pubali bank limited stress testing
TRANSCRIPT
(Year 2009-2011)
Professor Dr. Mahmood Osman Imam
Course Instructor
(F-503)
Department of Finance
University of Dhaka
Banking Sector of Bangladesh
Banks are allowed to lend up to82% against deposits. But manyprivate banks lent up to 85% andsome lent more than 100%.
The banking industry inBangladesh has flourished over theyears and making double-digitprofit percentages.
Total size of the sector at26.54% of GDP dominates thefinancial system with its sustaininggrowth and attractive returns toshareholders.
Banks are allowed to invest upto 10% of their total liabilities inthe capital market. But, in late2010, the banks made most of itsinvestments in the capital market.
Banking Sector of Bangladesh
It has set a mandatorytimeframe for the banks tomaintain their capital against9% of risk weighted assets byJune 2011.
It has designed a stresstesting framework for banksand FIs to proactively managerisks in line with Basel-IIframework
Bangladesh Bank is theCentral Bank of Bangladeshand the Chief RegulatoryAuthority in the sector.
Stress Testing
At institutional level, stress testing techniques provide a way toquantify the impact of changes in a number of risk factors on theassets and liabilities portfolio of the institution.
It provides an indication how much Capital Adequacy Ratio(CAR) might be needed to absorb losses if any large shocks occur.
It is mandatory for all banks and FIs to carry out stress testing onhalf-yearly basis i.e. on June 30 and December 31 each year andreporting the results to Bangladesh Bank.
Prime Bank Limited
CAR required 9% and
maintained 12.49%
CAR increased from previous year
Capital Details in PBL
Stress Testing in PBL
Risk Management Unit (RMU) of PBL has already prepared a stress testing model in line with the Bangladesh Bank’s guideline which initially focused on “Simple Sensitivity and Scenario Analysis” on the following five risk factors:
Interest rate; Forced sale value of collateral; Non-performing loans (NPLs); Share prices; and Foreign exchange rate.
The 1st phase of stress testing was based on the financial performance of the bank as of June 30, 2010.
The 2nd phase of stress testing was based on the financial performance as on December 31, 2010 .
PBL claims that it has adequate capital to absorb minor, moderate and major level of shocks. In case of cumulative shocks, some additional capital may be required.
I have done stress testing on PBL based on year-end data of 2009, 2010 &2011. I have also used some assumptions in case of unavailable data.
Interest Rate Risk Calculation
Interest Rate Risk Calculation
Current market rate PV (rate, nper, pmt, [fv] )
DURATION (settlement, maturity, coupon,yield, frequency)
Settlement date = Present dateMaturity date = Settlement Date + Repricing Period
Assumption
Excel File
Interest Rate Risk Calculation
Given in Annual Report
Market Value weighted YTM and Duration
Interest Rate Risk Calculation
Revised Regulatory Capital = Regulatory Capital – Tax adjusted loss
Revised RWA = RWA – Tax adjusted loss
Revised CAR (%) = (RRC/RRWA)
Interest Rate Risk Calculation
Exchange Rate Risk Calculation
Exchange Rate Risk Calculation
Equity Price Risk Calculation
Equity Price Risk Calculation
Liquidity Risk Calculation
Total Liabilities – Borrowings of more than one year
All the deposits including the term deposits areassumed to be liquid
Credit Risk Calculation 1 : Increase in NPLs
Total NPLs * % increase in NPLs
Credit Risk Calculation 2 : Shift in NPLs Category
Multiply
(SMA*%Shift*Provision Substandard + Substandard * (1-%Shift)*Provision Substandard) + (Substandard * %Shift* Provision doubtful + Doubtful * (1- %Shift)*Provision doubtful) + Doubtful *% Shift*Provision Loss + Loss * Provision Loss
Credit Risk Calculation 2: Shift in NPLs Category
Credit Risk Calculation 3 : Fall in FSV of Mortgaged Collateral
Multiply
Credit Risk Calculation 4 : Increase in NPL in Particular 1 or 2 sectors
Credit Risk Calculation 5 : Increase in NPL for default of top 10 large borrowers
Credit Risk Calculation 6 : Increase in NPL up to that position in which whole capital will be wiped out
Cumulative Credit Risk Calculation
Calculation of All Risk Cumulative
Comparison among Individual Risks
Reason for the highest risk Each Year
Findings
And The highest risk is caused by Fall in FSV of Mortgaged Collateral