Hands On Training

GARCH Models in Python

Name: GARCH Models in Python
Brand: Careervira
Price: 73 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Finance is all about volatility. GARCH Python models are very popular for forecasting variance changes when working with time-dependent information. This course will show you how to use the GARCH models and which assumptions to make. This course teaches you how to predict volatility and evaluate model performance. Real-world data, including historical Tesla stock prices, will be used to give you practical experience in quantifying portfolio risks by using covariance, value-at-risk and stock beta calculations. You can apply the knowledge to many assets, including stocks and indices. This will allow you to use the GARCH models.

Highlights

Rating & Reviews

Top 30 Percentile

Pedagogy

Top 10 Percentile

Parameters

Pedagogy

Acquire all major Python Programming for Data Science skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Python Programming for Data Science, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs. With a focus on cultivating industry-relevant skills, this course ensures that learners attain a skillset aligned with current industry demands.

Rating & Reviews

This highly acclaimed course is among the top-rated in Python Programming for Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming for Data Science.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Time Series Analysis in Python

What You Will Learn

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange

This course will show you how and when to implement GARCH models, how to specify model assumptions, and how to make volatility forecasts and evaluate model performance

Using real-world data, including historical Tesla stock prices, you’ll gain hands-on experience of how to better quantify portfolio risks, through calculations of Value-at-Risk, covariance, and stock Beta

You’ll also apply what you’ve learned to a wide range of assets, including stocks, indices, cryptocurrencies, and foreign exchange, preparing you to go forth and use GARCH models

Course Content

Expand all sections

Module 1: GARCH Model Fundamentals

Module 2: GARCH Model Configuration

Module 3: Model Performance Evaluation

Module 4: GARCH in Action

Course Instructors

Chelsea Yang

Data Science Instructor

Chelsea is a senior quantitative analyst with over a decade experience working for top asset managers and financial institutions. She is a data science enthusiast and passionate about its application...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%