21 March 2021 | Published by : Baturi | Views: 37 | Category: Tutorials


Udemy - Learn to code Financial Portfolio Optimization models
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 FICOand 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 FICOand 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 FICOand 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&Asection.
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 Qand 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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