We propose various specification tests for Hawkes models based on the Lagrange Multiplier (LM) principle. Hawkes models can be used to model the occurrence of extreme events in financial markets. Our specific testing focus is on extending a univariate model to a multivariate model, that is, we...

There is an increasing awareness of the potential of nonlinear modeling in regional science, which can partly be explained by the recognition of the limitations of conventional equilibrium models in complex situationsand partly by the easy availability and accessibility of sophisticated...

Spatial effects are endemic in models based on spatially referenced data. The increased awareness of the relevance of spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics. Spatial econometrics focuses on the specification and...

In this paper the effect of excess narrow money (MI) on C PI intlation in Indonesiabefore, during, and after the Asian crisis is empirically examined. The standard model for themonetary analysis of inflation, i.e. the P-Star model by Hallman-Porter-Small (1991), isapplied and tested empirically...

The stability of the demand for real Ml in Indonesia is empirically examinedusing quarterly data between 1981 and 2002. A cointegrated VAR methodology thatisolates the period of structural breaks in the data generating process of the variables,caused by the Asian crisis, is used. The results...

In the last decade we have seen extensive international research on the extent to which wages of individuals respond to changing local labour market conditions. For many countries and periods, an inverse relationship between wages and unemployment rates has been found. Following Blanchflower and...

We investigate the effect of estimation error on backtests of (multi-period) expected shortfall (ES) forecasts. These backtests are based on first order conditions of a recently introduced family of jointly consistent loss functions for Value-at-Risk (VaR) and ES. We provide explicit expressions...

We examine the impact of temporal and portfolio aggregation on the quality of Value-at-Risk (VaR) forecasts over a horizon of ten trading days for a well-diversified portfolio of stocks, bonds and alternative investments. The VaR forecasts are constructed based on daily, weekly or biweekly...

Several Bayesian model combination schemes, including some novel approaches that simultaneously allow for parameter uncertainty, model uncertainty and robust time varying model weights, are compared in terms of forecast accuracy and economic gains using financial and macroeconomic time series....