論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available
論文名稱 Title |
散戶投資人關注度對中國商品期貨市場的影響 The Effects of Retail Investor Attention on China’s Commodity Futures Market |
||
系所名稱 Department |
|||
畢業學年期 Year, semester |
語文別 Language |
||
學位類別 Degree |
頁數 Number of pages |
50 |
|
研究生 Author |
|||
指導教授 Advisor |
|||
召集委員 Convenor |
|||
口試委員 Advisory Committee |
|||
口試日期 Date of Exam |
2019-07-09 |
繳交日期 Date of Submission |
2020-01-08 |
關鍵字 Keywords |
百度指數,投資人關注度,商品期貨,PC搜索,移動搜索,股吧閲讀量 PC searches, Mobile searches, Guba reading volume, Baidu Index, Investor attention, Commodity futures market |
||
統計 Statistics |
本論文已被瀏覽 5731 次,被下載 6 次 The thesis/dissertation has been browsed 5731 times, has been downloaded 6 times. |
中文摘要 |
經過幾十年的探索和發展,中國的商品期貨市場已經逐步成長為世界上最大的商品期貨交易市場之一。根據2017年美國期貨行業協會的統計,上海期貨交易所(SHFE),大連商品交易所(DCE),鄭州商品交易所(ZCE)的交易量分別位居世界第9,第10和第13位。更重要的是,中國的商品期貨市場已成為農產品合約交易的主導者,同時在金屬交易中也發揮著重要作用。從品種規模看,截至2017年,中國共有3傢商品期貨交易所和1傢金融期貨交易所,已上市55個期貨品種。2018年是中國期貨市場國際化的元年,一個里程碑就是原油期貨在上期所子公司上海國際能源交易中心上市。在最挑戰的國際化探索方面,原油期貨的上市不僅是一個產品創新,同時也是一個開放舉措。 因此,中國商品期貨市場也逐漸引起了學術界和學者們的高度重視。本研究將百度搜索指數作為散戶投資人關注度的代理變數,揭示了這種關注度對中國商品期貨市場的影響。首先,本研究發現異常百度搜索指數對16種商品期貨的報酬率和報酬率的波動性具有重要的影響,以及具有可預測性。其次,結果還檢驗了移動搜索的異常百度搜索指數是比PC搜索指數更有效的關注度指標。第三,本研究還提出了另外一種代理變數來作為散戶投資人關注度——股吧閱讀量。本研究發現股吧閱讀量也可以影響商品期貨市場的報酬率和報酬率的波動性,但它沒有預測能力。 |
Abstract |
After decades of exploration and development, China’s commodity futures market has significantly gradually growing into one of the world’s biggest commodity futures trading market. Thus, Chinese commodity futures market has drawn great attention from academics and practitioners to study which factors will impact the market. This study applies Baidu Search Index as a proxy for retail investor attention to reveal how the attention affects China’s commodity futures market. First, this study finds that the abnormal Baidu Search Index has an important impact on return and volatility of 16 commodity futures and has the predictability. Second, results also examine that the abnormal Baidu Search Index from mobile searches is a more effective attention measure than PC searches. Third, this study provides another proxy as retail investor attention——Guba reading volume, it finds that Guba reading volume can also affect the return and volatility of the future market. |
目次 Table of Contents |
Content 論文審定書 i 摘要 ii ABSTRACT iii CONTENT iv LISTS OF TABLES v Chapter 1 INTRODUCTION 1 Chapter 2 LITERATURE REVIEW 4 Chapter 3 DATA 8 3.1 Commodity futures 8 3.2 Investor attention 9 3.3 Guba 12 Chapter 4 METHODOLOGY 14 4.1 Panel regression 14 4.2 Different devices 15 4.3 Robustness 16 4.4 Guba 18 Chapter 5 EMPIRICAL RESULTS 19 5.1 Panel regression 19 5.2 Different devices 21 5.3 Robustness 23 5.4 Guba 26 Chapter 6 CONCLUSION 28 REFERENCE 29 APPENDIX 32 |
參考文獻 References |
REFERENCES Brown, T., & Grant, S. M. 2017. Distracted Investing: The Effect of Mobile Device Use and Headline Focus on Investor Judgments. SSRN Electronic Journal Chen Shengli, Guan Tao, Li Yijun, 2018. Forecasting realized volatility of Chinese stock index futures based on jumps, good-bad volatility and Baidu Index. Systems Engineering — Theory &Practice, Vol.38, No.2, Feb., 2018 Da Zhi, Joseph Engelberg, Pengjie Gao, 2011. In Search of Attention. The Journal of Finance, Volume66, Issue5, October 2011, Pages 1461-1499 Chen Jing, Liu Yujane, Lu Lei and Tang Ya, 2016. Investor Attention and Macroeconomic News Announcements: Evidence from Stock Index Futures. The Journal of Futures Markets, Vol. 36, No. 3, 240–266 Ding and Hou, R. Ding, W. Hou, 2015. Retail investor attention and stock liquidity J. Int. Financial Markets Inst. Money, 37 (2015), pp. 12-26 Dyson, M. C. and M. Haselgrove, 2001. The influence of reading speed and line length on the effectiveness of reading from screen. International Journal of Human-Computer Studies 54 (4): 585-612. Fang Jianchun, Giray Gozgor, Chi-Keung, Marco Lau, Zhou Lu, 2019. The impact of Baidu Index sentiment on the volatility of China's stock markets. Finance Research Letters, Available online 29 January 2019 Gao Ya, Xiong, Feng Xu, Li Youwei, Samuel A.Vigne, 2018. A new attention proxy and order imbalance: Evidence from China. Finance Research Letters, Volume 29, June 2019, Pages 411-417 Han Liyan, Li Ziying, Yin Libo, 2017. The effects of investor attention on commodity futures markets. Review of financial market, Volume37, Issue10, Special Issue: Special Issue from the 5th International Conference on Futures and Other Derivatives Markets, October 2017, Pages 1031-1049 Jin Xiu, Jiang Shangwei, Yuan Ying, 2018. Investor Sentiment from Guba Messages and the Predictability of Stock Extreme Returns. Management Review, Vol.30, No.7, July, 2018 Kou Yi, Ye Qiang, Zhao Feng, Wang Xiaolin, 2018. Effects of investor attention on commodity futures markets. Finance Research Letters, Volume 25, June 2018, Pages 190-195 Liu Xianwei, Ye Qiang, 2016. The different impacts of news-driven and self-initiated search volume on stock prices. Information & Management, Volume 53, Issue 8, December 2016, Pages 997-1005 Yung Kenneth, Nafar Nadia, 2017. Investor attention and the expected returns of reits. International Review of Economics & Finance, Volume 48, March 2017, Pages 423-439 Shen Dehua, Zhang Yongjie, Zhang Wei and Xiong, 2017. Baidu index and predictability of Chinese stock returns. Financial Innovation, 3 (1) (2017), p. 4 Sun, Y., Fang, M., Wang, X, 2018. A novel stock recommendation system using Guba sentiment analysis. Personal and Ubiquitous Computing, 22(3), 575–587 Thomas Dimpfl, Stephan Jank,2015. Can Internet Search Queries Help to Predict Stock Market Volatility? European Financial Management, Volume 22, Issue 2, March 2016, Pages 171-192 Vaughan, Chen Yue, Li wen, 2015. Data mining from web search queries: A comparison of google trends and baidu index. Journal of the Association for Information Science and Technology. Volume66, Issue 1, January 2015, Pages 13-22 Wei Zhang, Dehua Shen, Yongjie Zhang, Xiong, 2013. Open source information, investor attention, and asset pricing. Economic Modelling, Volume 33, July 2013, Pages 613-619 Wen Jieyao, Zeng Qingbin, Qi Xianjun, Chen Minghong, 2018. A Study on User Switching Behavioral Intention from PC Search to Mobile Search. Information Science, Volume 36, No. 7, July 2018. Xu Qifa, Bo Zhongpu, Jiang Cuixia, Liu Yezheng, 2019. Does Google search index really help predicting stock market volatility? Evidence from a modified mixed data sampling model on volatility. Knowledge-Based Systems, Volume 166, 15 February 2019, Pages 170-185 Wang Xiaolin, Zhao Feng, Ye Qiang, Kou Yi, 2018. Investor sentiment and the Chinese index futures market: Evidence from the internet search. The Journal of Future Markets, Volume38, Issue 4, April 2018, Pages 468-477 Yao Ting, Jun Yue, Chao Zhang, Ma Qun, 2017. How does investor attention affect international crude oil prices? Applied Energy, Volume 205, 1 November 2017, Pages 336-344 Ye Delei, Yao Zhanlei, Liu Xiaozhou, 2017. Company News, Investors’ Attention and Stock Price Movement: Evidence from a Stock Forum. Journal of East China normal university Humanities and Social Sciences No.6, 2017 |
電子全文 Fulltext |
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。 論文使用權限 Thesis access permission:自定論文開放時間 user define 開放時間 Available: 校內 Campus: 已公開 available 校外 Off-campus: 已公開 available |
紙本論文 Printed copies |
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。 開放時間 available 已公開 available |
QR Code |