Scinovex
articleTop 1% cited

Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model

Econometrica · 1987 · Vol. 55(2) · pp. 391–391

Abstract

The expectati on of the excess holding yield on a long bond is postulated to depend upon its conditional variance. Engle's ARCH model is extended to allow the conditional variance to be a determinant of the mean and is called ARCH-M. Estimation and infer ence procedures are proposed, and the model is applied to three interest rate data sets. In most cases the ARCH process and the time varying risk premium are highly significant. A collection of LM diagnostic tests reveals the robustness of the model to various specification changes such as alternative volatility or ARCH measures, regime changes, and interest rate formulations. The model explains and interprets the recent econometric failures of the expectations hypothesis of the term structure. Copyright 1987 by The Econometric Society.

Stochastic processes and financial applicationsFinancial Risk and Volatility ModelingCredit Risk and Financial RegulationsTerm (time)ArchEconomicsEconometricsRisk premiumAffine term structure modelRisk modelMathematicsYield curveEngineering
Citations
2,502
FWCI
60.95
field-weighted impact
References
19
Percentile
100%
vs. same field & year
Citations per year
Cited by
A Capital Asset Pricing Model with Time-Varying Covariances
Journal of Political Economy · 1988 · 3,202 citations
Expected Stock Returns and Variance Risk Premia
Review of Financial Studies · 2009 · 1,841 citations
Stock Price Distributions with Stochastic Volatility: An Analytic Approach
Review of Financial Studies · 1991 · 1,547 citations
No news is good news
Journal of Financial Economics · 1992 · 1,973 citations
Stock market volatility, excess returns, and the role of investor sentiment
Journal of Banking & Finance · 2002 · 697 citations
ARCH modeling in finance
Journal of Econometrics · 1992 · 4,361 citations
Expected stock returns and volatility
Journal of Financial Economics · 1987 · 4,255 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.