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研究生: 黄芳莉
Widjaja, Liza
論文名稱: Investor Attention and REIT Returns: The Evidence from Google Index on REIT Market
Investor Attention and REIT Returns: The Evidence from Google Index on REIT Market
指導教授: 謝惠璟
Hsieh, Hui-Ching Sana
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際經營管理研究所
Institute of International Management
論文出版年: 2017
畢業學年度: 105
語文別: 英文
論文頁數: 73
外文關鍵詞: Google SVI, Investor Attention, REIT Returns
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  • Nowadays, the development in technology area especially on the internet and social network make internet offer extremely large data information that everyone can access it. Google can be a new direct proxy that gives more accurate timing and overcome the limitation from traditional proxy to capture investor attention through keyword search intensity called SVI. Compare with general market, REIT market requires greater information as consequences of the information level differences. Therefore, this research examines the influence of investor attention captured by SVI with REIT returns on REIT market during bull and bear markets. This is the first study that analyzes market states on search intention based on SVI and uses company level data while previous study on REIT market focused more on the relationship between volatility and investor sentiment about market condition. The result show that Google SVI influences REIT return positively (negatively) in bull market (bear market) at company-level.

    ABSTRACT I ACKNOWLEDGEMENTS II TABLE OF CONTENTS III LIST OF TABLES VI LIST OF FIGURES VII CHAPTER ONE INTRODUCTION 1 1.1 Research Background. 1 1.1.1 The Importance of Attention. 1 1.1.2 Information Platform. 2 1.2 Google Index Utilization. 5 1.3 Stock Return Predictability. 8 1.4 Investor Behavior during Different Market States. 9 1.5 Real Estate Market. 10 1.6 Research Objective and Motivation. 11 1.7 Research Gap and Contributions. 12 1.8 Research Structure. 12 CHAPTER TWO LITERATURE REVIEW 14 2.1 Investor Attention. 14 2.1.1 Investor Attention and Stock Returns. 14 2.1.2 Limitation of Investor Attention Traditional Proxy. 16 2.2 Search Volume Index (SVI). 17 2.2.1 Innovative Measurement from Google Index. 17 2.2.2 SVI as Investor Attention. 18 2.2.3 SVI as a Better Proxy for Investor Attention. 21 2.2.4 SVI on Real Estate. 22 2.3 Price Pressure Theory and Hypothesis Development. 23 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 27 3.1 Google Index Data Collection. 27 3.1.1 SVI Measurement. 27 3.1.2 Selected Keyword. 28 3.2 Procedure of Data Analysis. 29 3.3 Methodology. 30 3.4 Expectations. 31 CHAPTER FOUR RESEARCH RESULTS 33 4.1 Descriptive Statistics. 33 4.2 Correlation Analysis. 38 4.3 Multicollinearity Analysis. 39 4.4 Data Regression Analysis. 40 4.4.1 Data Regression Result for Bull Market State. 40 4.4.2 Data Regression Result for Bear Market State. 44 4.4.3 Longer Horizon Return during Bull Market State. 48 4.4.4 Longer Horizon Return during Bear Market State. 50 CHAPTER FIVE CONCLUSION AND SUGGESTIONS 53 5.1 Research Conclusion. 53 5.2 Research Implications and Contributions. 55 5.3 Research Limitations and Suggestions. 56 REFERENCES 57 APPENDIX 61 Appendix 1: REIT Company List & Ticker 61

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