Linking Macroeconomic Dynamics to Georgian Credit Portfolio Risk
Zedginidze Zviad ()
EERC Working Paper Series from EERC Research Network, Russia and CIS
Abstract:
The following study develops a dynamic credit risk model for the Georgian banking portfolio and investigates the effects that macroeconomic (systemic) factors have on credit risk. A SUR model is estimated for the Non-Performing Loan ratio in seven sectors as a function of a lagged dependent variable, macroeconomic factors, and lagged contagion effects. Based on the estimation results, I discuss the impact of macroeconomic factors (such as GDP growth and exchange rate depreciation) on sector-specific credit risk. Given the estimated model, I further conduct stochastic simulations to analyze the expected losses under two hypothetical scenarios: a shock to real GDP gap and a shock to FX rate depreciation. Based on the assumptions on loss-given default and exposure at default, I find a significant impact of systemic shocks on the aggregate credit risk, but this impact varies across different sectors.
JEL-codes: C32 E32 E37 E44 G21 (search for similar items in EconPapers)
Date: 2012-04-12
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