波动性管理策略的现代化

IF 1.1 4区 经济学 Q3 BUSINESS, FINANCE
Junseung Bae, Ryan Poirier
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引用次数: 1

摘要

波动率管理策略的表现与波动率估计的准确性之间存在正相关关系-更准确的预测导致更高的夏普比率。行业标准的波动率管理策略允许波动率估计和执行之间有一整天的时间。换句话说,我们在t- 2收盘后估计波动性,在t- 1收盘时执行市场交易,并在t捕获净利润。这种全天滞后自然会降低预测准确性,可能导致次优夏普比率。作者提出了一个强大的框架来缩短滞后,通过在预测模型中加入更多的最新信息,有效地实现更准确的预测。其结果是更高的夏普比率、更高的效用和更低的波动性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modernizing Volatility-Managed Strategies
There is a positive relationship between the performance of volatility managed strategies and the accuracy of the volatility estimation—more-accurate forecasts result in higher Sharpe ratios. Industry-standard volatility managed strategies allow a full day between volatility estimation and execution. In other words, we estimate volatility after the close of t − 2, execute the trade market-on-close t − 1, and capture net profits on t. This full-day lag naturally degrades the forecast accuracy, potentially resulting in suboptimal Sharpe ratios. The authors propose a robust framework that shortens the lag, effectively achieving a more accurate forecast by incorporating more-current information in the prediction model. The result is higher Sharpe ratios, higher utility, and lower volatility of volatility.
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来源期刊
Journal of Portfolio Management
Journal of Portfolio Management Economics, Econometrics and Finance-Finance
CiteScore
2.20
自引率
28.60%
发文量
113
期刊介绍: Founded by Peter Bernstein in 1974, The Journal of Portfolio Management (JPM) is the definitive source of thought-provoking analysis and practical techniques in institutional investing. It offers cutting-edge research on asset allocation, performance measurement, market trends, risk management, portfolio optimization, and more. Each quarterly issue of JPM features articles by the most renowned researchers and practitioners—including Nobel laureates—whose works define modern portfolio theory.
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