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日期精度:到日 0 篇 · 到月 5006 篇 · 到年 2 篇
Exact tests for contemporaneous correlation of disturbances in seemingly unrelated regressions
似不相关回归中扰动同期相关性的精确检验
This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not. We apply the technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] to obtain exact tests based on standard LR and LM zero correlation tests. We also suggest a MC quasi-LR (QLR) test based on feasible generalized least squares (FGLS). We show that the…
Stationarity and the existence of moments of a family of GARCH processes
Estimating multi-way error components models with unbalanced data structures
The surprise element: jumps in interest rates
Nonparametric frontier estimation: a robust approach
非参数前沿估计:一种稳健方法
A large amount of literature has been developed on how to specify and to estimate production frontiers or cost functions. Two different approaches have been mainly developed: the deterministic frontier model which relies on the assumption that all the observations are on a unique side of the frontier, and the stochastic frontier models where observational errors or random noise allows some observations to be outside of the frontier. In a deterministic frontier framework,…
Entropy densities with an application to autoregressive conditional skewness and kurtosis
Stationarity of stable power-GARCH processes
Recursive and rolling regression-based tests of the seasonal unit root hypothesis
Goodness-of-fit tests for kernel regression with an application to option implied volatilities
A simple cointegrating rank test without vector autoregression
无需向量自回归的简易协整秩检验
This paper proposes a fully nonparametric test for cointegrating rank which does not require estimation of a vector autoregressive model. The test exploits the fact that the degeneracy in the moment matrix of the variables with mixed integration order corresponds to the notion of cointegration. With an appropriate standardization, the test statistics are shown to have a nuisance parameter free limiting distribution and to be consistent under reasonable conditions. Monte…
A new semiparametric spatial model for panel time series
Encompassing tests when no model is encompassing
Semiparametric fractional cointegration analysis
Yield curve estimation by kernel smoothing methods
核平滑方法下的收益率曲线估计
We introduce a new method for the estimation of discount functions, yield curves and forward curves from government issued coupon bonds. Our approach is nonparametric and does not assume a particular functional form for the discount function although we do show how to impose various restrictions in the estimation. Our method is based on kernel smoothing and is defined as the minimum of some localized population moment condition. The solution to the sample problem is not…
Forecasting multifractal volatility
Long memory and regime switching
长记忆与状态转换
The theoretical and empirical econometric literatures on long memory and regime switching have evolved largely independently, as the phenomena appear distinct. We argue, in contrast, that they are intimately related, and we substantiate our claim in several environments, including a simple mixture model, Engle and Lee's (1999) stochastic permanent break model, and Hamilton's (1989) Markov switching model. In particular, we show analytically that stochastic regime switching…
Tests of equal forecast accuracy and encompassing for nested models
嵌套模型的预测精度相等与预测涵盖检验
We examine the asymptotic and finite-sample properties of tests for equal forecast accuracy and encompassing applied to 1-step ahead forecasts from nested parametric models. We first derive the asymptotic distributions of two standard tests and one new test of encompassing. Tables of asymptotically valid critical values are provided. Monte Carlo methods are then used to evaluate the size and power of the tests of equal forecast accuracy and encompassing. The simulations…
Forecasting S&P 100 volatility: the incremental information content of implied volatilities and high-frequency index returns
标普 100 波动率预测:隐含波动率与高频收益的增量信息
The information content of implied volatilities and intraday returns is compared, in the context of forecasting index volatility over horizons from 1 to 20 days. Forecasts of two measures of realised volatility are obtained after estimating ARCH models using daily index returns, daily observations of the VIX index of implied volatility and sums of squares of 5-min index returns. The in-sample estimates show that nearly all relevant information is provided by the VIX index…