Main sources of Risks in Commercial banking : -
1. Credit Risk 2. Market Risk 3. Operational Risk. are risks in
general in commercial banking. The sources for these risks are as
follows;
- CREDIT RISK:Credit Risk arises when the
borrower defaults to honor the repayment commitments on their
debts. Such a risk arises as a result of adverse selection
(screening) of applicants at the stage of acquisitions or due to a
change in the financial capabilities of the borrower over the
process of repayment.
- MARKET RISK:Market Risk includes the risk that
arises for banks from fluctuation of the market variables like:
Asset Prices, Price levels, Unemployment rate etc. This risk arises
from both on-balance sheet as well as off-balance sheet items. This
risk includes risk arising from macroeconomic factors such as sharp
decline in asset prices and adverse stock market movements.
Recessions and sudden adverse demand and supply shock also affect
the delinquency rates of the borrowers. Market Risk includes a
whole family of risk which includes: stock market risks,
counterparty default risk, interest rate risk, liquidity risk,
price level movements etc.
- OPERATIONAL RISK:Operational Risk arises from
the operational inefficiencies of the human resources and business
processes of an organization. Operational risk includes Fraud
risks, bankruptcy risks, risks arising from cyber hacks etc. These
risks are uncorrelated across the industries and is very
organization specific. However, Operational risk excludes strategy
risk and reputation risk.
Value At Risk :-
Value at risk (VaR) is a
measure of the risk of loss for investments. It estimates how much
a set of investments might lose (with a given probability), given
normal market conditions, in a set time period such as a day. VaR
is typically used by firms and regulators in the financial industry
to gauge the amount of assets needed to cover possible losses.
Value At Risk Measurement Approach: -
To compute Value at Risk, though there are numerous variations
within each approach. The measure can be computed analytically by
making assumptions about return distributions for market risks, and
by using the variances in and covariances across these risks. It
can also be estimated by running hypothetical portfolios through
historical data or from Monte Carlo simulations. In this section,
we describe and compare the approaches.