Conventional time series analysis, focusing exclusively on a time series at a given scale, lacks the ability to explain the nature of the data generating process. A process equation that successfully explains daily price changes, for example, is unable to characterize the nature of hourly price...

The possibility of confusing long memory behavior with structural changes need to specify what kind of long memory behavior is concerned in literature and applications. One attraction of long memory models is that they imply different long run predictions and effects of shocks to conventional...

This paper proposes the view that financial development and economic growth are linked through the characteristics of technology. The most obvious connection between technology and financial innovation emerges through risk-sharing. Technology is modeled as a distribution over outcomes....

The 1993 Japanese financial system reform allowed banks to enter the underwriting market for corporate bonds through bank-owned security subsidiaries. This paper examines empirically whether underwriting commissions and spreads for corporate bonds fell as a result of this bank entry. The...

This paper is an attempt to decompose the average transactions velocity of money into two or more individual velocities. When the economy-wide velocity is expressed as a weighted average of two disaggregated velocities, this provides an equation with two unknowns. The additional equation can be...

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...

There is a growing literature on unit root testing in threshold autoregressive models. This paper makes two contributions to the literature. First, an asymptotic theory is developed for unit root testing in a threshold autoregression, in which the errors are allowed to be dependent 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,...

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...