Joint parametric specification checking of conditional mean and volatility in time series models with martingale difference innovations
From MaRDI portal
Publication:5881427
DOI10.1080/10485252.2022.2143499OpenAlexW3176724415MaRDI QIDQ5881427
Mohamed Chaouch, Naâmane Laïb, Kilani Ghoudi
Publication date: 10 March 2023
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2107.00633
specification testsconditional variancemartingale transformconditional meancumulative residual process
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The Pricing of Options and Corporate Liabilities
- Joint and marginal specification tests for conditional mean and variance models
- Testing for multivariate volatility functions using minimum volume sets and inverse regression
- An updated review of goodness-of-fit tests for regression models
- Asymptotically distribution-free tests for the volatility function of a diffusion
- A simultaneous test for conditional mean and conditional variance functions in time series models with martingale difference innovations
- Tests for the equality of conditional variance functions in nonparametric regression
- Testing the functions defining a nonlinear autoregressive time series
- Weak convergence of non-stationary multivariate marked processes with applications to martingale testing
- An innovation approach to goodness-of-fit tests in \(R^ m\)
- Spectral based testing of the martingale hypothesis
- Asymptotic error distributions for the Euler method for stochastic differential equations
- Identification of nonlinear time series from first order cumulative characteristics
- Nonparametric model checks for regression
- A Kolmogorov-Smirnov type test for conditional heteroskedasticity in time series
- Asymptotic distribution-free tests for semiparametric regressions with dependent data
- Model checks for regression: an innovation process approach
- Nonparametric model checks for time series
- Tests of independence and randomness based on the empirical copula process
- Data-driven smooth tests for the martingale difference hypothesis
- Model checks of higher order time series
- Conditional variance model checking
- Temporal Aggregation of Garch Processes
- ASYMPTOTIC DISTRIBUTION-FREE DIAGNOSTIC TESTS FOR HETEROSKEDASTIC TIME SERIES MODELS
- Cramer-von mises-type tests with applications to tests of independence for multivariate extreme-value distributions
- ON THE CONDITIONAL HOMOSCEDASTICITY TEST IN AUTOREGRESSIVE MODEL WITH ARCH ERROR
- Non-Parametric Testing of Conditional Variance Functions in Time Series
- An improved Bonferroni procedure for multiple tests of significance
- Weak convergence of some marked empirical processes: Application to testing heteroscedasticity
- Nonparametric testing for correlation models with dependent data
- A New Test for the Parametric Form of the Variance Function in Non-Parametric Regression
- SIMULTANEOUS SPECIFICATION TESTING OF MEAN AND VARIANCE STRUCTURES IN NONLINEAR TIME SERIES REGRESSION
- An equilibrium characterization of the term structure
- Maximum Likelihood Estimation of Discretely Sampled Diffusions: A Closed-form Approximation Approach
- A fully nonparametric diagnostic test for homogeneity of variances
- Computing the distribution of quadratic forms in normal variables
- A consistent test for conditional symmetry in time series models
- A nonparametric test of serial independence for time series and residuals
This page was built for publication: Joint parametric specification checking of conditional mean and volatility in time series models with martingale difference innovations