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Modeling Market Prices Using Stochastic Processes with Wolfram Language / with Wolfram Research

LinkedIn Learning Available online

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Format:
Video
Author/Creator:
Research, Wolfram, speaker.
Contributor:
linkedin.com (Firm)
Language:
English
Genre:
Instructional films.
Educational films.
Physical Description:
1 online resource
Place of Publication:
Carpenteria, CA : linkedin.com, 2024.
System Details:
digital
Summary:
Learn about the collection of stochastic processes and statistical distributions in the Wolfram Language that can be fitted to a wide array of market phenomena.
The Wolfram Language contains a complete collection of stochastic processes and statistical distributions that can be fitted to a wide array of market phenomena. This course illustrates this by explaining the modeling of stock prices, portfolios, index returns, bonds, option prices, exchange rates, and conditional risk using stochastic processes such as the ARCH process, vector-valued time series, the ARMA model, Chen's model, the Ito process, and Merton jump diffusion. Learn how to access financial data from the Wolfram Knowledge base, smooth and transform data, build models for examining stock prices and returns, test different types of models, examine distribution patterns of prices and returns, and more.
Participant:
Presenter: Wolfram Research
Notes:
1/08/2024
Access Restriction:
Restricted for use by site license.

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