PSO& GA for Portfolio Optimisation faq

learnersLearners: 447
instructor Instructor: Vaïna Venkiah instructor-icon
duration Duration: instructor-icon

Learn how to implement Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) to solve portfolio optimization problems in this engaging video course. Discover how these powerful algorithms compete against each other to maximize market returns and achieve optimal portfolio efficiency. Get a comprehesive understanding of this course which is a free course. OeClass provides this course data for free. Learn more certificate and details here.

Course Feature Course Overview Course Provider
Go to class

Course Feature

costCost:

Free

providerProvider:

Youtube

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

2020-11-29 00:00:00

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [October 18th, 2023]

We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it: (Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.) What skills and knowledge will you acquire during this course? During this course, the learner will acquire the following skills and knowledge: 1. Understanding of Portfolio Optimization: The learner will gain knowledge about the concept of portfolio optimization and its importance in investment decision-making. 2. Genetic Algorithms (GA): The learner will acquire skills in implementing genetic algorithms for solving optimization problems, specifically for portfolio optimization. They will learn about the various components of GA, such as selection, crossover, and mutation. 3. Particle Swarm Optimization (PSO): The learner will gain knowledge and skills in implementing particle swarm optimization for portfolio optimization. They will understand the working principles of PSO and how it can be applied to solve optimization problems. 4. Weighting Market Return: The learner will learn how to assign weights to different assets in a portfolio based on their market return. They will understand the significance of weighting and its impact on portfolio performance. 5. Comparing GA and PSO: The learner will acquire skills in comparing the performance of GA and PSO algorithms for portfolio optimization. They will learn how to evaluate the efficiency and effectiveness of these algorithms in achieving optimal portfolio solutions. Overall, this course will provide the learner with a comprehensive understanding of portfolio optimization techniques using GA and PSO, along with the ability to apply these techniques to real-world investment problems. Who will benefit from this course? This course will benefit individuals or professionals in the field of finance, investment management, or portfolio optimization. It is specifically useful for those who are interested in learning about and implementing Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) techniques for portfolio optimization problems. The course focuses on the weighting of assets in a portfolio to maximize market return, and it demonstrates how GA and PSO can be used to compete against each other in order to achieve optimal efficiency.

Course Provider

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