2015
DOI: 10.1080/19368623.2015.970725
|View full text |Cite
|
Sign up to set email alerts
|

Performance Trends of Hotels and Casino Hotels Through the Recession: An ARIMA With Intervention Analysis of Stock Indices

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
9
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 16 publications
(9 citation statements)
references
References 28 publications
0
9
0
Order By: Relevance
“…H. Chen 2011; M. H. Chen, Jang, and Kim 2007; Zheng, Farrish, and Kitterlin 2016); nevertheless, they fail to adequately respond to a number of questions surrounding the behavior and reaction of hospitality- and tourism-specific stock indices following major, unexpected nonmacro incidents.…”
Section: Introductionmentioning
confidence: 99%
“…H. Chen 2011; M. H. Chen, Jang, and Kim 2007; Zheng, Farrish, and Kitterlin 2016); nevertheless, they fail to adequately respond to a number of questions surrounding the behavior and reaction of hospitality- and tourism-specific stock indices following major, unexpected nonmacro incidents.…”
Section: Introductionmentioning
confidence: 99%
“…Olason et al (2015) study found that after all three major banks in Iceland went bankrupt in 2008 gambling went up significantly. Zheng et al (2016) used autoregressive integrated moving average (ARIMA) with intervention analysis to examine weekly stock indices of the hotel segment and the casino hotel segment in comparison with the S&P 500 index, results show that casino hotel firms were affected at the beginning of the recession and hotel firms and S&P 500 firms were not affected until nine months later. Raab and Schwer (2003) used an autoregressive conditional heteroskedasticity model to measure the short-and long-term impact of the Asian crisis on Las Vegas gaming revenues.…”
Section: Literature Reviewmentioning
confidence: 99%
“…By contrast, Cankurt and Subasi (2016), Song, Li, Witt, andAthanasopoulos (2011), Turner (2015) and many others used structural TS analysis to model and forecast tourist demand. On the other hand, many authors such as Aboagye-Sarfo, Cross, and Mueller (2016), Zheng, Farrish, and Kitterlin (2016), Hayashi (2013, 2014), Chung, Ip, and Chan (2009) and many others used the ARIMA and ITSA methods to evaluate the impacts of various crisis events. An excellent survey of the literature on the evaluation of crisis events can be found in Hall (2010) and Goh and Law (2011).…”
Section: A Brief Review Of Literaturementioning
confidence: 99%