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研究生:王雲生
研究生(外文):WANG, YUN-SHENG
論文名稱:樂透型股票未來報酬的可預測性
論文名稱(外文):Can we predict the future return of lottery-like stocks?
指導教授:余歆儀余歆儀引用關係
指導教授(外文):YU, HSIN-YI
口試委員:陳立文余歆儀黃旭輝
口試委員(外文):CHEN, LI-WENYU, HSIN-YIHUANG, HSU-HUEI
口試日期:2019-05-28
學位類別:碩士
校院名稱:國立高雄大學
系所名稱:金融管理學系碩士班
學門:商業及管理學門
學類:財務金融學類
論文種類:學術論文
論文出版年:2019
畢業學年度:107
語文別:中文
論文頁數:59
中文關鍵詞:樂透型股票報酬偏態報酬波動度股價賭博心理個別投資人偏好投資人關注
外文關鍵詞:Lottery-like stocksSkewnessVolatilityPriceGamblingIndividual investor preferenceInvestor attention
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  • 下載下載:34
  • 收藏至我的研究室書目清單書目收藏:0
過去的研究證明投資人偏好具有樂透型報酬的資產,並且發現賭博和投機對資產報酬的潛在影響,本研究以台灣市場為樣本,探討樂透型股票的特徵和未來報酬之間的關係。實證結果發現,在台灣的股票市場中,樂透型股票並未被過度訂價,其未來報酬顯著為正,投資人可以藉由買入樂透型股票並賣出非樂透型股票來獲利。而分別探討各個特徵時,只有股價 (Price)對未來報酬有顯著的負向預測能力,Price越低,未來報酬越高,並且Price對未來報酬的負向預測能力在市值低的股票中會更顯著。報酬偏態 (MAX)和報酬波動度 (VOL) 則不具有單獨預測未來報酬的能力,MAX只有在月營收低的股票會對股票報酬有負向預測能力,VOL只有在股價低的股票會對股票報酬有正向預測能力。此外,本研究也進一步發現,在投資人關注度低的股票中,樂透型股票的未來報酬顯著高於非樂透型股票,其中VOL越大,未來報酬越高;Price則是越小未來報酬會越高;而MAX在投資人關注度低的股票則不具有預測能力。
Previous studies have confirmed that investors prefer assets with lottery-like payoffs and discover the potential impact of gambling and speculation on stock returns. In this study, we use Taiwan’s evidence to investigate the relationship between the characteristics of lottery-like stocks and future returns. We find that lottery-like stocks aren’t overpriced in Taiwan and their future returns are significant positive. Investors can earn profit by buying lottery-like stocks and selling non-lottery-like stocks. When discussing each characteristic separately, only Price has a significant negative predictive ability for future returns. The lower the price is, the higher the future returns will be. And this predictive ability is more significant in stocks with low market capitalization. While Skewness (MAX) and Volatility (VOL) do not have the ability to predict future returns alone. Only for stocks with low monthly sales can let MAX predict future returns with negative correlation, and only for stocks with low price can make VOL predict future returns with positive correlation. In addition, this study finds that among stocks with low investor attention, VOL and Price can significantly predict future returns. The larger the VOL, the higher the future returns. The smaller the price, the more the future returns will be. While MAX does not have predictive ability in stocks with low investor attention.
表目錄 ii
圖目錄 iii
第一章 緒論 1
第二章 資料與研究方法 7
第一節 資料來源 7
第二節 資料頻率 7
第三節 資料描述 7
一、 主要變數 7
二、 次要變數 9
第四節 樣本調整 9
一、 時間平移 9
二、 回溯 10
第五節 研究方法 11
一、 資產組合 11
二、 迴歸分析 12
第三章 實證結果 13
第一節 樣本敘述 13
第二節 偏態 (MAX) 對於橫斷面股票報酬的影響 16
第三節 波動度 (VOL) 對於橫斷面股票報酬的影響 25
第四節 股價 (Price) 對於橫斷面股票報酬的影響 34
第五節 樂透型股票特徵對於橫斷面股票報酬的影響 43
第四章 結論 48
參考文獻 50
Ang, A., Hodrick, R. J., Xing, Y., and Zhang, X. (2006). The cross‐section of volatility and expected returns. Journal of Finance, 61(1), 259-299.
Ang, A., Hodrick, R. J., Xing, Y., and Zhang, X. (2009). High idiosyncratic volatility and low returns: International and further US evidence. Journal of Financial Economics, 91(1), 1-23.
Annaert, J., De Ceuster, M., and Verstegen, K. (2013). Are extreme returns priced in the stock market? European evidence. Journal of Banking and Finance, 37(9), 3401-3411.
Bali, T. G., Cakici, N., and Whitelaw, R. F. (2011). Maxing out: Stocks as lotteries and the cross-section of expected returns. Journal of Financial Economics, 99(2), 427-446.
Barber, B. M., Lee, Y.-T., Liu, Y.-J., and Odean, T. (2008). Just how much do individual investors lose by trading? Review of Financial Studies, 22(2), 609-632.
Barber, B. M., and Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. Journal of Finance, 55(2), 773-806.
Barberis, N., and Huang, M. (2008). Stocks as lotteries: The implications of probability weighting for security prices. American Economic Review, 98(5), 2066-2100.
Boyer, B., Mitton, T., and Vorkink, K. (2009). Expected idiosyncratic skewness. Review of Financial Studies, 23(1), 169-202.
Chan, Y.-C., and Chui, A. C. (2016). Gambling in the Hong Kong stock market. International Review of Economics and Finance, 44(14), 204-218.
Downs, T. W., and Quan, W. (2001). Is there a lottery premium in the stock market? Journal of Portfolio Management, 28(1), 112-119.
Fong, W. M., and Toh, B. (2014). Investor sentiment and the MAX effect. Journal of Banking and Finance, 46(14), 190-201.
Friedman, M., and Savage, L. J. (1948). The utility analysis of choices involving risk. Journal of Political Economy, 56(4), 279-304.
Gao, X., and Lin, T.-C. (2014). Do individual investors treat trading as a fun and exciting gambling activity? Evidence from repeated natural experiments. Review of Financial Studies, 28(7), 2128-2166.
Garrett, T. A., and Sobel, R. S. (1999). Gamblers favor skewness, not risk: Further evidence from United States’ lottery games. Economics Letters, 63(1), 85-90.
Gompers, P. A., and Metrick, A. (2001). Institutional investors and equity prices. Quarterly Journal of Economics, 116(1), 229-259.
Graham, J. R., and Kumar, A. (2006). Do dividend clienteles exist? Evidence on dividend preferences of retail investors. Journal of Finance, 61(3), 1305-1336.
Han, B., and Kumar, A. (2013). Speculative retail trading and asset prices. Journal of Financial and Quantitative Analysis, 48(2), 377-404.
Kumar, A. (2009). Who gambles in the stock market? Journal of Finance, 64(4), 1889-1933.
Kumar, A., and Lee, C. M. (2006). Retail investor sentiment and return comovements. Journal of Finance, 61(5), 2451-2486.
Kumar, A., Page, J. K., and Spalt, O. G. (2011). Religious beliefs, gambling attitudes, and financial market outcomes. Journal of Financial Economics, 102(3), 671-708.
Lin, T.-C., and Liu, X. (2017). Skewness, individual investor preference, and the cross-section of stock returns. Review of Finance, 22(5), 1841-1876.
Markowitz, H. (1952). Portfolio selection. Journal of Finance, 7(1), 77-91.
Nartea, G. V., Wu, J., and Liu, H. T. (2014). Extreme returns in emerging stock markets: evidence of a MAX effect in South Korea. Applied Financial Economics, 24(6),   425-435.
Statman, M. (2002). Lottery players/stock traders. Financial Analysts Journal, 58(1), 14-21.
Thaler, R. H., and Ziemba, W. T. (1988). Anomalies: Parimutuel betting markets: Racetracks and lotteries. Journal of Economic Perspectives, 2(2), 161-174.
Tversky, A., and Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297-323.
Walker, I., and Young, J. (2001). An economist’s guide to lottery design. Economic Journal, 111(475), 700-722.
Walkshäusl, C. (2014). The MAX effect: European evidence. Journal of Banking and Finance, 42(1), 1-10.
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