Back to Basis: A Universal Return Predictor Across Asset Classes

Marat Molyboga
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Abstract

This paper shows analytically that the basis between spot and futures contracts contains information about future returns of securities across the asset classes of commodities, equity indices, fixed income and foreign exchange. The bases in commodities are positively correlated with a leading indicator of the business cycle whereas the bases in the financial assets are negatively related to the short-term rate. The return predictability of the basis can be captured with a simple multi-asset long-short strategy which produces an out-of-sample Sharpe ratio of 0.5 and an alpha of 2.5%-4.5% per annum with respect to commonly used asset pricing models. Specifically, the analysis includes five Fama-French Factors, a bond index and futures risk premia of multi-asset momentum, value, time-series momentum, and four asset-specific carry factors. The strategy performance is counter-cyclical and robust to transaction costs.
回归基础:跨资产类别的普遍回报预测
本文分析表明,现货和期货合约之间的基础包含了商品、股票指数、固定收益和外汇等资产类别证券的未来回报信息。大宗商品的基数与商业周期的领先指标正相关,而金融资产的基数与短期利率负相关。基础的回报可预测性可以通过简单的多资产多空策略获得,该策略产生的样本外夏普比率为0.5,相对于常用的资产定价模型,每年的alpha为2.5%-4.5%。具体而言,分析包括五个Fama-French因子,一个债券指数和多资产动量、价值、时间序列动量的期货风险溢价,以及四个特定资产的套利因子。策略绩效具有逆周期性,对交易成本具有较强的稳健性。
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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