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PRMIA Exam 8010 Topic 3 Question 54 Discussion

Actual exam question for PRMIA's 8010 exam
Question #: 54
Topic #: 3
[All 8010 Questions]

As the persistence parameter under EWMA is lowered, which of the following would be true:

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Suggested Answer: B

The persistence parameter, , is the coefficient of the prior day's variance in EWMA calculations. A higher value of the persistence parameter tends to 'persist' the prior value of variance for longer. Consider an extreme example - if the persistence parameter is equal to 1, the variance under EWMA will never change in response to returns.

1 - is the coefficient of recent market returns. As is lowered, 1 - increases, giving a greater weight to recent market returns or shocks. Therefore, as is lowered, the model will react faster to market shocks and give higher weights to recent returns, and at the same time reduce the weight on prior variance which will tend to persist for a shorter period.


Contribute your Thoughts:

Coral
2 months ago
That's a good point, so maybe the answer is D) The model will give lower weight to recent returns.
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Glennis
2 months ago
But if the persistence parameter is lowered, wouldn't that mean the model gives lower weight to recent returns?
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Coral
2 months ago
I disagree, I believe the answer is B) The model will react faster to market shocks.
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Lavonne
2 months ago
B all the way, baby! The model's gonna react like a caffeine-fueled squirrel on a sugar high. Gotta love that market sensitivity.
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Raelene
2 months ago
Hold on, does 'lowering the persistence' mean I get to lower my own persistence when studying for this exam? Sign me up for that option!
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Reiko
1 months ago
B) The model will react faster to market shocks
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Sarah
2 months ago
A) The model will react slower to market shocks
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Glennis
3 months ago
I think the answer is A) The model will react slower to market shocks.
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Rosendo
3 months ago
That's a good point, so maybe the answer is D) The model will give lower weight to recent returns.
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Gianna
3 months ago
This one's a toughie, but I think C is the way to go. Lower persistence means more high variance sticking around. Buckle up, traders!
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Trina
3 months ago
I'd go with D. The lower the persistence, the less the model cares about recent returns. Probably a good idea to keep an eye on that trend line, am I right?
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Lenna
2 months ago
Definitely. It's all about finding the right balance between reacting to market shocks and considering past data.
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Buck
2 months ago
I think that's a good point. Keeping an eye on the trend line can help us understand the model's behavior better.
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Leah
2 months ago
Yeah, that makes sense. It's important to consider how much weight the model gives to recent data.
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Yvonne
2 months ago
I'd go with D. The lower the persistence, the less the model cares about recent returns.
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Essie
3 months ago
Definitely B. The lower the persistence, the more responsive the model will be to market shocks. Gotta stay on top of those volatility swings!
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Dawne
3 months ago
That's right, it's important to adjust the model to stay ahead of market volatility.
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Janae
3 months ago
I agree, option B is correct. The model will react faster to market shocks with a lower persistence parameter.
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Marlon
3 months ago
But if the persistence parameter is lowered, wouldn't that mean the model gives lower weight to recent returns?
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Rosendo
3 months ago
I disagree, I believe the answer is B) The model will react faster to market shocks.
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Marlon
3 months ago
I think the answer is A) The model will react slower to market shocks.
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