Data and analytics have climbed to the top of Wall Street’s wish list. Together, they promise to transform the way investors view the market, cutting through dense information to uncover new sources of returns unseen by top-down stock picking funds.
Data and talent have become the key focal points of investment firms as they continuously seek untapped sources of alpha.
The line between fundamental and quantitative investing is blurring as fundamental investors adopt tools and approaches long employed by “quants.”
The rise of algorithms is giving Wall Street a makeover as traders and investors look to high-powered machines and unique datasets for market-moving signals.
Volatility returned to the forefront earlier this year after an extended period of calm in the market, leaving investors unsure of what to make of the shift.
The evolution of Big Data and onset of alternative data continues to change investor’s perception of systematic strategies that employ high-speed algorithms to gain an edge.
The regulatory-driven origin of CDOs creates certain challenges as the scope of the role evolves and expands.
Getting your head around cryptocurrencies was hard enough before governments got involved. But now policy makers around the world are drawing up fresh regulations on everything from exchanges to initial coin offerings and the rules can vary wildly given a lack of global coordination among authorities.
As quantitative strategies have become a popular avenue for optimizing investment and risk assessment, they have also become a keen tool for understanding shifts in the market and charting a course to managing change.
An explosion of interest in automated, algorithmic investment approaches has shined a spotlight on the finance industry.