Skip to main content
Log in

How language shapes bank risk taking

  • Published:
Journal of Financial Services Research Aims and scope Submit manuscript

Abstract

We analyze the impact of language on risk-taking behavior of banks. Languages that grammatically distinguish between present and future events make the future feel more distant than the present and as thus favor a less future-oriented behavior (Chen, American Economic Review, 2013). Our hypothesis is that these languages lead banks to take more risk since they reduce the perception of potential losses associated with risky activities. We investigate this hypothesis on a sample of 1401 banks from 81 countries over the 2010–2017 period. We perform random effects regressions of bank risk, measured by the Z-score, on the type of language. We find that banks from countries with future tense marking take more risk in accordance with our prediction. This finding is robust to the inclusion of alternative culture indicators, to alternative definitions of bank risk and of future time reference. We also observe that future tense marking is associated with greater occurrence of banking crises. Our conclusion is thus that language contributes to explain the cross-country differences in bank risk-taking.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Notes

  1. English speakers can sometimes speak about future events with a non-future tense verb (for e.g. “the teacher arrives tomorrow”). However, as documented by Copley (2009), this way of speaking is only used when speakers want to talk about planned/scheduled/habitual events, or events arising from law-like properties of the world.

  2. It is worth noting that Germans can make reference to the future with the future tense marker “werden”. However, in German, like in other weak-FTR languages, speakers are not required to use this future tense marker every time they talk.

  3. See Lancaster (2000) for a review of the incidental parameter problem.

  4. For example, the 2017 Corruption Perception Index is constructed using 13 different data sources from 12 institutions, such as African Development Bank, Work Bank, World Economic Forum, and among others.

References

  • Adhikari BK, Agrawal A (2016) Does local religiosity matter for Bank risk-taking? J Corp Finan 38:272–293

    Google Scholar 

  • Ashraf BN (2017) Political institutions and Bank risk-taking behavior. J Financ Stab 29:13–35

    Google Scholar 

  • Bae KH, Goyal VK (2009) Creditor rights, Enforcement, and Bank Loans. Journal of Finance 64(2):823–860

    Google Scholar 

  • Baltagi BH (2005) Econometric analysis of panel data. John Wiley and Sons, Chichester

    Google Scholar 

  • Barth JR, Caprio G Jr, Levine R (2004) Bank regulation and supervision: what works best? J Financ Intermed 13(2):205–248

    Google Scholar 

  • Barth JR, Caprio G Jr, Levine R (2013) Bank regulation and supervision in 180 countries from 1999 to 2011. Journal of Financial Economic Policy 5:111–219

    Google Scholar 

  • Berger A, Klapper L, Turk-Ariss R (2009) Bank competition and financial stability. J Financ Serv Res 35(2):99–118

    Google Scholar 

  • Boroditsky L (2001) Does language shape thought?: mandarin and English speakers’ conceptions of time. Cogn Psychol 43:1–22

    Google Scholar 

  • Bouvatier V, Lepetit L (2008) Banks' procyclical behavior: does provisioning matter? Journal of International Financial Markets, Institutions & Money 18:513–526

    Google Scholar 

  • Chen MK (2013) The effect of language on economic behavior: evidence from savings rates, health behaviors, and retirement assets. Am Econ Rev 103:690–731

    Google Scholar 

  • Chen M, Jeon BN, Wang R, Wu J (2015) Corruption and Bank risk-taking: evidence from emerging economies. Emerg Mark Rev 24:122–148

    Google Scholar 

  • Chen S, Cronqvist H, Ni S, Zhang F (2017) Languages and corporate savings behavior. J Corp Finan 46:320–341

    Google Scholar 

  • Copley, B., 2009. The semantics of the future. Routledge

  • De Jonghe O, Disli M, Schoors K (2012) Corporate governance, opaque Bank activities, and risk-return efficiency: pre- and post-crisis evidence from Turkey. J Financ Serv Res 41(1):51–80

    Google Scholar 

  • Demirgüc-Kunt A, Detragiache E (1998) The determinants of banking crises in developing and developed countries. IMF Staff Pap 45(1):81–109

    Google Scholar 

  • Foos D, Norden L, Weber M (2010) Loan growth and riskiness of banks. J Bank Financ 34:2929–2940

    Google Scholar 

  • Frederick S, Loewenstein G, O'Donoghue T (2002) Time discounting and time preference: a critical review. J Econ Lit 40(2):351–401

    Google Scholar 

  • Fungacova Z, Kochanova A, Weill L (2015) Does money buy credit? Firm-level evidence on bribery and Bank debt. World Dev 68:308–322

    Google Scholar 

  • Gaganis C, Hasan I, Papadimitri G, Tasiou M (2018) National Culture and risk-taking: evidence from the insurance industry. J Bus Res 97:104–116

    Google Scholar 

  • Guiso L, Sapienza P, Zingales L (2006) Does culture affect economic outcomes? J Econ Perspect 20(2):23–48

    Google Scholar 

  • Guiso L, Sapienza P, Zingales L (2008) Trusting the stock market. J Financ 63(6):2557–2600

    Google Scholar 

  • Gumperz JJ, Levinson SC (1991) Rethinking Linguistic Relativity Current Anthropology 32:613–623

    Google Scholar 

  • Halek M, Eisenhauer JG (2001) Demography of risk aversion. Journal of Risk and Insurance 68:1–24

    Google Scholar 

  • Hilary G, Hui KW (2009) Does religion matter in corporate decision making in America? J Financ Econ 93:455–473

    Google Scholar 

  • Hofstede G (1980) Culture's consequences: international differences in work-related values. Sage, Thousand Oaks

    Google Scholar 

  • Hofstede G (2001) Culture’s consequences: comparing values, behaviors, institutions and organizations across nations. Sage, Thousand Oaks

    Google Scholar 

  • Houston JF, Lin C, Lin P, Ma Y (2010) Creditor rights, information sharing, and Bank risk taking. J Financ Econ 96:485–512

    Google Scholar 

  • Iyer S (2016) The new economics of religion. J Econ Lit 54(2):395–441

    Google Scholar 

  • Kay P, Kempton W (1984) What is the Sapir-Whorf hypothesis? Am Anthropol 86:65–79

    Google Scholar 

  • Klein PO, Turk-Ariss R, Weill L (2017) Religiosity vs. Well-Being Effects on Investor Behavior. Journal of Economic Behavior and Organization 138:50–62

    Google Scholar 

  • Klomp J (2009) Causes of banking crises revisited. N Am J Econ Financ 21(1):72–87

    Google Scholar 

  • Körner T (2017) Board accountability and risk taking in banking: evidence from a quasi-experiment. J Financ Serv Res 52(3):155–190

    Google Scholar 

  • Kumar A, Page JK, Spalt OG (2011) Religious Beliefs, Gambling Attitudes, and Financial Market Outcomes. Journal of Financial Economics 102:671–708

    Google Scholar 

  • Kwok CC, Tadesse S (2006) National Culture and financial systems. J Int Bus Stud 37:227–247

    Google Scholar 

  • La Porta R, Lopez-de-Silanes F, Shleifer A (2008) The economic consequences of legal origins. J Econ Lit 46:285–332

    Google Scholar 

  • La Porta R, Lopez-de-Silanes F, Shleifer A, Vishny RW (1997) Trust in Large Organizations. Am Econ Rev Pap Proc 87(2):333–338

    Google Scholar 

  • Laeven L, Levine R (2009) Bank governance, regulation and risk taking. J Financ Econ 93:259–275

    Google Scholar 

  • Laeven L, Majnoni G (2003) Loan loss provisioning and economic slowdowns: too much, too late? J Financ Intermed 12:178–197

    Google Scholar 

  • Laeven L, Valencia F (2018) Systemic banking crises revisited. IMF working paper n°18/2016

  • Lancaster T (2000) The incidental parameter problem since 1948. J Econ 95:391–413

    Google Scholar 

  • Li K, Griffin F, Yue H, Zhao L (2013) How does culture influence corporate risk-taking? J Corp Finan 23:1–22

    Google Scholar 

  • Liang H, Marquis C, Renneboog L, Sun SL (2014) Speaking of corporate social responsibility. CentER discussion paper series no. 2014-023

  • Mavisakalyan A, Tarverdi Y, Weber C (2018) Talking in the present, Caring For the Future: Language and Environment. Journal of Comparative Economics 46(4):1370–1387

    Google Scholar 

  • Mavisakalyan A, Weber C (2018) Linguistic structures and economic outcomes. J Econ Surv 32(3):916–939

    Google Scholar 

  • Pathan S (2009) Strong boards, CEO power and Bank risk-taking. J Bank Financ 33:1340–1350

    Google Scholar 

  • Regier T, Kay P (2009) Language, thought, and color: Whorf was half right. Trends Cogn Sci 13:439–446

    Google Scholar 

  • Sapir E (1929) The status of linguistics as a science. Language 5:207. https://doi.org/10.2307/409588

    Article  Google Scholar 

  • Slobin DI (2003) Language and thought online: cognitive consequences of linguistic relativity. Language in Mind: Advances in the Study of Language and Thought 157:178

    Google Scholar 

  • Treiman D (2009) Quantitative data analysis. Doing social research to test ideas. Jossey-Bass, San Francisco

    Google Scholar 

  • Wezel T, Chan Lau JA, Columba F (2012) Dynamic loan loss provisioning: simulations on effectiveness and guide to implementation. IMF working paper, WP/12/110

  • Whorf BL (1956) Language, thought and reality. Selected writing: of Benjamín lee Whorf. Cambridge MA MIT Press

  • Wooldridge J (2010) Econometric analysis of cross section and panel data. MIT Press, Cambridge

    Google Scholar 

  • Winawer J, Witthoft N, Frank MC, Wu L, Wade AR, Boroditsky L (2007) Russian blues reveal effects of language on color discrimination. Proc Natl Acad Sci 104:7780–7785

    Google Scholar 

  • Zak P, Knack S (2001) Trust and growth. Economic Journal 111(470):295–321

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Laurent Weill.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

Table 10 Definitions and sources of variables

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Osei-Tutu, F., Weill, L. How language shapes bank risk taking. J Financ Serv Res 59, 47–68 (2021). https://doi.org/10.1007/s10693-020-00335-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10693-020-00335-8

Keywords

JEL Classification

Navigation