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MAST 729

Selected Topics in Actuarial Mathematics

3 credits · Graduate

Fall 2026 · Selected Topics in Probability, Statistics and Actuarial Mathematics

Topics

  • Discrete-time option pricing and model calibration
  • Implied-volatility trees
  • Probability, Brownian motion and stochastic calculus
  • Continuous-time financial models and risk-neutral hedging
  • Monte Carlo simulation and SDE discretization
  • Variance reduction
  • Volatility estimation and volatility surfaces
  • Stochastic interest rates and term-structure models
  • PDE valuation and finite-difference methods
  • American and path-dependent claims
  • Risk measures, Greeks and model risk

Readings

  • Self-contained lecture notes, slides and exercises.
    Listed reading
Fall 2026 · Topics in Statistics

Topics

  • Multi-armed bandit problems
  • Markov decision problems
  • Dynamic programming
  • Tabular Monte Carlo and temporal-difference methods
  • Policy gradients
  • Approximation methods
  • Deep reinforcement learning
  • Reinforcement-learning programming in R

Readings

  • Miguel Morales. Grokking Deep Reinforcement Learning. Manning.
    Recommended / optional / reference
  • Listed textbook (requirement not stated): R. S. Sutton and A. G. Barto. Reinforcement Learning: An Introduction, 2nd edition. MIT Press. http://incompleteideas.net/book/the-book-2nd.html
    Listed reading
Fall 2026 · STAT 497

Readings

  • Reinforcement Learning: An Introduction, by R.S. Sutton and A.G. Barto, 2nd Edition, MIT Press.
    Listed reading; requirement unspecified
Winter 2026 · Selected Topics in Probability, Statistics and Actuarial Mathematics

Topics

  • One- and multi-period binomial no-arbitrage pricing
  • State prices, changes of measure and Radon–Nikodym derivatives
  • CAPM, utility maximization and optimal investment
  • European, American and exotic derivatives
  • Stopping times
  • Interest-rate binomial models and bond derivatives
  • Forward measure, Ho–Lee and Black–Derman–Toy models
  • Forward and futures contracts

Readings

  • Steven Shreve. Stochastic Calculus for Finance I: The Binomial Asset Pricing Model. Springer, 2005.
    Recommended / optional / reference
  • Self-contained lecture slides.
    Listed reading
Winter 2026 · Statistical Simulation

Topics

  • Probability review and random-number generation
  • Generating discrete and continuous random variables
  • Discrete-event simulation
  • Statistical analysis of simulated data
  • Monte Carlo estimation
  • Variance-reduction methods
  • Simulation of stochastic systems

Readings

  • Listed textbook (requirement not stated): Sheldon M. Ross. Simulation, 6th edition. Academic Press.
    Listed reading
Winter 2025 · STAT 461

Readings

  • Simulation, 5th Edition, by Sheldon M. Ross (Academic Press).
    Listed reading; requirement unspecified
Winter 2024 · STAT 461

Readings

  • Simulation, 5th Edition, by Sheldon M. Ross (Academic Press).
    Listed reading; requirement unspecified
Fall 2023 · ACTU 491

Readings

  • I. Karatzas and S. E. Shreve, Brownian Motion and Stochastic Calculus, Springer.
    Listed reading; requirement unspecified
  • B. Oksendal, Stochastic Differential Equations, Springer.
    Listed reading; requirement unspecified
Fall 2023 · MACF 491

Readings

  • I. Karatzas and S. E. Shreve, Brownian Motion and Stochastic Calculus, Springer.
    Listed reading; requirement unspecified
  • B. Oksendal, Stochastic Differential Equations, Springer.
    Listed reading; requirement unspecified
Winter 2023 · STAT 461

Readings

  • Sheldon M. Ross, Simulation, 5th edition, Academic Press; 6th edition also available as a reference.
    Listed reading; requirement unspecified
Winter 2022 · ACTU 491

Readings

  • I. Karatzas and S. E. Shreve, Brownian Motion and Stochastic Calculus, Springer.
    Listed reading; requirement unspecified
  • B. Oksendal, Stochastic Differential Equations, Springer.
    Listed reading; requirement unspecified
Winter 2022 · MACF 491

Readings

  • I. Karatzas and S. E. Shreve, Brownian Motion and Stochastic Calculus, Springer.
    Listed reading; requirement unspecified
  • B. Oksendal, Stochastic Differential Equations, Springer.
    Listed reading; requirement unspecified
Winter 2022 · STAT 461

Readings

  • Simulation, 5th Edition, by Sheldon M. Ross (Academic Press).
    Listed reading; requirement unspecified
Fall 2021 · ACTU 491

Readings

  • Shapiro, A., Dentcheva, D., & Ruszczyński, A. (2014). Lectures on stochastic programming: modeling and theory. Society for Industrial and Applied Mathematics.
    Listed reading; requirement unspecified
  • Marceau, É. (2013). Modélisation et évaluation quantitative des risques en actuariat, Modèle sur une période, Springer-Verlag, France.
    Listed reading; requirement unspecified
Sources