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Do Risky Scenarios Affect Forecasts of Savings and Expenses?

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  • Shari De Baets

    (Department of Business Informatics and Operations Management, Faculty of Economics and Business Administration, Ghent University, 9000 Ghent, Belgium)

  • Dilek Önkal

    (Department of Marketing, Operations and Systems, Newcastle Business School, Northumbria University, Newcastle upon Tyne NE1 8ST, UK)

  • Wasim Ahmed

    (Management School, University of Stirling, Stirling FK9 4LA, UK)

Abstract

Many people do not possess the necessary savings to deal with unexpected financial events. People’s biases play a significant role in their ability to forecast future financial shocks: they are typically overoptimistic, present-oriented, and generally underestimate future expenses. The purpose of this study is to investigate how varying risk information influences people’s financial awareness, in order to reduce the chance of a financial downfall. Specifically, we contribute to the literature by exploring the concept of ‘nudging’ and its value for behavioural changes in personal financial management. While of great practical importance, the role of nudging in behavioural financial forecasting research is scarce. Additionally, the study steers away from the standard default choice architecture nudge, and adds originality by focusing on eliciting implementation intentions and precommitment strategies as types of nudges. Our experimental scenarios examined how people change their financial projections in response to nudges in the form of new information on relevant risks. Participants were asked to forecast future expenses and future savings. They then received information on potential events identified as high-risk, low-risk or no-risk. We investigated whether they adjusted their predictions in response to various risk scenarios or not and how such potential adjustments were affected by the information given. Our findings suggest that the provision of risk information alters financial forecasting behaviour. Notably, we found an adjustment effect even in the no-risk category, suggesting that governments and institutions concerned with financial behaviour can increase financial awareness merely by increasing salience about possible financial risks. Another practical implication relates to splitting savings into different categories, and by using different wordings: A financial advisory institution can help people in their financial behaviour by focusing on ‘targets’, and by encouraging (nudging) people to make breakdown forecasts rather than general ones.

Suggested Citation

  • Shari De Baets & Dilek Önkal & Wasim Ahmed, 2022. "Do Risky Scenarios Affect Forecasts of Savings and Expenses?," Forecasting, MDPI, vol. 4(1), pages 1-28, February.
  • Handle: RePEc:gam:jforec:v:4:y:2022:i:1:p:17-334:d:755042
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    References listed on IDEAS

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    1. Richard H. Thaler & Shlomo Benartzi, 2004. "Save More Tomorrow (TM): Using Behavioral Economics to Increase Employee Saving," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 164-187, February.
    2. García, Jesús María & Vila, José, 2020. "Financial literacy is not enough: The role of nudging toward adequate long-term saving behavior," Journal of Business Research, Elsevier, vol. 112(C), pages 472-477.
    3. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    4. Yaniv, Ilan & Schul, Yaacov, 2000. "Acceptance and Elimination Procedures in Choice: Noncomplementarity and the Role of Implied Status quo," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(2), pages 293-313, July.
    5. Michal Grinstein-Weiss & Blair D. Russell & William G. Gale & Clinton Key & Dan Ariely, 2017. "Behavioral Interventions to Increase Tax-Time Saving: Evidence from a National Randomized Trial," Journal of Consumer Affairs, Wiley Blackwell, vol. 51(1), pages 3-26, March.
    6. Annamaria Lusardi & Olivia S Mitchelli, 2007. "Financial Literacy and Retirement Preparedness: Evidence and Implications for Financial Education," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 42(1), pages 35-44, January.
    7. Hummel, Dennis & Maedche, Alexander, 2019. "How effective is nudging? A quantitative review on the effect sizes and limits of empirical nudging studies," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 80(C), pages 47-58.
    8. Thaler, Richard, 1981. "Some empirical evidence on dynamic inconsistency," Economics Letters, Elsevier, vol. 8(3), pages 201-207.
    9. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    10. Grażyna Szustak & Witold Gradoń & Łukasz Szewczyk, 2021. "Household Financial Situation during the COVID-19 Pandemic with Particular Emphasis on Savings—An Evidence from Poland Compared to Other CEE States," Risks, MDPI, vol. 9(9), pages 1-15, September.
    11. Annamaria Lusardi & Olivia Mitchell, 2006. "Financial Literacy and Retirement Preparedness: Evidence and Implications for Financial Education Programs," Working Papers wp144, University of Michigan, Michigan Retirement Research Center.
    12. Krupnikov, Yanna & Levine, Adam Seth, 2014. "Cross-Sample Comparisons and External Validity," Journal of Experimental Political Science, Cambridge University Press, vol. 1(1), pages 59-80, April.
    13. Löfgren, Åsa & Nordblom, Katarina, 2020. "A theoretical framework of decision making explaining the mechanisms of nudging," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 1-12.
    14. Goodwin, Paul & Gönül, M. Sinan & Önkal, Dilek, 2019. "When providing optimistic and pessimistic scenarios can be detrimental to judgmental demand forecasts and production decisions," European Journal of Operational Research, Elsevier, vol. 273(3), pages 992-1004.
    15. Satterfield, Terre & Slovic, Paul & Gregory, Robin, 2000. "Narrative valuation in a policy judgment context," Ecological Economics, Elsevier, vol. 34(3), pages 315-331, September.
    16. Brounen, Dirk & Koedijk, Kees G. & Pownall, Rachel A.J., 2016. "Household financial planning and savings behavior," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 95-107.
    17. Cass R. Sunstein, 2019. "Correction to: Nudging: a very short guide," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 54(2), pages 130-130, April.
    18. George Loewenstein & Drazen Prelec, 1992. "Anomalies in Intertemporal Choice: Evidence and an Interpretation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 573-597.
    19. George-Marios Angeletos & David Laibson & Andrea Repetto & Jeremy Tobacman & Stephen Weinberg, 2001. "The Hyberbolic Consumption Model: Calibration, Simulation, and Empirical Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 47-68, Summer.
    20. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    21. Abigail B. Sussman & Adam L. Alter, 2012. "The Exception Is the Rule: Underestimating and Overspending on Exceptional Expenses," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(4), pages 800-814.
    22. Tam, Leona & Dholakia, Utpal M., 2011. "Delay and duration effects of time frames on personal savings estimates and behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 114(2), pages 142-152, March.
    23. John G. Lynch Jr. & Richard G. Netemeyer & Stephen A. Spiller & Alessandra Zammit, 2010. "A Generalizable Scale of Propensity to Plan: The Long and the Short of Planning for Time and for Money," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(1), pages 108-128, June.
    24. Mindaugas Leika & Daniela Marchettini, 2017. "A Generalized Framework for the Assessment of Household Financial Vulnerability," IMF Working Papers 2017/228, International Monetary Fund.
    25. Wright, George & Goodwin, Paul, 2009. "Decision making and planning under low levels of predictability: Enhancing the scenario method," International Journal of Forecasting, Elsevier, vol. 25(4), pages 813-825, October.
    26. Canova, Luigina & Rattazzi, Anna Maria Manganelli & Webley, Paul, 2005. "The hierarchical structure of saving motives," Journal of Economic Psychology, Elsevier, vol. 26(1), pages 21-34, February.
    27. Mullinix, Kevin J. & Leeper, Thomas J. & Druckman, James N. & Freese, Jeremy, 2015. "The Generalizability of Survey Experiments," Journal of Experimental Political Science, Cambridge University Press, vol. 2(2), pages 109-138, January.
    28. Ross Levine & Chen Lin & Mingzhu Tai & Wensi Xie, 2021. "How Did Depositors Respond to COVID-19? [A crisis of banks as liquidity providers]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5438-5473.
    29. Hendy, Patrick & Slonim, Robert & Atalay, Kadir, 2021. "Unsticking credit card repayments from the minimum: Advice, anchors and financial incentives," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    30. Richard G Netemeyer & Dee Warmath & Daniel Fernandes & John G LynchJr. & Eileen FischerEditor & Olivier ToubiaAssociate Editor, 2018. "How Am I Doing? Perceived Financial Well-Being, Its Potential Antecedents, and Its Relation to Overall Well-Being," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 45(1), pages 68-89.
    31. Richard H. Thaler & Cass R. Sunstein, 2023. "Libertarian paternalism," Chapters, in: Cass R. Sunstein & Lucia A. Reisch (ed.), Research Handbook on Nudges and Society, chapter 1, pages 10-16, Edward Elgar Publishing.
    32. Raj Chetty & John N. Friedman & Soren Leth-Petersen & Torben Heien Nielsen & Tore Olsen, 2013. "Subsidies vs. Nudges: Which Policies Increase Saving the Most?," Issues in Brief ib2013-3, Center for Retirement Research.
    33. Cass R. Sunstein, 2019. "Nudging: a very short guide," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 54(2), pages 127-129, April.
    34. Önkal, Dilek & Sayım, Kadire Zeynep & Gönül, Mustafa Sinan, 2013. "Scenarios as channels of forecast advice," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 772-788.
    35. Eric Johnson & Suzanne Shu & Benedict Dellaert & Craig Fox & Daniel Goldstein & Gerald Häubl & Richard Larrick & John Payne & Ellen Peters & David Schkade & Brian Wansink & Elke Weber, 2012. "Beyond nudges: Tools of a choice architecture," Marketing Letters, Springer, vol. 23(2), pages 487-504, June.
    36. Rebecca Ratner & Dilip Soman & Gal Zauberman & Dan Ariely & Ziv Carmon & Punam Keller & B. Kim & Fern Lin & Selin Malkoc & Deborah Small & Klaus Wertenbroch, 2008. "How behavioral decision research can enhance consumer welfare: From freedom of choice to paternalistic intervention," Marketing Letters, Springer, vol. 19(3), pages 383-397, December.
    37. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    38. Antonides, Gerrit & Manon de Groot, I. & Fred van Raaij, W., 2011. "Mental budgeting and the management of household finance," Journal of Economic Psychology, Elsevier, vol. 32(4), pages 546-555, August.
    39. Crawford, Megan M., 2019. "A comprehensive scenario intervention typology," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    40. Romain Cadario & Pierre Chandon, 2020. "Which Healthy Eating Nudges Work Best? A Meta-Analysis of Field Experiments," Marketing Science, INFORMS, vol. 39(3), pages 465-486, May.
    41. Christian Weller & Amanda Logan, 2009. "Measuring Middle Class Economic Security," Journal of Economic Issues, Taylor & Francis Journals, vol. 43(2), pages 327-336.
    42. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
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