This paper examines the long-run dynamics and the cyclical structure of the US stock market using fractional integration techniques. We implement a version of the tests of Robinson (1994a), which enables one to consider unit (or fractional) roots both at the zero (long-run) and at the cyclical...

The use of the Beveridge Nelson decomposition in macroeconomic analysis involves the truncation and estimation of infinite weighted sums of random variables, whereas the single source of error (SSE) state space approach provides a simple and effective framework that leads to exactly the same...

This paper uses the open economy structural VAR model developed in Buckle, Kim, Kirkham, McLellan and Sharma (2002) to evaluate the impact of monetary policy on New Zealand business cycles and inflation variability and the output/inflation variability trade-off. The model includes a...

This paper presents an empirical characterization of Uruguayan’s Business Cycle applying the Switching Regime methodology; three scenarios were considered: recession, moderate growth and boom. The relation between regional and Uruguayan’s business cycle is analyzed through the same...

There is a long tradition in business cycle analysis of arguing that non-linear models are needed to explain the business cycle. In recent years many non-linear models have been fitted to data on GDP for many countries, but particularly for the U.S. In this paper we set our criteria to evaluate...

We use a variety of techniques to examine the nature and degree of co-movement among Australian state business cycles. Our results indicate that these cycles move closely together, with particularly strong links between the cycles of the larger states. This finding is robust to a range of...

Firms in poor countries often tend to rely on alternative sources of financing different than banks. We show that borrowing constraints lead to financial arrangements between firms that can amplify the effect of liquidity or productivity shocks in the economy. In particular, we focus on the...

In this paper we consider a GARCH-in-Mean (GARCH-M) model based on the so-called z distribution. This distribution is capable of modeling moderate skewness and kurtosis typically encountered in financial return series, and the need to allow for skewness can be readily tested. We apply the new...

Many securities are, to a certain extent, subject to credit risk in one way or another. Both the financial institutions and regulators are keen to have their credit risk exposures well managed. In order to fulfill their needs, the market for credit derivatives has become one of the fast growing...

Recorded prices are known to diverge from their "efficient" values due to the presence of market microstructure contaminations. The microstructure noise creates a dichotomy in the model-free estimation of integrated volatility. While it is theoretically necessary to sum squared returns that are...