Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series
Fuente:
arXiv
Saved in:
| Main Authors: | Hoga, Yannick, Schulz, Christian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Expected Shortfall LASSO
by: Barendse, Sander
Published: (2023)
by: Barendse, Sander
Published: (2023)
Dynamic CoVaR Modeling and Estimation
by: Dimitriadis, Timo, et al.
Published: (2022)
by: Dimitriadis, Timo, et al.
Published: (2022)
A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions
by: Reichold, Karsten, et al.
Published: (2022)
by: Reichold, Karsten, et al.
Published: (2022)
Local Identification in Instrumental Variable Multivariate Quantile Regression Models
by: Kono, Haruki
Published: (2024)
by: Kono, Haruki
Published: (2024)
Persistence-Robust Break Detection in Predictive CoVaR Regressions
by: Hoga, Yannick
Published: (2024)
by: Hoga, Yannick
Published: (2024)
Extremal Quantiles under Two-Way Clustering
by: Chiang, Harold D., et al.
Published: (2024)
by: Chiang, Harold D., et al.
Published: (2024)
Regressions under Adverse Conditions
by: Dimitriadis, Timo, et al.
Published: (2023)
by: Dimitriadis, Timo, et al.
Published: (2023)
Expected Kullback-Leibler-based characterizations of score-driven updates
by: de Punder, Ramon, et al.
Published: (2024)
by: de Punder, Ramon, et al.
Published: (2024)
Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)
by: Breunig, Christoph, et al.
Published: (2025)
Joint Quantile Shrinkage: A State-Space Approach toward Non-Crossing Bayesian Quantile Models
by: Kohns, David, et al.
Published: (2025)
by: Kohns, David, et al.
Published: (2025)
Factor Models of Matrix-Valued Time Series: Nonstationarity and Cointegration
by: Li, Degui, et al.
Published: (2025)
by: Li, Degui, et al.
Published: (2025)
Distributional Instruments: Identification and Estimation with Quantile Least Squares
by: Cherodian, Rowan, et al.
Published: (2026)
by: Cherodian, Rowan, et al.
Published: (2026)
Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)
by: Reichel, Felix
Published: (2025)
Convolution Mode Regression
by: Finn, Eduardo Schirmer, et al.
Published: (2024)
by: Finn, Eduardo Schirmer, et al.
Published: (2024)
Normal Approximation in Large Network Models
by: Leung, Michael P., et al.
Published: (2019)
by: Leung, Michael P., et al.
Published: (2019)
Encompassing Tests for Nonparametric Regressions
by: Lapenta, Elia, et al.
Published: (2022)
by: Lapenta, Elia, et al.
Published: (2022)
Inference for Rank-Rank Regressions
by: Chetverikov, Denis, et al.
Published: (2023)
by: Chetverikov, Denis, et al.
Published: (2023)
Robust Cauchy-Based Methods for Predictive Regressions
by: Ibragimov, Rustam, et al.
Published: (2025)
by: Ibragimov, Rustam, et al.
Published: (2025)
Modewise Additive Factor Model for Matrix Time Series
by: Chen, Elynn, et al.
Published: (2025)
by: Chen, Elynn, et al.
Published: (2025)
Refined Cluster Robust Inference
by: Gafarov, Bulat, et al.
Published: (2026)
by: Gafarov, Bulat, et al.
Published: (2026)
A Note on the Finite Sample Bias in Time Series Cross-Validation
by: Lusompa, Amaze
Published: (2025)
by: Lusompa, Amaze
Published: (2025)
Power Bounds and Efficiency Loss for Asymptotically Optimal Tests in IV Regression
by: Moreira, Marcelo J., et al.
Published: (2026)
by: Moreira, Marcelo J., et al.
Published: (2026)
Inference for Linear Systems with Unknown Coefficients
by: Bai, Yuehao, et al.
Published: (2026)
by: Bai, Yuehao, et al.
Published: (2026)
On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)
by: Fang, Qin, et al.
Published: (2025)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Universal Inference for Incomplete Discrete Choice Models
by: Kaido, Hiroaki, et al.
Published: (2025)
by: Kaido, Hiroaki, et al.
Published: (2025)
Inference in Experiments with Matched Pairs and Imperfect Compliance
by: Bai, Yuehao, et al.
Published: (2023)
by: Bai, Yuehao, et al.
Published: (2023)
Inference on effect size after multiple hypothesis testing
by: Dzemski, Andreas, et al.
Published: (2025)
by: Dzemski, Andreas, et al.
Published: (2025)
Possibilistic Instrumental Variable Regression
by: Steiner, Gregor, et al.
Published: (2025)
by: Steiner, Gregor, et al.
Published: (2025)
Causal Interpretation of Regressions With Ranks
by: Lei, Lihua
Published: (2024)
by: Lei, Lihua
Published: (2024)
Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
Inference in partially identified moment models via regularized optimal transport
by: Franguridi, Grigory, et al.
Published: (2025)
by: Franguridi, Grigory, et al.
Published: (2025)
Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference
by: Casini, Alessandro, et al.
Published: (2021)
by: Casini, Alessandro, et al.
Published: (2021)
Regression Model Selection Under General Conditions
by: Lusompa, Amaze
Published: (2025)
by: Lusompa, Amaze
Published: (2025)
Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models
by: Casini, Alessandro
Published: (2021)
by: Casini, Alessandro
Published: (2021)
Inference for parameters identified by conditional moment restrictions using a generalized Bierens maximum statistic
by: Chen, Xiaohong, et al.
Published: (2020)
by: Chen, Xiaohong, et al.
Published: (2020)
Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm
by: Barigozzi, Matteo, et al.
Published: (2019)
by: Barigozzi, Matteo, et al.
Published: (2019)
Self-normalized tests for multistep conditional predictive ability
by: Chen, Qitong, et al.
Published: (2026)
by: Chen, Qitong, et al.
Published: (2026)
Honest Inference for Stochastic Optimization
by: Takatsu, Kenta, et al.
Published: (2025)
by: Takatsu, Kenta, et al.
Published: (2025)
Inference on Consensus Ranking of Distributions
by: Kaplan, David M.
Published: (2024)
by: Kaplan, David M.
Published: (2024)
Similar Items
-
Expected Shortfall LASSO
by: Barendse, Sander
Published: (2023) -
Dynamic CoVaR Modeling and Estimation
by: Dimitriadis, Timo, et al.
Published: (2022) -
A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions
by: Reichold, Karsten, et al.
Published: (2022) -
Local Identification in Instrumental Variable Multivariate Quantile Regression Models
by: Kono, Haruki
Published: (2024) -
Persistence-Robust Break Detection in Predictive CoVaR Regressions
by: Hoga, Yannick
Published: (2024)