We present non-linear models to capture the turning points in global economic activity as well as in advanced and emerging economies from 1980 to 2017. We first estimate Markov Switching models within a univariate framework. These models support the relevance of three business cycle regimes...

We study the XVII century market for figurative paintings in Italy, analyzing original contracts between patrons and artists: this is one of the first manufacturing markets for which econometric evidence of the basic laws of economics can be found. Size of paintings, expected quality, type of...

Econometric and time series model are utilized to study price linkages between the U.S. and chicken export markets. VAR model results show export price is affected by its past and leg-quarters prices. Econometric estimation results suggest a negative relationship between export price and broiler...

This paper reviews a number of modern as well as classical econometric techniques suitable for empirically determining whether commodities in physically separated markets belong to the same geographical market. Even though the tools presented generalize to the delineation of the relevant product...

The main objective of this research is to forecast the daily direction of Standard & Poor's 500 (S&P 500) index using an artificial neural network (ANN). In order to select the most influential features (factors) of the proposed ANN that affect the daily direction of S&P 500 (the response),...