Global Allocation Research Report

Helps You Manage Drawdowns Without Losing Upside Potential

Adapt Your ETF Allocations using Advanced Machine Learning

Bénéficiez d'informations uniques et exploitables

Augment and Sharpen your Decisions

Adapt Your ETF Allocations to Market Realities

Our Global Allocation Research report uses the Laplace Advanced Machine Learning (ML) platform to help you shift to safe assets during turbulent markets and to growth assets when all is clear. Allocation recommendations are 100% transparent, consisting entirely of low-cost, highly liquid ETFs. 

Published on the last trading day of the month, our report analyzes the expected volatility and returns for each of the world’s major asset classes and ranks the relative attractiveness of all eleven S&P 500 sectors for the upcoming month. The report also discusses the key factors driving the platform’s allocation recommendations, providing you with unique, emotion-free insights to help sharpen your investment decisions and refine your discussions with clients. 

Research Report Contents

Stratégie d'allocation globale

  • Recommends allocations within a set of 15 low cost ETFs, each representing an asset class.
  • Obtenez de l’information pertinente concernant les mouvements de marché.
  • Facilitez vos recherches et utilisez notre information afin d’optimiser l’allocation tactique du portefeuille de vos clients.

Aperçu des secteurs du S&P 500

  • Profitez des prévisions de performance Profitez des prévisions de performance.
  • Use it to overweight or underweight sectors and improve performance relative to the S&P 500.
Michael-Himmel-300x280

"J'ai été vraiment impressionné par l'approche rigoureuse utilisée afin d’assurer la robustesse des algorithmes, et ce, dans un large éventail de situations de marché. La profondeur des analyses et l’approche statistique me donnent la confiance dont j'ai besoin pour l'utiliser avec mes clients."