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银行基础的稳健投资组合优化:一种具有强制约束的资产配置的条件风险价值方法。

Robust portfolio optimization for banking foundations: a CVaR approach for asset allocation with mandatory constraints.

作者信息

Arcuri Maria Cristina, Gandolfi Gino, Laurini Fabrizio

机构信息

Department of Economics and Management, University of Parma, Via J.F. Kennedy 6, 43125 Parma, Italy.

Knowledge Group Banking and Insurance, SDA Bocconi School of Management, Milan, Italy.

出版信息

Cent Eur J Oper Res. 2023;31(2):557-581. doi: 10.1007/s10100-022-00821-5. Epub 2022 Oct 28.

Abstract

This paper focuses on an innovative asset allocation strategy for risk averse investors who operate on very long-time horizons, such as endowments and the Italian foundations of banking origin (FBOs). FBOs play a pivotal role in supporting economic, financial and sustainable growth in the long term. In the search for a model which optimizes FBO portfolio choices in the light of regulatory constraints on their sizeable investable portfolio, we highlight the risk-adjusted performances obtained using a robust conditional VaR (R-CVaR) approach-assuming different risk profiles-which corrects some of the Markowitz approach pitfalls and accounts for tail risk. We compare the two models using a buy and hold strategy: the R-CVaR delivers better returns than a Markowitz portfolio, even when those performances are measured with a mean-variance metric.

摘要

本文聚焦于一种创新型资产配置策略,该策略面向那些投资期限极长的风险厌恶型投资者,比如捐赠基金以及意大利银行业起源的基金会(FBOs)。FBOs在长期支持经济、金融和可持续增长方面发挥着关键作用。在寻求一种根据对其可观的可投资组合的监管限制来优化FBO投资组合选择的模型时,我们强调了使用稳健条件风险价值(R-CVaR)方法(假设不同风险状况)所获得的风险调整后表现,该方法纠正了一些马科维茨方法的缺陷并考虑了尾部风险。我们使用买入并持有策略比较这两种模型:即使使用均值 - 方差指标来衡量这些表现,R-CVaR也能比马科维茨投资组合带来更好的回报。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e39a/9614752/992202d300d4/10100_2022_821_Fig1_HTML.jpg

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