scholarly journals Threshold Dynmamics of Short-Term Interest Rates: Empirical Evidence and Implications for the Term Structure

2007 ◽  
Author(s):  
Theofanis Archontakis ◽  
Wolfgang Lemke
2009 ◽  
Vol 52 (1) ◽  
pp. 75-103
Author(s):  
Jean-Pierre Aubry ◽  
Pierre Duguay

Abstract In this paper we deal with the financial sector of CANDIDE 1.1. We are concerned with the determination of the short-term interest rate, the term structure equations, and the channels through which monetary policy influences the real sector. The short-term rate is determined by a straightforward application of Keynesian liquidity preference theory. A serious problem arises from the directly estimated reduced form equation, which implies that the demand for high powered money, but not the demand for actual deposits, is a stable function of income and interest rates. The structural equations imply the opposite. In the term structure equations, allowance is made for the smaller variance of the long-term rates, but insufficient explanation is given for their sharper upward trend. This leads to an overstatement of the significance of the U.S. long-term rate that must perform the explanatory role. Moreover a strong structural hierarchy, by which the long Canada rate wags the industrial rate, is imposed without prior testing. In CANDIDE two channels of monetary influence are recognized: the costs of capital and the availability of credit. They affect the business fixed investment and housing sectors. The potential of the personal consumption sector is not recognized, the wealth and real balance effects are bypassed, the credit availability proxy is incorrect, the interest rate used in the real sector is nominal rather than real, and the specification of the housing sector is dubious.


1998 ◽  
Vol 24 (9/10) ◽  
pp. 20-71 ◽  
Author(s):  
Tom W. Miller ◽  
Bernell Stone ◽  
Harold R. Silver

2018 ◽  
Vol 05 (02) ◽  
pp. 1850018
Author(s):  
Ramaprasad Bhar ◽  
Damien Lee

Most reported stochastic volatility (SV) model for interest rates only deals with an AR specification for the latent factor process. We show in this paper the technical details for specifying the SV model for interest rates that includes an ARMA structure, a jump component and additional exogenous variables for the latent factor process. We demonstrate the efficacy of this approach with an application to the US short-term interest rate data. We find that the elasticity parameter of the variance is closer to 0.5, i.e., similar to that of the Cox–Ingersoll–Ross (1985) model of interest rates. This is quite a contrast to the finding Chan et al. [Chan, KC, GA Karolyi, F Longstaff and A Sanders (1992). The volatility of short-term interest rates: An empirical comparison of alternative models of term structure of interest rates, Journal of Finance, 47, 1209–1227]. who found the elasticity to be close to 1.5.


2014 ◽  
Vol 104 (1) ◽  
pp. 338-341 ◽  
Author(s):  
Jonathan H. Wright

Bauer, Rudebusch, and Wu (2014) advocate the use of bias-corrected estimates in their comment on Wright (2011). Econometric estimation of a macro-finance VAR provides quite imprecise estimates of future short-term interest rates. Nonetheless, comparison with survey responses indicates that the proposed bias-corrected point estimates are less plausible than their maximum-likelihood counterparts. (JEL E31, E43, E52, G12, H63)


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