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Experts and Bandits (non-stochastic)

  • Weighted majority algorithm its variant for Bandit Problems.

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Unknown's avatarAuthor appliedprobabilityPosted on April 5, 2018April 18, 2018Categories Control, Control for Finance, MATH69122 Stochastic Control for Finance, Optimization, ProbabilityLeave a comment on Experts and Bandits (non-stochastic)

More on Merton Portfolio Optimization

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Unknown's avatarAuthor appliedprobabilityPosted on March 21, 2018April 11, 2018Categories Control, Control for Finance, MATH69122 Stochastic Control for Finance, Optimization, ProbabilityLeave a comment on More on Merton Portfolio Optimization

Merton Portfolio Optimization

We consider a specific diffusion control problem. We focus on setting where there is one risky asset and one riskless asset, though we will see that much of the analysis passes over to multiple assets.

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Unknown's avatarAuthor appliedprobabilityPosted on March 9, 2018July 9, 2018Categories MATH69122 Stochastic Control for Finance1 Comment on Merton Portfolio Optimization

Diffusion Control Problems

  • The Hamilton-Jacobi-Bellman Equation.
  • Heuristic derivation of the HJB equation.
  • Davis-Varaiya Martingale Prinicple for Optimality

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Unknown's avatarAuthor appliedprobabilityPosted on February 27, 2018February 28, 2018Categories Control, Control for Finance, MATH69122 Stochastic Control for Finance, ProbabilityLeave a comment on Diffusion Control Problems

Stochastic Integration – a Heuristic view


Heuristic derivation of

  • the Stochastic Integral
  • Stochastic Differential Equations
  • Ito’s Formula

 

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Unknown's avatarAuthor appliedprobabilityPosted on February 27, 2018February 27, 2018Categories Control for Finance, MATH69122 Stochastic Control for Finance, ProbabilityLeave a comment on Stochastic Integration – a Heuristic view

Continuous Time Dynamic Programs

  •  Continuous-time dynamic programs
  • The HJB equation; a heuristic derivation; and proof of optimality.

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Unknown's avatarAuthor appliedprobabilityPosted on February 19, 2018February 27, 2018Categories Control, Control for Finance, MATH69122 Stochastic Control for FinanceLeave a comment on Continuous Time Dynamic Programs

Optimal Stopping


  • Optimal Stopping Problems; One-Step-Look-Ahead Rule
  • The Secretary Problem.
  • Infinite Time Stopping

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Unknown's avatarAuthor appliedprobabilityPosted on February 19, 2018February 27, 2018Categories Control for Finance, MATH69122 Stochastic Control for Finance, OptimizationLeave a comment on Optimal Stopping

Algorithms for MDPs

  • High level idea: Policy Improvement and Policy Evaluation.
  • Value Iteration; Policy Iteration.
  • Temporal Differences; Q-factors.

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Unknown's avatarAuthor appliedprobabilityPosted on February 7, 2018February 13, 2018Categories Control, Control for Finance, MATH69122 Stochastic Control for Finance, OptimizationLeave a comment on Algorithms for MDPs

Infinite Time Horizon, MDP

  • Positive Programming, Negative Programming & Discounted Programming.
  • Optimality Conditions.

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Unknown's avatarAuthor appliedprobabilityPosted on February 7, 2018February 13, 2018Categories Control, Control for Finance, MATH69122 Stochastic Control for Finance, Optimization, ProbabilityLeave a comment on Infinite Time Horizon, MDP

Markov Decision Processes

  • Markov Decisions Problems; Bellman’s Equation; Two examples

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Unknown's avatarAuthor appliedprobabilityPosted on January 30, 2018February 6, 2018Categories Control, Control for Finance, MATH69122 Stochastic Control for FinanceLeave a comment on Markov Decision Processes

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