The present paper applies the Markov switching model with the aim of checking two industrial production features of six major Brazilian states. Firstly, we try to determine the date of business cycles and, soon afterwards, we verify the existence or not of an unobservable component that is...

There are two crucial conditions for cross-sectional aggregation of AR(1) parameters to produce long memory: 1) heterogeneity and 2) proximity to the unit root. We analyze role of moments, namely the mean and variance, of the distribution of the AR(1) coefficients in generating long memory. The...

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,...

The non-negativity constraint on nominal interest rates may have been a major factor behind a putative structural break in the effectiveness of monetary policy. To check for the existence of such a break without making prior assumptions about timing, and to enable comparison between pre- and...

Different criteria exist to define long memory behavior. The two most used relate to the asymptotic decay of the autocovariance function of a process, and to the shape of its spectral density. In the case of a long memory process, the asymptotic decay of the autocovariance function is...

This paper examines empirically the impact of reproductive externalities on fertility behaviour in one developing society - Kenya. We examine this issue by quantifying the effects of group membership on the number of children ever born. The focus of this study is the identification of structural...

Temporally aggregated data is a bane for Granger causality tests. The same set of variables may lead to contradictory causality inferences at different levels of temporal aggregation. Obtaining temporally disaggregated data series is impractical in many situations. Since cointegration is...

Theoretical literature in finance has shown that quantifying the risk of financial time series amounts to measuring their expected shortfall, also known as tail Value at Risk. Unfortunately, little empirical work has been devoted to the problem of modeling and inference of such risk measures...

We provide an analytical and flexible framework to evaluate incentive options. Our model not only considers vesting periods and trading and hedging restrictions on the holders, but also specifically includes provisions of reloading and resetting to capture the fact that firms tend to grant more...

In this paper, we attempt to study the time series dynamics of the stock trading volume, or equivalently stock turnover using recently available data for individual stocks traded on the Bombay Stock Exchange (BSE) and the National Stock Exchange (NSE). Stock turnover has been studied intensively...