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AMPL SHELL References

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Whitepapers

OPT001 - Asset Liability Management Using Stochastic Programming

PDF

OPT002 - Portfolio Optimisation

PDF

OPT003 - Supply Chain Planning and Management

PDF

OPT004 - Scenario Generation for Stochastic Programming

PDF

OPT005 - Introduction to Hedge Funds

PDF

OPT006 - Equity Portfolio Risk (Volatility) Estimation Using Market Information and Sentiment

PDF

OPT007 - Models and Solution Methods for Liability Determined Investment

PDF

OPT008 - Measuring Pension Fund Performance using Risk-Adjusted Measurements

PDF

OPT009 - Evaluation and Simulation of Liability Determined Investment Models

PDF

OPT010 - Scenario Generation for Financial Modelling Desirable Properties and A Case Study

PDF

OPT011 - Quantitative Methods for LDI Solutions

PDF

OPT012 – LDI: An Enterprise-Wide Risk Management Approach

PDF

OPT013 - Defined contribution schemes: Members alive and kicking! But is the fund dead?

PDF

Handbooks

News Analytics Handbooks

PDF

Asset Liability Management Handbooks

PDF

Case Studies

Finance

PDF

Supply Chain

PDF

Natural oil purchase policy

PDF

Optimisation

PDF

Scheduling

PDF

Software Brochures

FortMP Optimisation System

PDF

Support and Solution Services

PDF

SPInE: Stochastic Programming Integrated Environment

PDF

Training Brochures

Robust Portfolio Optimisation

PDF

LDI/ALM Workshop

PDF

Risk Control & Acceptability Measures

PDF

News Analytics

PDF

Financial Risk Manager (FRM) Certification

PDF

Optimisation Series 2007 (2008 dates TBA)

PDF

Presentations

OptiRisk Company Presentation

PPT

OptiRisk Products Presentation

PPT

Algorithmic Trading: Market Impact Models and Trade Scheduling

PDF

Mathematical Programming Models for Asset and Liability Models

PPT

SPInE, a combined paradigm of SP and simulation

PDF

Scenario Generation for the Asset Allocation Problem

PPT

Handling Second-Order Stochastic Dominance through cutting-plane representations

PPT

Mathematical Programming Models for Asset and Liability Management

PPT

Computational methods for processing two stage stochastic programming problems

PPT