PRMIA 8010 Exam - Topic 8 Question 77 Discussion

Actual exam question for PRMIA's 8010 exam

Question #: 77
Topic #: 8

[All 8010 Questions]

An assumption regarding the absence of ratings momentum is referred to as:

ARatings stability

BTime invariance

CMarkov property

DHerstatt risk

Show Suggested Answer

Suggested Answer: C

Choice 'c' is the correct answer. The Markov property is the assumption that there is no ratings momentum, and that transition probabilities are dependent only upon where the rating currently is and where it is going to. Where it has come from, or what the past changes in ratings have been, have no effect on the transition probabilities. ('Herstatt risk' refers to settlement risk, and is irrelevant.)

by Glenn at Nov 20, 2025, 01:29 PM

Limited Time Offer

25%

Off

Get Premium 8010 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Delmy

1 month ago

C) Markov property is the best choice. Fits the context!

upvoted 0 times

...

Ma

2 months ago

B) Time invariance sounds right too. Time matters!

upvoted 0 times

...

Brandon

2 months ago

I lean towards A) Ratings stability. Seems logical.

upvoted 0 times

...

Julie

2 months ago

I feel unsure. What does ratings momentum even mean?

upvoted 0 times

...

Katina

2 months ago

Herstatt risk? That one doesn't fit at all!

upvoted 0 times

...

Herminia

2 months ago

I thought it might be A) Ratings stability.

upvoted 0 times

...

Sharita

2 months ago

Wait, is it really just that simple?

upvoted 0 times

...

Fidelia

3 months ago

Totally agree, it's all about that Markov property!

upvoted 0 times

...

Jettie

3 months ago

It's definitely C) Markov property.

upvoted 0 times

...

Matt

3 months ago

Ratings momentum? More like ratings momentum-tum. The Markov property is the way to go, no doubt about it.

upvoted 0 times

...

Georgiana

4 months ago

Ratings stability? More like ratings instability. This is all about the Markov property, folks.

upvoted 0 times

...

Lanie

4 months ago

Herstatt risk? More like Herstatt-ing my head against the wall. Clearly, the answer is Markov property.

upvoted 0 times

...

Niesha

4 months ago

Time invariance, baby! Ratings don't care about the clock, they just keep on ticking.

upvoted 0 times

...

Camellia

4 months ago

The Markov property is the way to go here. It's like the ratings just don't care about the past, they live in the moment.

upvoted 0 times

...

Carry

4 months ago

I don't think it's D) Herstatt risk, but I can't quite remember the definitions of the other options clearly.

upvoted 0 times

...

Fredric

4 months ago

I’m torn between C) Markov property and A) Ratings stability. I recall both terms being mentioned in relation to ratings.

upvoted 0 times

...

Becky

5 months ago

I feel like this question is similar to one we practiced about credit ratings. Could it be B) Time invariance?

upvoted 0 times

...

Wilda

5 months ago

I think the answer might be A) Ratings stability, but I'm not completely sure. I remember discussing it in class.

upvoted 0 times

...

Lindsay

5 months ago

This looks straightforward. The absence of ratings momentum is the Markov property, which means future ratings don't depend on past ratings. I'll mark C and move on.

upvoted 0 times

...

Dexter

5 months ago

I think it's C) Markov property. Makes sense.

upvoted 0 times

...

Tu

5 months ago

I'm a bit confused on the wording of this question. What exactly do they mean by "ratings momentum"? I'll have to read it over carefully to make sure I understand the concept.

upvoted 0 times

...

Rosendo

6 months ago

Ah, I remember learning about this in class. I'm pretty confident the answer is C) Markov property. That assumption deals with the lack of ratings momentum over time.

upvoted 0 times

...

Mattie

6 months ago

I remember learning about D) Herstatt risk. Not this one though.

upvoted 0 times

...

Meaghan

6 months ago

Okay, I've seen this type of question before. I think it's related to the Markov property, but I'm not 100% sure. I'll review my notes on time series analysis to be sure.

upvoted 0 times

...