Investment Risk and Return Analysis In Python
14 lessons
Welcome to "Investment Risk and Return Analysis using Python." This course is designed to provide finance students and those interested in investment analysis with a thorough understanding of how to evaluate investment risks and returns through Python.
Our focus is to introduce you to the core concepts of risk and returns in the investment world. We'll start with the basics, explaining what financial risk is and how returns are calculated. Understanding these concepts is crucial for anyone looking to dive into investment analysis.
We will guide you step by step on how to use Python to perform these analyses. Through practical examples, you'll learn how to calculate different types of returns, assess the risk of investments, and analyze the distribution of returns to understand the potential for loss and gain.
The course is structured to be straightforward and easy to follow. We'll cover the statistical foundations necessary for analyzing investment returns, including mean, variance, skewness, and kurtosis. You'll learn not just the theory but also how to apply these statistical measures using Python, providing you with the skills to handle real-world data.
By the end of this course, you should have a solid grasp of investment risk and return analysis. You'll know how to use Python to evaluate the performance of investments and understand the inherent risks, preparing you for more complex areas of portfolio risk management.
Lessons
Investing in financial markets always involves some level of risk, and understanding the relationship between risk and return is crucial for investors. Risk refers to the uncertainty of the outcome of an investment, while return refers to the profit or loss generated by an investment over time. Investors expect to be compensated for taking on additional risk. Let’s understand the concepts of investment risk and return in more detail.
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