Discover how the Federal Reserve's quantitative easing influenced the M1 money supply, affected bank lending, and altered interest rates during financial crises.

Quantitative coronary plaque analysis (QCPA) is an emerging tool that allows noninvasive quantification and characterization of coronary atherosclerosis on the basis of coronary computed tomography ...

The Federal Reserve will end its current round of quantitative tightening on December 1, signaling a potential shift toward quantitative easing. Since 2009, the Fed has managed monetary policy through ...

This whitepaper explores the development and implementation of such procedures using the Bruker Fourier 80 benchtop NMR spectrometer. Through examples involving model drug products, it highlights how ...

Quant trading uses math and data to predict stock price changes and execute trades quickly. Computers in quant trading base decisions on data, removing the emotional risks of investing. Retail access ...

Psychology’s continued crises in replicability, validity, generalisability—and thus confidence in its findings—are currently attributed primarily to questionable research practices (QRPs; e.g., ...

Research is the backbone of society's progress. Without it, there would be no new drugs, tech, etc. Basically, every trace of human progress could grind to a halt. However, research is only as good as ...

You’re a curious one, aren’t you? Always asking questions and trying to understand the world around you. That’s the heart of research, having an inquisitive mind and desire to dig deeper. When you ...

Abstract: Quantitative finance has been receiving an increasing amount of attention, both from industry and research communities. Yet there is no standardized framework which would allow for a ...

Are you a STEM student or professional looking to move into the lucrative and fascinating world of Quantitative Finance? What are the pathways into further study? What compensation can one expect ...

Abstract: The escalating integration of Artificial Intelligence (AI) in various domains, especially Project Management (PM), has brought to light the imperative need for inclusivity in AI systems.