Skip to main content

The Official Journal of the Pan-Pacific Association of Input-Output Studies (PAPAIOS)

Does the country’s political and economic risks trigger risk-taking behavior in the banking sector: a new insight from regional study

Abstract

This study specifically explores the effect of domestic political and economic risks on risk-taking in the banking sector for 105 countries operating in six various geographical regions between 2009 and 2017. To the best of our knowledge, this may be the first study that attempts to conduct this relationship from this perspective. Remarkably, the dynamic estimation results underscore that a rise in political and economic risks triggers risk-taking behavior in the banking sector globally, in particular in the OECD High-income region. Besides, the estimation results reveal that capital regulation, market power, and income diversification negatively impact risk-taking while credit risk, inefficiency, financial market development, and deposit insurance have a positive effect on risk-taking behavior. The results also stress that the extent of the effect of determinants and significance level vary by changing the region. The results are robust and have significant implications for policymakers and bank managers.

Introduction

It is well-documented that the banking sector’s stability plays an essential role in achieving financial stability and boosting economic growth (Stewart et al. 2021). Banking stability is a gauge to decide whether an economy is adequately resilient enough to resist both internal and external shocks and having safe and sound banking help avoid costly banking system crises and their negative consequences on the real economy. The historical evidence shows that those financial crises which had a stronger association with the banking sector had a more adverse impact on real economic growth. On the other hand, rising instability in the banking sector leads to decreasing the efficiency of resource allocation and increasing uncertainty about future output growth (Jokipii and Monnin 2013). Besides, deterioration in the banking sector stability has an unfavorable impact on the stability of financial markets and the real sector output. Christiano et al. (2010) and Campbell et al. (2016) underscored that disruption of the banking system decreases the ability of banks to lessen the asymmetric information effectively and there is a significant long-run nexus between banking instability and the credit-risk premium faced by businesses.

Over the last three decades, several scholars investigating the determinants of instability in the banking sector aimed to enhance stability and curb excessive taking risky activities. The studies revealed that the banking-specific factors, namely, capital requirements (Danisman and Demirel 2019), market power (Tabak et al. 2015), and income divarication (AlKhouri and Arouri 2019) negatively affect risk-taking, whereas inefficiency and credit risk has a positive effect on banks’ risk-taking (Hassan et al. 2019). Besides, Ioannidou and Penas (2010) and Athari and Bahreini (2021) highlighted that country-specific factors, namely, deposit insurance and financial market development positively impact banks’ risk-taking. More specifically, some studies showed that country risk factors have a significant effect on increasing bank instability. Rezgallah et al. (2019) and Athari (2021) revealed that banks are triggered to take excessive risky activities by a rising in domestic political risk to compensate for unexpected future losses and avoid earnings volatility. Calmes and Théoret (2014) and Athari (2021) also argued that banks by increasing economic instability have more incentive to take riskier investments as they have less ability to forecast better investment opportunities, have lower profitability, and are more exposed to adverse selection and moral hazard problems.

While the effect of political and economic instability has been analyzed, much less attention has been paid to how banking sectors are influenced extensively. This study contributes by the inclusion of novel the political risk index and economic risk index to empirically corroborate the existence of a nexus between the country’s risk factors and risk-taking in the banking sector. These indices are so comprehensive and also accurate proxies for measuring the political and economic risk factors.Footnote 1 Another novelty of this study is also to answer how risk-raking in the banking sector reacted to the domestic political and economic risks in the different geographical regions. Therefore, the objective of this study is to examine the impact of domestic political and economic risk indices, as well as other traditional factors, on risk-taking in the banking sector both regionally and globally. In our knowledge, this study is the first study to investigate this relationship from this perspective, and the findings open an entirely new discussion in the banking literature.

The article is organized as follows. Section 2 describes the data and methodology. Section 3 explains the results and discussions. Section 4 concludes the article.

Data and methodology

Data and descriptive statistics

The final sample of this study encompasses the banking sector of 105 countries during the 2009–2017 period. In choosing the period of the study and the final sample size, consideration is given to the availability and matching of data from sources including the World Bank and the International Monetary Fund (IMF). The countries in this study have been classified into different regions according to the World Bank classification. We collected specific data from the World Bank and International Monetary Fund (IMF) for the banking sector and country level in this study. Likewise, data for domestic political and economic risk indices were obtained from PRS.Footnote 2 There have been numerous studies (e.g., Kirikkaleli et al. 2021; Kondoz et al. 2021; Athari 2022b) suggesting that the PRS group data can be used to measure a country's vulnerability to political, economic, and financial risks. Moreover, we used the IMF database to measure deposit insurance across countries. Table 1 shows the variables, definitions, and sources.

Table 1 Variables’ descriptions

Table 2 presents the descriptive summary of variables and shows that earning volatility is relatively higher in Sub-Saharan Africa and Europe and Central Asia regions with a median of 0.641 and 0.677 than in other regions, respectively. Besides, it reveals Sub-Saharan Africa with a median of 54.542 and 31.500 and OECD High income with a median of 79.042 and 38.500 have the least and most political and economic stability environments, correspondingly.

Table 2 Descriptive summary (2009–2017)

Table 3 displays the Pearson correlation matrix. The correlation results imply that the multicollinearity problems are not considered severe. Table 3 also presents the Variance Inflation Factors (VIF), showing that multicollinearity is not a serious problem.

Table 3 Pearson correlation matrix

Methodology

Before performing analysis, we winsorized all using variables at the top and bottom 1% for each year to avoid outlier problems. Besides, as the data are at the country level, the existence of cross-sectional dependence among countries is tested. For estimating the model, this study follows the study by Rezgallah et al. (2019) and uses the dynamic panel data technique (GMM-System) (Arellano and Bover 1995; Blundell and Bond 1998) to avoid the endogeneity problems and unobserved country-fixed effects. As Rezgallah et al. (2019) argued, applying the System-GMM is more appropriate, because the System‐GMM estimator contains both the levels and the first difference equations and outperforms the Difference‐GMM methodology.Footnote 3 The specific following practical form is employed to test the determinants of risk-taking.

$${\text{Risk}}\,{\text{taking}}\,{ = }f{\text{(Banking}}\,{\text{sector}}\,{\text{specific,}}\,{\text{country}}\,{\text{level}}\,{)}$$

Following the recent study by Rezgallah et al. (2019) and Athari (2022a), we use the proxy of (σ(ROA)) for measuring the banking sector risk-taking. The banking sector-specific variables included capital regulation (RQ/RA); credit risk (NPL/GL); inefficiency (C/I); market power (LI); and income divarication (NI/TI). Besides, the country-level variables include financial market development (DC); deposit insurance (DI); political risk index (PRI); and economic risk index (ERI).

Equation (1) presents the expanded aforementioned practical form:

$${(\sigma \left(\mathrm{ROA})\right)}_{it \, }=\,{ \alpha }_{0}+{\alpha }_{1}{(\sigma (\mathrm{ROA}))}_{it-1}+ \, {\alpha }_{2}{\mathrm{RQ}/\mathrm{RA}}_{it}+ \, {\alpha }_{3}{\mathrm{NPL}/\mathrm{GL}}_{it}+ \, {\alpha }_{4}{\mathrm{C}/\mathrm{I}}_{it}+ \, {\alpha }_{5}{\mathrm{LI}}_{it}+ \, {\alpha }_{6}{\mathrm{NI}/\mathrm{TI}}_{it}+ \, {{\alpha }_{7}{\mathrm{DC}}_{it}+{{\alpha }_{8}{\mathrm{DI}}_{it} +\alpha }_{9}{\mathrm{PRI}}_{it}+{\alpha }_{10}{\mathrm{ERI}}_{it}+\varepsilon }_{it}$$
(1)

where it represents country and time, respectively. εit is an independent error term.

Empirical results

Table 4 shows that capital regulation (RQ/RA) negatively impacts risk-taking and banks with more capital are less exposed to moral hazard risk. Besides, the results support the study by Hassan et al. (2019) and reveal that credit risk (NPL/GL) positively impacts risk-taking, though the effect is pronounced in Europe and Central Asia region. Likewise, consistent with the bad management hypothesis, the results highlight that a rise in inefficiency (C/I) increases risk-taking, in particular, in Latin America and the Caribbean region. The results also confirm the structure-conduct performance hypothesis and show that banks with more market power (LI) have less risk-taking behavior, especially in the Middle East and North Africa region. Furthermore, Table 4 shows that income divarication (NI/TI) negatively impacts risk-taking. Moreover, the results highlight that financial development (DC) and deposit insurance (DI) positively impact risk-taking.

Table 4 Effect of political and economic risks on banking sector risk-taking in the different regions (2009–2017)

Table 4 also reveals that a rise in political (PRI) and economic (ERI) instabilities leads to rising risk-taking, especially in the OECD High-income region. This finding supports prior studies (e.g., Chi and Li 2017; Athari 2021, 2022a; Uddin et al. 2020) and indicates that banks with rising political and economic risks are likely to involve excessive risk-taking activities to offset unpredicted future losses and prevent earnings volatility. Results also imply that banking sectors react differently to the rise of political and economic risk factors depending on the geographical region. In line with the findings of previous studies (Calmes and Théoret 2014; Belkhir et al. 2019), banking sectors that operate in more politically and economically stable environments are less exposed to profitability decline, credit risk, assets volatility, adverse selection and moral hazard problems, and also have more ability to predict better investment opportunities. In addition, banking managers have less motivation to take excessive risky actions to compensate for unexpected losses as countries are less vulnerable to political and economic risks.

Robustness check

This study re-estimates Eq. 1 by applying the new proxies of the “bank capital to total assets” (C/TA), “bank overhead costs to total assets” (OC/TA), and “political stability” (PS) from World Bank for measuring capital regulation, inefficiency, and political stability, respectively. Table 5 shows that the results are similar to those presented in Table 4. Besides, it conducted the Hansen, Sargan, and serial correlation [AR (2)] diagnostic tests for examining the validity of the estimated models.

Table 5 Robustness test

Similar to the recent study by Athari and Bahreini (2021), we also performed the Granger causality test to control the direction of linkage between the studied factors. As shown in Table 6, there is statistically significant evidence of Granger causality from the set of independent variables (capital regulation, credit risk, inefficiency, market power, income divarication, financial development, deposit insurance, political risk, economic risk) to banking sector risk‐taking in the panel countries. This suggests the historical information of the examining explanatory variables is capable of suggesting future information about banking sector risk‐taking in the panel countries.

Table 6 Granger causality test

Conclusions

This study empirically investigates the effect of domestic political and economic risk indices on risk-taking in the banking sector for 105 countries operating in six different geographical regions. The results show that a rise in political and economic risks leads to increased risk-taking in the banking sector globally; however, the extent of the effect varies depending on geographical region. Besides, the results support the prior studies and indicate that the traditional banking sector and country-specific factors are significant drivers of risk-taking in the banking sector both regionally and internationally.

The results suggest that policymakers to increase financial stability and boost economic growth should be provided more politically and economically stable environments by decreasing internal and external conflicts, corruption, religious and ethnic tensions, and inflation and also increasing government stability, democratic accountability, bureaucracy quality, and GDP growth. Otherwise, having political and economic unstable environments would be deteriorated banking sector stability, which has an unfavorable effect on the stability of financial markets and the real sector output. For further study. It would be interesting to consider the impact of global volatility risk and also a geopolitical risk on the banking sector risk-taking of economies.

Availability of data and materials

The data sets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Notes

  1. See Athari (2021).

  2. www.prsgroup.com.

  3. We found similar results by the Difference‐GMM panel data technique though the GMM-System results are only reported.

References

  • AlKhouri R, Arouri H (2019) The effect of diversification on risk and return in banking sector. Int J of Manag Financ 15:100–128

    Google Scholar 

  • Arellano M, Bover O (1995) Another look at the instrumental variable estimation of error-components models. J Econ 68:29–51

    Article  Google Scholar 

  • Athari SA (2021) Domestic political risk, global economic policy uncertainty, and banks’ profitability: evidence from Ukrainian banks. Post-Communist Econ 33(4): 458-483. https://doi.org/10.1080/14631377.2020.1745563

    Article  Google Scholar 

  • Athari SA (2022a) Financial inclusion, political risk, and banking sector stability: evidence from different geographical regions. Econ Bull 42(1):99–108

    Google Scholar 

  • Athari SA (2022b) Examining the impacts of environmental characteristics on Shariah-based bank’s capital holdings: role of country risk and governance quality. Economics 9(1):99–109

    Google Scholar 

  • Athari SA, Bahreini M (2021) The impact of external governance and regulatory settings on the profitability of Islamic banks: evidence from Arab markets. Int J Financ Econ. https://doi.org/10.1002/ijfe.2529

    Article  Google Scholar 

  • Belkhir M, Grira J, Hassan MK, Soumaré I (2019) Islamic banks and political risk: international evidence. Q Rev Econ Finance 74:39–55

    Article  Google Scholar 

  • Blundell R, Bond S (1998) Initial conditions and moment restrictions in dynamic panel data models. J Econ 87:115–143

    Article  Google Scholar 

  • Calmes C, Théoret R (2014) Bank systemic risk and macroeconomic shocks: Canadian and US evidence. J Bank Financ 40:388–402

    Article  Google Scholar 

  • Campbell G, Coyle C, Turner JD (2016) This time is different: causes and consequences of British banking instability over the long run. J Financ Stab 27:74–94

    Article  Google Scholar 

  • Chi Q, Li W (2017) Economic policy uncertainty, credit risks and banks’ lending decisions: evidence from Chinese commercial banks. China J Account Res 10:33–50

    Article  Google Scholar 

  • Christiano LJ, Motto R, Rostagno M (2010) Financial Factors in Economic Fluctuations. ECB Working Paper No 1192 https://doi.org/10.2139/ssrn.1600166

  • Danisman GO, Demirel P (2019) Bank risk-taking in developed countries: the influence of market power and bank regulations. J Int Finan Markets Inst Money 59:202–217

    Article  Google Scholar 

  • Hassan MK, Khan A, Paltrinieri A (2019) Liquidity risk, credit risk and stability in Islamic and conventional banks. Res Int Bus Financ 48:17–31

    Article  Google Scholar 

  • Ioannidou VP, Penas MF (2010) Deposit insurance and bank risk-taking: evidence from internal loan ratings. J Financ Intermed 19:95–115

    Article  Google Scholar 

  • Jokipii T, Monnin P (2013) The impact of banking sector stability on the real economy. J Int Money Financ 32:1–16

    Article  Google Scholar 

  • Kirikkaleli D, Athari SA, Ertugrul HM (2021) The real estate industry in Turkey: a time series analysis. Serv Ind J 41(5–6):427–439

    Article  Google Scholar 

  • Kondoz M, Kirikkaleli D, Athari SA (2021) Time-frequency dependencies of financial and economic risks in South American countries. Q Rev Econ Finance 79:170–181

    Article  Google Scholar 

  • Rezgallah H, Özataç N, Katircioğlu S (2019) The impact of political instability on risk-taking in the banking sector: international evidence using a dynamic panel data model (System-GMM). Manag Decis Econ 40:891–906

    Article  Google Scholar 

  • Stewart R, Chowdhury M, Arjoon V (2021) Bank stability and economic growth: trade-offs or opportunities? Empir Econ 61(2): 827–853. https://doi.org/10.1007/s00181-020-01886-4

    Article  Google Scholar 

  • Tabak BM, Gomes GM, da Silva Medeiros Jr, M. (2015) The impact of market power at bank level in risk-taking: the Brazilian case. Int Rev Financ Anal 40:154–165

    Article  Google Scholar 

  • Uddin A, Chowdhury MAF, Sajib SD, Masih M (2020) Revisiting the impact of institutional quality on post-GFC bank risk-taking: evidence from emerging countries. Emerg Mark Rev 42:100659

    Article  Google Scholar 

Download references

Acknowledgements

The manuscript should not be submitted to more than one journal for simultaneous consideration.

Funding

No funding was received for conducting this study.

Author information

Authors and Affiliations

Authors

Contributions

SAA: data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, software, supervision, writing—original draft, writing—review and editing. FI: conceptualization, investigation, validation. Both authors read and approved the final manuscript.

Corresponding author

Correspondence to Seyed Alireza Athari.

Ethics declarations

Competing interests

No potential competing interests was reported by the authors.

Additional information

Publisher's Note

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

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Athari, S.A., Irani, F. Does the country’s political and economic risks trigger risk-taking behavior in the banking sector: a new insight from regional study. Economic Structures 11, 32 (2022). https://doi.org/10.1186/s40008-022-00294-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40008-022-00294-4

Keywords

  • Risk-taking behavior
  • Banking sector
  • Political risk
  • Economic risk
  • Regional study

JEL Classification

  • G15
  • G21
  • G28