The prescriptive nature of market timing and predictive portfolios.

This article investigates the use of market timing through model-based forecasts that incorporate information beyond traditional momentum to construct long-short portfolios with superior returns compared to standard benchmarks. Employing both linear and non-linear forecasting models, the methodology predicts the direction of asset returns to form portfolios divided into long and short positions, embodying the concept of "prediction-led prescription," where forward-looking predictive analytics guide investment decisions. Empirical results using Exchange Traded Funds (ETFs) demonstrate that portfolios based on accurate sign forecasts consistently outperform passive benchmarks, yielding higher returns and Sharpe ratios, with statistical tests confirming significant excess returns. The study highlights the potential of predictive portfolio allocation as a valuable tool for investors and suggests extensions involving alternative performance metrics and portfolio weighting schemes, positioning the approach as an early-stage cognitive analytics method for investment management.