We compare the out-of-sample forecasting performance of univariate homoskedastic, GARCH, autoregressive and nonparametric models for conditional variances, using five bilateral weekly exchange rates for the dollar, 1973-1989. For a one week horizon, GARCH models tend to make slightly more...

When estimates of variances are used to make asset allocation decisions, underestimates of population variances lead to lower expected utility than equivalent overestimates: a utility based criterion is asymmetric, unlike standard criteria such as mean squared error. To illustrate how to...

This paper discusses the relationship between interest rate and inflation rate on one part and the house price relative to chonsei price (up-front lump-sum deposit from the tenant to the owner for the use of the property with no additional requirement for periodic rent payments) on the other....

Capital market liberalization has become an irreversible trend in Korea since 1992. With the current level of high interest rate in Korea, however, drastic full-scale liberalization would certainly attract a large amount of capital inflows and appreciate the Korean won. This would affect the...

We review the recent U.S. monetary policy experience with large scale asset purchases (LSAPs) and draw lessons for monetary policy going forward. A rough consensus from previous studies is that LSAP purchases reduced yields on 10-year Treasuries by about 100 basis points. We argue that the...

We study long run correlations between safe real interest rates in the U.S. and over 30 variables that have been hypothesized to influence real rates. The list of variables is motivated by an intertermporal IS equation, by models of aggregate savings and investment, and by reduced form studies....

This paper compares nominal income and monetary targets in a standard aggregate demand - aggregate supply framework. If the desirability of policies is measured by their effect on the unconditional variance of output, nominal income targeting is preferable if and only if the aggregate elasticity...

A þT consistent estimator of a heteroskedasticity and autocorrelation consistent covariance matrix estimator is proposed and evaluated. The relevant applications are ones in which the regression disturbance follows a moving average process of known order. In a system of þ equations, this...

Using a dynamic linear equation that has a conditionally homoskedastic moving average disturbance, we compare two parameterizations of a commonly used instrumental variables estimator (Hansen (1982)) to one that is asymptotically optimal in a class of estimators that includes the conventional...

We propose a nonparametric method for automatically selecting the number of autocovariances to use in computing a heteroskedasticity and autocorrelation consistent covariance matrix. For a given kernel for weighting the autocovariances, we prove that our procedure is asymptotically equivalent to...