Asset price fluctuations in Japan: 1980–2000

In this paper, we try to account for the recent fluctuations in asset prices in Japan using a dynamic stochastic general equilibrium model. In our model, a key to explain the land-price fluctuation is how people's expectations about future productivity growth evolve over time. Specifically, by assuming adaptive learning on the growth rate of productivity, our model can replicate the Japanese land-price fluctuations over the period 1980–2000. However, even with adaptive learning, habit persistence, and costly capital accumulation, a substantial portion of the stock-price fluctuation is left unexplained, and a puzzle remains.     

A second-order stock market model

A first-order model for a stock market assigns to each stock a return parameter and a variance parameter that depend only on the rank of the stock. A second-order model assigns these parameters based on both the rank and the name of the stock. First- and second-order models exhibit stability properties that make them appropriate as a backdrop for the analysis of the idiosyncratic behavior of individual stocks. Methods for the estimation of the parameters of second-order models are developed in this paper.     

Sunspot Fluctuations in Asset Prices and Business Cycles in Japan Over 1986–1999

If individuals receive utility directly from the value of their wealth, equilibrium may be indeterminate so that sunspot equilibria may exist. In such an equilibrium, the price of an asset may fluctuate stochastically, as a result of spontaneous revisions of agents' expectations. A neoclassical growth model with such a utility function is used to show that those fluctuations in asset prices can generate co-movement among output, consumption and investment, even without assuming non-convex technology. In particular, numerical results show that the model can replicate well the business cycles in Japan over the period 1986–1999.     

存款准备金制度与中国商业银行的可持续发展探讨

I.Various views about the reserve against deposits y st e mSince People’s Bank of China perform the function of thecentral bank in1984,the rate of the required reserve hasbeen repeatedly adjusted.Judging from their effects on regu-lating the money supply,the adjustments are effective tosome degree.The reform in1998was especially significant.However,because of the defects of the system of requiredreserve,and the restriction of the outside environment,it stillprocesses many limitations.Althou…     

Monetary policy with sticky prices and segmented markets

Summary. We consider a sticky-price model with segmented asset markets, and examine its implications for monetary policy. Our finding is, first, that the response of the money supply growth rate to a money demand shock required to stabilize inflation is not affected by the existence of a liquidity effect, but the response of the nominal interest rate is. Second, when the monetary authority adopts a Taylor rule, whether or not it should be active to obtain local determinacy of equilibria depends on the existence of a liquidity effect. Our results suggest that the monetary authority should be careful about the existence and the degree of a liquidity effect particularly when the nominal interest rate is used as the policy instrument.Received: 11 February 2004, Revised: 1 November 2004 JEL Classification Numbers: E3, E4, E5.     

Money and Prices Under Uncertainty

We study whether monetary economies display nominal indeterminacy: equivalently, whether monetary policy determines the path of prices under uncertainty. In a simple, stochastic, cash-in-advance economy, we find that indeterminacy arises and is characterized by the initial price level and a probability measure associated with state-contingent nominal bonds: equivalently, monetary policy determines an average, but not the distribution of inflation across realizations of uncertainty. The result does not derive from the stability of the deterministic steady state and is not affected essentially by price stickiness. Nominal indeterminacy may affect real allocations in cases we identify. Our characterization applies to stochastic monetary models in general, and it permits a unified treatment of the determinants of paths of inflation.     

Control variate method for stationary processes

The sample mean is one of the most natural estimators of the population mean based on independent identically distributed sample. However, if some control variate is available, it is known that the control variate method reduces the variance of the sample mean. The control variate method often assumes that the variable of interest and the control variable are i.i.d. Here we assume that these variables are stationary processes with spectral density matrices, i.e. dependent. Then we propose an estimator of the mean of the stationary process of interest by using control variate method based on nonparametric spectral estimator. It is shown that this estimator improves the sample mean in the sense of mean square error. Also this analysis is extended to the case when the mean dynamics is of the form of regression. Then we propose a control variate estimator for the regression coefficients which improves the least squares estimator (LSE). Numerical studies will be given to see how our estimator improves the LSE.