Advance booking and hotel price variability online: any opportunity for business customers?

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With this research we empirically observe the dynamics of prices of goods and leisure services by identifying important variations in the historical series of daily rates; the heterogeneity of such series often exceeds that observed on risk markets for antonomasia. A model to predict such a useful dynamic for travel industry operators was built.

With the model, we want to establish a link between rate’s distribution and micro, meso and macroeconomic factors to explain how these factors affect over time and to evaluate whether they act in different ways.

 

Authors: Andrea Guizzardi  (Department of Statistical Sciences, University of Bologna),​ Flavio Maria Emanuele Pons (Department of Statistical Sciences, University of Bologna),​ Ercolino Ranieri , (CEO - Xenia S.p.A.)