Testing for Monotonicity in Expected Asset Returns

Joseph P. Romano, Michael Wolf
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引用次数: 19

Abstract

Many postulated relations in finance imply that expected asset returns strictly increase in an underlying characteristic. To examine the validity of such a claim, one needs to take the entire range of the characteristic into account, as is done in the recent proposal of Patton and Timmermann (2010). But their test is only a test for the direction of monotonicity, since it requires the relation to be monotonic from the outset: either weakly decreasing under the null or strictly increasing under the alternative. When the relation is non-monotonic or weakly increasing, the test can break down and falsely ‘establish’ a strictly increasing relation with high probability. We offer some alternative tests that do not share this problem. The behavior of the various tests is illustrated via Monte Carlo studies. We also present empirical applications to real data.
资产预期收益单调性的检验
金融中许多假定的关系暗示,预期资产收益在一个潜在特征中严格增加。为了检验这种说法的有效性,我们需要考虑到特征的整个范围,正如Patton和Timmermann(2010)最近提出的那样。但他们的检验仅仅是单调性方向的检验,因为它要求关系从一开始就是单调的:要么在零项下弱递减,要么在另一项下严格递增。当关系是非单调的或弱增加时,测试可能会崩溃,并错误地“建立”高概率的严格增加关系。我们提供了一些不存在这个问题的替代测试。通过蒙特卡罗研究说明了各种试验的行为。我们还提出了实际数据的经验应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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