This article presents a product life cycle and forecasting methodology for both emerging and established casino markets. Gross gaming revenues and win per square foot per day were forecasted using classical time-series decomposition with polynomial regression. The model supports the position that casinos conform to Butler's S-shaped product life cycle for resorts, suggesting that the rapid increases in early-period gaming revenues will not continue without intervention to rejuvenate the industry.
The impact of terrorist events on various business sectors has been widely publicized, and the tourism travel industry has been one of the most impacted industries. Prior work has shown that air travel is affected by a terrorist incident within the region in which it occurred. This
research is the first to model the magnitude of the episode, the duration of the effect, and the shape of life the cycle. Two terrorism events that affected tourist air travel are analyzed: 9/11 and the Madrid train bombings. Our findings suggest that the impact on tourist air travel from
these catastrophes follow scalable and fad life cycles, respectively. These results have significant implications for the tourism travel industry, which are identified and discussed.
Tests for correlation between the NCREIF (NC) Index and EREIT Index. A multiple time series methodology is used to control for spurious correlation, allow for leading and lagging relationships, and to control for autoregressive moving average processes found in the time series. The underlying variables generating returns for the investor, current cash flow and capital appreciation, are analysed separately. Significant correlation is found between the NC cash flows and EREIT dividends. Significant correlation is not observed between the NC portfolio and EREIT when capital values are analysed. Suggests that one or both series are not a good measure of real estate returns.
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