Business process models are a suitable means to describe the temporal and logical order of tasks for achieving a given goal. Therefore they become crucial in the coordination of intervention actions to efficiently recover from a disaster or tragic event. Past experience is vital in handling...

Threshold models have been found useful in modeling nonlinearities in many financial time series. In this framework, the financial variable of interest evolves according to different dynamics, which is solely determined by the threshold regimes that the observed indicator variable falls into....

This paper studies volatility in individual stocks of the Toronto Stock Exchange (TSE), using a recently developed nonlinear approach, a stochastic threshold model. Trading information is embedded into the determination process for volatility in the stochastic threshold model with a generalized...

Previous studies on post-reform market performance of Chinese grain markets have produced mixed results. This paper employs province-level price data to determine if China's food market liberalization policies in the 1990s resulted in interregional rice market integration. Furthermore, this...

Existing empirical evidence on the impact of macroeconomic variables on agriculture remains mixed and inconclusive. This paper re-examines the dynamic relationship between monetary policy variables and agricultural prices using alternative vector autoregression (VAR) type model specifications....

The paper considers the use of directed acyclic graphs (DAGs), and their construction from observational data with PC-algorithm TETRAD II, in providing over-identifying restrictions on the innovations from a vector autoregression. Results from Sims’ 1986 model of the US economy are replicated...