IDEAS home Printed from https://ideas.repec.org/a/aio/fpvfcf/v1y2018i20p74-84.html
   My bibliography  Save this article

The Conventional Past, Behavioral Present, and Algorithmic Future of Risk and Finance

Author

Listed:
  • Philip Z. MAYMIN

    (University of Bridgeport Trefz School of Management)

Abstract

Modern finance is a relatively young field, only a few decades old, and already it has gone through two phase transitions and is perhaps poised to undergo a third. The first transition starting from the 1950s brought modern portfolio theory into the mainstream with econometric and optimization based approaches to portfolio construction and risk management. The second transition starting from the 1990s shifted those conventional approaches based on rational investors into a focus on the actual psychological factors driving investor behavior along with the important concept of limits to arbitrage. The third transition happening now aims to take an algorithmic approach to finance, looking to explore how and why investor heuristics evolve and predominate, how automated processes can respond to unpredictable events, and what the effects will be on the markets as ever-faster computers trained on ever-larger data sets become the predominant and nearly real-time traders.

Suggested Citation

  • Philip Z. MAYMIN, 2018. "The Conventional Past, Behavioral Present, and Algorithmic Future of Risk and Finance," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(20), pages 74-84, November.
  • Handle: RePEc:aio:fpvfcf:v:1:y:2018:i:20:p:74-84
    as

    Download full text from publisher

    File URL: http://www.financejournal.ro/fisiere/revista/127825184507_Maymin%20en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    2. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    3. Philip Z. Maymin, 2011. "The minimal model of financial complexity," Quantitative Finance, Taylor & Francis Journals, vol. 11(9), pages 1371-1378, February.
    4. Philip Z. Maymin & Zakhar G. Maymin, 2010. "Any Regulation of Risk Increases Risk," Papers 1004.1670, arXiv.org, revised Apr 2012.
    5. Philip Maymin & Zakhar Maymin, 2012. "Any regulation of risk increases risk," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(3), pages 299-313, September.
    6. M-Y. Kao & S.R. Tate, 2001. "Designing proxies for stock market indices is computationally hard-super-," Quantitative Finance, Taylor & Francis Journals, vol. 1(3), pages 361-371, March.
    7. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    8. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    9. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    10. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    11. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    12. Manfred Gilli & Dietmar Maringer & Peter Winker, 2008. "Applications of Heuristics in Finance," International Handbooks on Information Systems, in: Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), Handbook on Information Technology in Finance, chapter 26, pages 635-653, Springer.
    13. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    14. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    15. Maymin, Philip, 2011. "Markets are efficient if and only if P=NP," Algorithmic Finance, IOS Press, vol. 1(1), pages 1-11.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    2. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    3. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, January.
    4. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    5. Ramiah, Vikash & Xu, Xiaoming & Moosa, Imad A., 2015. "Neoclassical finance, behavioral finance and noise traders: A review and assessment of the literature," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 89-100.
    6. Arvanitis, Stelios & Scaillet, Olivier & Topaloglou, Nikolas, 2020. "Spanning analysis of stock market anomalies under prospect stochastic dominance," Working Papers unige:134101, University of Geneva, Geneva School of Economics and Management.
    7. N. S. Nanayakkara & P. D. Nimal & Y. K. Weerakoon, 2019. "Behavioural Asset Pricing: A Review," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 101-108.
    8. Rocciolo, Francesco & Gheno, Andrea & Brooks, Chris, 2022. "Explaining abnormal returns in stock markets: An alpha-neutral version of the CAPM," International Review of Financial Analysis, Elsevier, vol. 82(C).
    9. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
    10. Itzhak Venezia, 2018. "Lecture Notes in Behavioral Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 10751, August.
    11. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    12. Constantinos Antoniou & John A. Doukas & Avanidhar Subrahmanyam, 2016. "Investor Sentiment, Beta, and the Cost of Equity Capital," Management Science, INFORMS, vol. 62(2), pages 347-367, February.
    13. Zura Kakushadze, 2014. "4-Factor Model for Overnight Returns," Papers 1410.5513, arXiv.org, revised Jun 2015.
    14. Jean-Pierre Allegret & Hélène Raymond & Houda Rharrabti, 2014. "The impact of the global and eurozone crises on European banks stocks Some evidence of shift contagion," Working Papers hal-04141339, HAL.
    15. repec:gnv:wpaper:unige:76321 is not listed on IDEAS
    16. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974, Elsevier.
    17. Jang, Jeewon, 2017. "Stock return anomalies and individual investors in the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 46(PA), pages 141-157.
    18. Stafylas, Dimitrios & Anderson, Keith & Uddin, Moshfique, 2017. "Recent advances in explaining hedge fund returns: Implicit factors and exposures," Global Finance Journal, Elsevier, vol. 33(C), pages 69-87.
    19. Zura Kakushadze & Willie Yu, 2016. "Multifactor Risk Models and Heterotic CAPM," Papers 1602.04902, arXiv.org, revised Mar 2016.
    20. Chen, Tsung-Yu & Chao, Ching-Hsiang & Wu, Zhen-Xing, 2021. "Does the turnover effect matter in emerging markets? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    21. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "Time‐Varying Risk Premium in Large Cross‐Sectional Equity Data Sets," Econometrica, Econometric Society, vol. 84, pages 985-1046, May.

    More about this item

    Keywords

    behavioral; algorithmic; risk; finance.;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aio:fpvfcf:v:1:y:2018:i:20:p:74-84. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alina Manta (email available below). General contact details of provider: https://edirc.repec.org/data/fecraro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.