SOA Exams & Modules
[mathjax] Review Basic Concepts – Integrals: \(\int_{0}^{\infty }{{{t}^{n}}{{e}^{-ct}}dt}=\dfrac{n!}{{{c}^{n+1}}}\) \(\int_{0}^{u}{{{t}^{n}}{{e}^{-ct}}dt}=\dfrac{1-(1+cu){{e}^{-cu}}}{{{c}^{2}}}\) \({{(\bar{I}\bar{a})}_{u}}=\dfrac{{{{\bar{a}}}_{\overline{u}}}-u{{v}^{u}}}{\delta }\) – Geometric Series: \(\sum\nolimits_{k=0}^{n-1}{a{{r}^{k}}}=a\dfrac{1-{{r}^{n}}}{1-r}\) \({{i}^{(m)}}=m({{(1+i)}^{{}^{1}/{}_{m}}}-1)\) \({{d}^{(m)}}=m(1-{{(1+i)}^{-{}^{1}/{}_{m}}})\) – Survival Function: \({{S}_{x}}(0)=1\) \(\underset{t\to \infty }{\mathop{\lim }}\,{{S}_{x}}(t)=0\) \({{S}_{x}}(t)\) must be a non-increasing function of t Review from MFE – Rate of Discount: \(d=\dfrac{i}{1+i}\) – Discounting Rate: \(v=\dfrac{1}{1+i}=1-d\) – Continuously Compounded Interest Rate: \(\delta =\ln (1+i)\) – Simple Interest Rate i: \({i}_{t}=1+it\) , \({{v}_{t}}=\dfrac{1}{1+it}\) – PV of …
Accounting Principles
Product Classification Why need product classification? Not all products manufactured by insurance companies are insurance contracts Insurance contracts are those that contain significant insurance risk How products are classified? For valuation purposes, insurance contracts can be further classified into: Ordinary Life – Participating Ordinary Life – Non-Participating Personal Accident Unit-linked (Contracts with an explicit account balance) Universal life (Contracts with …
Introduction IFRS 17 Insurance Contracts establishes principles for the recognition, measurement, presentation and disclosure of insurance contracts issued. It also requires similar principles to be applied to reinsurance contracts held and investment contracts with discretionary participation features issued. The objective is to ensure that entities provide relevant information in a way that faithfully represents those contracts. This information gives a …
Coding & Programming
Dates CODE_SEGMENT Dates ; Valuation Date IF LEN(STRVAL(MONTH(EXTRACT_DATE))) = 1 THEN VAL_DATE = STRVAL(YEAR(EXTRACT_DATE)) + “0” + STRVAL(MONTH(EXTRACT_DATE)) ELSE VAL_DATE = STRVAL(YEAR(EXTRACT_DATE)) + STRVAL(MONTH(EXTRACT_DATE)) ENDIF ; Last-Year End LYE_DATE = STRVAL(YEAR(EXTRACT_DATE) – 1) + “12” ; Beginning of Current Year BOY_DATE = STRVAL(YEAR(EXTRACT_DATE)) + “01” ; Last-Month LM_M = STRVAL(NUMVAL(SUBSTR(VAL_DATE, 5, 2)) – 1) IF LEN(LM_M) = 1 THEN LM_M …
FUNCTION INSTR(BYVAL TEXT_DATA AS TEXT, BYVAL TEXT_FIND AS TEXT)AS INTEGER ; Match Sub-String and Return its Position I INTEGER J INTEGER FOR I FROM 1 TO LEN(TEXT_DATA) – LEN(TEXT_FIND) + 1 FOR J FROM 1 TO LEN(TEXT_FIND) IF SUBSTR(TEXT_FIND,J,1) <> SUBSTR(TEXT_DATA,I + J – …
Function Categories The Prophet programming language provides a wide range of functions which are grouped into the following categories: Array functions Conversion functions Dynamic functions Error / Warning functions Financial functions Logical functions Mathematical functions Product functions Read functions Run Position functions Run Progress functions Run Setting functions Statistical functions Text functions Trigonometric functions Array Functions Function Description ARRAY_INITIALISE Resizes …
Extended formulas enable more complex calculations to be carried out than standard Prophet formulas. They are also able to retain the values that they have calculated from one model point to the next and from one loop to the next in a dynamic or stochastic run. Examples of situations where extended formulas can be useful include: The calculation of commutation …
Overview The Prophet programming language is the programming language used to create and maintain formula definitions for variables in each product and library. A formula in Prophet can be specified using either: The standard Prophet language features or, The Prophet Extended Formula features. A formula created using the standard Prophet language generates values for one variable only. An extended formula …
Purpose Extended formulas enhance and extend the capabilities of the Prophet programming language. They enable more complex calculations to be carried out than standard Prophet formulas. They are also able to retain the values that they have calculated from one model point to the next and from one loop to the next in a dynamic or stochastic run. Examples of …