PRMIA Exam 8007 Topic 1 Question 68 Discussion

Actual exam question for PRMIA's 8007 exam

Question #: 68
Topic #: 1

[All 8007 Questions]

What is a Hessian?

ACorrelation matrix of market indices

BThe vector of partial derivatives of a contingent claim

CA matrix of second derivatives of a function

DThe point at which a minimum of a multidimensional function is achieved

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Suggested Answer: C

by Shawna at Mar 19, 2024, 02:14 PM

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Delsie

5 months ago

Actually, I think it's the correlation matrix of market indices.

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Kayleigh

5 months ago

That's interesting, I thought it was the point at which a minimum of a multidimensional function is achieved.

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Denna

5 months ago

No, I believe it's a matrix of second derivatives of a function.

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Melodie

5 months ago

I think it's the vector of partial derivatives of a contingent claim.

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Kayleigh

5 months ago

What is a Hessian?

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Freeman

5 months ago

Got it, thanks for the clarification!

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Ethan

5 months ago

No, that's more related to gradient descent method in optimization.

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Freeman

5 months ago

So it's not the point at which a minimum of a function is achieved?

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Xochitl

6 months ago

I agree with Ethan, it helps us find critical points in optimization.

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Ethan

6 months ago

I think it's a matrix of second derivatives of a function.

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Freeman

7 months ago

What is a Hessian?

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