Forecasting Real Estate Prices in Romania: A Lag Optimized Linear Approach

This study focuses on the real estate market in Romania and presents a forecasting model for predicting future real estate prices. The model, based on multiple linear regression, provides a comprehensive understanding of the market and enables real estate analysts to devise more efficient investment strategies. By enhancing investment efficiency, the model contributes to the overall efficiency of financial markets and supports sustained economic benefits for stakeholders. Although limited to a specific timeframe and apartment auction markets in Romania, future research can expand the model’s scope, improve accuracy through diverse data sets, and explore key factors for enhanced performance. The study’s contribution lies in its valuable insights for real estate analysts, enhancing investment efficiency, and fostering sustained economic benefits for stakeholders.