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Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title Stochastic Finance (Advanced)
Module Code MS526 (ITS) / MTH1072 (Banner)
Faculty Science & Health School Mathematical Sciences
Module Co-ordinatorPaolo Guasoni
Module Teachers-
NFQ level 9 Credit Rating 7.5
Pre-requisite Not Available
Co-requisite Not Available
Compatibles Not Available
Incompatibles Not Available
None
Description

This postgraduate course covers asset pricing, with emphasis on a rigorous analysis of continuous-time models. Arbitrage, trading strategies, market completeness. Portfolio choice in complete and incomplete markets. Myopic and hedging demand. Derivatives pricing: risk-neutral pricing and risk premia.

Learning Outcomes

1. Prove the main results in Mathematical Finance
2. Solve portfolio choice problems rigorously
3. Price assets and derivatives with advanced models
4. Design hedging strategies for new financial products
5. Develop customized pricing methods
6. Critically evaluate the assumptions underlying different asset pricing models



Workload Full-time hours per semester
Type Hours Description
Lecture36Classes
Directed learning3Final Exam
Seminars5Attendance to Research Seminars
Independent Study150Independent work on textbooks and related papers
Total Workload: 194

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Arbitrage
Assets, Payoffs, Simple and Gross Returns, Strategies, Self-financing portfolios, Arbitrage, Stochastic Discount Factors, First and Second Fundamental Theorems of Asset Pricing, Law of one price.

Hedging
Hedging Arbitrage bounds, Replication Bounds, Superhedging, Superreplication Theorem, Market Completeness, Perfect Replication, Redundancy of Assets.

Optimality
Utility Functions, Absolute and Relative Risk Aversion, Allais and Ellsberg paradoxes, Savage Representation, Arbitrage and Utility, First-order condition, Investment and Consumption. Logarithmic, Power, and Exponential Utilities.

Mean-Variance Analysis
Expected Return and Risk, State Price-Beta Representation, Hansen-Jagannathan Bound, Mean-Variance Frontier, Two-fund Separation

Duality
Legendre Transforms and their properties, Duality Method for Verification, Pricing by Marginal Utility. Duality Bounds.

Continuous Time
Bachelier and Samuelson models. Continuous trading. Doubling strategies. Admissible Strategies. Local Martingales and Supermartingales. No arbitrage and Admissibility. Stochastic Discount Factors and Martingale Measures. Bayes' formula.

Diffusion Models
Instantaneous returns and covariances. Stochastic exponential. Discount factors in diffusion models and risk premia. Representation of payoffs.

Portfolio Choice
Utility maximization from terminal wealth and consumption. Solution by Duality in Bachelier and Samuelson models with exponential and power utility. Merton and Markowitz formulas. General solution in complete markets. Duality with consumption.

Stochastic Control
Dynamic programming. Value Function. Hamilton-Jacobi-Bellman equations. Verification. Homogeneity.

Stochastic Investment Opportunities.
Asset Prices and State Variables. Incompleteness. Intertemporal Hedging. Logarithmic and Power Transformations. Long-run limits. Martingale Measures and Risk-Neutral Dynamics. Long-run optimality. Finite-horizon Bounds.

Assessment Breakdown
Continuous Assessment0% Examination Weight100%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Reassessment Requirement Type
Resit arrangements are explained by the following categories:
Resit category 1: A resit is available for both* components of the module.
Resit category 2: No resit is available for a 100% continuous assessment module.
Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 1
Indicative Reading List

  • Hans Follmer, Alexander Schied: 0, Stochastic finance, 3110183463
  • Darrell Duffie: 2001, Dynamic asset pricing theory, Princeton University Press, Princeton, N.J., 978-0691090221
  • Freddy Delbaen, Walter Schachermeyer: 0, The mathematics of arbitrage, 3540219927
Other Resources

None

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