研究生: |
林啟志 Lin, Qi-Zhi |
---|---|
論文名稱: |
投資人情緒對比特幣市場流動性與價格崩盤風險的影響 The Impact of Investor Sentiment on Bitcoin Market Liquidity and Price Crash Risk |
指導教授: |
蔡蒔銓
Tsai, Shih-Chuan 賴慧文 Lai, Whuei-Wen |
口試委員: |
張森林
Chung, San-Lin 黃瑞卿 Huang, Jui-ching 蔡蒔銓 Tsai, Shih-Chuan |
口試日期: | 2023/07/06 |
學位類別: |
碩士 Master |
系所名稱: |
管理研究所 Graduate Institute of Management |
論文出版年: | 2023 |
畢業學年度: | 111 |
語文別: | 中文 |
論文頁數: | 40 |
中文關鍵詞: | 投資人情緒 、比特幣市場 、崩盤風險 、流動性 、分位數回歸 |
英文關鍵詞: | Investor Sentiment, Bitcoin Market, Crash Risk, Liquidity, Quantile Regression Analysis |
研究方法: | 實驗設計法 、 觀察研究 |
DOI URL: | http://doi.org/10.6345/NTNU202301101 |
論文種類: | 學術論文 |
相關次數: | 點閱:97 下載:17 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
本研究探討了投資人情緒對比特幣市場的崩盤風險和流動性的影響,並構建了新的投資人情緒衡量指標。研究結果顯示,在高分位數上,投資人情緒對比特幣市場的崩盤風險呈現正向影響。這可能是因為積極情緒使得投資者對比特幣價格過度樂觀,導致投資行為不理性,推高價格到不合理水準。此過程中,流動性並非主要影響因素。
在低分位數上,投資人情緒對比特幣價格崩盤風險呈現負向影響。低落的情緒增加了投資者的擔憂、恐慌和悲觀情緒,導致比特幣價格下跌風險加劇。這時市場流動性扮演了中介角色,因為投資者可能更傾向於拋售比特幣以減少風險,進而導致流動性減少。
本研究結果對於理解比特幣市場的價格波動機制以及投資者行為有重要的學術和實踐意義,也為相關市場參與者提供了有益的啟示。
This research investigated the impact of investor sentiment on the collapse risk and liquidity of the Bitcoin market and constructs a new investor sentiment measurement index. The findings indicated that, at higher percentiles, investor sentiment had a positive impact on the Bitcoin market’s collapse risk. This might be due to positive sentiment causing investors to be more overly optimistic about the Bitcoin price, leading to irrational investment behavior and pushing up the price to unreasonable levels. In this process, liquidity was not the main influencing factor.
Conversely, at lower percentiles, investor sentiment had a negative impact on the Bitcoin market’s collapse risk. Low sentiment increased the investors’ concern, panic, and pessimism, leading to greater downside risk in the Bitcoin price. Additionally, market liquidity played an intermediary role as investors might be more inclined to sell Bitcoin to reduce risk, thereby decreasing the liquidity.
These findings held valuable academic and practical implications for understanding the price fluctuations of the Bitcoin market and investors’ behavior. Furthermore, it was also provided insightful information for relevant market participants.
Baker, M., & Stein, J. C. (2004). Market liquidity as a sentiment indicator. Journal of Financial Markets, 7, 271–299.
Brown, G. W., & Cliff, M. T. (2004). Investor sentiment and the near-term stock market. Journal of Empirical Finance, 11.
Baker, M., & Wurgler, J. (2007). Investor sentiment and the cross-section of stock returns. The Journal of Finance, 61(4).
Balcilar , M., Bouri, E., Gupta, rangan , & Roubaud, david . (2017). Can Volume Predict Bitcoin Returns and Volatility? A Quantiles-Based Approach. Economic Modelling, Volume 64, 74–81
Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of exchange or speculative assets? Journal of International Financial Markets, Institutions, and Money, 54, 177–189.
Bouteska, A., Mefteh-Wali, S., & Dang, T. (2022). Predictive power of investor sentiment for Bitcoin returns: Evidence from COVID-19 pandemic. Technological Forecasting and Social Change, 184, 121999.
Chen, J., Hong, H., & Stein, J. C. (2001). Forecasting crashes: Trading volume, past returns, and conditional skewness in stock prices. Journal of Financial Economics, 61, 345–381.
Chordia, T., Roll, R., & Subrahmanyam, A. (2008). Liquidity and market efficiency. Journal of Financial Economics, 87(2), 249-268.
Conlon, T., Corbet, S., & McGee, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98.
Conlon, T., Corbet, S., & McGee, R. J. (2020). Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic. Research in International Business and Finance, 54.
Debata, D., Ghate, K., & Renganathan, J. (2018). COVID-19 pandemic sentiment and stock market behavior: Evidence from an emerging market. Review of Behavioral Finance, 15.
Edmans, A., Fang, V. W., & Zur, E. (2013). The effect of liquidity on governance. Review of Financial Studies, 26(6), 1443-1482.
Fabozzi, F. J., Oliphant, B. J., & Ma, K. C. (2004). Sin stock returns. The Journal of Portfolio Management, 11.
Gandal, N., Hamrick, J. T., Moore, T., & Oberman, T. (2018). Price manipulation in the Bitcoin ecosystem. Journal of Monetary Economics, 95, 86–96.
Giachanou, A., & Crestani, F. (2016). Like it or not: A survey of Twitter sentiment analysis methods. ACM Journals, 49.
Goyenko, R. Y., Holden, C. W., & Trzcinka, C. A. (2009). Do liquidity measures measure liquidity? Journal of Financial Economics, 92(2), 153-181.
Grossman, S. J., & Stiglitz, J. E. (1980). On the impossibility of informationally efficient markets. The American Economic Review, 70(3), 393-408.
Hong, H., & Stein, J. C. (2003). Differences of opinion, short-sales constraints, and market crashes. The Review of Financial Studies, 16, 487–525.
Holmström, B., & Tirole, J. (1993). Market liquidity and performance monitoring. Journal of Political Economy, 678-709.
Huijie Cui & Yanan Zhang (2020) Does investor sentiment affect stock price crash risk?, Applied Economics Letters, 27:7, 564-568,
Kliber, A., Marszałek, P., Musiałkowska, I., & Świerczyńska, K. (2019). Bitcoin: Safe haven, hedge, or diversifier? Perception of Bitcoin in the context of a country's economic situation — A stochastic volatility approach. Physica A: Statistical Mechanics and Its Applications, 524.
Kraaijeveld, O., & Smedt, J. D. (2019). The predictive power of public Twitter sentiment for forecasting cryptocurrency prices. Journal of International Financial Markets, Institutions, and Money, 65.
Kristoufek, L. (2013). BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era. Scientific Reports, 4.
Kyle, A. S. (1985). Continuous auctions and insider trading. Econometrica: Journal of the Econometric Society, 1315-1335.
Maug, E. (1998). Large shareholders as monitors: is there a trade-off between liquidity and control? The Journal of Finance, 53(1), 65-98.
Norli, C., Ostergaard, C., & Schindele, I. (2015). Liquidity and shareholder activism. Review of Financial Studies, 28(2), 486-520.
Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Decentralized Business Review.
Shleifer, A., & Vishny, R. W. (1986). Large shareholders and corporate control. The Journal of Political Economy, 461-488.
Smales, L. A. (2022). Investor attention in cryptocurrency markets. International Review of Financial Analysis, 79.
Urquhart, A. (n.d.). Price clustering in Bitcoin. Economics Letters, 159, 145–148.
Urquhart, A., & Zhang, H. (2019). Is Bitcoin a hedge or safe haven for currencies? An intraday analysis. International Review of Financial Analysis, 63, 49–57.
Yelowitz, A., & Wilson, M. (2015). Characteristics of Bitcoin users: An analysis of Google search data. Applied Economics Letters, 22.
Chordia, T., Roll, R., & Subrahmanyam, A. (2008). Liquidity and market efficiency. Journal of Financial Economics, 87(2), 249-268.
Edmans, A., Fang, V. W., & Zur, E. (2013). The effect of liquidity on governance. Review of Financial Studies, 26(6), 1443-1482.
Goyenko, R. Y., Holden, C. W., & Trzcinka, C. A. (2009). Do liquidity measures measure liquidity? Journal of Financial Economics, 92(2), 153-181.
Grossman, S. J., & Stiglitz, J. E. (1980). On the impossibility of informationally efficient markets. The American Economic Review, 70(3), 393-408.
Holmström, B., & Tirole, J. (1993). Market liquidity and performance monitoring. Journal of Political Economy, 678-709.
Kyle, A. S. (1985). Continuous auctions and insider trading. Econometrica: Journal of the Econometric Society, 1315-1335.
Maug, E. (1998). Large shareholders as monitors: is there a trade-off between liquidity and control? The Journal of Finance, 53(1), 65-98.
Norli, C., Ostergaard, C., & Schindele, I. (2015). Liquidity and shareholder activism. Review of Financial Studies, 28(2), 486-520.
Shleifer, A., & Vishny, R. W. (1986). Large shareholders and corporate control. The Journal of Political Economy, 461-488.