Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Comparison of Minimum MSE and Maximum Power for the Nearly Integrated Non-Gaussian Model |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
564 |
A Comparison of Minimum MSE and Maximum Power for the nearly Integrated Non-Gaussian Model |
0 |
0 |
0 |
57 |
0 |
0 |
1 |
494 |
A Comparison of Parametric, Semi-nonparametric, Adaptive, and Nonparametric Cointegration Tests |
0 |
0 |
0 |
330 |
0 |
0 |
0 |
1,355 |
A Dynamic Model of Investor Decision-Making: How Adaptation to Losses affects Future Selling Decisions |
0 |
0 |
0 |
108 |
0 |
0 |
1 |
344 |
A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations |
0 |
0 |
1 |
65 |
0 |
0 |
3 |
199 |
A General Framework for Observation Driven Time-Varying Parameter Models |
1 |
1 |
4 |
118 |
1 |
3 |
12 |
295 |
A General Framework for Observation Driven Time-Varying Parameter Models |
0 |
0 |
1 |
172 |
0 |
0 |
3 |
408 |
A Hybrid Joint Moment Ratio Test for Financial Time Series |
1 |
1 |
1 |
249 |
1 |
1 |
3 |
1,292 |
A New Semiparametric Volatility Model |
0 |
0 |
0 |
64 |
0 |
0 |
2 |
105 |
A Non-Gaussian Panel Time Series Model for Estimating and Decomposing Default Risk |
0 |
0 |
0 |
122 |
0 |
1 |
4 |
464 |
A comparison of parametric, semi-nonparametric, adaptive and nonparametric tests |
0 |
0 |
0 |
216 |
0 |
0 |
0 |
1,576 |
A note on optimal estimation from a risk management perspective under possibly mis-specified tail behavior |
0 |
0 |
0 |
169 |
0 |
0 |
0 |
531 |
Accounting for Missing Values in Score-Driven Time-Varying Parameter Models |
0 |
0 |
0 |
14 |
0 |
0 |
3 |
60 |
Aggregating Credit and Market Risk: The Impact of Model Specification |
0 |
0 |
1 |
96 |
1 |
1 |
3 |
263 |
An analytic approach to credit risk of large corporate bond and loan portfolios |
0 |
0 |
4 |
874 |
0 |
0 |
5 |
1,737 |
Analytic Decision Rules for Financial Stochastic Programs |
0 |
0 |
0 |
354 |
0 |
0 |
0 |
1,023 |
Arbitrage and sampling uncertainty in financial stochastic programming models |
0 |
0 |
0 |
19 |
0 |
0 |
0 |
65 |
Bank Business Models at Zero Interest Rates |
0 |
0 |
0 |
40 |
0 |
0 |
0 |
82 |
Bank business models at zero interest rates |
0 |
0 |
0 |
35 |
0 |
0 |
1 |
81 |
Black Scholes for Portfolios of Options in Discrete Time: the Price is Right, the Hedge is wrong |
0 |
1 |
1 |
425 |
0 |
2 |
7 |
1,462 |
Blockholder Dispersion and Firm Value |
0 |
0 |
0 |
53 |
0 |
0 |
1 |
211 |
Blockholder dispersion and firm value |
0 |
0 |
1 |
25 |
1 |
1 |
3 |
122 |
Business and Default Cycles for Credit Risk |
0 |
1 |
3 |
892 |
0 |
1 |
3 |
1,919 |
COVID-19, Credit Risk and Macro Fundamentals |
0 |
0 |
2 |
25 |
0 |
0 |
2 |
35 |
Cash Flow and Discount Rate Risk in Up and Down Markets: What is actually priced? |
0 |
0 |
0 |
59 |
0 |
0 |
0 |
219 |
Cash flow and discount rate risk in up and down markets: What is actually priced? |
0 |
0 |
0 |
25 |
0 |
1 |
2 |
151 |
Closed-Form Multi-Factor Copula Models with Observation-Driven Dynamic Factor Loadings |
0 |
0 |
0 |
38 |
0 |
0 |
1 |
97 |
Clustering Dynamics and Persistence for Financial Multivariate Panel Data |
0 |
0 |
0 |
16 |
0 |
0 |
5 |
36 |
Comprehensive Definitions of Breakdown-Points for Independent and Dependent Observations |
0 |
0 |
0 |
78 |
0 |
0 |
1 |
656 |
Conditional Probabilities and Contagion Measures for Euro Area Sovereign Default Risk |
0 |
0 |
0 |
79 |
0 |
0 |
1 |
240 |
Conditional and joint credit risk |
0 |
0 |
0 |
23 |
0 |
0 |
1 |
86 |
Conditional euro area sovereign default risk |
0 |
0 |
0 |
56 |
0 |
1 |
1 |
113 |
Consistency, distributional convergence, and optimality of score-driven filters |
0 |
0 |
13 |
13 |
0 |
2 |
11 |
11 |
Credit Cycles and Macro Fundamentals |
0 |
0 |
0 |
285 |
0 |
0 |
1 |
865 |
Credit cycles and macro fundamentals |
0 |
0 |
0 |
180 |
0 |
0 |
1 |
600 |
De Pensioen- en Verzekeringskamer komen van rechts: buffervorming en beleggingsbeleid bij Nederlandse Pensioenfondsen |
0 |
0 |
0 |
54 |
0 |
0 |
0 |
456 |
Deepening the measurement of technical inefficiency in private farming in Georgia: locally parametric regression |
0 |
0 |
0 |
63 |
0 |
0 |
1 |
366 |
Discrete versus Continuous State Switching Models for Portfolio Credit Risk |
0 |
0 |
0 |
189 |
0 |
0 |
0 |
913 |
Do Negative Interest Rates Make Banks Less Safe? |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
59 |
Do negative interest rates make banks less safe? |
0 |
0 |
1 |
41 |
0 |
0 |
4 |
199 |
Dynamic clustering of multivariate panel data |
0 |
0 |
0 |
6 |
0 |
0 |
2 |
23 |
Dynamic clustering of multivariate panel data |
0 |
0 |
0 |
80 |
0 |
2 |
9 |
128 |
Dynamic factor models with macro, frailty and industry effects for US default counts: the credit crisis of 2008 |
0 |
0 |
1 |
56 |
0 |
0 |
4 |
162 |
Dynamic nonparametric clustering of multivariate panel data |
0 |
1 |
2 |
21 |
0 |
1 |
6 |
21 |
Dynamic term structure models with score-driven time-varying parameters: estimation and forecasting |
0 |
0 |
2 |
74 |
1 |
1 |
5 |
102 |
Estimating Systematic Continuous-time Trends in Recidivism using a Non-Gaussian Panel Data Model |
0 |
0 |
0 |
71 |
0 |
0 |
0 |
511 |
Explaining Hedge Fund Investment Styles by Loss Aversion |
0 |
0 |
0 |
804 |
0 |
0 |
1 |
2,232 |
Finite Sample Optimality of Score-Driven Volatility Models |
0 |
0 |
0 |
49 |
0 |
0 |
2 |
52 |
Forecasting Cross-Sections of Frailty-Correlated Default |
0 |
0 |
0 |
73 |
2 |
3 |
6 |
272 |
Fractional Integration and Fat Tails for Realized Covariance Kernels and Returns |
0 |
0 |
1 |
32 |
1 |
1 |
2 |
52 |
Generalized Autoregressive Method of Moments |
0 |
0 |
0 |
74 |
0 |
0 |
9 |
138 |
Global Credit Risk: World, Country and Industry Factors |
0 |
0 |
0 |
26 |
0 |
0 |
2 |
145 |
Global Loss Diversification in the Insurance Sector |
0 |
0 |
4 |
47 |
0 |
0 |
4 |
238 |
Global credit risk: world country and industry factors |
0 |
0 |
0 |
32 |
0 |
0 |
2 |
104 |
In-Sample Bounds for Time-Varying Parameters of Observation Driven Models |
0 |
0 |
0 |
15 |
0 |
0 |
1 |
54 |
In-Sample Confidence Bands and Out-of-Sample Forecast Bands for Time-Varying Parameters in Observation Driven Models |
0 |
0 |
0 |
61 |
0 |
0 |
1 |
64 |
Information Theoretic Optimality of Observation Driven Time Series Models |
0 |
0 |
1 |
46 |
0 |
0 |
3 |
92 |
Intraday Stochastic Volatility in Discrete Price Changes: the Dynamic Skellam Model |
0 |
0 |
0 |
53 |
0 |
0 |
2 |
91 |
Intraday Stock Price Dependence using Dynamic Discrete Copula Distributions |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
95 |
Joint Bayesian Analysis of Parameters and States in Nonlinear, Non-Gaussian State Space Models |
0 |
0 |
0 |
72 |
0 |
0 |
0 |
64 |
Long Memory Dynamics for Multivariate Dependence under Heavy Tails |
0 |
0 |
0 |
47 |
0 |
0 |
0 |
160 |
Long-Term versus Short-Term Contingencies in Asset Allocation |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
225 |
Macro, Industry and Frailty Effects in Defaults: The 2008 Credit Crisis in Perspective |
0 |
0 |
0 |
57 |
0 |
0 |
0 |
160 |
Maximum Likelihood Estimation for Score-Driven Models |
0 |
0 |
0 |
58 |
0 |
1 |
3 |
185 |
Maximum Likelihood Estimation for correctly Specified Generalized Autoregressive Score Models: Feedback Effects, Contraction Conditions and Asymptotic Properties |
0 |
0 |
1 |
49 |
0 |
0 |
4 |
114 |
Measuring Credit Risk in a Large Banking System: Econometric Modeling and Empirics |
0 |
0 |
1 |
103 |
0 |
1 |
3 |
191 |
Mixed Density based Copula Likelihood |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
76 |
Model-based Business Cycle and Financial Cycle Decomposition for Europe and the U.S |
0 |
0 |
2 |
94 |
0 |
0 |
3 |
230 |
Modeling Dynamic Volatilities and Correlations under Skewness and Fat Tails |
0 |
0 |
2 |
55 |
0 |
0 |
3 |
152 |
Modeling Portfolio Defaults using Hidden Markov Models with Covariates |
0 |
0 |
0 |
143 |
0 |
0 |
2 |
558 |
Modeling extreme events: time-varying extreme tail shape |
0 |
0 |
1 |
27 |
0 |
1 |
8 |
72 |
Modeling extreme events: time-varying extreme tail shape |
0 |
0 |
1 |
22 |
0 |
0 |
1 |
64 |
Modeling extreme events:time-varying extreme tail shape |
0 |
3 |
4 |
9 |
0 |
7 |
10 |
14 |
Modeling financial sector joint tail risk in the euro area |
0 |
0 |
1 |
18 |
0 |
0 |
2 |
71 |
Modeling financial sector joint tail risk in the euro area |
0 |
0 |
0 |
36 |
0 |
0 |
0 |
65 |
Network, Market, and Book-Based Systemic Risk Rankings |
0 |
0 |
0 |
65 |
0 |
0 |
6 |
121 |
New HEAVY Models for Fat-Tailed Returns and Realized Covariance Kernels |
0 |
0 |
0 |
34 |
0 |
0 |
2 |
69 |
Nonparametric Estimation for Non-Homogeneous Semi-Markov Processes: An Application to Credit Risk |
0 |
0 |
3 |
203 |
0 |
0 |
4 |
607 |
Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State Space Models |
0 |
0 |
0 |
76 |
0 |
0 |
0 |
152 |
Nut, gebruik en beperkingen van value-at-risk voor risicomanagement |
0 |
0 |
0 |
95 |
0 |
0 |
0 |
370 |
Observation Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk |
0 |
0 |
1 |
57 |
0 |
0 |
1 |
156 |
Observation driven mixed-measurement dynamic factor models with an application to credit risk |
0 |
0 |
2 |
46 |
0 |
1 |
7 |
157 |
Observation-driven Models for Realized Variances and Overnight Returns |
0 |
0 |
0 |
31 |
0 |
0 |
0 |
39 |
On the inefficiency of portfolio insurance and caveats to the mean/downside-risk framework |
0 |
0 |
0 |
340 |
1 |
1 |
2 |
897 |
Optimal Formulations for Nonlinear Autoregressive Processes |
0 |
0 |
0 |
52 |
0 |
0 |
1 |
98 |
Outlier Robust Analysis of Market Share and Distribution Relations for Weekly Scanning Data |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
41 |
Outlier robust cointegration analysis |
0 |
0 |
0 |
240 |
0 |
1 |
1 |
564 |
Predicting Time-Varying Parameters with Parameter-Driven and Observation-Driven Models |
0 |
0 |
0 |
93 |
0 |
0 |
1 |
233 |
Pro-Cyclicality, Empirical Credit Cycles, and Capital Buffer Formation |
0 |
0 |
0 |
307 |
0 |
0 |
0 |
812 |
Quantile Forecasting for Credit Risk Management using possibly Mis-specified Hidden Markov Models |
0 |
0 |
1 |
193 |
0 |
0 |
2 |
517 |
Regime switches in the volatility and correlation of financial institutions |
1 |
1 |
2 |
102 |
1 |
1 |
4 |
189 |
Risk Aversion under Preference Uncertainty |
0 |
0 |
0 |
36 |
0 |
0 |
0 |
97 |
Risk aversion under preference uncertainty |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
53 |
Risk endogeneity at the lender/investor-of-last-resort |
0 |
0 |
0 |
24 |
0 |
0 |
1 |
27 |
Risk endogeneity at the lender/investor-of-last-resort |
0 |
0 |
0 |
8 |
0 |
1 |
1 |
53 |
Risk endogeneity at the lender/investor-of-last-resort |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
44 |
Round-the-Clock Price Discovery for Cross-Listed Stocks: US-Dutch Evidence |
0 |
0 |
0 |
245 |
0 |
0 |
0 |
1,048 |
SETS, Arbitrage Activity, and Stock Price Dynamics |
0 |
0 |
0 |
310 |
0 |
0 |
0 |
1,381 |
Score Driven Exponentially Weighted Moving Averages and Value-at-Risk Forecasting |
0 |
0 |
0 |
36 |
1 |
2 |
3 |
73 |
Score Driven exponentially Weighted Moving Average and Value-at-Risk Forecasting |
0 |
0 |
0 |
91 |
0 |
0 |
3 |
129 |
Score-Driven Systemic Risk Signaling for European Sovereign Bond Yields and CDS Spreads |
0 |
0 |
1 |
35 |
0 |
1 |
4 |
61 |
Semi-nonparametric cointegration testing |
0 |
0 |
0 |
152 |
0 |
0 |
1 |
477 |
Short Patches of Outliers, ARCH and Volatility Modeling |
0 |
0 |
1 |
281 |
0 |
0 |
1 |
1,015 |
Spillover Dynamics for Systemic Risk Measurement using Spatial Financial Time Series Models |
0 |
0 |
2 |
68 |
0 |
0 |
8 |
114 |
Spillover dynamics for systemic risk measurement using spatial financial time series models |
0 |
0 |
4 |
49 |
0 |
0 |
5 |
147 |
Stationarity and Ergodicity Regions for Score Driven Dynamic Correlation Models |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
59 |
Stationarity and Ergodicity of Univariate Generalized Autoregressive Score Processes |
0 |
1 |
2 |
60 |
0 |
1 |
4 |
130 |
Stochastic processes, non-normal innovations, and the use of scaling ratios |
0 |
0 |
0 |
81 |
0 |
0 |
0 |
325 |
Stock Selection, Style Rotation, and Risk |
0 |
0 |
0 |
666 |
1 |
1 |
3 |
1,798 |
Strategic and tactical asset allocation and the effect of long-run equilibrium relations |
0 |
1 |
2 |
1,953 |
0 |
1 |
4 |
5,567 |
Systemic Risk Diagnostics |
0 |
0 |
0 |
93 |
0 |
0 |
0 |
211 |
Systemic risk diagnostics: coincident indicators and early warning signals |
0 |
0 |
0 |
147 |
0 |
0 |
2 |
463 |
Tail Behavior of Credit Loss Distributions for General Latent Factor Models |
0 |
0 |
1 |
413 |
0 |
0 |
2 |
1,152 |
Tail Heterogeneity for Dynamic Covariance Matrices: the F-Riesz Distribution |
0 |
0 |
0 |
34 |
1 |
1 |
4 |
56 |
Tail behavior of credit loss distributions |
0 |
0 |
3 |
335 |
0 |
0 |
6 |
1,069 |
Testing backtesting: an evaluation of the Basle guidelines for backtesting internal risk management models of banks |
0 |
0 |
0 |
675 |
0 |
0 |
1 |
1,667 |
Testing for ARCH in the Presence of Additive Outliers |
0 |
0 |
0 |
26 |
0 |
1 |
1 |
139 |
Testing for Parameter Instability in Competing Modeling Frameworks |
0 |
0 |
0 |
21 |
0 |
0 |
1 |
76 |
Testing for Smooth Transition Nonlinearity in the Presence of Outliers |
0 |
0 |
0 |
47 |
0 |
0 |
1 |
141 |
The Dynamic Skellam Model with Applications |
0 |
0 |
1 |
35 |
0 |
1 |
4 |
137 |
The Information in Systemic Risk Rankings |
0 |
0 |
0 |
28 |
0 |
0 |
0 |
91 |
The Multi-State Latent Factor Intensity Model for Credit Rating Transitions |
0 |
0 |
0 |
236 |
0 |
0 |
1 |
678 |
The information in systemic risk rankings |
0 |
0 |
1 |
40 |
0 |
0 |
9 |
148 |
Time Varying Transition Probabilities for Markov Regime Switching Models |
0 |
0 |
3 |
129 |
0 |
2 |
16 |
443 |
Time-varying tail behavior for realized kernels |
0 |
0 |
0 |
24 |
0 |
0 |
0 |
28 |
Washington Meets Wall Street: A Closer Examination of the Presidential Cylce Puzzle |
0 |
0 |
0 |
12 |
0 |
0 |
1 |
67 |
Washington meets Wall Street: A Closer Examination of the Presidential Cycle Puzzle |
0 |
0 |
0 |
62 |
1 |
1 |
2 |
214 |
Washington meets Wall Street: A closer examination of the presidential cycle puzzle |
0 |
0 |
0 |
12 |
0 |
0 |
1 |
87 |
Why do investors sell losers? How adaptation to losses affects future capitulation decisions |
0 |
1 |
1 |
12 |
0 |
2 |
2 |
130 |
Total Working Papers |
3 |
12 |
88 |
16,675 |
14 |
51 |
315 |
51,348 |
Journal Article |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations |
0 |
0 |
0 |
28 |
0 |
0 |
4 |
108 |
A Non-Gaussian Panel Time Series Model for Estimating and Decomposing Default Risk |
0 |
0 |
1 |
52 |
0 |
0 |
3 |
202 |
A Note on Optimal Estimation from a Risk-Management Perspective under Possibly Misspecified Tail Behavior |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
444 |
A comparison of minimum MSE and maximum power for the nearly integrated non-Gaussian model |
0 |
0 |
0 |
22 |
0 |
0 |
3 |
234 |
A note on the relationship between GARCH and symmetric stable processes |
0 |
1 |
1 |
36 |
0 |
1 |
1 |
103 |
A stochastic recurrence equations approach for score driven correlation models |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
12 |
Accounting for missing values in score-driven time-varying parameter models |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
33 |
Amendments and Corrections |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
10 |
An analytic approach to credit risk of large corporate bond and loan portfolios |
0 |
0 |
3 |
245 |
1 |
2 |
6 |
589 |
An outlier robust unit root test with an application to the extended Nelson-Plosser data |
0 |
0 |
0 |
102 |
0 |
1 |
2 |
341 |
Bank Business Models at Zero Interest Rates |
0 |
0 |
0 |
7 |
0 |
0 |
3 |
43 |
Blockholder dispersion and firm value |
0 |
2 |
11 |
64 |
2 |
4 |
29 |
234 |
Business and default cycles for credit risk |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
12 |
Business and default cycles for credit risk |
0 |
0 |
1 |
453 |
0 |
0 |
7 |
1,236 |
Cash Flow and Discount Rate Risk in Up and Down Markets: What Is Actually Priced? |
0 |
0 |
0 |
18 |
0 |
0 |
1 |
102 |
Classical and Bayesian aspects of robust unit root inference |
0 |
0 |
0 |
52 |
0 |
0 |
0 |
156 |
Closed-Form Multi-Factor Copula Models With Observation-Driven Dynamic Factor Loadings |
0 |
0 |
1 |
2 |
0 |
0 |
6 |
17 |
Cointegration Testing Using Pseudolikelihood Ratio Tests |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
58 |
Community Driven Development and Structural Disadvantage: Interrogating the Social Turn in Development Programming in Indonesia |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
35 |
Comprehensive definitions of breakdown points for independent and dependent observations |
0 |
0 |
0 |
8 |
0 |
0 |
1 |
99 |
Conditional Euro Area Sovereign Default Risk |
0 |
0 |
1 |
41 |
0 |
1 |
5 |
120 |
Covid-19, credit risk management modeling, and government support |
0 |
1 |
3 |
7 |
0 |
2 |
7 |
19 |
Credit cycles and macro fundamentals |
0 |
0 |
2 |
200 |
1 |
2 |
7 |
588 |
Deepening the Measuring of Technical Inefficiency in Private Farming in Georgia: Locally Parametric Regression |
0 |
0 |
0 |
89 |
0 |
0 |
1 |
367 |
Discrete versus continuous state switching models for portfolio credit risk |
0 |
0 |
0 |
37 |
0 |
0 |
1 |
240 |
Discrete-Time Financial Planning Models Under Loss-Averse Preferences |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
12 |
Do negative interest rates make banks less safe? |
0 |
0 |
0 |
63 |
0 |
2 |
8 |
195 |
Dynamic Factor Models With Macro, Frailty, and Industry Effects for U.S. Default Counts: The Credit Crisis of 2008 |
0 |
0 |
2 |
30 |
0 |
0 |
3 |
128 |
Dynamic Nonparametric Clustering of Multivariate Panel Data* |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
Dynamic clustering of multivariate panel data |
0 |
1 |
2 |
2 |
0 |
3 |
7 |
7 |
Dynamic discrete copula models for high‐frequency stock price changes |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
23 |
Dynamic partial correlation models |
0 |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
Empirical credit cycles and capital buffer formation |
0 |
0 |
0 |
142 |
0 |
0 |
2 |
396 |
Erratum to "An analytic approach to credit risk of large corporate bond and loan portfolios" [Journal of Banking and Finance 25, no. 9, pp. 1635-1664] |
0 |
0 |
0 |
32 |
0 |
0 |
0 |
133 |
Estimating systematic continuous‐time trends in recidivism using a non‐Gaussian panel data model |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
105 |
Evaluating the Basle Guidelines for Backtesting Banks' Internal Risk Management Models |
0 |
0 |
0 |
0 |
0 |
6 |
23 |
1,604 |
Finite Sample Optimality of Score-Driven Volatility Models: Some Monte Carlo Evidence |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
Fractional Integration and Fat Tails for Realized Covariance Kernels |
0 |
0 |
1 |
5 |
0 |
0 |
1 |
15 |
GENERALIZED AUTOREGRESSIVE SCORE MODELS WITH APPLICATIONS |
0 |
0 |
5 |
101 |
0 |
0 |
13 |
328 |
Global Credit Risk: World, Country and Industry Factors |
0 |
0 |
0 |
7 |
0 |
0 |
2 |
90 |
Global loss diversification in the insurance sector |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
135 |
Hedging Large Portfolios of Options in Discrete Time |
0 |
0 |
1 |
39 |
0 |
1 |
3 |
147 |
Heterogeneity and dynamics in network models |
0 |
0 |
1 |
1 |
0 |
1 |
5 |
5 |
In-sample confidence bands and out-of-sample forecast bands for time-varying parameters in observation-driven models |
0 |
3 |
4 |
30 |
0 |
3 |
12 |
98 |
Inference on cointegrating ranks using lr and lm tests based on pseudo-likelihoods |
0 |
0 |
1 |
17 |
0 |
0 |
2 |
81 |
Information-theoretic optimality of observation-driven time series models for continuous responses |
0 |
1 |
3 |
21 |
0 |
1 |
5 |
61 |
Intraday Stochastic Volatility in Discrete Price Changes: The Dynamic Skellam Model |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
28 |
Joint Bayesian Analysis of Parameters and States in Nonlinear non‐Gaussian State Space Models |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
20 |
Long memory dynamics for multivariate dependence under heavy tails |
0 |
0 |
7 |
22 |
0 |
2 |
10 |
103 |
Long-Term versus Short-Term Contingencies in Asset Allocation |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
65 |
Maximum likelihood estimation for score-driven models |
0 |
0 |
2 |
9 |
0 |
2 |
12 |
37 |
Modeling Around-the-Clock Price Discovery for Cross-Listed Stocks Using State Space Methods |
0 |
0 |
1 |
81 |
0 |
0 |
1 |
203 |
Modeling Financial Sector Joint Tail Risk in the Euro Area |
0 |
1 |
1 |
5 |
0 |
3 |
5 |
42 |
Modeling frailty-correlated defaults using many macroeconomic covariates |
0 |
0 |
1 |
66 |
0 |
0 |
2 |
252 |
Modelling Portfolio Defaults Using Hidden Markov Models with Covariates |
0 |
0 |
0 |
87 |
0 |
1 |
2 |
426 |
Network, market, and book-based systemic risk rankings |
0 |
0 |
1 |
12 |
0 |
0 |
5 |
84 |
New HEAVY Models for Fat-Tailed Realized Covariances and Returns |
0 |
0 |
2 |
5 |
0 |
0 |
3 |
13 |
Nonlinear autoregressive models with optimality properties |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
14 |
Nowcasting and forecasting global financial sector stress and credit market dislocation |
0 |
0 |
0 |
19 |
1 |
1 |
3 |
91 |
Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State-Space Models |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
59 |
Nut, gebruik en beperkingen van Value-at-Risk voor risicomanagement |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
27 |
Observation-Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk |
0 |
0 |
1 |
42 |
0 |
0 |
3 |
191 |
Observation-driven filtering of time-varying parameters using moment conditions |
1 |
1 |
4 |
4 |
1 |
1 |
7 |
7 |
Observation-driven models for realized variances and overnight returns applied to Value-at-Risk and Expected Shortfall forecasting |
0 |
0 |
1 |
4 |
0 |
0 |
2 |
15 |
Outlier Detection in Cointegration Analysis |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
765 |
Outlier robust analysis of long-run marketing effects for weekly scanning data |
0 |
1 |
2 |
46 |
0 |
1 |
2 |
202 |
Predicting Time-Varying Parameters with Parameter-Driven and Observation-Driven Models |
0 |
2 |
5 |
38 |
1 |
5 |
17 |
155 |
Quantile forecasting for credit risk management using possibly misspecified hidden Markov models |
0 |
0 |
0 |
53 |
0 |
0 |
0 |
207 |
Quantiles for t-statistics based on M-estimators of unit roots |
0 |
0 |
1 |
22 |
0 |
0 |
2 |
299 |
Risk aversion under preference uncertainty |
0 |
0 |
0 |
17 |
0 |
0 |
3 |
115 |
Risk endogeneity at the lender/investor-of-last-resort |
0 |
1 |
1 |
7 |
1 |
2 |
2 |
30 |
SETS, arbitrage activity, and stock price dynamics |
0 |
0 |
0 |
35 |
0 |
0 |
3 |
170 |
Score-driven exponentially weighted moving averages and Value-at-Risk forecasting |
0 |
1 |
1 |
17 |
1 |
3 |
4 |
86 |
Semi-nonparametric cointegration testing |
0 |
0 |
0 |
42 |
0 |
0 |
0 |
157 |
Semiparametric score driven volatility models |
0 |
0 |
1 |
23 |
0 |
1 |
5 |
82 |
Short patches of outliers, ARCH and volatility modelling |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
210 |
Spillover dynamics for systemic risk measurement using spatial financial time series models |
0 |
0 |
7 |
40 |
4 |
5 |
23 |
159 |
Stock selection, style rotation, and risk |
0 |
0 |
1 |
125 |
0 |
0 |
6 |
469 |
Tail behaviour of credit loss distributions for general latent factor models |
0 |
0 |
2 |
100 |
0 |
0 |
2 |
454 |
Testing for ARCH in the Presence of Additive Outliers |
0 |
0 |
0 |
213 |
0 |
1 |
3 |
789 |
Testing for Parameter Instability across Different Modeling Frameworks |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
26 |
Testing for Smooth Transition Nonlinearity in the Presence of Outliers |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
512 |
The Effect of Shortfall as a Risk Measure for Portfolios with Hedge Funds |
0 |
0 |
1 |
3 |
0 |
0 |
1 |
17 |
The information in systemic risk rankings |
0 |
0 |
1 |
23 |
0 |
1 |
5 |
94 |
The multi-state latent factor intensity model for credit rating transitions |
0 |
0 |
1 |
152 |
1 |
1 |
2 |
463 |
Time-Varying Parameters in Econometrics: The editor’s foreword |
0 |
1 |
1 |
1 |
0 |
1 |
3 |
3 |
Time-Varying Transition Probabilities for Markov Regime Switching Models |
0 |
0 |
1 |
13 |
0 |
1 |
4 |
48 |
Time-varying variance and skewness in realized volatility measures |
0 |
0 |
2 |
2 |
0 |
1 |
6 |
8 |
Unit Root Tests Based on M Estimators |
0 |
0 |
1 |
22 |
0 |
0 |
1 |
74 |
Washington meets Wall Street: A closer examination of the presidential cycle puzzle |
0 |
1 |
1 |
15 |
0 |
1 |
5 |
93 |
Total Journal Articles |
1 |
19 |
96 |
3,462 |
14 |
67 |
341 |
16,335 |