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Hands-On Simulation Modeling with Python

You're reading from   Hands-On Simulation Modeling with Python Develop simulation models for improved efficiency and precision in the decision-making process

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781804616888
Length 460 pages
Edition 2nd Edition
Languages
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Author (1):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (19) Chapters Close

Preface 1. Part 1:Getting Started with Numerical Simulation
2. Chapter 1: Introducing Simulation Models FREE CHAPTER 3. Chapter 2: Understanding Randomness and Random Numbers 4. Chapter 3: Probability and Data Generation Processes 5. Part 2:Simulation Modeling Algorithms and Techniques
6. Chapter 4: Exploring Monte Carlo Simulations 7. Chapter 5: Simulation-Based Markov Decision Processes 8. Chapter 6: Resampling Methods 9. Chapter 7: Using Simulation to Improve and Optimize Systems 10. Chapter 8: Introducing Evolutionary Systems 11. Part 3:Simulation Applications to Solve Real-World Problems
12. Chapter 9: Using Simulation Models for Financial Engineering 13. Chapter 10: Simulating Physical Phenomena Using Neural Networks 14. Chapter 11: Modeling and Simulation for Project Management 15. Chapter 12: Simulating Models for Fault Diagnosis in Dynamic Systems 16. Chapter 13: What’s Next? 17. Index 18. Other Books You May Enjoy

Studying risk models for portfolio management

Having a good risk measure is of fundamental importance in finance, as it is one of the main tools for evaluating financial assets. This is because it allows you to monitor securities and provides a criterion for the construction of portfolios. One measure that has been widely used over the years more than any other is variance.

Using variance as a risk measure

The advantage of a diversified portfolio in terms of risk and expected value is that it allows us to find the right allocation for securities. Our aim is to obtain the highest expected value at the same risk or to minimize the risk of obtaining the same expected value. To achieve this, it is necessary to trace the concept of risk back to a measurable quantity, which is generally referred to as the variance. Therefore, by maximizing the expected value of the portfolio returns for each level of variance, it is possible to reconstruct a curve called the efficient frontier, which...

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