摘要(英) |
As the coffee futures market is a very speculative market, this study examines how various investor sentiment measures affect the returns on coffee futures. Specifically, this thesis explores how the trading of professional institutional investors and individual investors affect the coffee futures prices from the behavioral finance perspective.
Using the Consensus Bullish Sentiment Index as an institutional investor sentiment indicator, the empirical evidence indicates that professional institutional investors are optimistic about the futures prices, the following will also rise, which means that institutional investors are smart investors. On the contrary, various individual investor sentiment indicators (i.e., MCSI, BW, CCI) are negatively correlated with coffee futures prices, suggesting that individual investors are irrational noise traders. |
參考文獻 |
一、英文文獻
[1] Baker, M. and J. Wurgler. (2006). Investor Sentiment and the Cross-Section of Stock
Returns. Journal of Finance, Vol. 61, Issue. 4, August 2006, pp. 1645-1680.
[2] Baker, M. and J. Wurgler. (2007). Investor Sentiment in the Stock Market. Journal of
Economic Perspectives¬, Vol. 21, No. 2, Spring 2007, pp. 129-151.
[3] Bangnoli, Mark., Clement, Michael B., Crawley, Michael J., and Watts, Susan G. (July 3
2009). The Relative Profitability of Analysts′ Stock Recommendations: What Role Does
[4] Barberis, Nicholas., Andrei, Shleifer., and Robert, Vishny. (1998). A Model of Investor
Sentiment. Journal of Financial Economics 49, pp. 307-343.
[5] Fisher, L.,& Statman, M. (2000). Investor Sentiment and Stock Returns. Financial
Analysts Journal, 56(2), 16-23.
[6] Goldstein, Michael (2012), The Trends of Coffee Futures. Babson College, Financial
Markets and Instruments.
[7] Gregory W. Brown, Michael T. Cliff.(2002). Investor sentiment and the near-term stock
market. Journal of Empirical Finance 11(2004), 1-27.
[8] Hribar and McInnis (2012). Investor Sentiment and Analysts′ Earnings Forecast Errors.
Management Science, Vol. 58, No.2, February 2012, pp. 293-307.
[9] Joseph, K., Wintoki, M. B., & Zhang, Z. (2011). Forecasting abnormal stock returns and
trading volume using investor sentiment: Evidence from online search. International
Journal of Forecasting, 27(4), 1116-1127.
[10] Marshall,F.C (1983),The World Coffee Trade-A Guide to the Production, Trading and
Consumption of Coffee. St Edmundsbury Press, Cambridge.
[11] Neal, R., & Wheatley, S. M. (1998). Do measures of investor sentiment predict returns?.
Journal of Financial and Quantitative Analysis, 33(04), 523-547.
[12] Qiu, L., & Welch, I. (2004). Investor sentiment measures (No. w10794). National
Bureau of Economic Research.
[13] Pin-Huang Chou, Chia-Hsun Hsieh, Carl Hsin-Han Shen (2016). What explains the
orange juice puzzle: Sentiment, Smart money, or fundamentals? Journal of Financial
Markets 29 47-65
[14] Robert A. Olsen. Behavioral finance and its implications for stock-price volatilety.
Financial Analysts Journal (1998),10-18.
[15] Schmeling, M. (2007). Institutional and individual sentiment: Smart money and noise
trader risk?. International Journal of Forecasting, 23(1), 127-145.
一、中文文獻
1. 蔡承芳(2013):「探討情緒指標對柳橙汁期貨報酬的影響」,國立中央大學財務金融研
究所碩士論文。
3. 張佩瑜(2012) :「天氣變化與投資人情緒之相關性」,樹德科技大學金融與風險管理
研究所碩士論文。
4. 孫佩君(2014) :「情緒指標對黃金期貨價格的影響」,國立中央大學財務金融研究所
碩士論文。
5. 謝昌儒(2016) :「機構與個別投資人情緒指標對黃金價格之影響」,國立中央大學財
務金融研究所碩士論文。
6. 林文勝(2015) :「不同投資期限下投資人情緒與股票市場報酬之關係」,世新大學財
務金融研究所碩士論文。
7. 曹毓珊(2014) :「投資人情緒對分析師盈餘預測偏誤之影響」,國立中央大學企業管
理研究所碩士論文。
8. 周賓凰、池祥萱、周冠男、龔怡霖: <行為財務學:文獻回顧與展望>,證券市場發展季刊,14:2 , P1-P48 (2002)。
9. 戴錦周: <全球咖啡市場及其期貨基差預測之研究>,明新學報,第20期 ,頁163-P171 民87.05。
10. 廖千慧: <高度投機商品- 咖啡期貨>,國際投資月刊,民94.08,頁8-9。
11. 王儷容: <制度性干預對期貨交易之影響-以巴西咖啡期貨為例>,證券市場發展季刊,7:3=27 民84.07 頁41-62。 |