive Behavior with Strongly Dependent Errors |
0 |
0 |
0 |
4 |
0 |
4 |
6 |
21 |
| Shrinkage Estimation of Covariance Matrix for Portfolio Choice with High Frequency Data |
0 |
0 |
0 |
23 |
0 |
1 |
5 |
43 |
| Simulated Maximum Likelihood Estimation for Latent Diffusion Models |
0 |
0 |
1 |
35 |
0 |
2 |
6 |
91 |
| Simulated Maximum Likelihood Estimation for Latent Diffusion Models |
0 |
1 |
1 |
3 |
0 |
6 |
9 |
40 |
| Simulated Maximum Likelihood Estimation for Latent Diffusion Models |
0 |
0 |
0 |
19 |
0 |
3 |
3 |
85 |
| Simulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models |
0 |
0 |
0 |
7 |
0 |
1 |
4 |
55 |
| Simulation-based Estimation Methods for Financial Time Series Models |
0 |
0 |
0 |
99 |
1 |
4 |
6 |
178 |
| Simulation-based Estimation of Contingent Claims Prices |
0 |
0 |
0 |
4 |
0 |
3 |
4 |
63 |
| Simulation-based Estimation of Contingent-claims Prices |
0 |
0 |
0 |
171 |
0 |
1 |
6 |
619 |
| Simulation-based Estimation of Contingent-claims Prices |
0 |
0 |
0 |
5 |
1 |
4 |
7 |
92 |
| Speci cation Sensitivity in Right-Tailed Unit Root Testing for Explosive Behavior |
0 |
0 |
0 |
2 |
1 |
1 |
3 |
42 |
| Speci fication Sensitivities in Right-Tailed Unit Root Testing for Financial Bubbles |
0 |
0 |
0 |
35 |
0 |
5 |
7 |
109 |
| Specification Sensitivities in Right-Tailed Unit Root Testing for Financial Bubbles |
0 |
0 |
0 |
117 |
1 |
3 |
7 |
291 |
| Specification Sensitivity in Right-Tailed Unit Root Testing for Explosive Behavior |
0 |
0 |
0 |
47 |
0 |
3 |
6 |
158 |
| Specification Sensitivity in Right-Tailed Unit Root Testing for Explosive Behavior |
0 |
0 |
0 |
78 |
1 |
7 |
11 |
309 |
| Specification Sensitivity in Right-Tailed Unit Root Testing for Explosive Behavior |
0 |
0 |
1 |
23 |
1 |
3 |
7 |
125 |
| SpeciÖcation Sensitivities in Right-Tailed Unit Root Testing for Financial Bubbles |
0 |
0 |
0 |
4 |
1 |
2 |
4 |
28 |
| Stimulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models |
0 |
0 |
0 |
19 |
0 |
1 |
3 |
89 |
| Teaching Financial Econometrics to Students Converting to Finance |
1 |
2 |
12 |
36 |
2 |
12 |
37 |
79 |
| Temporal Aggregation and Risk-Return Relation |
0 |
0 |
0 |
15 |
1 |
2 |
5 |
76 |
| Testing Predictability in the Presence of Persistent Errors |
0 |
0 |
4 |
13 |
1 |
7 |
24 |
43 |
| Testing for Multiple Bubbles |
0 |
0 |
1 |
107 |
1 |
11 |
19 |
373 |
| Testing for Multiple Bubbles |
0 |
1 |
4 |
196 |
4 |
37 |
56 |
573 |
| Testing for Multiple Bubbles |
0 |
1 |
2 |
16 |
1 |
6 |
12 |
70 |
| Testing for Multiple Bubbles |
0 |
0 |
1 |
245 |
3 |
12 |
19 |
806 |
| Testing for Multiple Bubbles 1: Historical Episodes of Exuberance and Collapse in the S&P 500 |
1 |
1 |
2 |
299 |
4 |
7 |
16 |
490 |
| Testing for Multiple Bubbles 2: Limit Theory of Real Time Detectors |
0 |
0 |
0 |
37 |
0 |
5 |
7 |
84 |
| Testing for Multiple Bubbles 2: Limit Theory of Real Time Detectors |
0 |
0 |
0 |
117 |
4 |
9 |
19 |
266 |
| Testing for Multiple Bubbles: Historical Episodes of Exuberance and Collapse in the S&P 500 |
1 |
1 |
1 |
331 |
7 |
70 |
82 |
877 |
| Testing for Multiple Bubbles: Limit Theory of Real Time Detectors |
0 |
0 |
1 |
121 |
2 |
9 |
16 |
447 |
| Testing for an Explosive Bubble using High-Frequency Volatility |
0 |
0 |
1 |
16 |
1 |
9 |
11 |
42 |
| Testing for an Explosive Bubble using High-Frequency Volatility |
0 |
1 |
3 |
10 |
4 |
14 |
24 |
48 |
| The Grid Bootstrap for Continuous Time Models |
0 |
0 |
0 |
35 |
0 |
2 |
5 |
68 |
| The Time-varying Zone-like and Asymmetric Preference of Central Banks: Evidence from China |
1 |
1 |
2 |
4 |
2 |
39 |
51 |
62 |
| Weak Identification of Long Memory with Implications for Inference |
0 |
0 |
0 |
7 |
1 |
4 |
9 |
24 |
| Weak Identification of Long Memory with Implications for Inference |
0 |
0 |
1 |
122 |
0 |
4 |
13 |
141 |
| Total Working Papers |
10 |
28 |
207 |
10,050 |
196 |
1,330 |
2,133 |
32,052 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Bayesian chi-squared test for hypothesis testing |
0 |
0 |
0 |
11 |
3 |
4 |
13 |
141 |
| A Gaussian approach for continuous time models of the short-term interest rate |
0 |
0 |
0 |
14 |
1 |
6 |
7 |
440 |
| A PANEL CLUSTERING APPROACH TO ANALYZING BUBBLE BEHAVIOR |
0 |
0 |
1 |
5 |
0 |
5 |
10 |
28 |
| A class of nonlinear stochastic volatility models and its implications for pricing currency options |
0 |
0 |
0 |
37 |
5 |
6 |
10 |
186 |
| A flexible and automated likelihood based framework for inference in stochastic volatility models |
0 |
0 |
0 |
4 |
0 |
0 |
3 |
38 |
| A new approach to Bayesian hypothesis testing |
0 |
0 |
0 |
30 |
1 |
4 |
7 |
142 |
| A semiparametric stochastic volatility model |
0 |
0 |
0 |
41 |
1 |
99 |
101 |
231 |
| A two-stage realized volatility approach to estimation of diffusion processes with discrete data |
0 |
0 |
0 |
32 |
1 |
5 |
8 |
138 |
| ASYMPTOTIC THEORY FOR ESTIMATING DRIFT PARAMETERS IN THE FRACTIONAL VASICEK MODEL |
0 |
0 |
0 |
3 |
0 |
2 |
3 |
27 |
| An Improved Bayesian Unit Root Test in Stochastic Volatility Models |
0 |
0 |
0 |
6 |
1 |
5 |
6 |
52 |
| Asymptotic theory for linear diffusions under alternative sampling schemes |
0 |
0 |
0 |
3 |
3 |
4 |
6 |
48 |
| Asymptotic theory for rough fractional Vasicek models |
0 |
0 |
0 |
1 |
0 |
3 |
7 |
61 |
| BUGS for a Bayesian analysis of stochastic volatility models |
0 |
0 |
0 |
32 |
1 |
1 |
5 |
1,263 |
| Bayesian Analysis of Bubbles in Asset Prices |
0 |
0 |
0 |
7 |
1 |
3 |
5 |
59 |
| Bayesian analysis of structural credit risk models with microstructure noises |
0 |
0 |
0 |
26 |
0 |
4 |
7 |
126 |
| Bayesian hypothesis testing in latent variable models |
0 |
0 |
0 |
28 |
0 |
1 |
4 |
184 |
| Bias in estimating multivariate and univariate diffusions |
0 |
0 |
0 |
22 |
0 |
5 |
10 |
119 |
| Bias in the estimation of mean reversion in continuous-time Lévy processes |
0 |
0 |
0 |
3 |
0 |
3 |
7 |
38 |
| Bias in the estimation of the mean reversion parameter in continuous time models |
0 |
0 |
0 |
66 |
1 |
9 |
14 |
381 |
| Bubble testing under polynomial trends |
0 |
0 |
0 |
0 |
3 |
9 |
9 |
9 |
| CTE Solvability, Nonlocal Symmetry, and Interaction Solutions of Coupled Integrable Dispersionless System |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Comment |
0 |
0 |
0 |
11 |
1 |
4 |
5 |
110 |
| Corrigendum to ‘A Gaussian approach for continuous time models of short‐term interest rates’ (Yu, J. and P. C. B. Phillips, Econometrics Journal, 4, 210–24) |
0 |
0 |
0 |
0 |
0 |
5 |
7 |
34 |
| Dating the timeline of financial bubbles during the subprime crisis |
1 |
1 |
2 |
98 |
1 |
6 |
18 |
325 |
| Detecting bubbles in Hong Kong residential property market |
1 |
1 |
2 |
45 |
1 |
13 |
22 |
228 |
| Deviance Information Criterion for Comparing Stochastic Volatility Models |
0 |
0 |
0 |
0 |
3 |
5 |
9 |
573 |
| Deviance information criterion for latent variable models and misspecified models |
0 |
0 |
0 |
20 |
0 |
8 |
11 |
112 |
| Do Stock Returns Follow a Finite Variance Distribution? |
0 |
0 |
0 |
25 |
0 |
1 |
2 |
199 |
| Double asymptotics for explosive continuous time models |
0 |
0 |
0 |
12 |
4 |
15 |
17 |
85 |
| ECONOMETRIC ANALYSIS OF CONTINUOUS TIME MODELS: A SURVEY OF PETER PHILLIPS’S WORK AND SOME NEW RESULTS |
0 |
0 |
0 |
11 |
0 |
4 |
6 |
72 |
| EMPIRICAL CHARACTERISTIC FUNCTION IN TIME SERIES ESTIMATION |
1 |
1 |
1 |
35 |
1 |
3 |
5 |
158 |
| EXPLOSIVE BEHAVIOR IN THE 1990s NASDAQ: WHEN DID EXUBERANCE ESCALATE ASSET VALUES? |
0 |
0 |
0 |
0 |
3 |
16 |
21 |
716 |
| Editorial |
0 |
0 |
0 |
2 |
0 |
18 |
20 |
74 |
| Empirical Characteristic Function Estimation and Its Applications |
0 |
0 |
1 |
293 |
1 |
6 |
12 |
711 |
| Estimation of hyperbolic diffusion using the Markov chain Monte Carlo method |
0 |
0 |
0 |
4 |
0 |
5 |
6 |
34 |
| Forecasting Equity Index Volatility by Measuring the Linkage among Component Stocks* |
0 |
0 |
0 |
2 |
1 |
4 |
5 |
14 |
| Forecasting Realized Volatility Using a Nonnegative Semiparametric Model |
0 |
0 |
0 |
2 |
1 |
7 |
12 |
34 |
| Forecasting volatility in the New Zealand stock market |
0 |
0 |
0 |
246 |
0 |
2 |
2 |
715 |
| Fractional Gaussian Noise: Spectral Density and Estimation Methods |
1 |
2 |
2 |
2 |
2 |
9 |
9 |
9 |
| Fractional stochastic volatility model |
0 |
0 |
0 |
0 |
3 |
6 |
8 |
10 |
| Housing equity and household consumption in retirement: evidence from the Singapore Life Panel© |
0 |
0 |
0 |
0 |
1 |
4 |
6 |
15 |
| Improved marginal likelihood estimation via power posteriors and importance sampling |
0 |
0 |
0 |
6 |
0 |
6 |
10 |
34 |
| In-fill asymptotic theory for structural break point in autoregressions |
0 |
0 |
0 |
0 |
1 |
14 |
18 |
23 |
| Indirect inference for dynamic panel models |
0 |
0 |
0 |
213 |
1 |
6 |
12 |
543 |
| Inference in continuous systems with mildly explosive regressors |
0 |
0 |
0 |
8 |
0 |
1 |
3 |
66 |
| Information loss in volatility measurement with flat price trading |
0 |
0 |
0 |
1 |
2 |
12 |
24 |
36 |
| Jackknifing Bond Option Prices |
0 |
0 |
0 |
81 |
1 |
7 |
9 |
304 |
| Latent local-to-unity models |
0 |
0 |
0 |
1 |
0 |
5 |
9 |
13 |
| Limit theory for an explosive autoregressive process |
0 |
0 |
0 |
8 |
1 |
6 |
8 |
74 |
| Local powers of least‐squares‐based test for panel fractional Ornstein–Uhlenbeck process |
0 |
0 |
0 |
0 |
1 |
15 |
15 |
15 |
| Maximum Likelihood Estimation for the Fractional Vasicek Model |
0 |
0 |
0 |
4 |
0 |
8 |
11 |
37 |
| Maximum likelihood estimation of partially observed diffusion models |
0 |
0 |
0 |
10 |
0 |
8 |
12 |
105 |
| Mildly Explosive Autoregression with Anti‐persistent Errors |
0 |
0 |
0 |
3 |
0 |
4 |
8 |
21 |
| Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process |
0 |
0 |
4 |
20 |
2 |
10 |
24 |
61 |
| Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison |
1 |
1 |
2 |
64 |
2 |
8 |
14 |
236 |
| Multivariate Stochastic Volatility: A Review |
0 |
0 |
0 |
131 |
3 |
8 |
15 |
361 |
| Multivariate stochastic volatility models based on generalized Fisher transformation |
0 |
0 |
3 |
3 |
5 |
13 |
23 |
23 |
| New distribution theory for the estimation of structural break point in mean |
0 |
0 |
0 |
12 |
0 |
3 |
4 |
50 |
| New methodology for constructing real estate price indices applied to the Singapore residential market |
0 |
1 |
5 |
27 |
1 |
6 |
14 |
136 |
| On leverage in a stochastic volatility model |
0 |
0 |
1 |
261 |
0 |
7 |
20 |
580 |
| On stiffness in affine asset pricing models |
0 |
0 |
0 |
0 |
0 |
2 |
4 |
4 |
| On the optimal forecast with the fractional Brownian motion |
0 |
0 |
1 |
6 |
0 |
1 |
7 |
18 |
| On the spectral density of fractional Ornstein–Uhlenbeck processes |
0 |
0 |
0 |
0 |
4 |
14 |
20 |
23 |
| Optimal jackknife for unit root models |
0 |
0 |
0 |
2 |
1 |
4 |
4 |
29 |
| Posterior-based Wald-type statistics for hypothesis testing |
0 |
0 |
1 |
4 |
3 |
12 |
18 |
31 |
| Random coefficient continuous systems: Testing for extreme sample path behavior |
0 |
0 |
0 |
5 |
2 |
8 |
13 |
66 |
| Realized Daily Variance of S&P 500 Cash Index: A Revaluation of Stylized Facts |
0 |
1 |
2 |
28 |
2 |
9 |
21 |
304 |
| Robust testing for explosive behavior with strongly dependent errors |
0 |
0 |
2 |
3 |
0 |
6 |
14 |
23 |
| SPECIAL ISSUE OF ECONOMETRIC THEORY ON SETA 2010: EDITORS’ INTRODUCTION |
0 |
0 |
0 |
9 |
0 |
4 |
5 |
64 |
| Self-Exciting Jumps, Learning, and Asset Pricing Implications |
0 |
1 |
1 |
24 |
0 |
6 |
10 |
114 |
| Simulation-Based Estimation of Contingent-Claims Prices |
0 |
0 |
1 |
29 |
0 |
10 |
15 |
116 |
| Single-cell and spatially resolved omics reveal transcriptional and metabolic signatures of ovarian endometriomas |
0 |
0 |
0 |
0 |
2 |
3 |
3 |
3 |
| Specification Sensitivity in Right-Tailed Unit Root Testing for Explosive Behaviour |
0 |
0 |
0 |
34 |
2 |
8 |
12 |
144 |
| Specification tests based on MCMC output |
0 |
0 |
0 |
1 |
1 |
7 |
11 |
50 |
| Structure of ATTRv-F64S fibrils isolated from skin tissue of a living patient |
1 |
10 |
10 |
10 |
2 |
15 |
15 |
15 |
| TESTING FOR MULTIPLE BUBBLES: HISTORICAL EPISODES OF EXUBERANCE AND COLLAPSE IN THE S&P 500 |
6 |
12 |
24 |
57 |
20 |
51 |
101 |
233 |
| TESTING FOR MULTIPLE BUBBLES: LIMIT THEORY OF REAL‐TIME DETECTORS |
0 |
1 |
4 |
12 |
3 |
11 |
30 |
63 |
| Targeting TNK2/ACK1 reverses the immunosuppressive tumor microenvironment and synergizes with immunochemotherapy in pancreatic cancer |
0 |
6 |
6 |
6 |
1 |
11 |
11 |
11 |
| Targeting of the m6A eraser ALKBH5 suppresses stemness and chemoresistance of colorectal cancer |
0 |
5 |
5 |
5 |
1 |
17 |
17 |
17 |
| Temporal aggregation and risk-return relation |
0 |
0 |
0 |
14 |
1 |
4 |
6 |
76 |
| Testing the expectations theory of the term structure for New Zealand |
0 |
0 |
0 |
11 |
2 |
10 |
11 |
52 |
| The Grid Bootstrap for Continuous Time Models |
0 |
0 |
0 |
2 |
0 |
6 |
10 |
23 |
| The time-varying zone-like and asymmetric preference of central banks: Evidence from China |
0 |
0 |
0 |
0 |
8 |
30 |
30 |
30 |
| Theory & Methods: Estimation of the Stochastic Volatility Model by the Empirical Characteristic Function Method |
0 |
0 |
0 |
101 |
0 |
2 |
5 |
238 |
| Volatility Puzzle: Long Memory or Antipersistency |
0 |
0 |
1 |
9 |
1 |
4 |
13 |
36 |
| Total Journal Articles |
12 |
43 |
82 |
2,404 |
121 |
721 |
1,104 |
12,440 |