A predictive model of revenue per available room in the Eastern Mediterranean using bilateral exchange rates Online publication date: Tue, 01-Mar-2016
by Christopher M. Hannum; Kerem Yavuz Arslanli
International Journal of the Built Environment and Asset Management (IJBEAM), Vol. 1, No. 4, 2015
Abstract: In an era of exchange rate volatility, performance of hospitality industry assets may be highly sensitive to currency shocks which affect international demand, such as the fall in the value of the Russian Ruble in late 2014. We aim to create a systematic and meaningful predictive model to give insight for managers and investors in the hospitality industry in this region regarding which bilateral exchange rates to watch most closely and particularly the timing of anticipated effects. This study will examine the relationship between Revenue per Available Room (RevPAR), the key measure of operational performance in the hospitality industry, and bilateral exchange rates in eight countries of the Balkans and Eastern Mediterranean. The study methodology follows a LASSO penalised regression model for simultaneous and systematic selection of variables and lag lengths and estimation of model parameters.
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