Forecasting Bitcoin Volatility using Regression Learner App

This file is for the video demo with the same title showing how to predict volatility using Regression Learner App

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更新 2018/10/4

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Volatility forecasting is common but still a very important problem in finance, especially in risk management and quantitative finance. In this demo, we will show how to apply machine learning (regression) techniques to forecast a continuous response variable like volatility using the BitCoin data from Quandl. Moreover, you will also see how easy it is to use MATLAB to perform a complicated task like hyperparameter optimization.

引用

MathWorks Quant Team (2023). Forecasting Bitcoin Volatility using Regression Learner App (https://www.mathworks.com/matlabcentral/fileexchange/68801-forecasting-bitcoin-volatility-using-regression-learner-app), MATLAB Central File Exchange. 取得済み .

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作成: R2018b
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1.0.1

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