Machine News and Volatility: The Dow Jones Industrial Average and the TRNA Real-Time High-Frequency Sentiment Series
暂无分享,去创建一个
[1] Daniel B. Nelson. CONDITIONAL HETEROSKEDASTICITY IN ASSET RETURNS: A NEW APPROACH , 1991 .
[2] Richard D. F. Harris,et al. A simplified approach to modeling the co‐movement of asset returns , 2007 .
[3] N. Sinha,et al. Underreaction to News in the US Stock Market , 2010 .
[4] News Beta: Factoring Sentiment Risk into Quant Models , 2016 .
[5] R. Engle,et al. GARCH 101: An Introduction to the Use of Arch/Garch Models in Applied Econometrics , 2001 .
[6] T. Ouarda,et al. Generalized autoregressive conditional heteroscedasticity modelling of hydrologic time series , 2012 .
[7] Nikolaus Hautsch,et al. When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions , 2011 .
[8] M. McAleer,et al. An entropy-based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series , 2016 .
[9] Dan diBartolomeo,et al. Making covariance-based portfolio risk models sensitive to the rate at which markets reflect new information , 2005 .
[10] H. Barger. The General Theory of Employment, Interest and Money , 1936, Nature.
[11] Wang Ming-zhao. Investor Sentiment and the Cross-Section of Stock Returns , 2009 .
[12] J. Keynes,et al. The General Theory of Employment, Interest and Money. , 1936 .
[13] Brad M. Barber,et al. All that Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors , 2006 .
[14] Sofus A. Macskassy,et al. More than Words: Quantifying Language to Measure Firms' Fundamentals the Authors Are Grateful for Assiduous Research Assistance from Jie Cao and Shuming Liu. We Appreciate Helpful Comments From , 2007 .
[15] Marc Oliver Rieger,et al. Volatility asymmetry, news, and private investors , 2012 .
[16] Christof Weinhardt,et al. Public information in fragmented markets , 2012 .
[17] G. Mitra,et al. Equity Portfolio Risk (Volatility) Estimation Using Market Information and Sentiment , 2008 .
[18] R. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .
[19] L. Smales,et al. News Sentiment in the Gold Futures Market , 2013 .
[20] L. Glosten,et al. On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks , 1993 .
[21] Daniel R. Smith,et al. News Sentiment and Momentum I , 2013 .
[22] Chenchuramaiah T. Bathala. Giving Content to Investor Sentiment: The Role of Media in the Stock Market , 2007 .
[23] David Leinweber,et al. Relating news analytics to stock returns , 2012 .
[24] M. McAleer,et al. Daily market news sentiment and stock prices , 2015, Applied Economics.
[25] Zhi Da,et al. In Search of Attention , 2009 .
[26] M. McAleer. Automated Inference and Learning in Modelling Financial Volatility * , 2004 .
[27] G. Mitra,et al. The handbook of news analytics in finance , 2011 .
[28] Svetlana Borovkova,et al. News, volatility and jumps: the case of natural gas futures , 2013 .