Book contents
- Frontmatter
- Dedication
- Contents
- List of Figures
- List of Tables
- Preface
- Acknowledgments
- PART I NOVELTY, NARRATIVES, AND INSTABILITY
- PART II NEWS ANALYTICS AS A WINDOW INTO STOCK MARKET INSTABILITY
- PART III EMPIRICAL EVIDENCE FOR THE NOVELTY-NARRATIVE HYPOTHESIS
- Appendix A R Code for Bloomberg News Word Cloud and Histogram
- Appendix B The Bloomberg News KU Stock Market Project
- Appendix C RavenPack Terms for Event Output Record
- Appendix D Unscheduled Events from RavenPack
- Bibliography
- Index
- References
Bibliography
Published online by Cambridge University Press: 23 September 2021
Book contents
- Frontmatter
- Dedication
- Contents
- List of Figures
- List of Tables
- Preface
- Acknowledgments
- PART I NOVELTY, NARRATIVES, AND INSTABILITY
- PART II NEWS ANALYTICS AS A WINDOW INTO STOCK MARKET INSTABILITY
- PART III EMPIRICAL EVIDENCE FOR THE NOVELTY-NARRATIVE HYPOTHESIS
- Appendix A R Code for Bloomberg News Word Cloud and Histogram
- Appendix B The Bloomberg News KU Stock Market Project
- Appendix C RavenPack Terms for Event Output Record
- Appendix D Unscheduled Events from RavenPack
- Bibliography
- Index
- References
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- How Novelty and Narratives Drive the Stock MarketBlack Swans, Animal Spirits and Scapegoats, pp. 391 - 408Publisher: Cambridge University PressPrint publication year: 2021
References
Abolafia, M. 1996. Making Markets: Opportunism and Restraint on Wall Street. Harvard University Press.Google Scholar
Adam, K. and Marcet, A. 2011. Internal Rationality, Imperfect Market Knowledge and Asset Prices. Journal of Economic Theory, 146(3), 1224–1252.CrossRefGoogle Scholar
Adam, K., Marcet, A., and Nicolini, J. P. 2015. Stock Market Volatility and Learning. Journal of Finance, 71(1), 33–82.Google Scholar
Akerlof, G. A. and Snower, D. J. 2016. Bread and Bullets. Journal of Economic Behavior & Organization, 126(B), 58–71.Google Scholar
Albrecht, K., Volz, K. G., Sutter, M., Laibson, D. I., and von Cramon, D. Y. 2010. What Is for Me Is Not for You: Brain Correlates of Intertemporal Choice for Self and Other. Social Cognitive and Affective Neuroscience, 6(2), 218–225.Google Scholar
Aliber, R. Z. and Kindleberger, C. P. 2015. Manias, Panics and Crashes: A History of Financial Crises. Palgrave Macmillan.Google Scholar
Allen, F., Morris, S., and Shin, H. S. 2006. Beauty Contests and Iterated Expectations in Asset Markets. Review of Financial Studies, 19(3), 719–752.CrossRefGoogle Scholar
Andersen, T., Bollerslev, T., Diebold, F., and Vega, C. 2007. Real-Time Price Discovery in Global Stock, Bond and Foreign Exchange Markets. CREATES Research Paper, No. 2007–20.Google Scholar
Anderson, C. A. 2004. An Update on the Effects of Playing Violent Video Games. Journal of Adolescence, 27(1), 113–122.Google Scholar
Andreassen, P. B. 1987. On the Social Psychology of the Stock Market: Aggregate Attributional Effects and the Regressiveness of Prediction. Journal of Personality and Social Psychology, 53(3), 490–496.CrossRefGoogle Scholar
Ang, A. and Bekaert, G. 2007. Stock Return Predictability: Is It There? Review of Financial Studies, 20(3), 651–707.CrossRefGoogle Scholar
Ang, A. and Timmermann, A. 2012. Regime Changes and Financial Markets. Annual Review of Financial Economics, 4(1), 313–327.CrossRefGoogle Scholar
Antweiler, W. and Frank, M. Z. 2005. Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards. Journal of Finance, 59(3), 1259–1294.CrossRefGoogle Scholar
Aspinwall, L. G. 1998. Rethinking the Role of Positive Affect in Self-Regulation. Motivation and Emotion, 22(1), 1–32.Google Scholar
Avramov, D. and Chordia, T. 2006. Asset Pricing Models and Financial Market Anamolies. Review of Financial Studies, 19(3), 1001–1040.Google Scholar
Bacchetta, P. and van Wincoop, E. 2004. A Scapegoat Model of Exchange Rate Determination. American Economic Review, Papers and Proceedings, 94(2), 114–118.Google Scholar
Bacchetta, P. and van Wincoop, E. 2006. Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle? American Economic Review, 96(3), 552–576.CrossRefGoogle Scholar
Bacchetta, P. and van Wincoop, E. 2009. On the Unstable Relationship between Exchange Rates and Macroeconomic Fundamentals. NBER Working Paper, No. 15008.Google Scholar
Bacchetta, P. and van Wincoop, E. 2013. On the Unstable Relationship between Exchange Rates and Macroeconomic Fundamentals. Journal of International Economics, 91(1), 18–26.Google Scholar
Baek, C. 2016. Stock Prices, Dividends, Earnings, and Investor Sentiment. Review of Quantitative Finance and Accounting, 47, 1043–1061.CrossRefGoogle Scholar
Bai, J. and Perron, P. 1998. Estimating and Testing Linear Models with Multiple Structural Changes. Econometrica, 66(1), 47–78.CrossRefGoogle Scholar
Bai, J. and Perron, P. 2003. Computation and Analysis of Multiple Structural Change Models. Journal of Applied Econometrics, 18(1), 1–22.Google Scholar
Baker, M. and Wurgler, J. 2006. Investor Sentiment and the Cross-Section of Stock Returns. Journal of Finance, 61(4), 1645–1680.Google Scholar
Baker, M. and Wurgler, J. 2007. Investor Sentiment in the Stock Market. Journal of Economic Perspectives, 21(2), 129–151.Google Scholar
Baker, S. R., Bloom, N., and Davis, S. J. 2016. Measuring Economic Policy Uncertainty. Quarterly Journal of Economics, 131(4), 1593–1636.Google Scholar
Baker, S. R., Bloom, N., Davis, S., and Sammon, N. 2019. What Triggers Stock Market Jumps? University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2021–42.Google Scholar
Bal, M. 1997. Narratology: Introduction to the Theory of Narrative, 3rd ed. University of Toronto Press.Google Scholar
Bandelj, N. 2009. Emotions in Economic Action and Interaction. Theory and Society, 38(4), 347–366.Google Scholar
Bao, Y. and Datta, A. 2014. Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures. Management Science, 60(6), 1351–1616.Google Scholar
Bar-On, R. and Parker, J. D. A. 2000. Handbook of Emotional Intelligence. Jossey-Bass.Google Scholar
Barberis, N., Shleifer, A., and Vishny, R. 1998. A Model of Investor Sentiment. Journal of Financial Economics, 49(3), 307–343.Google Scholar
Barberis, N. and Thaler, R. 2003. A Survey of Behavioral Finance. In Constantinides, G. M., Harris, M., and Stulz, R. (eds.), Handbook of the Economics of Finance. Elsevier, 1051–1121.Google Scholar
Barro, R. J. 2006. Rare Disasters and Asset Markets in the Twentieth Century. Quarterly Journal of Economics, 121(3), 823–866.Google Scholar
Barsky, R. B. and de Long, J. B. 1993. Why Does the Stock Market Fluctuate? Quarterly Journal of Economics, 108(2), 291–311.Google Scholar
Bekaert, G., Hoerova, M., and Lo Duca, M. 2013. Risk, Uncertainty and Monetary Policy. Journal of Monetary Economics, 60(7), 771–788.Google Scholar
Berezin, M. 2005. Emotions and the Economy. In Smelser, N. J. and Swedberg, R. (eds.), The Handbook of Economic Sociology. Princeton University Press, 109–130.Google Scholar
Bewley, T. F. 1986. Knightian Decision Theory: Part I. Cowles Foundation Discussion Paper, No. 807.Google Scholar
Bewley, T. F. 1987. Knightian Decision Theory: Part II: Intertemporal Problems. Cowles Foundation Discussion Paper, No. 835.Google Scholar
Birz, G. 2017. Stale Economic News, Media and the Stock Market. Journal of Economic Psychology, 61, 87–102.CrossRefGoogle Scholar
Bittlingmayer, G. 1998. Output, Stock Volatility, and Political Uncertainty in a Natural Experiment: Germany, 1880–1940. Journal of Finance, 53(6), 2243–2257.Google Scholar
Blaug, M. 1975. Kuhn versus Lakatos, or Paradigms versus Research Programmes in the History of Economics. History of Political Economy, 7(4), 399–433.Google Scholar
Bloom, N. 2014. Fluctuations in Uncertainty. Journal of Economic Perspectives, 28(2), 153–176.Google Scholar
Bodnaruk, A., Loughran, T., and McDonald, B. 2015. Using 10-K Text to Gauge Financial Constraints. Journal of Financial and Quantitative Analysis, 50(4), 623–646.Google Scholar
Bohl, M. T. and Siklos, P. 2004. The Present Value Model of U.S. Stock Prices Redux: A New Testing Strategy and Some Evidence. Quarterly Review of Economics and Finance, 44(2), 208–223.Google Scholar
Bordalo, P., Gennaioli, N., and Shleifer, A. 2013. Salience and Asset Prices. American Economic Review: Papers and Proceedings, 103(3), 623–628.Google Scholar
Boudoukh, J., Feldman, R., Kogan, S., and Richardson, M. 2013. Which News Moves Stock Prices? A Textual Analysis. NBER Working Paper, No. 18725.Google Scholar
Boyd, J., Hu, J., and Jagannathan, R. 2005. The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks. Journal of Finance, 60(2), 649–672.Google Scholar
Brennan, M. J. 1998. The Role of Learning in Dynamic Portfolio Decisions. Review of Finance, 1(3), 295–306.Google Scholar
Brooks, P. 2006. Narrative Transactions – Does the Law Need a Narratology? Yale Journal of Law & Humanities, 18(1), 1–28.Google Scholar
Brown, K. C., Lockwood, L. J. and Lummer, S. L. 1985. An Examination of Event Dependency and Structural Change in Security Pricing Models. Journal of Financial and Quantitative Analysis, 20(3), 315–334.Google Scholar
Brown, R. L., Durbin, J., and Evans, J. M. 1975. Techniques for Testing the Constancy of Regression Relationships over Time. Journal of the Royal Statistical Society, 37(2), 149–192.Google Scholar
Caggiano, G., Castelnuovo, E., and Groshenny, N. 2014. Uncertainty Shocks and Unemployment Dynamics in U.S. Recessions. Journal of Monetary Economics, 67(C), 78–92.Google Scholar
Calvet, L. E., and Fisher, A. J. 2007. Multifrequency News and Stock Returns. Journal of Financial Economics, 86(1), 178–212.Google Scholar
Camerer, C., Loewenstein, G., and Prelec, D. 2005. Neuroeconomics: How Neuroscience Can Inform Economics. Journal of Economic Literature, 43(1), 9–64.Google Scholar
Campbell, J. L., Chen, H., Dhaliwal, D. S., Lu, H., and Steele, L. B. 2014. The Information Content of Mandatory Risk Factor Disclosures in Corporate Filings. Review of Accounting Studies, 19(1), 396–455.Google Scholar
Campbell, J. Y. and Hentschel, L. 1992. No News Is Good News: An Asymmetric Model of Changing Volatility in Stock Returns. Journal of Financial Economics, 31(3), 281–318.Google Scholar
Campbell, J. Y. and Shiller, R. J. 1987. Cointegration and Tests of Present Value Models. Journal of Political Economy, 95(5), 1062–1087.Google Scholar
Campbell, J. Y. and Thompson, S. 2008. Predicting the Equity Premium Out of Sample: Can Anything Beat the Historical Average? Review of Financial Studies, 21(4), 1509–1531.Google Scholar
Castle, J. L., Doornik, J. A. and Hendry, D. F. 2012. Model Selection When There Are Multiple Breaks. Journal of Econometrics, 169(2), 239–246.CrossRefGoogle Scholar
Castle, J. L. and Hendry, D. F. 2019. Detectives of Change: Indicator Saturation. In Modeling our Changing World. Palgrave Texts in Econometrics. Palgrave Pivot, 67–84.Google Scholar
Castle, J. L., Hendry, D. F. and Martinez, A. B. 2017. Evaluating Forecasts, Narratives and Policy Using a Test of Invariance. Economterics, 5(39), 1–27.Google Scholar
Chae, J. 2005. Trading Volume, Information Asymmetry, and Timing Information. Journal of Finance, 60(1), 413–442.Google Scholar
Chan, W. S. 2003. Stock Price Reaction to News and No-News: Drift and Reversal after Headlines. Journal of Financial Economics, 70(2), 223–260.Google Scholar
Cherniss, C., Goleman, D., Emmerling, R., Cowan, K., and Adler, M. 1998. Bringing Emotional Intelligence to the Workplace. The Consortium for Research on Emotional Intelligence in Organization, Technical Report, 1–34.Google Scholar
Chib, S. 1998. Estimation and Comparison of Multiple Change Point Models. Journal of Econometrics, 86(2), 221–241.Google Scholar
Chow, G. C. 1960. Tests of Equality between Sets of Coefficients in Two Linear Regressions. Econometrica, 28(3), 591–605.Google Scholar
Chung, K. H. and Chuwonganant, C. 2014. Uncertainty, Market Structure, and Liquidity. Journal of Financial Economics, 113(3), 476–499.CrossRefGoogle Scholar
Claessens, S., Kose, M. A., Laeven, L., and Valencia, F. (eds.) 2013. Financial Crises: Causes, Consequences, and Policy Responses. International Monetary Fund.Google Scholar
Cochrane, J. H. 2011. Presidential Address: Discount Rates. Journal of Finance, 46(4), 1047–1108.Google Scholar
Colander, D., Follmer, H., Haas, A., et al. 2009. The Financial Crisis and the Systemic Failure of Academic Economics. Kiel Institute for the World Economy Working Paper, No. 1489.Google Scholar
Crowder, W. J. and Wohar, M. E 1998. Stock Price Effects of Permanent and Transitory Shocks. Economic Inquiry, 36(4), 540–552.Google Scholar
Damasio, A. 1994. Descartes’ Error: Emotion, Reason and the Human Brain. The Hearst Corporation.Google Scholar
Das, S. R. 2014. Text and Context: Language Analytics in Finance. Foundations and Trends in Finance, 8(3), 145–260.Google Scholar
Das, S. R. and Chen, M. 2007. Yahoo for Amazon: Opinion Extraction from Small Talk on the Web. Management Science, 53(9), 1375–1388.Google Scholar
David, A. and Veronesi, P. 2009. What Ties Return Volatilities to Price Valuations and Fundamentals? University of Chicago Working Paper.Google Scholar
Davis, A. K., Piger, J. M. and Sedor, L. M. 2006. Beyond the Numbers: An Analysis of Optimistic and Pessimistic Language in Earnings Press Releases. Federal Reserve Bank of St. Louis Working Paper.Google Scholar
De Fina, A. and Georgakopoulou, A. 2012. Analyzing Narrative: Discourse and Sociolinguistic Perspectives. Cambridge University Press.Google Scholar
De Long, J. B., Shleifer, A., Summers, L. H. and Waldmann, R. J. 1990. Noise Trader Risk in Financial Markets. Journal of Political Economy, 98(4), 703–738.Google Scholar
Demers, E. and Vega, C. 2008. Soft Information in Earnings Announcements: News or Noise? International Finance Discussion Papers, Board of Governors of the Federal Reserve System, No. 951.Google Scholar
Deng, A. and Perron, P. 2008. A Non-local Perspective on the Power Properties of the CUSUM and CUSUM of Squares Tests for Structural Change. Journal of Econometrics, 142(1), 212–240.Google Scholar
Diebold, F. X., Lee, J. H., and Weinbach, G. C. 1994. Regime Switching with Time-Varying Transition Probabilities. In Hargreaves, C. (ed.), Time Series Analysis and Cointegration. Oxford University Press, 283–302.Google Scholar
DiMaggio, P. 2002. Endogenizing “Animal Spirits”: Toward a Sociology of Collective Response to Uncertainty and Risk. In Guillen, M. F., Collins, R., England, P., and Meyer, M. (eds.), The New Economic Sociology: Developments in an Emerging Field. Russell Sage Foundation, 79–100.Google Scholar
Doornik, J. A. 2009. Autometrics. In Castle, J. and Shephard, N. (eds.), The Methodology and Practice of Econometrics. Oxford University Press, 88–121.Google Scholar
Dow, S. 2011. Cognition, Market Sentiment and Financial Instability. Cambridge Journal of Economics, 35(2), 233–249.Google Scholar
Driffill, J. and Sola, M. 1998. Intrinsic Bubbles and Regime-Switching. Journal of Monetary Economics, 42(2), 357–373.Google Scholar
Duranti, A. 1992. Rethinking Context: Language as an Interactive Phenomenon. Cambridge University Press.Google Scholar
Durland, J. M., and McCurdy, T. H. 1994. Duration-Dependent Transitions in a Markov Model of U.S. GNP Growth. Journal of Business and Economic Statistics, 12(3), 279–288.Google Scholar
Durre, A. and Giot, P. 2005. An International Analysis of Earnings, Stock Prices, and Bond Yields. European Central Bank Working Paper Series, No. 515.Google Scholar
Ellsberg, D. 1961. Risk, Ambiguity, and the Savage Axioms. Quarterly Journal of Economics, 75(4), 643–669.Google Scholar
Engel, R. F. and Granger, C. W. J. 1987. Cointegration and Error Correction: Representation, Estimation and Testing. Econometrica, 55(2), 251–276.Google Scholar
Engelberg, J. 2008. Costly Information Processing: Evidence from Earnings Announcements. AFA Meetings Paper.CrossRefGoogle Scholar
Engsted, T. 2006. Explosive Bubbles in the Cointegrated VAR Model. Finance Research Letters, 3(2), 154–162.Google Scholar
Eroglu, C. and Hofer, C. 2011. Lean, Leaner, Too Lean? The Inventory-Performance Link Revisited. Journal of Operations Management, 29(4), 356–369.Google Scholar
Evans, M. D. D. 1996. Peso Problems: Their Theoretical and Empirical Implications. In Maddal, G. S. and Rao, C. R. (eds.), Handbook of Statistics, 14. Elsevier, 613–646.Google Scholar
Fama, E. F. 1998. Market Efficiency, Long-Term Returns, and Behavioral Finance. Journal of Financial Economics, 49(3), 283–306.Google Scholar
Fama, E. F. and French, K. R. 1996. Multifactor Explanations of Asset Pricing Anomalies. Journal of Finance, 51(1), 55–84.Google Scholar
Fama, E. F. and French, K. R. 2015. A Five-Factor Asset Pricing Model. Journal of Financial Economics, 116(1), 1–22.Google Scholar
Fama, E. F. and French, K. R. 2019. Comparing Cross-Section and Time-Series Factor Models. Chicago Booth Research Paper, No. 18–08.Google Scholar
Fang, L. and Peress, J. 2009. Media Coverage and the Cross-Section of Expected Returns. Journal of Finance, 64, 2023–2052.Google Scholar
Feldman, R., Rosenfeld, B., Bar-Haim, R., and Moshe, F. 2011. The Stock Sonar Sentiment Analysis of Stocks Based on a Hybrid Approach. In Proceedings of 23rd IAAI Conference on Artificial Intelligence, 1642–1647.Google Scholar
Fiedler, K. 1988. The Dependence of the Conjunction Fallacy on Subtle Linguistic Factors. Psychological Research, 50(2), 123–129.Google Scholar
Filardo, A. J. 1994. Business-Cycle Phases and Their Transitional Dynamics. Journal of Business and Economic Statistics, 12(3), 299–308.Google Scholar
Flood, R. and Garber, P. 1980. Market Fundamentals versus Price-Level Bubbles: The First Tests. Journal of Political Economy, 88(4), 745–770.Google Scholar
Fratzscher, M., Rime, D., Sarno, L., and Zinna, G. 2015. The Scapegoat Theory of Exchange Rates: The First Tests. Journal of Monetary Economics, 70, 1–21.Google Scholar
Friberg, R. and Seiler, T. 2017. Risk and Ambiguity in 10’Ks: An Examination of Cash Holding and Derivatives Use. Journal of Corporate Finance, 45(C), 608–631.Google Scholar
Frydman, R. and Goldberg, M. D. 2007. Imperfect Knowledge Economics: Exchange Rates and Risk. Princeton University Press.Google Scholar
Frydman, R. and Goldberg, M. D. 2011. Beyond Mechanical Markets: Asset Price Swings, Risk and the Role of the State. Princeton University Press.CrossRefGoogle Scholar
Frydman, R. and Goldberg, M. D. 2013. Opening Models of Asset Prices and Risk to Non-routine Change. In Frydman, R. and Phelps, E. S. (eds.), Rethinking Expectations: The Way Forward for Macroeconomics. Princeton University Press, 207–250.Google Scholar
Frydman, R. and Goldberg, M. D. 2015. Change and Rationality in Macroeconomics and Finance Theory: A New Rational Expectations Hypothesis. Institute of New Economic Thinking Working Paper, No. 8.Google Scholar
Frydman, R., Goldberg, M. D. and Mangee, N. 2015. Knightian Uncertainty and Stock-Price Movements: Why the REH Present-Value Model Failed Empirically. Economics: The Open-Access, Open-Assessment E-Journal, 9, 1–50.Google Scholar
Frydman, R., Johansen, S., Rahbek, A., and Tabor, M. N. 2017. The Qualitative Expectations Hypothesis: Model Ambiguity, Consistent Representations of Market Forecasts, and Sentiment. Institute of New Economic Thinking Working Paper, No. 59.Google Scholar
Frydman, R., Johansen, S., Rahbek, A., and Tabor, M. N. 2019. The Knightian Uncertainty Hypothesis: Unforeseeable Change and Muth's Consistency Constraint in Modeling Aggregate Outcomes. Institute of New Economic Thinking Working Paper, No. 92.Google Scholar
Frydman, R., Mangee, N., and Stillwagon, J. R. Forthcoming. How Market Sentiment Drives Forecasts of Stock Returns. Journal of Behavioral Finance.Google Scholar
Frydman, R. and Phelps, E. S. 2013. Which Way Forward for Macroeconomics and Policy Analysis? In Frydman, R. and Phelps, E. S. (eds.), Rethinking Expectations: The Way Forward for Macroeconomics. Princeton University Press, 1–48.Google Scholar
Frydman, R. and Stillwagon, J. R. 2018. Fundamental Factors and Extrapolation in Stock-Market Expectations: The Central Role of Structural Change. Journal of Economic Behavior & Organization, 148(12), 189–198.Google Scholar
Gabriel, V. J. and Martins, L. F. 2011. Cointegration Tests under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship. Journal of Empirical Economics, 41(3), 639–662.Google Scholar
Ganguly, A. 2018. Textual Disclosure in SEC Filings and Litigation Risk. PhD Dissertation, University of Pittsburgh.Google Scholar
Gennaioli, N. and Shleifer, A. 2018. A Crisis of Beliefs: Investor Psychology and Financial Fragility. Princeton University Press.Google Scholar
Gennotte, G. 1986. Optimal Portfolio Choice under Incomplete Information. Journal of Finance, 61(3), 733–749.Google Scholar
Goetzmann, W. N., Kim, D., and Shiller, R. J. 2016. Crash Beliefs from Investor Surveys. National Bureau of Economic Research Working Paper, No. 22143.Google Scholar
Goldberg, M. D. and Frydman, R. 1996a. Imperfect Knowledge and Behaviour in the Foreign Exchange Market. Economic Journal, 106(437), 869–893.Google Scholar
Goldberg, M. D. and Frydman, R. 1996b. Empirical Exchange Rate Models and Shifts in the Cointegrating Vector. Structural Change and Economic Dynamics, 7(1), 55–78.CrossRefGoogle Scholar
Goldberg, M. D. and Frydman, R. 2001. Macroeconomic Fundamentals and the DM/$ Exchange Rate: Temporal Instability and the Monetary Model. International Journal of Finance & Economics, 6(4), 421–435.Google Scholar
Goodell, J. W. and Vahamaa, S. 2013. US Presidential Elections and Implied Volatility: The Role of Political Uncertainty. Journal of Banking and Finance, 37(3), 1108–1117.Google Scholar
Goyal, A. and Welch, I. 2008. A Comprehensive Look at the Empirical Performance of Equity Premium Prediction. Review of Financial Studies, 21(4), 1455–1508.Google Scholar
Granovetter, M. 1985. Economic Action and Social Structure: The Problem of Embeddedness. American Journal of Sociology, 91(3), 481–510.Google Scholar
Guo, L., Shi, F., and Tu, J. 2016. Textual Analysis and Machine Learning: Crack Unstructured Data in Finance and Accounting. Journal of Finance and Data Science, 2(3), 153–170.Google Scholar
Gutierrez, M. J. and Vazquez, J. 2004. Switching Equilibria: The Present Value Model for Stock Prices Revisited. Journal of Economic Dynamics and Control, 28(11), 2297–2325.Google Scholar
Hamilton, J. D. 1988. Rational-Expectations Econometric Analysis of Changes in Regime: An Investigation of the Term Structure of Interest Rates. Journal of Economics Dynamics and Control, 12(2–3), 385–423.Google Scholar
Hamilton, J. D. 1989. A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357–384.Google Scholar
Hamilton, J. D. 1994. State-Space Models. In Engle, R. F. and McFadden, D. L. (eds.), Handbook of Econometrics, 4. Elsevier, 3039–3080.Google Scholar
Hamilton, J. D. 2008. Regime-Switching Models. In Durlauf, S. and Blume, L. (eds.), New Palgrave Dictionary of Economics, 2nd ed. Palgrave McMillan, 120–155.Google Scholar
Hands, D. W. 2001. Reflection without Rules: Economic Methodology and Contemporary Science Theory. Cambridge University Press.Google Scholar
Hansen, L. P. 2013. Uncertainty Outside and Inside Economic Models. The Nobel Prize Lecture, The Nobel Foundation.Google Scholar
Hayek, Friedrich A. 1945. The Use of Knowledge in Society. American Economic Review, 35(4), 519–530.Google Scholar
Hayek, Friedrich A. 1978. The Pretense of Knowledge. Nobel Lecture, 1974, in New Studies in Philosophy, Politics, Economics and History of Ideas. University of Chicago Press, 23–34.Google Scholar
Healy, A. D. and Lo, A. 2011. Managing Real-Time Risks and Returns: The Thomson Reuters NewsScope Event Indices. In Mitra, G. and Mitr, L. (eds.), The Handbook of News Analytics in Finance. Wiley, 73–108.Google Scholar
Hendry, D. F., Doornik, J. A. and Pretis, F. 2013. Step-Indicator Saturation. Economics Series Working Papers, No. 658. University of Oxford, Department of Economics.Google Scholar
Hendry, D. F., Johansen, S., and Santos, C. 2008. Automatic Selection of Indicators in a Fully Saturated Regression. Computational Statistics, 33, 317–335.Google Scholar
Henkel, S. J., Martin, J. S. and Nardari, F. 2011. Time-Varying Short-Horizon Predictability. Journal of Financial Economics, 99(3), 560–580.Google Scholar
Herman, D. 2002. Story Logic: Problems and Possibilities of Narrative. University of Nebraska Press.Google Scholar
Hetwig, R., Benz, B., and Krauss, S. 2008. The Conjunction Fallacy and the Many Meanings of and. Cognition, 108(3), 740–753.Google Scholar
Hoffman, J. C. 1986. Law, Freedom and Story: The Role of Narrative in Therapy, Society, and Faith. Wilfrid Laurier University Press.Google Scholar
Hosseini, H. 1997. Cognitive Dissonance as a Means of Explaining Economics of Irrationality and Uncertainty. Journal of Socio-economics, 26(2), 181–189.Google Scholar
Hou, K. and Moskowitz, T. J. 2005. Market Frictions, Price Delay, and the Cross-Section of Expected Returns. Review of Financial Studies, 18(3), 981–1020.CrossRefGoogle Scholar
Howitt, P. and McAfee, R. P. 1992. Animal Spirits. American Economic Review, 82(3), 493–507.Google Scholar
Huang, K. and Li, Z. 2008. A Multilabel Text Classification Algorithm for Labeling Risk Factors in SEC for 10-K. ACM Transactions on Management Information Systems, 2, 1–19.Google Scholar
Jeremy, J. S. and Thaler, R. H. 1997. Anomalies: The Equity Premium Puzzle. Journal of Economic Perspectives, 11(1), 191–200.Google Scholar
Johansen, S. 1995. Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. Oxford University Press.Google Scholar
Johansen, S., Juselius, K., Frydman, R., and Goldberg, M. D. 2010. Testing Hypotheses in a Model with Piecewise Linear Trends: An Analysis of the Persistent Long Swings in the Dmk/$ Rate. Journal of Econometrics, 158(1), 117–129.Google Scholar
Joyce, P. G. 2012. The Costs of Budget Uncertainty: Analyzing the Impact of Late Appropriations. IBM Center for the Business of Government, 1–42.Google Scholar
Jung, J. and Shiller, R. J. 2005. Samuelson's Dictum and the Stock Market. Economic Inquiry, 43(2), 221–228.Google Scholar
Juselius, K. 2006. The Cointegrated VAR Model: Methodology and Applications. Oxford University Press.CrossRefGoogle Scholar
Kaminsky, G. L. 1993. Is There a Peso Problem?: Evidence From the Dollar/Pound Exchange Rate 1976–1987. American Economic Review, 83(3), 450–472.Google Scholar
Kanas, A. 2005. Nonlinearity in the Stock Price-Dividend Relation. Journal of International Money and Finance, 24(4), 583–606.Google Scholar
Kermack, W. O. and McKendrick, A. G. 1927. A Contribution to the Mathematical Theory of Epidemics. Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 115(772), 701–721.Google Scholar
Keynes, J. M. 1936. The General Theory of Employment, Interest and Money. Harcourt, Brace and World.Google Scholar
Kim, M. S. 2018. The Effect of Uncertain and Weak Modal Words in 10-K Filings on Analyst Forecast Attributes. FIU Electronic Theses and Dissertations, No. 3786.Google Scholar
Kim, S. B., Han, K. S., Rim, H. C. and Myaeng, S. H. 2006. Some Effective Techniques for Naive Bayes Text Classification. IEEE Transactions on Knowledge and Data Engineering, 18(11), 1457–1466.Google Scholar
Koenigs, M., Young, L., Adolphs, R., et al. 2007. Damage to the Prefrontal Cortex Increases Utilitarian Moral Judgments. Nature, 446(7138), 908–911.Google Scholar
Krajbich, I., Adolphs, R., Tranel Denburg, D., N. L., and Camerer, C. F. 2009. Economic Games Quantify Diminished Sense of Guilt in Patients with Damage to Prefrontal Cortex. Journal of Neuroscience, 29(7), 2188–2192.CrossRefGoogle ScholarPubMed
Kravet, T. and Muslu, V. 2013. Textual Risk Disclosures and Investors’ Risk Perceptions. Review of Account Studies, 18, 1088–1122.Google Scholar
Kuhn, T. 1970. The Structure of Scientific Revolutions, 2nd ed. University of Chicago Press.Google Scholar
Labov, W. and Waletzky, J. 1967. Narrative Analysis. In Helm, J. (ed.), Essays on the Verbal and Visual Arts. University of Washington Press, 12–44.Google Scholar
Leinweber, D. and Sisk, J. 2011. Event Driven Trading and the New News. Journal of Portfolio Management, 38(1), 110–124.Google Scholar
Lewis, M. 2009. Panic: The Story of Modern Financial Insanity. W.W. Norton and Company.Google Scholar
Li, F. 2006. Do Stock Market Investors Understand the Risk Sentiment of Corporate Annual Reports? SSRN Working Paper.Google Scholar
Li, F. 2008. Annual Report Readability, Current Earnings, and Earnings Persistence. Journal of Accounting and Economics, 45(2–3), 221–247.Google Scholar
Li, F. 2010a. Textual Analysis of Corporate Disclosures: A Survey of the Literature. Journal of Accounting Literature, 29, 143–165.Google Scholar
Li, F. 2010b. The Information Content of Forward-Looking Statements in Corporate Filings: A Naive Bayesian Machine Learning Approach. Journal of Accounting Research, 48(5), 1049–1102.Google Scholar
Liberti, J. M. and Mitchell, P. A. 2018. Information: Hard and Soft. NBER Working Paper, No. w25075.Google Scholar
Liu, X., Margaritis, D., and Wang, P. 2012. Stock Market Volatility and Equity Returns: Evidence from a Two-State Markov-Switching Model with Regressors. Journal of Empirical Finance, 19(4), 483–496.Google Scholar
Lo, A. W. and Mueller, M. T. 2010. Warning: Physics Envy May Be Hazardous to Your Wealth. Journal of Investment Management, 8(2), 13–63.Google Scholar
Lo, A. W. and Repin, D. V. 2002. The Psychophysiology of Real-Time Financial Risk Processing. Journal of Cognitive Neuroscience, 14(3), 323–339.Google Scholar
Lo, A. W. and Zhang, R. (eds.) 2018. Biological Economics: Volume I. The International Library of Critical Writings in Economics. Edward Elgar.Google Scholar
Lobell, D. B., Bonfils, C., and Duffy, P. B. 2007. Climate Change Uncertainty for Daily Minimum and Maximum Temperatures: A Model Inter-comparison. Geophysical Research Letters, 34(5), 1–5.Google Scholar
Loughran, T. and McDonald, B. 2011. When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks. Journal of Finance, 66(1), 35–65.Google Scholar
Loughran, T. and McDonald, B. 2015. The Use of Word Lists in Textual Analysis. Journal of Behavioral Finance, 16(1), 1–11.Google Scholar
Loughran, T. and McDonald, B. 2016. Textual Analysis in Accounting and Finance: A Survey. Journal of Accounting Research, 54(4), 1187–1230.Google Scholar
Machina, M. J. and Siniscalchi, M. 2013. Ambiguity and Ambiguity Aversion. In Machina, M. and Viscusi, K. (eds.), The Handbook of the Economics of Risk and Uncertainty, 1. Elsevier, 720–807.Google Scholar
MacKinnon, J. G., Haug, A. A., and Michelis, L. 1999. Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration. Journal of Applied Econometrics, 14(5), 563–577.Google Scholar
Maggio, R. 2014. The Anthropology of Storytelling and the Storytelling of Anthropology. Journal of Comparative Research in Anthropology and Sociology, 5(2), 89–106.Google Scholar
Malmendier, U. and Nagel, S. 2011. Depression Babies: Do Macroeconomic Experiences Influence Risk-Taking? Quarterly Journal of Economics, 126(1), 373–416.Google Scholar
Malmendier, U. and Nagel, S. 2014. Learning from Inflation Experiences. UC Berkeley and University of Michigan. Working Paper.Google Scholar
Manela, A. and Moreira, A. 2017. News Implied Volatility and Disaster Concerns. Journal of Financial Economics, 123(1), 137–162.Google Scholar
Mangee, N. 2011. The Long-Swings Puzzle in Equity Markets: Which Way Forward? PhD Dissertation, University of New Hampshire.Google Scholar
Mangee, N. 2014. Stock Prices, the Business Cycle and Contingent Change: Evidence from Bloomberg News Market Wraps. Economics Bulletin, 34(4), 2165–2178.Google Scholar
Mangee, N. 2015. A Kuhnian Perspective on Asset Pricing Theory. Journal of Economic Methodology, 22(1), 28–45.Google Scholar
Mangee, N. 2016. Can Structural Change Explain the Meese-Rogoff Puzzle?: An Application to the Stock Market. Journal of Economics and Finance, 40(2), 211–234.Google Scholar
Mangee, N. 2017. New Evidence on Psychology and Stock Returns. Journal of Behavioral Finance, 18(4), 417–426.Google Scholar
Mangee, N. 2018. Stock Returns and the Tone of Marketplace Information: Does Context Matter? Journal of Behavioral Finance, 19(4), 396–406.Google Scholar
Mangee, N. 2019. Empirical Evidence on the Scapegoat Model of Stock Prices. Working Paper.Google Scholar
Mangee, N. and Goldberg, M. D. 2020. A Cointegrated VAR Analysis of Stock Price Models: Fundamentals, Psychology and Structural Change. Journal of Behavioral Finance, 21(4), 352–368.Google Scholar
McCloskey, D. 2016. Adam Smith Did Humanomics: So Should We? Eastern Economic Journal, 42(4), 503–13.Google Scholar
McClure, S. M., Ericson, K. M., Laibson, D. I., Lowenstein, G., and Cohen, J. D. 2007. Time Discounting for Primary Rewards. Journal of Neuroscience, 21, 5796–5804.Google Scholar
McKee, R. 1997. Story: Substance, Structure, Style, and the Principles of Screen-writing. Harper Collins.Google Scholar
McLay, J. G., Reynolds, C. A., Satterfield, E., and Hodyss, D. 2016. Changes to Intrinsic Weather Forecast Uncertainty in One Scenario of Extreme Future Climate. Quarterly Journal of the Royal Meteorological Society, 142(698), 2102–2118.CrossRefGoogle Scholar
McQueen, G. and Roley, V. 1993. Stock Prices, News and Business Conditions. Review of Financial Studies, 6(3), 683–707.Google Scholar
Mehra, R. and Prescott, E. C. 1985. The Equity Premium: A Puzzle. Journal of Monetary Economics, 15(2), 145–161.Google Scholar
Mian, G. M. and Sankaraguruswamy, S. 2012. Investor Sentiment and Stock Market Response to Earnings News. The Accounting Review, 87(4), 1357–1384.Google Scholar
Michel, J. B., Shen, Y. K., Aiden, A. P., et al. 2011. Quantitative Analysis of Culture Using Millions of Digitized Books. Science, 331(6014), 176–182.Google Scholar
Minsky, H. P. 1982. Can “IT” Happen Again: Essays on Instability and Finance. M.E. Sharpe.Google Scholar
Mitra, G. and Mitra, L. (eds.) 2011. The Handbook of News Analytics in Finance. John Wiley and Sons.Google Scholar
Morson, G. S. and Schapiro, M. 2017. Cents and Sensibility: What Economics Can Learn from the Humanities. Princeton University Press.Google Scholar
Muth, J. H. 1961. Rational Expectations and the Theory of Price Movements. Econometrica, 29(3), 315–335.Google Scholar
Nasseh, A. and Strauss, J. 2004. Stock Prices and the Dividend Discount Model: Did Their Relation Break Down in the 1990's? Quarterly Review of Economics and Finance, 44(2), 191–207.Google Scholar
Nelson, P. 1987. Narrative and Morality: A Theological Inquiry. Pennsylvania State University Press.Google Scholar
Niederhoffer, V. 1971. The Analysis of World Events and Stock Prices. Journal of Business, 44(2), 193–219.Google Scholar
Pagan, A. R. and Sossounov, K. R. 2003. A Simple Framework for Analyzing Bull and Bear Markets. Journal of Applied Econometrics, 18(1), 23–46.Google Scholar
Page, R., Busse, B., and Norgaard, N. (eds.) 2019. Rethinking Language, Text and Context: Interdisciplinary Research in Stylistics in Honour of Michael Toolan. Routledge Studies in Rhetoric and Stylistics.Google Scholar
Pastor, L. and Stambaugh, R. F. 2001. The Equity Premium and Structural Breaks. Journal of Finance, 56(4), 1207–1239.Google Scholar
Pastor, L. and Veronesi, P. 2009a. Technological Revolutions and Stock Prices. American Economic Review, 99(4), 1451–1483.Google Scholar
Pastor, L. and Veronesi, P. 2009b. Learning in Financial Markets. Annual Review of Financial Economics, 1(1), 361–381.Google Scholar
Paye, B. S. and Timmermann, A. 2006. Instability of Return Prediction Models. Journal of Empirical Finance, 13(3), 274–315.Google Scholar
Pearce, D. and Roley, V. 1985. Stock Prices and Economic News. Journal of Business, 58(1), 49–67.Google Scholar
Pesaran, M. H. and Timmermann, A. 2002. Market Timing and Return Prediction under Model Instability. Journal of Empirical Finance, 9(5), 495–510.Google Scholar
Pettenuzzo, D. and Timmermann, A. 2011. Predictability of Stock Returns and Asset Allocations under Structural Breaks. Journal of Econometrics, 164(1), 60–78.Google Scholar
Pixley, J. 2004. Emotions in Finance: Distrust and Uncertainty in Global Markets. Cambridge University Press.Google Scholar
Pixley, J. 2012. Emotions in Finance: Booms, Busts and Uncertainty. Cambridge University Press.Google Scholar
Politzer, G. and Noveck, I. A. 1991. Are Conjunction Rule Violations the Result of Conversational Rule Violations? Journal of Psycholinguistic Research, 20(2), 83–103.Google Scholar
Polletta, F., Chen, , Ching, P., Chen, B., Gardner, B. G., and Motes, A. 2011. The Sociology of Storytelling. Annual Review of Sociology, 37(1), 109–130.Google Scholar
Polletta, F. and Jasper, J. M. 2001. Collective Identity and Social Movements. Annual Review of Sociology, 27(1), 283–305.Google Scholar
Przybylski, A. K. and Weinstein, N. 2019. Violent Video Game Engagement Is Not Associated with Adolescents’ Aggressive Behavior: Evidence from a Registered Report. Royal Society Open Science, 6(2), 171474.Google Scholar
Rapach, D. E. and Wohar, M. E. 2006. Structural Breaks and Predictive Regression Models of Aggregate U.S. Stock Returns. Journal of Financial Econometrics, 4(2), 238–274.Google Scholar
RavenPack News Analytics 2018. Version 4, www.ravenpack.com/page/ravenpack-news-analytics/.Google Scholar
Rodrik, D. 2015. Economics Rules: The Rights and Wrongs of the Dismal Science. W.W. Norton and Company.Google Scholar
Rosen, R. J. 2006. Merger Momentum and Investor Sentiment: The Stock Market Reaction to Merger Announcements. Journal of Business, 79(2), 987–1017.Google Scholar
Ryan, M. L. 2004. Narrative across Media: The Languages of Storytelling. University of Nebraska Press.Google Scholar
Ryans, J. P. 2016. Textual Classification of SEC Comment Letters. PhD Dissertation, University of California, Berkeley.Google Scholar
Sadka, R. 2006. Momentum and Post-Earnings Announcement Drift Anomalies: The Role of Liquidity Risk. Journal of Financial Economics, 80(2), 309–349.Google Scholar
Sakai, Y. 2018. Daniel Ellsberg on J.M. Keynes and F.H. Knight: Risk, Ambiguity and Uncertainty. CRR Discussion Paper Series, No. 31. Shiga University, Center for Risk Research.Google Scholar
Samuelson, P. A. 1965. Proof That Properly Anticipated Prices Fluctuate Randomly. Industrial Management Review, 6(2), 41–49.Google Scholar
Schaller, H. and van Norden, S. 1997. Regime Switching in Stock Market Returns. Applied Financial Economics, 7(2), 177–191.Google Scholar
Schlicht, E. 1983. Cognitive Dissonance in Economics. Darmstadt Discussion Papers in Economics, No. 26. Darmstadt University of Technology, Department of Law and Economics.Google Scholar
Shefrin, H. 2002. Beyond Greed and Fear: Understanding Behavioral Finance and the Psychology of Investing. Harvard Business School Press.Google Scholar
Sheng, J. 2019. Macro News, Micro News, and Stock Prices. Working Paper presented at the 2017 European Finance Association Conference.Google Scholar
Shiller, R. J. 1981. Do Stock Prices Move Too Much to Be Justified by Subsequent Changes in Dividends? American Economic Review, 71(3), 421–436.Google Scholar
Shiller, R. J. 1984. Stock Prices and Social Dynamics. Brookings Papers on Economic Activity, 2, 457–510.Google Scholar
Shiller, R. J. 2019. Narrative Economics: How Stories Go Viral and Drive Major Economic Events. Princeton University Press.Google Scholar
Shiller, R. J. 2020. Popular Economic Narratives Advancing the Longest U.S. Expansion 2009–2019. Journal of Policy Modeling, 42(4), 1–8.Google Scholar
Shiller, R. J. and Pound, J. 1989. Survey Evidence on the Diffusion of Interest and Information among Investors. Journal of Economic Behavior and Organization, 12(1), 47–66.Google Scholar
Simon, H. A. 1959. Theories of Decision-Making in Economics and Behavioral Science. American Economic Review, 49(3), 252–283.Google Scholar
Snow, D. A., Rochford, E. B., Worden, S. K., and Benford, R. D. 1986. Frame Alignment Processes, Micromobilization, and Movement Participation. American Sociological Review, 51(4), 464–481.Google Scholar
Stillwagon, J. R. 2018. Are Risk Premia Related to Real Exchange Rate Swings? Evidence from I(2) CVARs with Survey Expectations. Macroeconomic Dynamics, 22(2), 255–278.Google Scholar
Stillwagon, J. R. and Sullivan, P. 2019. Markov Switching in Exchange Rate Models: Will More Regimes Help? Empirical Economics, 59(2).Google Scholar
Stock, J. H. and Watson, M. W. 1996. Evidence on Structural Instability in Macroeconomic Time Series Relations. Journal of Business and Economic Statistics, 14(1), 11–30.Google Scholar
Tesfatsion, L. 2006. Agent-Based Computational Economics: A Constructive Approach to Economic Theory. In Judd, L. and Tesfatsion, K. L. (eds.), Handbook of Computational Economics, 2. Elsevier, 831–880.Google Scholar
Tetlock, P. C. 2007. Giving Content to Investor Sentiment: The Role of Media in the Stock Market. Journal of Finance, 62(3), 1139–1168.Google Scholar
Tetlock, P. C. 2011. All The News That's Fit to Reprint: Do Investors React to Stale Information? Review of Financial Studies, 24(5), 1481–1512.Google Scholar
Tetlock, P. C., Saar-Tsechansky, M., and Macskassy, S. 2008. More Than Words: Quantifying Language to Measure Firms’ Fundamentals. Journal of Finance, 63(3), 1437–1467.Google Scholar
Thaler, R. H. 1987. Anomalies: The January Effect. Journal of Economic Perspectives, 1(1), 197–201.Google Scholar
Timmermann, A. 1996. Excess Volatility and Predictability of Stock Prices in Autoregressive Dividend Models with Learning. Review of Economic Studies, 63(4), 523–557.Google Scholar
Timmermann, A. 2001. Structural Breaks, Incomplete Information, and Stock Prices. Journal of Business and Economic Statistics, 19(3), 299–315.Google Scholar
Tuckett, D. 2009. Addressing the Psychology of Financial Markets. Economics: The Open-Access, Open-Assessment E-Journal, 3, 1–24.Google Scholar
Tversky, A. and Kahneman, D. 1983. Extensional versus Intuitive Reasoning: The Conjunction Fallacy in Probability Judgment. Psychological Review, 90(4), 293–315.Google Scholar
Tversky, A. and Kahneman, D. 1986. Rational Choice and the Framing of Decisions. Journal of Business, 59(4), 251–278.Google Scholar
Uhl, M. W., Pedersen, M., and Malitius, O. 2015. What's in the News? Using News Sentiment Momentum for Tactical Asset Allocation. Journal of Portfolio Management, 41(2), 100–112.Google Scholar
Veblen, T. 1923. Absentee Ownership and Business Enterprise in Recent Times: The Case of America. B. W. Huebsch.Google Scholar
Veronesi, P. 1999. Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model. Review of Financial Studies, 12(5), 975–1007.Google Scholar
Verweij, M., Senior, T. J. Dominguez, J. F. and Turner, R. 2015. Emotion, Rationality and Decision-Making: How to Link Affective and Social Neuroscience with Social Theory. Frontiers of Neuroscience, 9(332), 3–32.Google Scholar
Viceira, L. M. 1997. Testing for Structural Change in the Predictability of Asset Returns. Manuscript, Harvard University.Google Scholar
Vuolteenaho, T. 2002. What Drives Firm-Level Stock Returns. Journal of Finance, 57(1), 233–264.Google Scholar
Wachter, J. A. 2013. Can Time-Varying Risk of Rare Disasters Explain Aggregate Stock Market Volatility? Journal of Finance, 68(3), 987–1035.Google Scholar
Whitford, J. 2002. Pragmatism and the Untenable Dualism of Means and Ends: Why Rational Choice Theory Does Not Deserve Paradigmatic Privilege. Theory and Society, 31(3), 325–363.Google Scholar
Zweig, J. 2007. Your Money and Your Brain: How the New Science of Neuroeconomics Can Help Make You Rich. Simon & Schuster.Google Scholar