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Correcting Estimation Bias in Dynamic Term Structure Models

机译:修正动态术语结构模型中的估计偏差

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摘要

The affine dynamic term structure model (DTSM) is the canonical empirical finance representation of the yield curve. However, the possibility that DTSM estimates may be distorted by small-sample bias has been largely ignored. We show that conventional estimates of DTSM coefficients are indeed severely biased, and this bias results in misleading estimates of expected future short-term interest rates and of long-maturity term premia. We provide a variety of bias-corrected estimates of affine DTSMs, for both maximally flexible and overidentified specifications. Our estimates imply interest rate expectations and term premia that are more plausible from a macrofinance perspective. This article has supplementary material online.
机译:仿射动态期限结构模型(DTSM)是收益率曲线的规范经验金融表示。但是,DTSM估计值可能因小样本偏差而失真的可能性已被大大忽略。我们表明,DTSM系数的常规估计确实存在严重偏差,并且这种偏差导致对预期的未来短期利率和长期到期溢价的估计产生误导。对于最大灵活和过度确定的规范,我们提供了各种经过仿射校正的仿射DTSM估计。从宏观金融的角度来看,我们的估计暗示利率预期和长期溢价更为合理。本文在线提供了补充材料。

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