国债拍卖风险溢价

IF 3.6 2区 经济学 Q1 BUSINESS, FINANCE Journal of Banking & Finance Pub Date : 2024-10-10 DOI:10.1016/j.jbankfin.2024.107316
Patrick Herb
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引用次数: 0

摘要

笔者利用时间序列资产定价模型,通过实证研究表明,美国国库券定价偏低的原因是风险溢价补偿了交易商承担的价格风险。这一发现表明,财政部可以通过降低拍卖参与者拍卖后的价格风险(波动性)来减少定价过低的情况,这可以通过缩短从拍卖到结算的时间在数学上实现。根据我的计算,从 2000 年 1 月到 2016 年 6 月,定价不足使财政部损失了 463 亿美元。我估计,如果将结算时间标准化为 1 天,财政部在同一时期可节省 156 亿美元。此外,我还利用估计模型预测了每次拍卖的预期风险调整收益(因定价过低而产生),并发现这些预测可以预测财政部的拍卖需求。这一发现表明,拍卖需求取决于定价不足,尽管是在预期风险调整的基础上。此外,这种预期定价偏低实际上可能有助于财政部出售债务,避免拍卖失败。
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The treasury auction risk premium
Using a time series asset pricing model, I empirically show that underpricing of U.S. Treasury securities is explained by risk premia that compensate dealers for bearing price risk. This finding suggests that the Treasury could reduce underpricing by reducing the post-auction price risk (volatility) to auction participants, which can be achieved mathematically by reducing the time from auction to settlement. I calculate that underpricing cost the Treasury $46.3 billion from January 2000 through June 2016. I estimate that standardizing the settlement period to 1-day could have saved the Treasury $15.6 billion over the same period. In addition, I use the estimated model to forecast expected risk-adjusted returns (that result from underpricing) for each auction, and find that these forecasts predict Treasury auction demand. This finding suggests that auction demand depends on underpricing, albeit on an expected risk-adjusted basis. Further, this expected underpricing may actually help the Treasury to sell debt and avoid auction failures.
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来源期刊
CiteScore
6.40
自引率
5.40%
发文量
262
期刊介绍: The Journal of Banking and Finance (JBF) publishes theoretical and empirical research papers spanning all the major research fields in finance and banking. The aim of the Journal of Banking and Finance is to provide an outlet for the increasing flow of scholarly research concerning financial institutions and the money and capital markets within which they function. The Journal''s emphasis is on theoretical developments and their implementation, empirical, applied, and policy-oriented research in banking and other domestic and international financial institutions and markets. The Journal''s purpose is to improve communications between, and within, the academic and other research communities and policymakers and operational decision makers at financial institutions - private and public, national and international, and their regulators. The Journal is one of the largest Finance journals, with approximately 1500 new submissions per year, mainly in the following areas: Asset Management; Asset Pricing; Banking (Efficiency, Regulation, Risk Management, Solvency); Behavioural Finance; Capital Structure; Corporate Finance; Corporate Governance; Derivative Pricing and Hedging; Distribution Forecasting with Financial Applications; Entrepreneurial Finance; Empirical Finance; Financial Economics; Financial Markets (Alternative, Bonds, Currency, Commodity, Derivatives, Equity, Energy, Real Estate); FinTech; Fund Management; General Equilibrium Models; High-Frequency Trading; Intermediation; International Finance; Hedge Funds; Investments; Liquidity; Market Efficiency; Market Microstructure; Mergers and Acquisitions; Networks; Performance Analysis; Political Risk; Portfolio Optimization; Regulation of Financial Markets and Institutions; Risk Management and Analysis; Systemic Risk; Term Structure Models; Venture Capital.
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