Year 4 (Midterm)
I SCMA459 Investment Science II
Introduction to Black-Scholes Stock Price Modeling
Wiener Process (Brownian Motion)
Arithmetic Wiener process
Geometric Wiener process
Generalized Wiener Process
Itô Process
Stock Price Modeling
Itô Lemma
II SCMA470 Risk Analysis and Credibility
Basic Probability Concepts
Moments
Moment Generating Function (MGF)
Probability Generating Function (PMF)
Model Fitting
Pearson chi-square goodness-of-fit statistic
Loss Distributions
Exponential distribution
Gamma distribution
Lognormal distribution
Pareto distribution
Deductibles and Reinsurance
Deductibles
Excess of Loss Reinsurance
Mixed Distribution
Collective Risk Model
Conditional Expectation and Variance
Compound Distribution
Compound Poisson,
\(\mathcal{CPN}(\lambda,F_X)\)
Compound negative binomial,
\(\mathcal{CNB}(k,p,F_X)\)
Compound binomial,
\(\mathcal{CBN}(n,p,F_X)\)
Effects of Reinsurance
Proportional reinsurance
Excess of loss reinsurance
Approximations
Normal approximation
Translated gamma
Premium Calculation
III SCMA479 Survival Analysis
Introduction to Survival Models
Hazard rate function
Exponential function
Estimating Lifetime Distribution
Study types
Nonparametric method
Empirical df
Greenwood’s formula
Parametric Method
Uncensored data
Censored data
Cox’s Proportional Hazard Model
Parametric Regression Model
Semi Parametric Model: Cox Proportional Hazard Model
Cox Partial Likelihood
Hypothesis Testing
Likelihood ratio test
Wald test
IV SCMA477 Life Contingencies II
Benefit Reserves
Recursion Relation
Retrospective Approach
Models with Expenses
Thiele’s Differential Equation
Expense Reserves
FPT Reserve
Multiple Decrement Model
Associated Single Decrement
Fractional Age Assumptions
UDD in multiple decrement model
CF
UDD in associated single decrement
UNOFFICIAL notes
UNOFFICIAL notes
2025-10-16
Year 4 (Midterm)
SCMA 459 Investment Science II
SCMA 470 Risk Analysis and Credibility
SCMA 479 Survival Analysis
SCMA 477 Life Contingencies II