We develop a non-dynamic panel smooth transition regression model with fixed individual effects. The model is useful for describing heterogenous panels, with regression coefficients that vary across individuals and over time. Heterogeneity is allowed for by assuming that these coefficients are...

In an internal capital market, individual departments may compete for a share of the firm's budget by engaging in wasteful influence activities. We show that firms with more levels of hierarchy may experience lower influence costs than less hierarchical firms, even though the former provide more...

Using data from real estate corporations, we report that related diversification over different property types is associated with a discount while geographical diversification has no significant effect on shareholder value. Related diversification in order to exploit potential synergistic gains...

This paper provides an explanation of currency crises based on an argument that bailing out financially distressed exporting firms through a currency depreciation is ex-post optimal. Exporting firms have profitable investment opportunities, but they will not invest because high leverage causes...

We study diversification within the real estate industry because of its relative transparency: portfolio management of assets with well-defined market prices. Diversification is over property types and geographical regions. The major cause of the diversification discount is not diversification...

We develop a non-dynamic panel smooth transition regression model with fixed individual effects. The model is useful for describing heterogenous panels, with regression coefficients that vary across individuals and over time. Heterogeneity is allowed for by assuming that these coefficients are...

In an internal capital market, individual departments may compete for a share of the firm´s budget by engaging in wasteful influence activities. We show that firms with more levels of hierarchy may experience lower influence costs than less hierarchical firms, even though the former provide...

In this paper we propose a general method for testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form. These tests are based on a Taylor expansion of the nonlinear model around a given point in a sample space. We study the performance of our tests by...

This paper studies a class of Markov models which consist of two components. Typically, one of the components is observable and the other is unobservable or 'hidden'. Conditions under which (a form of) geometric ergodicity of the unobservable component is inherited by the joint process formed of...

In this paper, a unified framework for testing the adequancy of an estimated EGARCH model is presented. The tests are Lagrange multiplier or Lagrange multiplier type tests and include testing an EGARCH model against a higher-order one and testing parameter constancy. Furthermore, various...