收益率曲线中关于未来利率风险的增量信息

IF 3.6 2区 经济学 Q1 BUSINESS, FINANCE
Bent Jesper Christensen, Mads Markvart Kjær, Bezirgen Veliyev
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引用次数: 0

摘要

使用高频日内期货价格来衡量选定到期日的收益率波动性,我们发现,相对于历史波动性时间序列中包含的信息,日收益率曲线携带了关于长期未来利率风险的增量信息。屈服曲线中的一些信息没有被标准仿射模型捕获。我们的结果指出了一个非平移随机波动因子的存在性。相对于随机游走,基于时间序列和收益率曲线的预测都为规避风险的投资者提供了效用。可以将这两个来源的信息结合起来,以提高收益率波动性预测性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The incremental information in the yield curve about future interest rate risk

Using high-frequency intraday futures prices to measure yield volatility at selected maturities, we find that daily yield curves carry incremental information about future interest rate risk at the long end, relative to that contained in the time series of historical volatilities. Some of the information in the yield curves is not captured by standard affine models. Our results point to the existence of an unspanned stochastic volatility factor. Both time series and yield curve based forecasts provide utility to a risk averse investor, relative to a random walk. Information from the two sources can be combined to enhance yield volatility forecasting performance.

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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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