Information Systems and Stock Return Volatility
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[1] R. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .
[2] Kenneth L. Kraemer,et al. Information technology and economic performance , 2003, ACM Comput. Surv..
[3] Thomas K. Landauer,et al. The trouble with computers , 1995 .
[4] Izak Benbasat,et al. Evaluating the Impact of DSS, Cognitive Effort, and Incentives on Strategy Selection , 1999, Inf. Syst. Res..
[5] Kimberly D. Elsbach,et al. The Effects of Mood on Individuals' Use of Structured Decision Protocols , 1999 .
[6] E. Brynjolfsson,et al. Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending , 1996 .
[7] Αικατερίνη Ανδρεοπούλου,et al. Have individual stocks become more volatile : an empirical exploration of idiosyncratic risk , 2010 .
[8] Robert Savickas,et al. Event‐Induced Volatility and Tests for Abnormal Performance , 2003 .
[9] Rajiv D. Banker,et al. The new productivity paradox , 2003, Commun. ACM.
[10] David Pettifer,et al. CFO: architect of the corporation's future , 1997 .
[11] Christopher G. Lamoureux,et al. Endogenous Trading Volume and Momentum in Stock-Return Volatility , 1994 .
[12] E. Fama,et al. Risk, Return, and Equilibrium: Empirical Tests , 1973, Journal of Political Economy.
[13] E. Bodt,et al. Event studies with a contaminated estimation period , 2007 .
[14] J. Edward Russo,et al. A Pyramid of Decision Approaches , 1993 .
[15] E. Brynjolfsson,et al. Beyond Computation: Information Technology, Organizational Transformation and Business Performance , 2000 .
[16] M. Kathryn Brohman,et al. The business intelligence value chain: data-driven decision support in a data warehouse environment: an exploratory study , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.
[17] Efraim Turban,et al. Business Intelligence: Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures , 2013 .
[18] Erik Brynjolfsson,et al. The productivity paradox of information technology , 1993, CACM.
[19] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[20] M. Lettau,et al. Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk , 2000 .
[21] Erik Dane,et al. Exploring Intuition and its Role in Managerial Decision Making , 2007 .
[22] Vernon J. Richardson,et al. The Value Relevance of Announcements of Transformational Information Technology Investments , 2003, MIS Q..
[23] Matteo Golfarelli,et al. Beyond data warehousing: what's next in business intelligence? , 2004, DOLAP '04.
[24] E. Brynjolfsson,et al. Information Technology As A Factor Of Production: The Role Of Differences Among Firms , 1995 .
[25] Nils Rasmussen,et al. Financial business intelligence : trends, technology, software selection, and implementation/ Nils Rasmussen, Paul S. Goldy and Per O. Solli , 2002 .
[26] P. Perrewé,et al. Managerial decision-making under crisis: The role of emotion in an intuitive decision process , 2004 .
[27] Grant R. Mcqueen,et al. Whence GARCH? A Preference-Based Explanation for Conditional Volatility , 2003 .