This is the dedicated discussion of Wolfram U’s course: Introduction to Stochastic Processes for Finance Research and Trading.
Take the course here: Stochastic Processes for Finance Research and Trading
Please feel free to use this thread to collaborate and share ideas, materials and links to other resources with fellow learners as you work through the Introduction to Stochastic Processes for Finance Research and Trading course! Join Jonathan Kinlay and fellow learners to learn about modeling financial data with stochastic processes for quantitative research and trading. Course topics include properties and applications for various stochastic processes such as a random walk, the Wiener process and geometric Brownian motion. Analysts and portfolio managers in the financial sector often rely on computational models for managing assets and optimizing investment portfolios, and modeling stochastic processes helps you make sense of and predict outcomes in random data, like stock prices.
If you want more, try out Modeling Market Prices Using Stochastic Processes, Random Processes in Finance and Optimization of Portfolios and Investments on Wolfram U!
