Finite sample inference in multivariate instrumental regressions with an application to Catastrophe bonds*

IF 0.8 4区 经济学 Q3 ECONOMICS Econometric Reviews Pub Date : 2022-09-28 DOI:10.1080/07474938.2022.2114625
Marie-Claude Beaulieu, Lynda Khalaf, Maral Kichian, Olena Melin
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引用次数: 1

Abstract

Abstract We propose exact exogeneity tests and weak-instruments-robust tests on factor loadings for a system of regressions with possibly non-Gaussian disturbances. Our methodology is valid in finite samples and accounts for common cross-sectional factors. Analytical invariance results are derived, with companion simulation studies. Finally, a total-effect parameter is introduced that embeds the unobservable endogeneity factor. Proposed tests are applied to assess whether Catastrophe bond mutual funds co-move with financial markets. Significant risk premiums are detected globally and over time, although they are less pervasive from a domestic currency perspective. Findings underscore the importance of instrumenting and assessing direct and total effects.
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多元工具回归的有限样本推理及其在巨灾债券中的应用*
摘要:我们提出了一个可能具有非高斯扰动的回归系统的因子负荷的精确外生性检验和弱仪器鲁棒性检验。我们的方法在有限的样本中是有效的,并且考虑了常见的横截面因素。推导了解析不变性结果,并进行了仿真研究。最后,引入了嵌入不可观测内生性因子的全效应参数。拟议的测试被用于评估巨灾债券共同基金是否与金融市场同步变动。在全球范围内,随着时间的推移,可以发现显著的风险溢价,尽管从国内货币的角度来看,这种溢价不那么普遍。调查结果强调了测量和评估直接和总影响的重要性。
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来源期刊
Econometric Reviews
Econometric Reviews 管理科学-数学跨学科应用
CiteScore
1.70
自引率
0.00%
发文量
27
审稿时长
>12 weeks
期刊介绍: Econometric Reviews is widely regarded as one of the top 5 core journals in econometrics. It probes the limits of econometric knowledge, featuring regular, state-of-the-art single blind refereed articles and book reviews. ER has been consistently the leader and innovator in its acclaimed retrospective and critical surveys and interchanges on current or developing topics. Special issues of the journal are developed by a world-renowned editorial board. These bring together leading experts from econometrics and beyond. Reviews of books and software are also within the scope of the journal. Its content is expressly intended to reach beyond econometrics and advanced empirical economics, to statistics and other social sciences.
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