Quantitative Methods
As machine learning (ML) and data science become ever more integrated into finance, which factors should we consider for our ML-driven investment models and how should we select among them?
How can quant and fundamental analysts apply LLMs like ChatGPT? How effective a “copilot” can these technologies be?
For most investment managers, ChatGPT represents the starting whistle in a tech arms race many had hoped to avoid.
William Kinlaw, Mark Kritzman, and David Turkington offer advice on a wide range of asset allocation topics, backing up their recommendations with solid quantitative analysis.
Where is the common ground between quant and fundamental investing?
"We are living in a Big Data World," Dan Joldzic, CFA, says. "No single analyst or team of analysts can capture all the information on their positions."
Interpretability is paramount in machine learning.
Gregory Scopino provides a deeply detailed journey through the history of futures and derivative markets regulation.
What impact does cost have on public pension fund performance?
James Simons has lived a life that begs for a biographer.