资产管理包括现金,行现收益率和风险预测

Cetin-Behzet Cengiz, R. V. Nitzsch
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摘要

在本文中,我们分析了决定投资组合优化成功的关键因素,目的是为投资者获得尽可能好的结果。预期收益的替代预测以及协方差作为不同频率内的输入数据。我们对业绩进行了事后评估,基准是买入并持有策略。我们的研究结果具有重要的资产管理意义:(i)积极的资产管理导致平均每年2.79%的回报增长。在短期预测和投资期限方面,面向时间序列的方法占主导地位;在长期预测和投资期限方面,基本方法占主导地位。(iii)协方差矩阵的预测质量决定了显著的多样化效应,平均每年为1.29%。从长期的角度来看,相对于交易费用而言,结果仍然强劲。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asset Management mit barwert- sowie zeitreihenorientierten Rendite- und Risikoprognosen
In this article we analyze the critical factors deciding on the success of portfolio optimization with the aim of obtaining best possible results for investors. Alternative prognoses of expected returns as well as co-variances serve as input data within diverse frequencies. We subject to an ex-post evaluation the performance, the benchmark of which is given by a buy-and-hold strategy. Our results have important asset management implications: (i) Active asset management results in increases in returns of an average 2.79% per annum. (ii) Time series-oriented approaches are dominant in the case of short-term prognoses and investment horizons, fundamental approaches are dominant in the case of long-term ones. (iii) The prognosticating quality of the covariance matrix decides on significant diversification effects to the tune of an average 1.29% per annum. (iv) The results remain robust against transaction costs in the case of long-term horizons.
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