Hierarchical Deep Learning for Long-Term House Transaction Volume Forecasting

Abstract

This seminar presents Accurate long term forecasting of house transaction volume is important for financial planning, resource allocation, capacity management, and strategic decision-making in the real estate and mortgage industry. This presentation demonstrates a hierarchical deep learning based time-series forecasting approach for predicting future transaction volumes from historical monthly data..