Two New Tests for the Relationships of Stochastic Dominance

Author:

Zhuang Weiwei1,He Haowei2,Qiu Guoxin3

Affiliation:

1. International Institute of Finance, School of Management, University of Science and Technology of China, Hefei 230026, China

2. School of Management, University of Science and Technology of China, Hefei 230026, China

3. School of Business, Xinhua University of Anhui, Hefei 230088, China

Abstract

To test the relationships of stochastic dominance, this paper firstly proposes two new consistent K-S-type statistics based on a quantile rule. Then, we consider their asymptotic properties. We introduce the bootstrap method to calculate the p-values of our proposed tests and use the Monte Carlo method to compare the power of our proposed test with the DD test and the BD test. The simulations showed that our test performed better than these two tests. Finally, we applied our proposed tests to compare the visibility of four provinces in China and compared the effects with the DD test and BD test. The empirical results showed that the conclusions of our proposed method are more-consistent with the dominance relationships of the four provinces. For a given significance level, the results of our proposed test demonstrate that the visibility of Jiangxi province is the best. The next one is the visibility of Hubei province, which outperforms the visibility of Anhui province. The visibility of Hunan province is the poorest.

Funder

National Nature Science Foundation of China

Excellent Youth Foundation

Anhui Xinhua University

Publisher

MDPI AG

Reference28 articles.

1. Lehmann, E.L. (1986). Testing Statistical Hypotheses, J. Wiley and Sons. [2nd ed.].

2. Empirical tests for stochastic dominance efficiency;Post;J. Financ.,2003

3. Zhu, Z. (2017). Nth Order Stochastic Dominance Test with Applications. [Ph.D. Thesis, Northeast Normal University].

4. McFadden, D. (1989). Studies in the Economics of Uncertainty, Springer.

5. Consistent tests for stochastic dominance;Barrett;Econometrica,2003

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