The Empirical Tests on Risk in Chinese Futures Market

The Research on Market Risks has been developed abroad in all sorts of markets since 1960＇s. It＇s necessary to comprehend and consider opportunity and challenge in Chinese futures market from the viewpoint of risk management. With different ARCH models, we find heteroscedasticity does exist in Chinese market, so we adopt the Variance Ratio. We test empirically the prices of Chinese futures market from 1993 to 2002. The results show that only futures price of copper meets the random walk, thereby confirming the weak form market efficiency. It also means that the function of price discovery is weak and the risk of futures market is poor. Finally, we give much constructive policy advice.

EMPIRICAL BAYES TEST PROBLEMS OF VARIANCE COMPONENTS IN RANDOM EFFECTS MODEL

Bayes decision rule of variance components for one-way random effects model is derived and empirical Bayes (EB) decision rules are constructed by kernel estimation method. Under suitable conditions, it is shown that the proposed EB decision rules are asymptotically optimal with convergence rates near O(n-1/2). Finally, an example concerning the main result is given.

One-sided empirical Bayes test for location parameter in Gamma distribution

In this paper, we devote to constructing the one-sided empirical Bayes(EB) test for the location parameter in the Gamma distribution by nonparametric method. Under some mild conditions, we prove that the EB test is asymptotically optimal with the rate of the order O(n^(-δs/(2s+1))), where 1/2 ≤ δ < 1 and s > 1 is a given natural number. An example is also given to illustrate that the conditions of the main theorems are easily satisfied.

Empirical Bayes Test for Two-parameter Exponential Distribution under Type-Ⅱ Censored Samples

The empirical Bayes test problem is considered for scale parameter of twoparameter exponential distribution under type-II censored data.By using wavelets estimation method,the EB test function is constructed,of which the asymptotic optimality and convergence rates are obtained.Finally,an example concerning the main result is given.

Convergence Rate of Empirical Bayes Test for the Parameter of the Truncated-type Distribution Families

In this paper, we construct the empirical B ay es test (EBT) for the parameter of the truncated-type distribution families. It is found that the proposed test is asymptotically optimal. The convergence rate of the EBT is given.

Driving Force For China's Third Economic Growth Transformation

This paper proposes that due to its reduced level of economic growth,China must identify a replacement driver for its economic development.By conducting empirical tests of China's two rounds of economic growth driving force transformation in its more than30 years of reform and opening-up,this paper has revealed the internal mechanism of the reform and growth cycles and the transformations,and demonstrated that China's current economic slowdown is not the inadequacy of policies and measures for the expansion of domestic consumption but the necessity to replace the growth engine to drive the country's third round of growth driving force transformation.Lastly,this paper has identified the approach and measures to encourage the transformation.

Empirical Likelihood Test for Regression Coefficients in High Dimensional Partially Linear Models

This paper considers tests for regression coefficients in high dimensional partially linear Models.The authors first use the B-spline method to estimate the unknown smooth function so that it could be linearly expressed.Then,the authors propose an empirical likelihood method to test regression coefficients.The authors derive the asymptotic chi-squared distribution with two degrees of freedom of the proposed test statistics under the null hypothesis.In addition,the method is extended to test with nuisance parameters.Simulations show that the proposed method have a good performance in control of type-I error rate and power.The proposed method is also employed to analyze a data of Skin Cutaneous Melanoma(SKCM).

Two-Sided Empirical Bayes Test for the Exponential Family with Contaminated Data

In this study, the two-sided Empirical Bayes test （EBT） rules for the parameter of continuous one-parameter exponential family with contaminated data （errors in variables） are constructed by a deconvolution kernel method. The asymptotically optimal uniformly over a class of prior distributions and uniform rates of convergence, which depends on two types of the error distribu- tions for the proposed EBT rules, are obtained under suitable con- ditions. Finally, an example about the main results of this paper is given.

Empirical likelihood test for the equality of several high-dimensional covariance mat rices

The testing covariance equality is of importance in many areas of statistical analysis,such as microarray analysis and quality control.Conventional tests for the finite-dimensional covariance do not apply to high-dimensional data in general,and tests for the high-dimensional covariance in the literature usually depend on some special structure of the matrix and whether the dimension diverges.In this paper,we propose a jackknife empirical likelihood method to test the equality of covariance matrices.The asymptotic distribution of the new test is regardless of the divergent or fixed dimension.Simulation studies show that the new test has a very stable size with respect to the dimension and it is also more powerful than the test proposed by Schott(2007)and studied by Srivastava and Yanagihara(2010).Furthermore,we illustrate the method using a breast cancer dataset.

刻度指数族参数的经验Bayes检验问题: NA样本情形

本文利用同分布负相协（ＮＡ）样本情形概率密度函数的核估计构造了刻度指数族参数的经验Ｂａｙｅｓ（ＥＢ）检验函数，并获得了它的渐近最优（ａ．ｏ．）性．在适当的条件下证明了所提出的ＥＢ检验函数收敛速度可任意接近Ｏ（ｎ－）最后给出了一个有关本文主要结果的例子．