Chad M. Topaz and Tyrone Bass suggest five steps researchers can take to make more inclusive choices when collecting and ...

Andrew Scheiner ’25 collaborated with Professor of Mathematics Barry Tesman and Assistant Professor of Data Analytics Eren ...

As already alluded to, one of the main uses for HDLs is backtesting, a cornerstone of financial strategy development. With ...

Nvidia Corp. shares erased $593 billion off of their market capitalization on Monday, the biggest daily loss in the history of the U.S. market, according to Dow Jones Market Data. One man was mostly ...

Below is Validea's guru fundamental report for PHILLIPS 66 (PSX). Of the 22 guru strategies we follow, PSX rates highest using our Shareholder Yield Investor model based on the published strategy ...

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This opens up new possibilities for quantitative ... analysis and get additional insights. Interested in learning more about our data offering? Bloomberg’s Enterprise Investment Research Data ...

As we began to emerge from the worst of the pandemic, we ended quantitative easing (QE ... we determined from these discussions and our own subsequent analysis that precautionary demand had grown ...

The adoption of quantitative and Artificial Intelligence (AI)/Machine Learning (ML) techniques, and the growth of systematic strategies have made investment research data especially important for ...

Department of Hepatobiliary and Pancreatic Surgery II, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin 130012, P. R. China State Key Laboratory of Integrated ...

Accordingly, this paper explores the potential and pitfalls of using a tool like ChatGPT as an assistant in quantitative data analysis. We investigate the practical use of ChatGPT-3.5 by replicating ...