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Determinants of the cat bond spread at issuance

机译:巨灾债券发行时利差的决定因素

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摘要

The contribution at hand is a short summary of a working paper presented by Alexander Braun at the annual meeting of the German Insurance Science Association (DVfVW) in Hannover in March 2012. This working paper contains empirical evidence from the primary market for cat bonds, which provides new insights concerning the prevailing pricing practice of these instruments. For this purpose, transactional information from a multitude of sources has been collected and cross-checked in order to compile a data set comprising virtually all cat bond tranches that were issued between 1997 and 2011. In order to identify the main determinants of the cat bond spread at issuance, a series of OLS regressions with robust standard errors is run. The respective results indicate that, apart from the expected loss, the covered territory, the sponsor, the reinsurance cycle, and the spreads on comparably rated corporate bonds exhibit a significant impact. Based on these findings, a multifactor pricing model for cat bonds in the primary market is then proposed. This model is applicable across all considered territories and perils, exhibits a stable fit with regard to different subsamples used for calibration, and achieves a higher in-sample and out-of-sample accuracy than several competing specifications that have been introduced in earlier work.
机译:本文的摘录是亚历山大·布劳恩(Alexander Braun)在2012年3月在汉诺威举行的德国保险科学协会(DVfVW)年度会议上提交的工作论文的简短摘要。该工作论文包含来自猫债一级市场的经验证据,提供了有关这些工具的现行定价惯例的新见解。为此,已经收集并交叉核对了来自多种来源的交易信息,以汇编出一个数据集,其中包括1997年至2011年之间发行的几乎所有猫债券发行。为确定猫债券的主要决定因素在发行时进行散布,将运行一系列具有可靠标准误差的OLS回归。各自的结果表明,除预期损失外,承保范围,保荐人,再保险周期以及具有相对评级的公司债券的利差也产生了重大影响。基于这些发现,然后提出了一级市场中巨灾债券的多因素定价模型。该模型适用于所有考虑的地区和危险,对于用于校准的不同子样本表现出稳定的拟合度,并且比早期工作中引入的几种竞争规范具有更高的样本内和样本外精度。

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