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Key takeaways:
Bonus Tip: VaR got its big push after the 1998 collapse of Long Term Capital Management.
Markets can fall anytime, but the real question is how much you’re prepared to lose before it happens. Sonam put her savings in stocks. One week, the prices dropped suddenly and she started worrying about bigger losses coming. She used Value at Risk to check how much she could lose in a bad market. It gave her a clear limit on the loss. After seeing that, she sold some risky stocks and kept some cash ready. Later, when the market fell again, her losses stayed under control and she did not panic sell.
Value at Risk or VaR is a way to guess how much money you might lose over a set time. It gives one number that shows the biggest loss you can expect under normal conditions at a chosen confidence level.
For example, 95% VaR means there is a 5% chance the loss could be higher than that number. There are different ways to calculate VaR, like parametric, historical, and simulation methods.
Liquidity risk is when you do not have cash when you need it or you cannot sell your assets quickly without losing a lot of money. VaR links to this because it shows how much you may lose when prices move. If losses are big, you may have to sell assets fast. If those assets are hard to sell, liquidity risk becomes a big problem. That is why liquidity-adjusted VaR is useful. It adds the extra cost of selling such assets.
Let’s take Sonam’s example.
She invested ₹1,00,000 in stocks and wants to find the one-day VaR at 95% confidence.
Value at Risk formula (Parametric method):
VaR = Portfolio Value × Volatility × Z-score
This value at risk calculation assumes normal price changes and skips expected return for short periods like one day.
Calculation:
VaR = 1,00,000 × 0.02 × 1.65
VaR = ₹3,300
This means there is a 5% chance Sonam could lose more than ₹3,300 in one day. Note that 2% is quite high for daily risk. Most real portfolios have lower volatility.
VaR works better when we also think about how easy it is to sell the assets. If Sonam holds assets that are not traded much, selling them quickly can make her loss bigger because of price impact and wider spreads.
Liquidity-adjusted VaR includes these extra costs. It gives a more real risk number. It helps spot positions that may cause cash problems during tough times and lets her plan better before such situations come up. By using the value at risk formula, we can find approx risk in normal days. Along with this, conditional value at risk helps understand the average loss if things go worse than the VaR limit. You can also check value at risk Investopedia to explore more
Here are some easy ways to control liquidity risk with VaR. These steps help you manage both possible losses and cash needs.
These steps keep you safe during bad times and make sure you always have cash when needed.
VaR is helpful but it comes with some clear limits. You need to know these weak spots when dealing with liquidity risk. Credit value at risk is also important to watch in such cases.
That is why you should always pair VaR with stress testing and backtesting. This way you can check whether real losses match what was expected.
Value at Risk gives a clear idea of how much you might lose and helps you plan ahead. When you mix it with liquidity factors, it becomes really useful. It helps Sonam prepare for tough times, handle their cash needs, and stop sudden money worries.
Is value at risk (VAR) always positive?
Yes, VaR is shown as a positive number. It tells the size of the possible loss.
Is value at risk effective in financial risk management?
Yes, VaR is effective. It gives a clear number to measure and control risk in normal times.
Why do banks use value at risk (VaR)?
Banks use VaR to set risk limits, check capital needs, and follow rules like Basel.
What confidence level is best to use in VaR?
Most people use 95% or 99%. It depends on how careful you want to be.
How can Value at Risk be calculated?
Value at Risk can be calculated using three main methods: parametric, historical, and Monte Carlo simulation. The parametric method is the simplest and fastest one.
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