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引文資料
題名:
Can Economic News Predict Taiwan Stock Market Returns?
書刊名:
Asia Pacific Management Review
作者:
Wu, George Guan-ru
/
Hou, Tony Chieh-tse
/
Lin, Jin-lung
出版日期:
2019
卷期:
24:1
頁次:
頁54-59
主題關鍵詞:
News
;
Text mining
;
Stock market sentiment
;
Macroeconomic factors
原始連結:
連回原系統網址
相關次數:
被引用次數:期刊(
2
) 博士論文(0) 專書(0) 專書論文(0)
排除自我引用:
2
共同引用:0
點閱:6
期刊論文
1.
García, Diego(2013)。Sentiment during recessions。The Journal of Finance,68(3),1267-1300。
2.
Cheung, Yin-Wong、Ng, Lilian Kheng(1998)。International Evidence on the Stock Market and Aggregate Economic Activity。Journal of Empirical Finance,5(3),281-296。
3.
Bollen, Johan、Mao, Huina、Zeng, Xiaojun(2011)。Twitter mood predicts the stock market。Journal of Computational Science,2(1),1-8。
4.
Lerman, A.、Livnat, J.(2010)。The new Form 8-K disclosures。Review of Accounting Studies,15(4),752-778。
5.
Loughran, Tim、McDonald, Bill(2011)。When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks。The Journal of Finance,66(1),35-65。
6.
Tetlock, Paul C.、Saar-Tsechansky, Maytal、Macskassy, Sofus(2008)。More than words: Quantifying language to measure firms' fundamentals。The Journal of Finance,63(3),1437-1467。
7.
Fama, Eugene F.(1981)。Stock Returns, Real Activity, Inflation, and Money。The American Economic Review,71(4),545-565。
8.
Chen, H.、De, P.、Hu, Y.、Hwang, B.-H.(2014)。Wisdom of crowds: The value of sock opinions transmitted through social media。Review of Financial Studies,27(5),1367-1403。
9.
Jegadeesh, N.、Wu, D.(2013)。Word power: A new approach for content analysis。Journal of Financial Economics,110(3),712-729。
10.
Sharpe, S. A.(2002)。Reexamining stock valuation and inflation: The implications of analyst's earning forecast。The Review of Economics and Statistics,84(4),632-648。
11.
Narayan, P. K.、Bannigidadmath, D.(2015)。Does financial news predict stock returns? New evidence from Islamic and non-Islamic stocks。Pacific-Basin Finance Journal,35,367-380。
12.
Chen, Nai-fu、Roll, Richard、Ross, Stephen A.(1986)。Economic Forces and the Stock Market。Journal of Business,59(3),383-403。
13.
Flannery, M. J.、Protopapadakis, A. A.(2002)。Macroeconomic Factors Do Influence Aggregate Stock Returns。The Review of Financial Studies,15(3),751-782。
14.
Ratanapakorn, O.、Sharma, S. C.(2007)。Dynamic analysis between the US stock returns and the macroeconomic variables。Applied Financial Economics,17(5),369-377。
15.
Dougal, Casey、Engelberg, Joseph、Garcia, Diego、Parsons, Christopher A.(2012)。Journalists and the stock market。The Review of Financial Studies,25(3),639-679。
16.
Tetlock, Paul C.(2007)。Giving content to investor sentiment: The role of media in the stock market。The Journal of Finance,62(3),1139-1168。
17.
Lo, Andrew W.、MacKinlay, A. Craig(1990)。When Are Contrarian Profits Due to Stock Market Overreaction?。The Review of Financial Studies,3(2),175-205。
18.
Fama, Eugene F.(1970)。Efficient Capital Markets: A Review of Theory and Empirical Work。The Journal of Finance,25(2),383-417。
會議論文
1.
Mittermayer, M.-A.(2004)。Forecasting intraday stock price trends with text mining techniques。The 37th Annual Hawaii International Conference on System Sciences,IEEE 64-73。
2.
Lavrenko, V.、Schmill, M.、Lawrie, D.、Ogilvie, P.、Jensen, D.、Allan, J.(2000)。Mining of concurrent text and time series。The 6th International Conference on Knowledge Discovery and Data mining,37-44。
研究報告
1.
Boudoukh, J.、Feldman, R.、Kogan, S.、Richardson, M.(2013)。Which news moves stock prices? A textual analysis。National Bureau of Economic Research, Inc.。
2.
Bordo, M. D.、Dueker, M. J.、Wheelock, D. C.(2009)。Inflation, monetary policy and stock market conditions: Quantitative evidence from a hybrid latent-variable VAR。Federal Reserve Bank of St. Louis。
3.
Dzielinski, M.、Hasseltoft, H.(2013)。Aggregate news tone, stock returns and volatility。University of Zurich:Swiss Finance Institute。
4.
Mittermayer, M. A.、Knolmayer, G. F.(2006)。Text mining systems for market response to news: A survey。Institute of Information Systems University of Bern。
圖書論文
1.
Ferson, W.(2007)。Market efficiency and forecasting。Forecasting expected returns in the financial markets。Elsevier Academic Press。
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