Treasury Liquidity, Funding Liquidity and Asset Returns

Ruslan Goyenko
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引用次数: 5

Abstract

This paper links the illiquidity of US Treasuries to funding liquidity and shows that dealers’ financial constraints tighten after a positive shock to Treasury illiquidity. Consistent with the empirical properties of funding liquidity, illiquidity of Treasuries predicts changes in the TED spread and VIX index. Further, bond illiquidity is the only variable which consistently predicts the equity premium across sub-periods when controlling for all other common predictors. Moreover it is the only variable which survives the Goyal and Welch (2008, Review of Financial Studies) out-of-sample tests. Using it as a priced risk factor helps to explain cross-sectional returns of mutual funds. Controlling for stock market liquidity risk, funds with higher funding liquidity risk outperform funds with lower funding liquidity risk by 4.9% per annum. Fund inflows associated with lower funds’ liquidity constraints and higher funding liquidity risk predict superior performance.
国库流动性,资金流动性和资产回报
本文将美国国债的非流动性与融资流动性联系起来,并表明在国债非流动性受到正面冲击后,交易商的资金约束收紧。与资金流动性的经验性质一致,国债的非流动性预测了TED价差和VIX指数的变化。此外,在控制所有其他常见预测因素的情况下,债券非流动性是唯一能够持续预测各子时期股票溢价的变量。此外,它是Goyal和Welch(2008年,金融研究评论)样本外测试中幸存的唯一变量。将其作为定价风险因素有助于解释共同基金的横截面收益。在股票市场流动性风险控制下,资金流动性风险高的基金的年收益比资金流动性风险低的基金高出4.9%。基金流动性约束较低和资金流动性风险较高的资金流入预示着较好的业绩。
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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