This paper contributes to model the industry interconnecting structure in a network context. General predictive model (Rapach et al. 2016) is extended to quantile LASSO regression so as to incorporate tail risks in the construction of industry interdependency networks. Empirical results show a...

This preprint reviews several statistical tests for (out-of-sample) forecast evaluation. In particular, it contains formulations and discussions of assumptions underlying these tests. Moreover, the preprint extends the applicability of the prediction accuracy tests of Giacomini and White (2006)...

The k nearest neighbors (k-NN) classifier is one of the most popular methods for statistical pattern recognition and machine learning. In practice, the size k, the number of neighbors used for classification, is usually arbitrarily set to one or some other small numbers, or based on the...

The restaurant industry has been facing tough challenges because of the recent economic turmoil. Although different industries face different levels of competition and therefore the likelihood of financial distress can differ for firms in different industries, scant attention has been paid to...

The importance of social identities (e.g. race, gender, political ideology) in economic interactions is well established, but little is known about how people strategically manipulate the visibility or salience of their multiple identity types. This paper experimentally explores a common type of...