This paper develops a dynamic stochastic model to examine the joint patent application and renewal behavior under an international patent protection regime. This framework makes it possible to utilize both the cross-sectional (multi-country filing) and the time-series (patent renewal) dimensions...

An indirect estimator is proposed for two long memory volatility models; the fractionally integrated generalised autoregressive conditional heteroskedasticity (FIGARCH) model and the long memory stochastic volatility (LMSV) model. The small sample properties of the indirect estimator are...

In order to forecast one-step ahead volatility, we calculated jump intensity by using estimated parameters of a duration model of price change. In this procedure, we do not assume any distribution on log-return. Although we do not make any distributional assumption, we may practically choose a...

The existing literature promotes a number of alternative methods to test for the presence of contagion during financial market crises. This paper reviews those methods, and shows how they are related in a unified framework. A number of extensions are also suggested which allow for multivarite...

The existing literature promotes a number of alternative methods to test for the presence of contagion during financial market crises. This paper reviews those methods, and shows how they are related in a unified framework. A number of extensions are also suggested which allow for multivarite...

We examine Granger causality among the exchange rates of eight East Asian economies prior to the Asian crisis. We adopt as our general model Engle and Gau’s (1997) “official band†model, and use daily bilateral US dollar exchange rate data during January 1991-July 1997. Our...

In this paper, we consider testing marginal distributional assumptions. Special cases that we consider are the Pearson's family like the Gaussian, Student, Gamma, Beta and uniform distributions. The test statistics we consider are based on the first moment conditions derived by Hansen and...

Techniques for simulated maximum likelihood (SML) estimation, filtering, and assessing the fit of stochastic volatility models are examined. Both one- and two-factor models (with leverage effects) are considered. The techniques are computationally efficient, robust, straightforward to implement,...