{"title":"国债拍卖风险溢价","authors":"Patrick Herb","doi":"10.1016/j.jbankfin.2024.107316","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"170 ","pages":"Article 107316"},"PeriodicalIF":3.6000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The treasury auction risk premium\",\"authors\":\"Patrick Herb\",\"doi\":\"10.1016/j.jbankfin.2024.107316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":48460,\"journal\":{\"name\":\"Journal of Banking & Finance\",\"volume\":\"170 \",\"pages\":\"Article 107316\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Banking & Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378426624002309\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Banking & Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378426624002309","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
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.
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.