outputs/Why is feature engineering important in financial forecasting/research--7260079429866833403.txt

[{"title": "Survey of feature selection and extraction techniques for stock market ...", "href": "https://jfin-swufe.springeropen.com/articles/10.1186/s40854-022-00441-7", "body": "In stock market forecasting, the identification of critical features that affect the performance of machine learning (ML) models is crucial to achieve accurate stock price predictions. Several review papers in the literature have focused on various ML, statistical, and deep learning-based methods used in stock market forecasting. However, no survey study has explored feature selection and ..."}, {"title": "Feature Engineering for Predictive Modeling: A Guide - LinkedIn", "href": "https://www.linkedin.com/advice/3/how-do-you-use-feature-engineering-improve", "body": "Encoding, scaling, binning, aggregation, and transformation are some common techniques for creating features. For example, one-hot encoding or label encoding can be used to encode categorical..."}, {"title": "Financial Forecasting: How to Do It with Different Methods, Models ...", "href": "https://blog.hubspot.com/sales/financial-forecasting", "body": "1. What is financial forecasting? Forecasting vs. Budgeting 2. Financial Forecasting Models Top-Down Financial Forecasting Delphi Financial Forecasting Statistical Forecasting Bottom-Up Financial Forecasting 3. Financial Forecasting Methods Straight Line Simple Linear Regression Multiple Linear Regression Moving Average 4."}]