“Lazy banks” and “Safe asset” Hypothesis: Is it the answer for Public Debt and Financial Development Indicators Puzzle in Emerging Markets?

  • Morad ABDEL-HALIM University of Jordan
  • Ghazi AL-ASSAF University of Jordan
Keywords: Safe Asset, Lazy Banks, Bias Correction Fixed Effects, Financial Development.

Abstract

This paper investigates the role of public debt in financial development in an emerging market namely, Jordan. Based on previous empirical research, we test the empirical prediction of two hypotheses for the role of public debt: “safe asset” vs “lazy banks”. Using annual data over the period of 2008 to 2018 and using the Fixed Effect (FE) and Bias Correction Fixed Effects (BCFE) methodologies that control for both unobservable banks specific and time-specific variables. We find that public debt has a positive impact on financial development after controlling for Banks size, Banks risk. ROA, Capital Adequacy, and Banks Capitalization.  The results provide weak evidence consistent with the “Safe Asset” hypothesis that banks choose to invest in treasury securities as safe assets.

References

[1] Abedifar, P., Molyneux, P., & Tarazi, A. (2018). Non-interest income and bank lending. Journal of Banking & Finance, 87, 411-426.
[2] Albertazzi, U., & Bottero, M. (2014). Foreign bank lending: evidence from the global financial crisis. Journal of International Economics, 92, S22-S35.
[3] Beck, T., Levine, R., & Loayza, N. (2000). Finance and the Sources of Growth. Journal of financial economics, 58(1-2), 261-300.
[4] Behr, P., Norden, L., & Noth, F. (2013). Financial constraints of private firms and bank lending behavior. Journal of banking & finance, 37(9), 3472-3485.
[5] Blundell, R., Bond, S., & Windmeijer, F. (2001). Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator. Emerald Group Publishing Limited.
[6] Bond, S. R. (2002). Dynamic panel data models: a guide to microdata methods and practice. Portuguese economic journal, 1(2), 141-162.
[7] Boyd, J., Levine, R., Smith, B., (2001). The impact of inflation on financial sector performance. Journal of Monetary Economics 47, 221–248.
[8] Bun, M. J., & Carree, M. A. (2005). Bias-corrected estimation in dynamic panel data models. Journal of Business & economic statistics, 23(2), 200-210.
[9] Carranza, L., Galdon‐Sanchez, J. E., & Gomez‐Biscarri, J. (2010). Understanding the relationship between financial development and monetary policy. Review of International Economics, 18(5), 849-864.
[10] Čihák, M., Demirgüč-Kunt, A., Feyen, E., & Levine, R. (2013). Financial development in 205 economies, 1960 to 2010 (No. w18946). National Bureau of Economic Research.
[11] Everaert, G., & Pozzi, L. (2007). Bootstrap-based bias correction for dynamic panels. Journal of Economic Dynamics and Control, 31(4), 1160-1184.
[12] De Vos, I., Everaert, G., & Ruyssen, I. (2015). Bootstrap-based bias correction and inference for dynamic panels with fixed effects. The Stata Journal, 15(4), 986-1018.
[13] Fry, W. (1995). Money, Interest, and Banking in Economic Development. Canadian Journal of Development Studies, 16, 312-312.
[14] Hauner D. (2009). Public debt and financial development. Journal of Development Economics 88, 171–183.
[15] Ismihan, M., & Ozkan, F. G. (2012). Public debt and financial development: A theoretical exploration. Economics Letters, 115(3), 348-351.
[16] Kishan, R. P., & Opiela, T. P. (2006). Bank capital and loan asymmetry in the transmission of monetary policy. Journal of Banking & Finance, 30(1), 259-285.
[17] Kiviet, J. F. (1995). On bias, inconsistency, and efficiency of various estimators in dynamic panel data models. Journal of econometrics, 68(1), 53-78.
[18] King, R., Levine, R., (1993). Finance and growth: Schumpeter might be right. Quarterly Journal of Economics 108, 717–737.
[19] Kumhof, M., & Tanner, E. (2005). Government debt: a key role in financial intermediation. IMF Working Paper WP/05/57, International Monetary Fund, Washington D.C.
[20] Levine, R. (2002). Bank-based or market-based financial systems: which is better? Journal of financial intermediation, 11(4), 398-428.
[21] Mishra, P., Montiel, P., Pedroni, P., & Spilimbergo, A. (2014). Monetary policy and bank lending rates in low-income countries: Heterogeneous panel estimates. Journal of Development Economics, 111, 117-131.
[22] Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica: Journal of the econometric society, 1417-1426.
[23] Popov, A., & Van Horen, N. (2015). Exporting sovereign stress: Evidence from syndicated bank lending during the euro area sovereign debt crisis. Review of Finance, 19(5), 1825-1866.‏
[24] Qian, J., Strahan, P. E., & Yang, Z. (2015). The impact of incentives and communication costs on information production and use: Evidence from bank lending. The Journal of Finance, 70(4), 1457-1493.
[25] Roodman, D. (2009). A note on the theme of too many instruments. Oxford Bulletin of Economics and Statistics, 71(1), 135-158.
[26] Sanfilippo-Azofra, S., Torre-Olmo, B., Cantero-Saiz, M., & López-Gutiérrez, C. (2018). Financial development and the bank lending channel in developing countries. Journal of Macroeconomics, 55, 215-234.
[27] Vo, X. V. (2018). Bank lending behavior in emerging markets. Finance Research Letters, 27, 129-134.
Published
2022-06-27
How to Cite
ABDEL-HALIM, M., & AL-ASSAF, G. (2022). “Lazy banks” and “Safe asset” Hypothesis: Is it the answer for Public Debt and Financial Development Indicators Puzzle in Emerging Markets?. Review of Applied Socio-Economic Research, 23(1), 18-27. https://doi.org/10.54609/reaser.v23i1.127