We outline a dynamic stochastic general equilibrium (DSGE) model with trend extrapo-lation in asset pricing that we fit to quarterly U.S. macroeconomic time series with Baye-sian techniques. To be more precise, we modify the DSGE model in Smets and Wouters (2007) by incorporating asset traders...

Using a two-sector endogenous growth model, this paper explores how productivity shocks in the goods and human capital producing sectors contribute to explaining aggregate cycles in output, consumption, investment and hours. To contextualize our findings, we also assess whether the human capital...

The structural differences and the dynamics in prices on the second-hand market for family houses in large(Stockholm, Gothenburg and Malmo), medium-sized, small and industrial cities and sparsely populated areas are analysed in this paper. The basic house price data set used in the analysis...

The main objective of this work is to develop a general equilibrium business cycle model linking financial and real estate markets to the macroeconomy. The ability of a production economy to account simultaneously for asset pricing, business cycle and real estate market facts is then evaluated...

Achieving a good response rate is a goal in every survey. Response rate has also become an interesting academic debate. On one side Hunt (1990) maintains that since marketing is a social science, where most of the time researchers are interested in examining relationships rather than determining...

The long memory characteristic of financial market volatility is well documentedand has important implications for volatility forecasting and optionpricing. When fitted to the same data, different volatility models calculate theunconditional variance differently and could have very different...

The estimation of multivariate GARCH models remains a challenging task, even in modern computer environments. This manuscript shows how Independent Component Analysiscan be used to estimate the Generalized Orthogonal GARCH model in a fraction of the time otherwise required. The proposed method...

We consider the modelling of rare events in financial time series,and introduce a marked point process model for the excesses of thetime series over a high threshold that combines a self-exciting processfor the exceedances with a mark (size) dependent process. This allowsrealistic models for...