Learn to code Financial Portfolio Optimization models

[ DevCourseWeb.com ] Learn to code Financial Portfolio Optimization models



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Created by Dr. Spyros Giannelos . | Published 2/2021

Duration: 2 hours | 3 sections | 13 lectures | Video: 1280x720, 44 KHz | 1.1 GB

Genre: eLearning | Language: English + Sub

A data science & optimization course using GAMS & FICO software



What you'll learn

Portfolio Optimization

The effect of uncertain asset prices

The effect of deterministic asset prices

Coding in GAMS

Coding in FICO

Stochastic Optimization application in Finance



Requirements

There are no pre-requisites. We start from zero.

Description

We develop Stochastic Optimization models and apply them to Finance. Specifically... 

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a) We install  FICO and GAMS software and learn the fundamental code needed.

b) We define what Stochastic Optimization is,  what a scenario is, what uncertainty is, what the levels of uncertainty are, nwhat a Scenario Tree is , and we look at mathematical formulations for Stochastic Optimization.

c) We apply Stochastic Optimization to Finance. Specifically we build a Portfolio Optimization model. We use FICO and GAMS software tools.

d)  We learn the differences between deterministic and stochastic optimization.  The code is significantly different in these two versions of optimization. 

e) We conduct sensitivity analyses on stochastic optimization problems.

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The entire FICO and GAMS code, and complementary material used in this course, are all available to download.

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No prerequisites are specified for this course.

We start, literally, from the very beginning and build , step by step, the necessary knowledge.

In case you have difficulties , please feel free to post them in the Q & A section.

Thank you, and see you in the course.

Any questions you may have please feel free to message me or to simply participate in the Q and A section inside the course.

This will allow you to engage with fellow researchers and finance audience.

Who this course is for:Quant ResearchersPhD Students and AcademicsInvestors and EnterpreneursPostgraduate students with an interest in finance



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