This interview with Michio Hatanaka is the first in this series given in the East, of which we are very proud. Hatanaka is a pioneer of econometrics in Japan. In the early 1950s he traveled to the United States to study as a graduate student at Vanderbilt University. That step was really unusual...

The standard vector error correction (VEC) model assumes the iid normal distribution of disturbance term in the model. This paper extends this assumption to include GARCH process. We call this model as VEC-GARCH model. However as the number of parameters in a VEC-GARCH model is large, the...

In econometric literatures, a number of tests for unit roots have been proposed in the presence of structural changes in I(1) and I(0) model when the numbers of break points are or are not known (though their locations are unknown). Recently, Hatanaka and Yamada [A unit root test in the presence...

In this paper we demonstrate that a jump diffusion model is better fitted to Japanese stock data in the Nikkei 225 than the classical Black–Scholes (BS) model. In order to check the existence of jumps, we implement the bipower test by Barndorff-Nielsen and Shephard [O.E. Barndorff-Nielsen, N....

It is well known that the distributions of assets returns have heavier tails than the Gaussian's. To capture such a distributional characteristic, the Generalized Hyperbolic(GH) distribution and its subclasses have been applied to assets returns as the distribution with heavier tails. GH...

Let {<bold>X</bold>(<italic>t</italic>)} be a multivariate Gaussian stationary process with the spectral density matrix <italic>f</italic>₀(ω), where θ is an unknown parameter vector. Using a quasi-maximum likelihood estimator <private-char>null</private-char> of θ, we estimate the spectral density matrix <italic>f</italic>₀(ω) by <italic>f</italic><private-char>null</private-char>(ω). Then we derive asymptotic expansions of...