New robust inference for predictive regressions
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Publication:6667297
DOI10.1017/s0266466623000117MaRDI QIDQ6667297
Rustam Ibragimov, Jihyun Kim, Anton Skrobotov
Publication date: 20 January 2025
Published in: Econometric Theory (Search for Journal in Brave)
Cites Work
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- Limit theory for moderate deviations from a unit root
- Nonstationary nonlinear heteroskedasticity in regression
- Adaptive estimation of autoregressive models with time-varying variances
- Asymptotics for recurrent diffusions with application to high frequency regression
- Testing for unit roots in time series models with non-stationary volatility
- Nonparametric regression for locally stationary time series
- Bayesian analysis of stochastic volatility models with fat-tails and correlated errors
- Exponential inequalities for self-normalized martingales with applications
- Extremal theory for stochastic processes
- Weak limit theorems for stochastic integrals and stochastic differential equations
- Asymptotics for linear processes
- Extremal probabilistic problems and Hotelling's \(T^ 2\) test under a symmetry condition
- Strong convergence of sums of \(\alpha \)-mixing random variables with applications to density estimation
- On extremal distributions and sharp \(L_p\)-bounds for sums of multilinear forms
- Nonlinear instrumental variable estimation of an autoregression.
- The sample autocorrelations of heavy-tailed processes with applications to ARCH
- A general class of exponential inequalities for martingales and ratios
- Limit theory for the sample autocorrelations and extremes of a GARCH \((1,1)\) process.
- Long memory processes and fractional integration in econometrics
- Testing stationarity under a permanent variance shift
- Testing a large set of zero restrictions in regression models, with an application to mixed frequency Granger causality
- Volatility regressions with fat tails
- Nonlinear regressions with nonstationary time series
- Heavy-tailed distributions and robustness in economics and finance
- Uniform convergence rates for a class of martingales with application in non-linear cointegrating regression
- t-Statistic Based Correlation and Heterogeneity Robust Inference
- Improved Eaton Bounds for Linear Combinations of Bounded Radom Variables, With Statistical Applications
- MIXING PROPERTIES OF A GENERAL CLASS OF GARCH(1,1) MODELS WITHOUT MOMENT ASSUMPTIONS ON THE OBSERVED PROCESS
- An Inequality of Optimal Order for the Tail Probabilities of the T Statistic Under Symmetry
- REGRESSION ASYMPTOTICS USING MARTINGALE CONVERGENCE METHODS
- Towards a unified asymptotic theory for autoregression
- ASYMPTOTICS FOR GENERAL FRACTIONALLY INTEGRATED PROCESSES WITH APPLICATIONS TO UNIT ROOT TESTS
- CAUCHY ESTIMATORS FOR AUTOREGRESSIVE PROCESSES WITH APPLICATIONS TO UNIT ROOT TESTS AND CONFIDENCE INTERVALS
- Empirical properties of asset returns: stylized facts and statistical issues
- Time Series Regression with a Unit Root
- MIXING AND MOMENT PROPERTIES OF VARIOUS GARCH AND STOCHASTIC VOLATILITY MODELS
- Regression with Nonstationary Volatility
- ESTIMATING THE PERSISTENCE AND THE AUTOCORRELATION FUNCTION OF A TIME SERIES THAT IS MEASURED WITH ERROR
- BIAS REDUCTION AND LIKELIHOOD-BASED ALMOST EXACTLY SIZED HYPOTHESIS TESTING IN PREDICTIVE REGRESSIONS USING THE RESTRICTED LIKELIHOOD
- HETEROSKEDASTIC TIME SERIES WITH A UNIT ROOT
- UNIFORM CONVERGENCE RATES OF KERNEL ESTIMATORS WITH HETEROGENEOUS DEPENDENT DATA
- Student's t-Test Under Symmetry Conditions
- "Infinite Variance" and Research Strategy in Time Series Analysis
- Testing explosive bubbles with time-varying volatility
- Convergence of stochastic processes
- An invariant sign test for random walks based on recursive median adjustment
- A reexamination of stock return predictability
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