An example for interpreting VAR reads: A $100m portfolio has a 1.37% VAR at the 5% probability over one week. So there is a 5% chance that more than $1.37m will be lost and a 95% chance that less than this will be lost. Similarly, at the 1% VAR, there is a 1% chance that more than $1.37m will be lost and a 99% chance that less will be lost. The text says: a 1% VAR would be expected to show greater risk than a 5% VAR. But at 1% VAR, doesn’t it mean there is lower probability (compared to 5% VAR) of greater losses? Why does the 1% VAR show greater risk?
Interesting question.
i THINK what it’s saying is the odds (risk) losing 5m of value is lower than the odds of losing $1m.
You’re reading it wrong. It’s saying the VAR is greater at 1% probability than the VAR at 5% probability.
Here’s the sort of thing you would see:
- 20% VAR = $0.1 million
- 10% VAR = $0.8 million
- 5% VAR = $1.37 million
- 1% VAR = $8.2 million
All they’re saying is that the 1% number ($8.2 million) is bigger than the 5% number ($1.37 million).
Why is the loss at 1% VAR higher than at 5% VAR? 5% chance of a loss is a higher probability than a 1% chance of a loss, so not clear on this concept…
You have to think about 1% as the outliers or Balck swan events in the tail.
Here are the possible outcomes for 100 weeks of an investment:
- You lose $8.2 million 1 week
- You lose $5 million 3 weeks
- You lose $1.37 million 1 week
- You lose $1.1 million 4 weeks
- You lose $0.8 million 1 week
- You lose $0.7 million 3 weeks
- You lose $0.3 million 5 weeks
- You lose $0.1 million 2 weeks
- You break even 15 weeks
- You gain $0.1 million 25 weeks
- You gain $1 million 40 weeks
What’s your 1% 1-week VAR?
$8.2 million: 1% of the time you’ll lose $8.2 million or more.
What’s your 5% 1-week VAR?
$1.37 million: 5% of the time you’ll lose $1.37 million _ or more _.
And so on.
(These numbers are consistent with the VARs I gave a few posts above.)
What I do is picture the bell curve in my head of possible returns. VAR is just saying in the worst X% of outcomes your loss will be Y.
The “X” would be the shaded in area under the curve. The Y would be the return.
If you can still picture that bell curve, moving to a smaller and smaller cumulative distribution (the more extremem of a number you would get (in my head it’s on the left side)
Agree bilmicee - follow the left tail