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Intro to Computational Finance with R

Beginner
Updated 01/2025
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Course Description

In this course, you'll make use of R to analyze financial data, estimate statistical models, and construct optimized portfolios. You will learn how to build probability models for assets returns, the way you should apply statistical techniques to evaluate if asset returns are normally distributed, methods to evaluate statistical models, and portfolio optimization techniques.
The material in this course was originally developed as a complement to Prof. Eric Zivot's Coursera lectures. Having a good mathematical basis, and an interest in financial markets is recommended.

Prerequisites

There are no prerequisites for this course
1

Return calculations

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2

Random variables and probability distributions

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3

Bivariate distributions

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4

Simulating time series data

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5

Analyzing stock returns

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6

Constant expected return model

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7

Introduction to portfolio theory

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8

Computing efficient portfolios using matrix algebra

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Intro to Computational Finance with R
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