Skip to main content

Understanding the Influences of Cognitive Biases on Financial Decision Making During Normal and COVID-19 Pandemic Situation in the United Arab Emirates

  • Chapter
  • First Online:
The Effect of Coronavirus Disease (COVID-19) on Business Intelligence

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 334))

Abstract

The purpose of the study is to identify the effects of behavioral/psychological factors i.e. overconfidence, anchoring bias, loss aversion, herding effect on financial decision making, in both normal situation (NS) and COVID-19 pandemic uncertain situation (CVD-19) separately. This paper used a qualitative method by using semi-structured interview (virtual and physical) and all fifteen interviewers were based in the United Arab Emirates. Whereas, the results of the study show that in NS all the factors have a positive significant relationship with financial decision-making. But on the other hand, in the CVD-19 uncertain situation, majority of the factors has a negative effect on financial decision making, except for overconfidence, which shows positive effect. Though the limitation was a time constraint, limited factors, and CVD-19 itself is a stressful environment and people do not prefer to participate in interviews. Finally, the future research direction is to increase sample size and factors to understand the financial decision impact on performance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Buchanan, L., Connell, A.O.: A brief history of decision making. Harv. Bus. Rev. 84(1), 32 (2006)

    Google Scholar 

  2. Lipshitz, R., Klein, G., Orasanu, J., Salas, E.: Taking stock of naturalistic decision making. J. Behav. Decis. Mak. 14(5), 331–352 (2001)

    Article  Google Scholar 

  3. Lipshitz, R., Strauss, O.: Coping with uncertainty: a naturalistic decision-making analysis. Organ. Behav. Hum. Decis. Process. 69(2), 149–163 (1997)

    Article  Google Scholar 

  4. Chhapra, I.U., Kashif, M., Rehan, R., Bai, A.: An empirical investigation of investors behavioral biases on financial decision making. Asian J. Empir. Res. 8(3), 99–109 (2018)

    Article  Google Scholar 

  5. Bakar, S., Yi, A.N.C.: The impact of psychological factors on investors’ decision making in Malaysian stock market: a case of Klang Valley and Pahang. Procedia Econ. Financ. 35, 319–328 (2016)

    Article  Google Scholar 

  6. Ritter, J.R.: Behavioral finance. Pacific-Basin Financ. J. 11(4), 429–437 (2003)

    Article  Google Scholar 

  7. Babajide, A.A., Adetiloye, K.A.: Investors’ behavioural biases and the security market: an empirical study of the Nigerian security market. Account. Financ. Res. 1(1), 219–229 (2012)

    Google Scholar 

  8. Bashir, T., Javed, A., Usman, A., Meer, U.I., Naseem, M.M.: Empirical testing of heuristics interrupting the investor’s rational decision making. Eur. Sci. J. 9(28) (2013)

    Google Scholar 

  9. Ashurideh, M., Al Kurdi, B., Abu Hussien, A., Alshaar, H.: Determining the main factors affecting consumers’ acceptance of ethical advertising: a review of the Jordanian market. J. Mark. Commun. 23(5), 513–532 (2017)

    Google Scholar 

  10. Bazerman, M.H., Moore, D.A.: Judgment in Managerial Decision Making. Wiley, New York (1994)

    Google Scholar 

  11. Duxbury, D.: Behavioral finance: insights from experiments II: biases, moods and emotions. Rev. Behav. Financ. (2015)

    Google Scholar 

  12. Duxbury, D.: Behavioral finance: insights from experiments I: theory and financial markets. Rev. Behav. Financ. (2015)

    Google Scholar 

  13. Hogarth, R.: Judgment and Choice. Wiley, Chichester, UK (1987)

    Google Scholar 

  14. Russo, J.E., Schoemaker, P. J. H.: Confident Decision Making: How to Make the Right Decision Every Time. Piatkus (1991)

    Google Scholar 

  15. Kengatharan, L., Kengatharan, N.: The influence of behavioral factors in making investment decisions and performance: Study on investors of Colombo Stock Exchange, Sri Lanka. Asian J. Financ. Account. 6(1), 1 (2014)

    Article  Google Scholar 

  16. Keswani, S., Dhingra, V., Wadhwa, B.: Impact of Behavioral Factors in Making Investment Decisions and Performance: Study on Investors of National Stock Exchange. Int. J. Econ. Financ. 11(8), 1–80 (2019)

    Article  Google Scholar 

  17. Fischhoff, B., Slovic, P., Lichtenstein, S.: Knowing with certainty: The appropriateness of extreme confidence. J. Exp. Psychol. Hum. Percept. Perform. 3(4), 552 (1977)

    Google Scholar 

  18. Fabre, B., François-Heude, A.: Optimism and overconfidence investors’ biases: a methodological note. Finance 30(1), 79–119 (2009)

    Article  Google Scholar 

  19. Fıçı, G.: Behavioural biases in investment decisions: a comparison between finance professionals and individual investors in Turkey. Bahçeşehir University Social Science Institute (2014)

    Google Scholar 

  20. Jain, R., Jain, P., Jain, C.: Behavioral biases in the decision making of individual investors. IUP J. Manag. Res. 14(3), 7 (2015)

    Google Scholar 

  21. Oberlechner, T., Osler, C.L.: Overconfidence in currency markets. Available SSRN 1108787 (2008)

    Google Scholar 

  22. Barber, B.M., Odean, T.: Boys will be boys: gender, overconfidence, and common stock investment. Q. J. Econ. 116(1), 261–292 (2001)

    Article  MATH  Google Scholar 

  23. Gervais, S., Odean, T.: Learning to be overconfident. Rev. Financ. Stud. 14(1), 1–27 (2001)

    Article  Google Scholar 

  24. Dominic, C., Gupta, A.: Psychological Factors Affecting Investors Decision Making (2020)

    Google Scholar 

  25. Tversky, A., Kahneman, D.: Prospect theory: an analysis of decision under risk. Econometrica 47(2), 263–291 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  26. Chang, C.-C., Chao, C.-H., Yeh, J.-H.: The role of buy-side anchoring bias: Evidence from the real estate market. Pacific-Basin Financ. J. 38, 34–58 (2016)

    Article  Google Scholar 

  27. Al-Gasaymeh, A., Almahadin, A., Alshurideh, M., Al-Zoubid, N., Alzoubi, H.: The Role of economic freedom in economic growth: evidence from the MENA region. Int. J. Innov. Creat. Chang. 13(10), 759–774 (2020)

    Google Scholar 

  28. Campbell, S.D., Sharpe, S.A.: Anchoring bias in consensus forecasts and its effect on market prices. J. Financ. Quant. Anal. 44(2), 369–390 (2009)

    Article  Google Scholar 

  29. Barberis, N., Huang, M.: Mental accounting, loss aversion, and individual stock returns. J. Finance 56(4), 1247–1292 (2001)

    Article  Google Scholar 

  30. Merkle, C.: Financial loss aversion illusion. Rev. Financ. 24(2), 381–413 (2020)

    Article  Google Scholar 

  31. Ngoc, L.T.B.: Behavior pattern of individual investors in stock market. Int. J. Bus. Manag. 9(1), 1 (2014)

    MathSciNet  Google Scholar 

  32. Coval, J.D., Shumway, T.: Do behavioral biases affect prices? J. Finance 60(1), 1–34 (2005)

    Article  Google Scholar 

  33. Hwang, S., Satchell, S.E.: How loss averse are investors in financial markets? J. Bank. Financ. 34(10), 2425–2438 (2010)

    Article  Google Scholar 

  34. Yang, J., Cashel-Cordo, P., Kang, J.G.: Empirical research on herding effects: case of real estate markets. J. Account. Financ. 20(1) (2020)

    Google Scholar 

  35. Shefrin, H.: Beyond greed and fear: understanding behavioral finance and the psychology of investing. Oxford University Press on Demand (2002)

    Google Scholar 

  36. Welch, I.: Herding among security analysts. J. Financ. Econ. 58(3), 369–396 (2000)

    Article  Google Scholar 

  37. Musshoff, O., Hirschauer, N.: A behavioral economic analysis of bounded rationality in farm financing decisions. Agric. Financ. Rev. (2011)

    Google Scholar 

  38. Shabgou, M., Mousavi, A.: Behavioral finance: behavioral factors influencing investors’ decisions making. Adv. Soc. Humanit. Manag. 3(1), 1–6 (2016)

    Google Scholar 

  39. Kallinterakis, V., Munir, N., Radovic-Markovic, M.: Herd behaviour, illiquidity and extreme market states: evidence from Banja Luka. J. Emerg. Mark. Financ. 9(3), 305–324 (2010)

    Article  Google Scholar 

  40. Anum, B.A.: Behavioral Factors and their Impact on Individual Investors Decision Making and Investment Performance (2017)

    Google Scholar 

  41. Remuzzi, A., Remuzzi, G.: COVID-19 and Italy: what next? Lancet (2020)

    Google Scholar 

  42. World Health Organization: WHO director-general’s opening remarks at the media briefing on covid-19—11 March 2020 (2020)

    Google Scholar 

  43. Ayittey, F.K., Ayittey, M.K., Chiwero, N.B., Kamasah, J.S., Dzuvor, C.: Economic impacts of Wuhan 2019‐nCoV on China and the world. J. Med. Virol. (2020)

    Google Scholar 

  44. Craven, M., Liu, L., Mysore, M., Wilson, M.: COVID-19: Implications for Business. McKinsey & Company (2020). https://www.mckinsey.com/business-functions/risk/our

  45. Al Kurdi, B., Alshurideh, M., Salloum, S.A., Obeidat, Z.M., Al-dweeri, R.M.: An empirical investigation into examination of factors influencing university students’ behavior towards elearning acceptance using SEM approach. Int. J. Interact. Mob. Technol. 14(02), 19–41 (2020)

    Google Scholar 

  46. Alshurideh, D.M.T.: A qualitative analysis of customer repeat purchase behaviour in the UK mobile phone market. J. Manag. Res. 6(1), 109 (2013)

    Google Scholar 

  47. Hsieh, H.-F., Shannon, S.E.: Three approaches to qualitative content analysis. Qual. Health Res. 15(9), 1277–1288 (2005)

    Article  Google Scholar 

  48. Ghannajeh, A.M., et al.: A qualitative analysis of product innovation in Jordan’s pharmaceutical sector. Eur. Sci. J. 11(4), 474–503 (2015)

    Google Scholar 

  49. Alshurideh, M.: Do we care about what we buy or eat? A practical study of the healthy foods eaten by Jordanian youth. Int. J. Bus. Manag. 9(4), 65 (2014)

    Article  Google Scholar 

  50. Alshurideh, M., Gasaymeh, A., Ahmed, G., Alzoubi, H., Kurd, B.: Loyalty program effectiveness: theoretical reviews and practical proofs. Uncertain Supply Chain Manag. 8(3), 599–612 (2020)

    Article  Google Scholar 

  51. AlMehrzi, A., Alshurideh, A., Al Kurdi, B.: Investigation of the key internal factors influencing knowledge management, employment, and organisational performance: a qualitative study of the UAE hospitality sector. Int. J. Innov. Creat. Chang. 14(1), 1369–1394 (2020)

    Google Scholar 

  52. Alhashmi, S.F.S., Alshurideh, M., Al Kurdi, B., Salloum, S.A.: A systematic review of the factors affecting the artificial intelligence implementation in the health care sector. In: Joint European-US Workshop on Applications of Invariance in Computer Vision, pp. 37–49 (2020)

    Google Scholar 

  53. Al Kurdi, B., Alshurideh, M., Salloum, S.: Investigating a theoretical framework for e-learning technology acceptance. Int. J. Electr. Comput. Eng. 10(6), 6484–6496 (2020)

    Google Scholar 

  54. Kurdi, B., Alshurideh, M., Alnaser, A.: The impact of employee satisfaction on customer satisfaction: theoretical and empirical underpinning. Manag. Sci. Lett. 10(15), 3561–3570 (2020)

    Article  Google Scholar 

  55. AlShurideh, M., Alsharari, N.M., Al Kurdi, B.: Supply chain integration and customer relationship management in the airline logistics, vol. 9, no. 02, pp. 392–414 (2019)

    Google Scholar 

  56. Ghannajeh, A., et al.: A qualitative analysis of product innovation in Jordan’s pharmaceutical sector. Eur. Sci. J. 11(4), 1857–7881 (2015)

    Google Scholar 

  57. Yousuf, H., Zainal, A.Y., Alshurideh, M., Salloum, S.A.: Artificial intelligence models in power system analysis. In: Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications, Springer, pp. 231–242.

    Google Scholar 

  58. Ashurideh, M.: Customer Service Retention—A Behavioural Perspective of the UK Mobile Market. Durham University (2010)

    Google Scholar 

  59. Kurdi: Healthy-Food Choice and Purchasing Behaviour Analysis: An Exploratory Study of Families in the UK. Durham University (2016)

    Google Scholar 

  60. AlShamsi, M., Salloum, S.A., Alshurideh, M., Abdallah, S.: Artificial Intelligence and Blockchain for Transparency in Governance. In: Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications, pp. 219–230. Springer

    Google Scholar 

  61. Al-Jarrah, I.M., Al-Zu’bi, Z.M.F., Jaara, O.O., Alshurideh, M.: Evaluating the impact of financial development on economic growth in Jordan. Int. Res. J. Financ. Econ. 94, 123–139 (2012)

    Google Scholar 

  62. Assad, N.F., Alshurideh, M.T.: Investment in context of financial reporting quality: a systematic review. WAFFEN-UND Kostumkd. J. 11(3), 255–286 (2020)

    Google Scholar 

  63. Assad, N.F., Alshurideh, M.T.: Financial reporting quality, audit quality, and investment efficiency: evidence from GCC economies. WAFFEN-UND Kostumkd. J. 11(3), 194–208 (2020)

    Google Scholar 

  64. Salloum, S.A., Alshurideh, M., Elnagar, A., Shaalan, K.: Machine learning and deep learning techniques for cybersecurity: a review. In: Joint European-US Workshop on Applications of Invariance in Computer Vision, pp. 50–57 (2020)

    Google Scholar 

  65. Salloum, S.A., Alshurideh, M., Elnagar, A., Shaalan, K.: Mining in educational data: review and future directions. In: Joint European-US Workshop on Applications of Invariance in Computer Vision, pp. 92–102 (2020)

    Google Scholar 

  66. Kvale, S.: InterViews: An Introduction to Qualitive Research Interviewing. Sage (1996)

    Google Scholar 

  67. Robson, C.: Real World Research: A Resource for Social Scientists and Practitioner-Researchers, vol. 2. Blackwell Oxford (2002)

    Google Scholar 

  68. Rahman, M., Gan, S.S.: Generation Y investment decision: an analysis using behavioural factors. Manag. Financ. (2020)

    Google Scholar 

  69. Metawa, N., Hassan, M.K., Metawa, S., Safa, M.F.: Impact of behavioral factors on investors’ financial decisions: case of the Egyptian stock market. Int. J. Islam. Middle East. Financ. Manag. (2019)

    Google Scholar 

  70. Furnham, A., Boo, H.C.: A literature review of the anchoring effect. J. Socio. Econ. 40(1), 35–42 (2011)

    Article  Google Scholar 

  71. Le Luong, P., Thi Thu Ha, D.: Behavioral factors influencing individual investors’ decision-making and performance: A survey at the Ho Chi Minh Stock Exchange (2011)

    Google Scholar 

  72. Kim, H.S., Jang, S.: CEO overconfidence and firm performance: the moderating effect of restaurant franchising. Cornell Hosp. Q., 1938965519899926 (2020)

    Google Scholar 

  73. Chen, Y.-R., Ho, K.-Y., Yeh, C.-W.: CEO overconfidence and corporate cash holdings. J. Corp. Financ., 101577 (2020)

    Google Scholar 

  74. Na, J., Kim, B., Sim, J.: COO’s overconfidence and the firm’s inventory performance. Prod. Plan. Control, 1–15 (2020)

    Google Scholar 

  75. Costa, D.F., de Melo Moreira, B.C., de Melo Carvalho, F., Silva, W.S.: Anchoring effect in managerial decision-making in accountants and managers: an experimental study. REBRAE 11(3), 425–445 (2018)

    Google Scholar 

  76. Benartzi, S., Thaler, R.H.: Myopic loss aversion and the equity premium puzzle. Q. J. Econ. 110(1), 73–92 (1995)

    Article  MATH  Google Scholar 

  77. Mehra, R., Prescott, E.C.: The equity premium: a puzzle. J. Monet. Econ. 15(2), 145–161 (1985)

    Article  Google Scholar 

  78. Kadan, O., Tang, X.: A bound on expected stock returns. Rev. Financ. Stud. 33(4), 1565–1617 (2020)

    Article  Google Scholar 

  79. Chang, C.-H., Lin, S.-J.: The effects of national culture and behavioral pitfalls on investors’ decision-making: Herding behavior in international stock markets. Int. Rev. Econ. Financ. 37, 380–392 (2015)

    Article  Google Scholar 

  80. Ghalandari, K., Ghahremanpour, J.: The effect of market variables and herding effect on investment decision as factor influencing investment performance in Iran. J. Basic Appl. Sci. Res. 3(3), 313–318 (2013)

    Google Scholar 

  81. Dewan, P., Dharni, K.: Herding behaviour in investment decision making: a review. J. Econ. Manag. Trade, 1–12 (2019)

    Google Scholar 

  82. Gourinchas, P.-O.: Flattening the pandemic and recession curves. Mitigating COVID Econ. Cris. Act Fast Do Whatever, p. 31 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. T. Alshurideh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Shah, S.F., Alshurideh, M.T., Al-Dmour, A., Al-Dmour, R. (2021). Understanding the Influences of Cognitive Biases on Financial Decision Making During Normal and COVID-19 Pandemic Situation in the United Arab Emirates. In: Alshurideh, M., Hassanien, A.E., Masa’deh, R. (eds) The Effect of Coronavirus Disease (COVID-19) on Business Intelligence. Studies in Systems, Decision and Control, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-030-67151-8_15

Download citation

Publish with us

Policies and ethics