Asset Pricing in the Resource-Constrained Brain

Siddiqi, Hammad (2022): Asset Pricing in the Resource-Constrained Brain.

Abstract

Despite scarcity being central to economics, the scarcity of brain’s internal resources has largely been ignored. Neuroscience research increasingly points to the brain evolving as a prediction engine in response to this internal-resource scarcity. The brain meets every situation with subconscious expectations, which are contrasted with information to generate error-signals. Selective processing of such error-signals, in lieu of the entire information-stream, saves brain-resources. I show that applying such predictive-processing to asset pricing gives rise to an alpha, with several empirically observed phenomena (value, momentum, size, high-alpha-of-low-beta, profitability, investment, overnight bias, and time-specific changes in SML slopes) corresponding to either cross-sectional or time-specific variations in this alpha. Additional insights about these phenomena emerge that are consistent with empirical evidence. This indicates that at least a part of the explanation of these puzzles is optimal utilization of the brain’s limited internal resources via predictive processing of incoming information.

• Item Type: MPRA Paper
• Language: English
• Keywords: Predictive Processing, Asset Pricing, CAPM, SML Slope, Betting-Against-Beta, Size Effect, Value Effect, Momentum Effect, Profitability Effect, Investment Effect, Overnight Bias
• Subjects: G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice ; Investment Decisions; G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates

References

Alonso, Brocas, and Carrillo (2014), “Resource allocation in the brain”, Review of Economic Studies, Vol. 81, pp. 501-534.

Antoniou, C., Doukas, J., and Subrahmanyam, A. (2015), “Investor Sentiment, Beta, and the Cost of Equity Capital”, Management Science, Vol. 62, No. 2.

Apps, M. A. J, and Tsakiris, M. (2014), “The free-energy self: A predictive coding account of self-recognition”, Neuroscience and Biobehavioral Review, Vol. 41, pp. 85-97.

Arnott, Robert, Campbell Harvey, Vitali Kalesnik, and Juhani Linnainmaa (2019), “Reports of value’s death may be greatly exaggerated”, Financial Analysts’ Journal, Vol. 77, Issue 1, pp. 44-67.

Asness, Clifford, Andrea Frazzini, Ronen Israel, and Tobias Moskowitz (2015), “Fact, fiction, and value investing”, Journal of Portfolio Management 42 (1): 34-52.

Asness, Frazzini, Israel, Moskowitz, and Pedersen (2018), “Size matters, if you control your junk”, Journal of Financial Economics, Vol. 129, Issue 3, pp. 479-509.

Avramov, D., Cheng, S., and Hameed, A. (2016), “Time varying liquidity and momentum profits”, Journal of Financial and Quantitative Analysis, Vol. 51, No. 6, pp. 1897-1923.

Barber, B. and Odean, T. (2008). “All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors.” The Review of Financial Studies, Vol. 21, Issue 2, pp. 785-818.

Berkman, H., PD Koch, L. Tuttle, and YJ Zhang. (2012). “Paying Attention: Overnight Returns and the Hidden Cost of Buying at the Open.” Journal of Financial and Quantitative Analysis, Vol. 47, No. 4, pp. 715-741.

Black, F. (1972), “Capital market equilibrium with restricted borrowing”, Journal of Business, Vol. 45, Issue 3, pp.444-455.

Buchel, C., Geuter, S., Sprenger, C., and Eippert, F. (2014), “Placebo analgesia: A predictive coding perspective”, Neuron, Vol. 81, Issue 6, pp. 1223-1239.

Bogousslavsky, V. (2021), “The cross-section of intraday and overnight returns”, Journal of Financial Economics, Vol. 141, Issue 1, pp. 172-194.

Bubic, A., Von Cramon, D. Y., & Schubotz, R. I. (2010), “Prediction, cognition and the brain”, Frontiers in Human Neuroscience, 4, 25.

Buehlmaier, M., and Whited, T. (2018), “Are financial constraints priced? Evidence from textual analysis”, The Review of Financial Studies, Vol. 31, Issue 7, pp. 2693-2728.

Camerer, Colin, George Loewenstein, and Drazen Prelec. 2005. "Neuroeconomics: How Neuroscience Can Inform Economics." Journal of Economic Literature, 43 (1): 9-64.

Campbell, J., Giglio, S., and Polk, C. (2023), “What drives booms and busts in value?”, NBER Working Paper No. 31859, DOI: 10.3386/w31859

Chen. J., and Kawaguchi, Y. (2018), “A revisit of the cross-section of overnight and intraday abnormal returns: Evidence from the Japanese REIT market”, International Journal of Economics and Finance, Vol. 10, No. 1.

Clark, A. (2023), “The Experience Machine: How Our Minds Predict and Shape Reality”, Allen Lane (1st Edition).

Clark, A. (2015), “Surfing Uncertainty: Prediction, Action, and the Embodied Mind”, Oxford University Press.

Clark, A. (2013), “Whatever next? Predictive brains, situated agents, and the future of cognitive science”, Behav. Brain Sci. 36, 181-204, doi: 10.1017/S0140525X12000477

Cohen, R. B., C. Polk, and T. Vuolteenaho (2005), “Money illusion in the stock market: The Modigliani Cohn hypothesis”, Quarterly Journal of Economics, Vol. 120, Issue 2, pp. 639 – 668.

Elk, M. (2021), “A predictive processing framework of tool use”, Cortex, Vol. 139, pp. 211-221.

Engstrom, J., Bargman, J., Nilsson, D., Seppelt, B., Markkula, G., Piccinini, G. B., and Viktor, T. (2018), “Great expectations: A predictive coding account of automobile driving”, Theoretical Issues in Ergonomics Science, Vol. 19, Issue 2, pp. 156-194.

Fama, E. and French, K. (2020), “The Value Premium”, Fama-Miller Working Paper No. 20-01, Available at SSRN: https://ssrn.com/abstract=3525096 or http://dx.doi.org/10.2139/ssrn.3525096

Fama, E. and French, K. (2017), “International tests of a five-factor asset pricing model”, Journal of Financial Economics, Vol. 123, Issue 3, pp. 441-463.

Fama, E., and French, K. (2016), “Dissecting anomalies with a five-factor model”, The Review of Financial Studies, Vol. 29, Issue 1, pp. 69-103.

Fama, E., and French, K. (2015), “A five factor asset pricing model”, Journal of Financial Economics, Vol. 116, Issue 1, pp. 1-22.

Fama, E., and French, K. (2011), “Size, Value, and Momentum in International Stock Returns.” Journal of Financial Economics, 105, 457-472

Fama, E. F. and K. R. French (2004), “The capital asset pricing model: Theory and evidence”, The Journal of Economic Perspectives, Vol. 18, pp. 25–46.

Fama, E., and French. K. (1993), “Common risk factors in the returns on stocks and bonds”, Journal of Financial Economics, Vol. 33, Issue 1, pp. 3-56.

Feldman, L. B. (2021a), “Seven and a Half Lessons about the Brain”, Mariner Books (26 October, 2021)

Feldman, L. B. (2021b), “Your brain predicts (almost) everything you do”, available at: https://www.mindful.org/your-brain-predicts-almost-everything-you-do/

Foye, J. (2018), “A comprehensive test of the Fama-French five-factor model in emerging markets”, Emerging Markets Review, Vol. 37, pp. 199-222.

Frazzini and Pedersen (2014), “Betting against beta”, Journal of Financial Economics, Vol. 114, pp. 1-25.

Friston, K. (2018), “Does predictive coding have a future?”, Nature Neuroscience, Vol. 21, Issue 8, pp. 1019-1021.

Friston, K. (2010), “The free-energy principle: A unified brain theory?”, Nature Reviews Neuroscience, Volume 11, Issue 2, pp. 127–138.

Friston, K., and Kiebel, S. (2009), “Predictive coding under the free energy principle”, Philosophical Transactions of the Royal Society B, Vol. 364, Issue 1521, https://doi.org/10.1098/rstb.2008.0300

Griffin, J. D., and Fletcher, P. C. (2017), “Predictive processing, source monitoring, and psychosis”, Annual Review of Clinical Psychology, Vol. 13, Issue 13, pp. 265-289.

Goldstein, B. (2020), “The Mind: Consciousness, Prediction, and the Brain”, Publisher: The MIT Press, ISBN-10: 0262044064

Hawkins, J. (2021), “A Thousand Brains: A New Theory of Intelligence”, Publisher: Basic Books, ISBN-10: 1541675819

Hohwy, J. (2013), “The Predictive Mind”, Oxford University Press: ISBN: 9780199682737

Hendershott, T., Livdan, D., and Rosch, D. (2020), “Asset pricing: A tale of night and day”, Journal of Financial Economics, Vol. 138, Issue 3, pp. 635-662.

Huang, S. (2022), “The momentum gap and return predictability”, The Review of Financial Studies, Vol. 35, Issue 7, pp. 3303-3336.

Jegadeesh, N. and Titman S. (1993), “Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency.” Journal of Finance, Vol. 48, pp. 65-91.

Knill, D. and A. Pouget. (2004), “The Bayesian Brain: The Role of Uncertainty in Neural Coding and Computation”, Trends in Neuroscience, Vol. 27, Issue 12, pp. 712–719.

Lachance. M. (2023), “Night trading: Lower risk but higher return?”, Review of Financial Economics, Vol. 41, Issue 4, 347-363.

Lech, R., Güntürkün, O., and Suchan, B. (2016), “An interplay of fusiform gyrus and hippocampus enables prototype- and exemplar-based category learning”, Behavioural Brain Research, Vol. 311, pp. 239-246.

Lev, B., and Srivastava A. (2022), "Explaining the Recent Failure of Value Investing", Critical Finance Review, Vol. 11: No. 2, pp 333-360.

Levi, Y. & Welch, I. (2017), “Best Practice for Cost-of-Capital Estimate”, Journal of Financial and Quantitative Analysis, Vol. 52, Issue 2, pp. 427-463.

Lintner, J. (1965), “The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets”, Review of Economics and Statistics, Vol.47, pp. 13-37.

Lou, D., Polk, C., and Skouras, S. (2019), “A tug of war: Overnight versus intraday expected returns”, Journal of Financial Economics, Vol. 134, Issue 4, pp. 192-213.

McKenzie, R. (2018), “A Brain-Focused Foundation for Economic Science”, Palgrave Macmillan, Cham.

Mossin, J. (1966), “Equilibrium in a capital asset market”, Econometrica, Vol. 34, pp. 768-783

Nave, K., Deane, G., Miller, M., and Clark, A. (2020), “Wilding the Predictive Brain”, Wiley Interdisciplinary Review of Cognitive Science, Volume 11, Issue 6: e1542. DOI:10.1002/wcs.1542

Novy-Marx, R., and Velikov, M. (2022), “Betting Against Betting Against Beta”, Journal of Financial Economics, Vol. 143, Issue 1, pp. 80-106.

Novy-Marx, R. (2015), “Fundamentally, momentum is fundamental momentum”, NBER Working Paper Series, Working Paper No: 20984.

Page, L. (2022), “Optimally irrational: The good reasons we behave the way we do”, Cambridge University Press, 1st Edition.

Savor, P., and Wilson, M. (2014), “Asset pricing: A tale of two days”, Journal of Financial Economics, Vol. 113, Issue 2, pp. 171-201.

Seibert, M. (2023), “Trading the night effect”, (July 7) Available at https://www.linkedin.com/pulse/trading-night-effect-moritz-seibert/

Seth, A. (2021), “Being You: A New Science of Consciousness”, Dutton Books (19 October 2021)

Sharpe, W. (1964), “Capital asset prices: A theory of market equilibrium under conditions of risk”, The Journal of Finance, Vol. 19, No. 3, pp. 425-442.

Siddiqi, H. and Murphy, A. (2023), “The Resource-Constrained Brain: A New Perspective on the Equity Premium Puzzle”, Journal of Behavioral Finance, Vol. 24, Issue 3, DOI:10.1080/15427560.2021.1975716

Siddiqi, H. (2023), “Information Processing in the Brain and Financial Innovations”, Journal of Behavioral Finance, doi.org/10.1080/15427560.2023.2198718

Siddiqi, H., and Quiggin, J. (2019), “The pricing kernel puzzle: A behavioral explanation”, Cogent Economics and Finance, Vol. 7, Issue 1.

Siddiqi, H. (2019), “Anchoring-Adjusted Option Pricing Models”, Journal of Behavioral Finance, Vol. 20, Issue 2, pp. 139-153.

Siddiqi, H. (2018), “Anchoring-Adjusted Capital Asset Pricing Model”, Journal of Behavioral Finance, Vol. 19, Issue 3, pp. 249-270.

Siddiqi, H. (2017), “Certain and Uncertain Utility: A New Perspective on Financial Innovation”, Economics Letters, Vol. 158, pp. 7-9.

Simpson, M., and Grossmann, A. (2024), “The resurrected size effect still sleeps in the (monetary) winter”, International Review of Financial Analysis, March, 103081.

Stoll, H. and Whaley (1983), “Transaction Costs and the Small Firm Effect”, Journal of Financial Economics 12 (1983), 57-79.

Yu, H., Chen, L., and Chen, C. (2022), “The profitability effect: An evaluation of alternative explanations”, Pacific-Basin Finance Journal, Vol. 72, April.

Wang, B. (2024), “A new value strategy”, The Review of Asset Pricing Studies, Volume 14, Issue 1, pp. 40–83.

Zaremba, A. (2020), “Small-minus-big predicts betting-against-beta: Implications for international equity allocation and market timing”, Investment Analysts Journal, Vol. 49, Issue 4, pp. 322-341.