Data-Driven Investor
Big tech is spending big on AI technologies. Training and operating them has raised concerns about environmental impact. What disclosures should sustainable investors demand?
Big data-driven AI in financial services is a technology that augments human capabilities. We are living in countries governed by the rule of law, and only humans can adopt safeguards, make decisions, and take responsibility for the results.
The relationship between stocks and interest rates is not reliably stable. There are periods when equities are highly rate sensitive, and periods when they aren't.
Mega-cap concentration has exploded since 2015. The corollary to an increasingly top-heavy benchmark is that market diversification and breadth have never been more limited. A multifactor methodology can be a restorative balance to US equities when more traditional measures fall short.
Asset classes such as commodities have historically had notable diversification benefits for longer-term investors who are concerned with inflation.
While the immediate future may not be promising for the equity premium, it looks bright for factor premiums.
While there are periods when gold has hedged inflation quite well, beware blanket claims of gold's inflation-hedging utility.
An analysis of the Fed's recent rounds of quantitative tightening (QT) and quantitative easing (QE) yields actionable insights about the relationship between monetary policy and financial conditions.
Stocks are a good investment long-term, providing that you dial in your expectations. New historical findings provide a richer, more complete understanding of international returns.
Are investment returns random across time as Burton Malkiel suggests in his book, A Random Walk Down Wall Street? There is notable disagreement on this topic. This research finds that practitioners may need to rethink their portfolio optimization routines.