The COVID-19 crisis has sped up several structural trends and triggered an urgent need to rethink deeply how investors approach financial markets. Indeed, the quickest we learn how to adapt to the increased “evolutionary pressure”, the fastest we will overcome and succeed in the aftermath of the global pandemic. In this sense, the extent by which AI and Machine learning empower us to thrive in this uncharted territory is clear: they are very powerful tools to improve our investment decision-making, and consequently, build better and more resilient portfolios.

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In the second issue of this two-part paper, we share new insights to help asset and investment managers face these unprecedented times. From reconsidering how classical theories remain a valuable compass for investors during turbulent times, to weighing the benefits of AI to build a better portfolio positioning, these insights will help frame where opportunities lie, and where the latest breakthroughs in the field of machine learning and quantitative finance are leading the world of investing. How will asset allocation look like in the 2020s?