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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The relationship between stock returns and the past performance of tourism industry firms in the United States: empirical evidence and implications.

January 2003 (has links)
Zhang Minye. / Thesis submitted in: November 2002. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 148-152). / Abstracts in English and Chinese. / Chapter CHAPTER 1: --- INTRODUCTION --- p.1 / Chapter 1.1 --- Overview --- p.1 / Chapter 1.2 --- Thesis Outline --- p.7 / Chapter CHAPTER2: --- TOURISM INDUSTRY AND TOURISM STOCKS --- p.9 / Chapter 2.1 --- Definitions --- p.9 / Chapter 2.2 --- Tourism Industry and Stocks in the U.S --- p.10 / Chapter 2.2.1 --- Introduction --- p.10 / Chapter 2.2.3 --- Financial Problems --- p.14 / Chapter 2.3 --- Mean-Variance Analysis and Fama-French Three- Factor Risk-adjusted Performance of Tourism Stocks in the U.S. (From 1990 to 2000) --- p.17 / Chapter 2.3.1 --- The Comparison between Tourism Stocks and Market Portfolio in the U.S --- p.18 / Chapter 2.3.2 --- Fama-French Three-factor Regression and Risk-adjusted Performance --- p.22 / Chapter 2.3.3 --- Explanations of High Systematic Risk and undervalued performance in Tourism Industry and Tourism Stocks --- p.27 / Chapter CHAPTER3: --- LITERATURE REVIEW --- p.31 / Chapter 3.1 --- Anomalies in average stock returns and Fama- French three-factor model --- p.31 / Chapter 3.2 --- Explanations for predictability of stock returnsin different horizons --- p.34 / Chapter 3.3 --- "Literature related to past trading volume, past earnings data, firm size, and industry effect" --- p.40 / Chapter CHAPTER 4: --- MOTIVATIONS AND RESEARCH QUESTIONS --- p.44 / Chapter 4.1 --- Motivations --- p.44 / Chapter 4.2 --- Research Questions --- p.48 / Chapter 4.3 --- Hypotheses --- p.51 / Chapter CHAPTER 5: --- RESEARCH METHODOLOGY AND RESULTS --- p.57 / Chapter 5.1 --- Research Methodology --- p.57 / Chapter 5.1.1 --- Samples and Data Selection --- p.57 / Chapter 5.1.2 --- Research Design --- p.58 / Chapter 5.1.3 --- Summary Statistics of Price and Earning Strategies --- p.62 / Chapter 5.2 --- Results for Short-term Price Contrarian Strategies --- p.65 / Chapter 5.2.1 --- Price Contrarian Strategies for Tourism Portfolio and Market Portfolio --- p.66 / Chapter 5.2.2 --- Volume-Based Price Contrarian Strategy for Tourism Portfolio and Market Portfolio --- p.68 / Chapter 5.2.3 --- Size-Based Price Contrarian Strategy for Tourism Portfolio and Market Portfolio --- p.72 / Chapter 5.2.5 --- Lead-lag Hypothesis --- p.78 / Chapter 5.2.6 --- Section Summary --- p.85 / Chapter 5.3 --- Results for Intermediate- and Long-term Price Momentum and Contrarian Strategies --- p.87 / Chapter 5.3.1 --- Basic Price and Earning Momentum Strategies for Tourism Portfolio and Market Portfolio --- p.89 / Chapter A. --- Price Momentum and Overreaction Hypothesis --- p.89 / Chapter B. --- Earning Momentum and underreaction hypothesis --- p.96 / Chapter C. --- Subsection summary --- p.100 / Chapter 5.3.2 --- Volume-Based Price and Earning Momentum Strategies for Tourism Portfolio and Market Portfolio --- p.105 / Chapter A. --- Volume-Based Price Momentum --- p.105 / Chapter B. --- Volume-Based Earning Momentum --- p.111 / Chapter C. --- Subsection summary --- p.115 / Chapter 5.3.3 --- Size-Based Price and Earning Momentum Strategy for Tourism Portfolio and Market Portfolio --- p.116 / Chapter A. --- Size-Based Price Momentum --- p.116 / Chapter B. --- Size-Based Earning Momentum --- p.121 / Chapter C. --- Subsection summary --- p.125 / Chapter 5.3.4 --- Returns of Risk-Adjusted Momentum Strategies for Tourism Portfolio --- p.127 / Chapter 5.3.5 --- Section Summary --- p.130 / Chapter CHAPTER 6: --- CONCLUSIONS --- p.133 / Chapter A. --- Main Results and Discussions --- p.133 / Chapter B. --- Contributions and Suggestions --- p.143 / Chapter C. --- Limitations and Future Research --- p.146 / REFERENCES --- p.148 / APPENDIX --- p.153 / Appendix 1: Tourism Industry SIC Code Description --- p.153 / Appendix 2: Tourism Stock Sample List --- p.156
2

A study of the price momentum and reversal effect of tourism stocks in the United States.

January 2010 (has links)
Zhang, Wanqing. / Leaf 138 numbered in duplicate. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (leaves 138-143). / Abstracts in English and Chinese. / Abstract --- p.i / 摘要 --- p.ii / Acknowledgement --- p.iii / Table of Content --- p.iv / List of Tables --- p.vi / List of Figures / Chapter Chapter 1: --- Introduction --- p.1 / Chapter 1.1 --- An Overview of the Tourism Industry --- p.1 / Chapter 1.2 --- Research Motivation --- p.3 / Chapter 1.3 --- Outline --- p.8 / Chapter Chapter 2: --- Literature Review --- p.9 / Chapter Chapter 3: --- The Data and Methodology --- p.14 / Chapter 3.1 --- Dataset --- p.14 / Chapter 3.2 --- Methodology --- p.21 / Chapter Chapter 4: --- Empirical Evidence For Tourism Industry --- p.25 / Chapter 4.1 --- Hypothesis --- p.26 / Chapter 4.2 --- Evidence for the tourism stocks --- p.27 / Chapter 4.3 --- Decomposition of Returns --- p.42 / Chapter 4.4 --- Seasonality --- p.52 / Chapter Chapter 5: --- Empirical Evidence For The Market --- p.56 / Chapter 5.1 --- Momentum and reversal effect in general market --- p.57 / Chapter 5.1.1 --- Profitability and Return Performance --- p.57 / Chapter 5.1.2 --- Seasonality --- p.66 / Chapter 5.2 --- Tourism industry vs. General market --- p.70 / Chapter Chapter 6: --- Explaining The Momentum And Reversal Effect: Capital Asset Pricing Model --- p.73 / Chapter 6.1 --- Capmand three-factor model --- p.74 / Chapter 6.2 --- Evidence from tourism stocks --- p.86 / Chapter Chapter 7: --- Explaining The Momentum And Reversal Effect: Fundamentals --- p.92 / Chapter 7.1 --- Movements in fundamentals --- p.95 / Chapter 7.1.1 --- Fundamental hypothesis --- p.95 / Chapter 7.12 --- Movement in profits --- p.96 / Chapter 7.2 --- Using Logit Model To Explore Differences Between The Winner And The Loser Portfolio --- p.108 / Chapter 7.2.1 --- Induction of a binary choice approach- logit regression model --- p.108 / Chapter 7.2.2 --- MODEL I: Using changes in ROA --- p.113 / Chapter 7.2.3 --- MODEL II: Using coded Ret-ROA --- p.115 / Chapter 7.2.4 --- MODEL III: Multi-variable logistic regression --- p.118 / Chapter Chapter 8: --- The Price Impact Of Institutional Investors To Tourism Stocks --- p.120 / Chapter 8.1 --- Changes of institutional ownership in tourism stocks --- p.122 / Chapter 8.2 --- Regression Results --- p.126 / Chapter Chapter 9: --- Conclusion --- p.132 / Reference --- p.138
3

"Slumming" : sexuality, race and urban commercial leisure, 1900-1940 /

Heap, Chad C., January 2000 (has links)
Thesis (Ph. D.)--University of Chicago, 2000. / Includes bibliographical references (leaves 354-372). Also available on the Internet.
4

Foundations of youth sport complex development: commonly identified critical components for successful economic development

Jinkins, Larry E. 05 1900 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / Indianapolis created a whole new city identity using sports development and sports tourism as the primary drivers of change in the 1960’s and 1970’s. Since then, other cities have adopted the philosophy of using sport as a catalyst to improve the economic conditions of the city. This same philosophy has seemingly trickled down to small cities across the United States in the form of youth travel sport complex development. The size of the youth travel sport segment has reportedly reached $7 billion by the National Association of Sports Commissions, resulting in the rapid development of youth sports complexes in small cities and towns. The size and scope of these facilities entering the segment range from 50 acres to as many as 400 contiguous acres costing millions of dollars. Additionally, the perceived economic impact accompanying the development of such facilities are often overinflated due to the diversity of methods used in market analyses, feasibility studies, economic impact analyses, cost-benefit analyses, and Turco’s triple-bottom-line analysis. A more systematic process is needed to assign key performance indicators and identify the critical components that will assist in the decision to enter the segment and at what capacity. This study is designed to identify the necessary critical components to reach the desired economic impacts associated with youth sport complex development. Qualitative constant comparative method of data analysis was utilized in identifying commonly identified critical components (CICC) believed to contribute to the success and sustainability of a youth sports complex.

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