Hugh DonnellyinDataDrivenInvestorMachine Learning used for Asset Allocation: Multi-task LassoTo outperform benchmarks, we use machine learning to make future returns predictions for equity and fixed income ETFs.Oct 7, 20212Oct 7, 20212
Hugh DonnellyinAnalytics VidhyaMachine Learning used to build a Diversified Portfolio: K-Means ClusteringWe use K-Means Clustering to build a diversified portfolio of stocks in the S&P 500 that have similar characteristics.Sep 30, 2021Sep 30, 2021
Hugh DonnellyinAnalytics VidhyaMachine Learning to Predict Earnings for Stocks: Neural NetworksWe use Neural Networks to predict the direction of the next quarter’s earnings for stocks based on the current quarter’s fundamental data.Sep 23, 2021Sep 23, 2021
Hugh DonnellyinAnalytics VidhyaMachine Learning to Predict Earnings for Stocks: Support-vector MachinesIn this article, we use support-vector machines (SVM) to predict earnings for stocks.Sep 16, 2021Sep 16, 2021
Hugh DonnellyinAnalytics VidhyaMachine Learning to Predict Bond Classification: Decision Trees and Random ForestsDecision Trees are a form of supervised Machine Learning that seek to build a simple set of decision rules to make predictions.Sep 9, 2021Sep 9, 2021
Hugh DonnellyinAnalytics VidhyaMachine Learning to Predict Credit Ratings using k-NNWe apply k-nearest neighbors (k-NN) to financial data of high yield and investment grade bonds so that we can predict the credit rating.Aug 24, 2021Aug 24, 2021
Hugh DonnellyinAnalytics VidhyaMachine Learning for Stock Trading: Natural Language ProcessingUsing Machine Learning tools in the pair trading investment process, we show how to create sensible pairs without using any price data.Jul 20, 2021Jul 20, 2021
Hugh DonnellyinAnalytics VidhyaMachine Learning for ESG Stock Trading: PCA and ClusteringWe show how popular algorithms from Machine Learning can help us navigate a very high-dimensional search space to find tradable pairs.Jun 30, 20211Jun 30, 20211
Hugh DonnellyinAnalytics VidhyaMachine Learning for Stock Trading: Unsupervised Learning TechniquesEmploys several unsupervised learning techniques in scikit-learn to extract the stock market structure.Jun 9, 2021Jun 9, 2021
Hugh DonnellyinGeek CultureIntroduction to Machine Learning: RegressionIntroductionMay 22, 20211May 22, 20211
Hugh DonnellyinDataDrivenInvestorIntroduction to Machine Learning (an Overview)This article aims to introduce users to basic ML concepts and lay the foundation for future learning and exploration of ML.May 10, 2021May 10, 2021
