利马证券交易所指数化股票的投资组合管理模型优化

Q2 Arts and Humanities
Nelson Alejandro Puyen Farias, Juan Manuel Raunelli Sander
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引用次数: 0

摘要

拉美金融市场提供的投资机会极少,迫使投资基金经理在全球范围内开展业务。我们的目标是利用利马证券交易所的指数化股票(从 2014 年 1 月 2 日到 2022 年 4 月 13 日的 2082 天中有 27 只股票),运用确定投资可能性前沿的投资组合的马科维茨模型,优化投资组合管理模型。夏普模型(CAPM)计算的是考虑到系统风险的预期收益,夏普指数衡量的是具有总风险的股票收益。最后,布莱克-利特曼(BL)模型根据专家意见调整事后预期收益。通过比较 BL/CAPM 比率,可以得到一个提高预期收益率可预测性的指标,而且据观察,该指标的效率高于后续预期收益率的夏普指数(夏普 BL)。因此,优化投资组合管理模式可提高利马证券交易所指数化股票预期收益率可预测性的假设被接受。 收到:2023 年 7 月 23 日 / 已接受:2024 年 1 月 10 日 / 发表:2024 年 3 月 5 日
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Portfolio Management Models with Indexed Stocks on the Lima Stock Exchange
Investment fund managers are limited by the fact that Latin American financial markets offer very few investment possibilities, which forces them to carry out operations at a global level. The objective is to optimize the portfolio management models with indexed stocks in the Lima Stock Exchange (27 stocks considering 2082 days from January 02, 2014 to April 13, 2022) applying the Markowitz models that determine the portfolios of the frontier of investment possibilities. The Sharpe model (CAPM), which calculates the expected return considering systemic risks, and the Sharpe index, which measures the stock return with total risk. Finally, the Black-Litterman (BL) model adjusts the ex-post expected return with expert opinion. By comparing the BL/CAPM ratio, an index is obtained that improves the predictability of expected returns and it is observed that the efficiency of this indicator is greater than the Sharpe index of subsequent expected returns (Sharpe BL). Therefore, the hypothesis that optimizing the portfolio management models improves the predictability of the expected returns of the indexed shares of the Lima Stock Exchange is accepted.   Received: 23 July 2023 / Accepted: 10 January 2024 / Published: 5 March 2024
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来源期刊
Academic Journal of Interdisciplinary Studies
Academic Journal of Interdisciplinary Studies Social Sciences-Social Sciences (all)
CiteScore
1.50
自引率
0.00%
发文量
171
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