Learning objectives: Explain the role of linear regression and logistic regression in prediction. Understand how to encode categorical variables.
Questions:
23.6.1. Darlene is a risk analyst who evaluates the creditworthiness of loan applicants at her financial institution. Her department is...
@AUola2165 I moved your query to this thread, see above (and my reply) at https://forum.bionicturtle.com/threads/bond-prices-and-forward-rate.23417/post-83349
Hi @JLim3856 In the exam, you will not be required to "calculate" the p-value (beyond scope of a calculator). At most, you may need to interpret it or refer to an obvious p-value per header in a lookup table snippet (the exam provides a Z lookup which--I think you understand--implicitly has...
Hi @AUola2165
GARP is wrong on both 2.4 and 2.5. ES is a conditional average and has only one answer, ever (regardless of continuous or discrete). It has one answer for the same reason that there is always and only one sample mean for any given sample. In the case of 2.5, the 99% ES is the...
Hi @sulemanms202 It's really really hard (impossible?) to give a definitive answer to a virtually universal memorization question. The strict and obvious answer is: No! You definitely do not need to memorize "every single line time and detail" in all of those tables.
I'll go way further: you...
@Sixcarbs I agree. My question is, despite the language (let's stipulate that GARP has a policy and it is well-explained: I didn't read it myself but we know they are good at CYA. Their mock PQs may bit loose, but their not their CYA language). So let's stipulate that their policy was not...
Thanks @Nicole Seaman if you are sending our contact an email, can you copy me? I'm troubled by this: it's a registration fee, if no exam site was selected, how can the transaction be considered complete? Thanks David
Hi @HPASI2304 What I wrote above is the more fundamental, relevant relationship ....
... because we hedge interest rate increases with a short position in interest rate futures. The Eurodollar futures contract typifies this because the quote price is 100 minus the rate. Or as Hull explains...
Hi @JStir4521 Probability must be between zero and 100% inclusive such that either P(B) = zero or P(B) = 100% are allowed. If P(B) = 0%, then A and B must be be independent per the definition. That's the easier question, for me.
To be honest, I struggle with the question of mutual exclusivity...
Hi @TEkaz8632 i moved your query here so you can see my reply above at https://forum.bionicturtle.com/threads/binomial-tree-question.23398/post-83158 i.e.,
Hi @mbbx5va2 It is unwise to opine without context, but in general, you can apply the typical discrete or continuous translations such that a credit spread of 3.0% per annum with annual compounding is equal to ln(1+3%) = 2.9559%. See example here from GARP mock at...
Apologies to you Goher (@gsarm1987 ): your response is the correct response here! I had this thread backlogged, and in haste, I provided the XLS. For future reference @Shau_2207 please know that he's correct: these learning XLS are part of the upgraded package. Thanks for understanding.
Hi @Shau_2207 You are correct (apologizes), good catch. The values look correct (i.e., 0.766371 and 0.886233) but as you say they should be discounted by, respectively, 14.2% and 6.2%. Thank you!
Hi @Shau_2207 Please see the sheet at "29.7 Three Steps" and the subsequent in the attached "P2.T5.Tuckman_Ch7_v1.4.xlsx"
(also here at https://www.dropbox.com/s/4ords2u1c2l20dy/P2.T5.Tuckman_Ch7_v1.4.xlsx?dl=0)
Hi @AToma4828 A cumulative distribution function (CDF) which describes a random variable is a plot of probabilities on the Y axis (from 0 to 100%) against, on the X axis, the range (aka, support) of outcomes (possible values) of the random variable. If it's a fair die, the range is {1, 2, 3, 4...
Learning objectives: Differentiate among unsupervised, supervised, and reinforcement learning models. Explain how reinforcement learning operates and how it is used in decision-making.
Questions:
23.4.1. Emma is designing a reinforcement learning algorithm to support her investment firm's...
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