A financial modeling approach to industry exchange-traded funds selection

IF 2.1 2区 经济学 Q2 BUSINESS, FINANCE
Thomas Conlon , John Cotter , Illia Kovalenko , Thierry Post
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引用次数: 0

Abstract

This study uses a comprehensive approach to optimize the portfolio allocation to equity sector Exchange Traded Funds. We combine data on the market prices of options written on the funds, the Heston stochastic volatility model, risk premium transformation, copulas, and optimization with stochastic dominance constraints. This comprehensive strategy provides significant performance out-of-sample gains relative to the passive and active alternative strategies, both before and after accounting for risk and transaction costs. Our findings point at market inefficiencies that can be exploited using sector funds, past public data, and blending multiple methods.

行业交易所交易基金选择的金融建模方法
本研究采用一种综合的方法来优化股票类交易所交易基金的投资组合配置。我们将基金上的期权市场价格数据、赫斯顿随机波动率模型、风险溢价转换、copula和随机优势约束下的优化结合起来。在考虑风险和交易成本之前和之后,与被动和主动替代策略相比,这种综合策略提供了显著的样本外性能收益。我们的研究结果指出,可以利用部门资金、过去的公共数据和混合多种方法来利用市场的低效率。
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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来源期刊
CiteScore
3.40
自引率
3.80%
发文量
59
期刊介绍: The Journal of Empirical Finance is a financial economics journal whose aim is to publish high quality articles in empirical finance. Empirical finance is interpreted broadly to include any type of empirical work in financial economics, financial econometrics, and also theoretical work with clear empirical implications, even when there is no empirical analysis. The Journal welcomes articles in all fields of finance, such as asset pricing, corporate finance, financial econometrics, banking, international finance, microstructure, behavioural finance, etc. The Editorial Team is willing to take risks on innovative research, controversial papers, and unusual approaches. We are also particularly interested in work produced by young scholars. The composition of the editorial board reflects such goals.
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