The paper aims to study the market efficiency, unbiasedness among Guar gum futures contracts traded at National Commodity & Derivatives Exchange Ltd (NCDEX). The study has tested the market efficiency and unbiasedness with different maturities using cointegration analysis, and short-term market...

We examine a kernel regression smoother for time series that takes account of the error correlation structure as proposed by Xiao et al. (2008). We show that this method continues to improve estimation in the case where the regressor is a unit root or near unit root process

This paper examines the functioning of a community driven development (CDD) project that unlike most CDDs was set in a homogeneous community, consisted of simple tasks, had a year-long pre-intervention planning period, and maintained records of its decisions. To identify the impacts of the...

This paper analyzes the determinants of regional economic growth in the European Union. The nonparametric approach adopted allows us not only to uncover their relevance but also to determine whether or not they exert a linear in uence. We obtain evidence of a nonlinear relationship between...

This paper proposes the use of a double correlation coefficient as a nonparametric measure of phase-dependence in time-varying correlations. An asymptotically Gaussian test statistic for the null hypothesis of no phase-dependence is derived from the proposed measure. Finite-sample distributions,...

We propose a new methodology based on Fourier analysis to estimate the fourth power of the volatility function (spot quarticity) and, as a byproduct, the integrated function. We prove the consistency of the proposed estimator of the integrated quarticity. Further, we analyse its efficiency in...

Availability of high frequency data has improved the capability of computing volatility in an efficient way. Nevertheless, measuring volatility/covariance from the observation of the asset price is challenging for two main reasons: observed asset prices are generally affected by noise...

We analyze the properties of different estimators of multivariate volatilities in the presence of microstructure noise, with particular focus on the Fourier estimator. This estimator is consistent in the case of asynchronous data and robust to microstructure effects; further we prove the...

This paper examines regression-adjusted estimation and inference of unconditional quantile treatment effects (QTEs) under covariate-adaptive randomizations (CARs). Datasets from field experiments usually contain extra baseline covariates in addition to the strata indicators. We propose to...

In this study, we focus on a generalized nonparametric scalar-on-function regression model for heterogeneously distributed and strongly mixing data. We provide almost complete convergence rates for the local linear estimator of the regression function. We show that, under our conditions, the...