Overview
Learn the Quantiative Algorithm called "Backwards Induction" and apply it to Energy Investments, Visit every 6 months to download the updated material!, New topics added often, d
Quantitative Finance professionals, Quantitative Energy professionals, Students & Academics, Portfolio Managers & Economists
The course is designed in a way that no prerequisites are needed. The videos are delivered so that every line of code is explained. And every detail in the Theory is explained.
Contents:
Investments in Energy infrastructure are very expensive. Therefore, many frameworks have been developed for coming up with optimal investment decisions. The problem of selecting optimal investment decisions becomes more challenging when the future is uncertain.
A solution to this challenge is the Backwards Induction Algorithm, which is a framework that can yield optimal investment decisions under uncertainty.
All the calculations are performed manually and also using MATLAB. This allows a full understanding of the algorithm. We are also conducting a sensitivity analysis around key parameters. We apply the problem to an electricity grid, which is about to receive a large number of Electric Vehicles in the future.
This is a problem that almost all electricity grids face.
The Backwards Induction framework uses a scenario tree approach. We first calculate the total costs (investment costs + operational costs) in the last stage, and then we work our way backwards, using probabilities, until the current time. And then we select the investment strategy that minimizes the total expected costs (i.e. the total probability-weighted average costs).
Instructor support:
If you have questions then send a private message here on Udemy.
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Biography:
I am the CEO of Quantalg, a boutique firm focusing on the development of Quantitative Algorithms for Finance and Energy, always using the most up-to-date resources.
I have a PhD in Optimization & Data Science from Imperial College London.
I also have an MEng (Masters of Engineering).
Quantitative Algorithms Team
I lead a team of Academic and Industry researchers.
We have a PhD in Quantitative Finance Algorithms and Quantitative Energy Algorithms. From Top institutions, including MIT, the University of California Berkeley, and Imperial College London.
We offer daily LIVE Classes on Quantitative Finance And Quantitative Energy.
we offer a limited number of positions also to people from low-income communities & disadvantaged backgrounds. If that is you, then visit our website and send a message in the Chat