Exam Summaries: Difference between revisions

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==2019 Fall==
==2019 Fall==
Based on user feedback, the BattleCards corresponding to the <span style="color: red;">'''2019.Fall'''</span> exam will NOT be loaded into the BattleActs database until <u>after</u> the '''2020.Spring''' exam. This is to provide the opportunity for practice on a fresh exam prior to your real exam.


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|| [https://www.battleacts8.ca/8/pdf/Exam_(2019_2-Fall)/(2019_2-Fall)_(07).pdf <span style='font-size: 12px; background-color: yellow; border: solid; border-width: 1px; border-radius: 5px; padding: 2px 5px 2px 5px; margin: 5px;'>E</span>]
|| [https://www.battleacts8.ca/8/pdf/Exam_(2019_2-Fall)/(2019_2-Fall)_(07).pdf <span style='font-size: 12px; background-color: yellow; border: solid; border-width: 1px; border-radius: 5px; padding: 2px 5px 2px 5px; margin: 5px;'>E</span>]
|| <span style="color: red;">'''(2019.Fall #7)'''</span>
|| <span style="color: red;">'''(2019.Fall #7)'''</span>
|| [[Fisher.CaseStudy]] <br> [[Bailey.Simon]] <br> [[Fisher.RiskSharing]] <br> [[Fisher.TableM]]
|| [[Fisher.CaseStudy]] <br> [[Fisher.ExpRating]] <br> [[Fisher.RiskSharing]] <br> [[Fisher.TableM]]
|| '''calculate''': expected ground-up limited loss <br> '''calculate''': modified expected unlimited loss <br> '''calculate''': guaranteed cost premium <br> '''calculate''': expected loss in layer, '''discuss''': appropriateness of assumptions
|| '''calculate''': expected ground-up limited loss <br> '''calculate''': modified expected unlimited loss <br> '''calculate''': guaranteed cost premium <br> '''calculate''': expected loss in layer, '''discuss''': appropriateness of assumptions
|| calc <span style="color: red;">'''90%'''</span> essay <span style="color:green;">'''10%'''</span>
|| calc <span style="color: red;">'''90%'''</span> essay <span style="color:green;">'''10%'''</span>
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|| [https://www.battleacts8.ca/8/pdf/Exam_(2019_2-Fall)/(2019_2-Fall)_(09).pdf <span style='font-size: 12px; background-color: yellow; border: solid; border-width: 1px; border-radius: 5px; padding: 2px 5px 2px 5px; margin: 5px;'>E</span>]
|| [https://www.battleacts8.ca/8/pdf/Exam_(2019_2-Fall)/(2019_2-Fall)_(09).pdf <span style='font-size: 12px; background-color: yellow; border: solid; border-width: 1px; border-radius: 5px; padding: 2px 5px 2px 5px; margin: 5px;'>E</span>]
|| <span style="color: red;">'''(2019.Fall #9)'''</span>
|| <span style="color: red;">'''(2019.Fall #9)'''</span>
|| [[Couret.Venter]]
|| [[Fisher.ExpRating]]
|| '''describe''': relationship between credibility and experience rating
|| '''describe''': when to use experience rating
|| essay <span style="color:green;">'''100%'''</span>
|| essay <span style="color:green;">'''100%'''</span>
|| No
|| No

Latest revision as of 21:05, 26 July 2023

2019 Fall

link reference reading/chapter topic type Integrative Question?
E (2019.Fall #1) Couret.Venter calculate: mean frequency estimates using two credibility procedures
explain: relationship between one-dimensional and multi-dimensional credibility
calc 70% essay 30% No
E (2019.Fall #2) Goldburd.Validation calculate: loss ratio plot, describe: disadvantages of validation plots, recommend: which model to use calc 25% essay 75% No
E (2019.Fall #3) Bailey.Simon calculate: experience modification factor
describe: how credibility and experience rating work
calc 70% essay 30% No
E (2019.Fall #4) Robertson.HazardGroups justify: choice of distance measure, calculate: one iteration of weighted k-means algorithm calc 50% essay 50% No
E (2019.Fall #5) Goldburd.Basics
Goldburd.Validation
explain: choice of link function
calculate: sensitivity and specificity, ROC curve, describe: claim severity impacts threshold
calc 75% essay 25% No
E (2019.Fall #6) Goldburd.Interactions calculate: model frequency and intercept with interactions discuss: advantages of using base levels calc 75% essay 25% No
E (2019.Fall #7) Fisher.CaseStudy
Fisher.ExpRating
Fisher.RiskSharing
Fisher.TableM
calculate: expected ground-up limited loss
calculate: modified expected unlimited loss
calculate: guaranteed cost premium
calculate: expected loss in layer, discuss: appropriateness of assumptions
calc 90% essay 10% Yes
E (2019.Fall #8) Bahnemann.Chapter6 calculate: ILFs and premium calc 100% No
E (2019.Fall #9) Fisher.ExpRating describe: when to use experience rating essay 100% No
E (2019.Fall #10) Fisher.ExpRating evaluate: experience modification rating plans using loss ratios and the efficiency test essay 100% No
E (2019.Fall #11) Fisher.ExpRating calculate: experience mod, describe: experience rating improvement, evaluate: effectiveness of proposed improvement calc 85% essay 15% No
E (2019.Fall #12) Fisher.TableM
Fisher.Visualization
discuss: appropriateness of proposed Table M
calculate: insurance charges
calc 50% essay 50% No
E (2019.Fall #13) Bahnemann.Chapter5 calculate: excess layer losses calc 75% essay 25% No
E (2019.Fall #14) Fisher.Visualization
Fisher.LimitedTableM
calculate: basic premium
evaluate: appropriateness of method
calc 50% essay 50% No
E (2019.Fall #15) Bahnemann.Chapter5
Fisher.RiskSharing
calculate: basic premium from distribution, discuss: appropriateness of distribution calc 85% essay 15% No
E (2019.Fall #16) Fisher.LimitedTableM
Fisher.OtherLSPlans
calculate: Build a Limited Table M
discuss: alternate loss-sensitive plans
calc 50% essay 50% No
E (2019.Fall #17) Clark.Reinsurance calculate: technical ratio with sliding scale commission and carry-forward provision calc 100% No
E (2019.Fall #18) Clark.PropPerRisk
Bernegger.Exposure
calculate: reinsurance excess layer loss cost using historical data and exposure curves, profit commission to premium ratio calc 90% essay 10% Yes
E (2019.Fall #19) Grossi.Curves calculate: return period, identify: types of reinsurance, describe: reinsurance premium magnitudes calc 30% essay 70% No

2018 Fall

link reference reading/chapter topic type Integrative Question?
E (2018.Fall #1) Mahler.Credibility
Bahnemann.Chapter5
Clark.Reinsurance
calculate: Chi-square test and expected claim frequency
calculate: profitability of reinsurance
discuss: which reinsurance option is best
calc 80% essay 20% Yes
E (2018.Fall #2) Bahnemann.Chapter5
Bahnemann.Chapter6
calculate: annual premiums under different deductibles
calculate: profitability of reinsurance
calculate: risk loaded ILFs
calc 90% essay 10% Yes
E (2018.Fall #3) Bailey.Simon calculate: number of claims and merit rating factor calc 80% essay 20% No
E (2018.Fall #4) ASOP.12 discuss: the use of a discount essay 100% No
E (2018.Fall #5) Goldburd.ModelSelection discuss: model fit and alternate selections essay 100% No
E (2018.Fall #6) Goldburd.ModelRefinement calculate: two statistical measures of model fit calc 75% essay 25% No
E (2018.Fall #7) Goldburd.Basics calculate: offset and fitted probability
discuss: use of logistic regression
calc 50% essay 50% No
E (2018.Fall #8) Bahnemann.Chapter6 compare and contrast: use of risk loaded ILFs vs. varying profit and contingency provisions essay 100% No
E (2018.Fall #9) Fisher.ExpRating calculate: apply the efficiency test, explain: how adverse selection may impact insurers calc 75% essay 25% No
E (2018.Fall #10) Fisher.CaseStudy
Fisher.ExpRating
calculate: expected reported losses
calculate: experience modification factor
calc 100% No
E (2018.Fall #11) ISO.Rating calculate: experience modification, discuss: schedule rating selection calc 40% essay 60% No
E (2018.Fall #12) Fisher.CaseStudy calculate: total cost of each plan, discuss: recommend a plan and suggest improvements calc 50% essay 50% No
E (2018.Fall #13) Bahnemann.Chapter5 calculate: number of excess claims, calculate: inflationary pressure calc 100% No
E (2018.Fall #14) NCCI.RetroRating outdated
Fisher.RiskSharing
calculate: ratio of basic to standard premium and net insurance charges
discuss: using prior loss experience
calc 80% essay 10% No
E (2018.Fall #15) Clark.Reinsurance calculate: primary insurer's part of loss corridor calc 100% No
E (2018.Fall #16) Grossi.Curves calculate: ceded and net Probable Maximum Loss, discuss: should the reinsurer offer the treaty? calc 60% essay 40% No
E (2018.Fall #17) Grossi.Overview
Grossi.CATModels
discuss: catastrophe model modules
describe: types of uncertainty and how it can be incorporated in a model
essay 100% No