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Oil Prices and Banking Instability: A Jump-Diffusion Model for Bank Capital Structure

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  • Willi Semmler
  • Samar Issa

Abstract

We develop an empirical model of bank capital structure to study the impact of large oil shocks on overleveraging of banks which presents severe challenges for banks’ balance sheet management. The measure of overleveraging builds on the Stein (2012) model by adding a jump-diffusion component that captures the jump size and intensity of predictors such as oil prices and political instability. Overleveraging is derived and estimated for a sample of six banks in three oil-producing countries and Western countries using the Markov Chain Monte Carlo (MCMC) method, for the years 2006-2016. The estimation of the optimal debt shows that most of the banks in this context had a high optimal debt around 2008, overlapping with the oil price shock. In addition, most of the predictors, namely oil prices and political instability factors proxied by terrorism, political corruption, and military expenses, regularly appeared in volatility and jump intensity factors.

Suggested Citation

  • Willi Semmler & Samar Issa, 2019. "Oil Prices and Banking Instability: A Jump-Diffusion Model for Bank Capital Structure," The Energy Journal, , vol. 40(2_suppl), pages 85-100, December.
    • Handle: RePEc:sae:enejou:v:40:y:2019:i:2_suppl:p:85-100
    DOI: 10.5547/01956574.40.SI2.wsem
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    References listed on IDEAS

    as
    1. Padamja Khandelwal & Mr. Ken Miyajima & Mr. Andre O Santos, 2016. "The Impact of Oil Prices on the Banking System in the GCC," IMF Working Papers 2016/161, International Monetary Fund.
    2. Jerome L. Stein, 2012. "Stochastic Optimal Control and the U.S. Financial Debt Crisis," Springer Books, Springer, edition 127, number 978-1-4614-3079-7, September.
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