Results 81 to 90 of about 679,163 (312)
An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges [PDF]
Santosh Kumar Sahu +2 more
openalex +1 more source
The role of finance in the decision-making of higher education applicants and students: findings from the Going into Higher Education Research study (BIS Research Paper No.9) [PDF]
"This report summarises findings from the Going into HE research project. From the outset, the aim has been to develop a clear understanding of: the role and importance of finance in the decision-making process of English-domiciled people from different ...
Baldwin, Susanna +4 more
core
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli +8 more
wiley +1 more source
Special Issue on Artificial Intelligence, Machine Learning and Platform Innovation in Quantitative Finance (MathFinance Conference 2020/2021). [PDF]
Packham N, Wystup U.
europepmc +1 more source
Finance and Growth: A Critical Survey [PDF]
We present a survey of the finance-growth nexus that raises a number of qualifications to the mainstream interpretation. Doubts regarding empirical consensus are investigated and we consider the prevalence of cross-section econometrics as dominant in ...
Alex Trew
core
Objective The aim of this systematic review was to synthesize the economic impact of rheumatoid arthritis (RA) on households, health systems, and society in low‐ and middle‐income countries (LMICs). Methods Electronic databases such as PubMed, Web of Science, and CINAHL were searched using keywords related to RA and cost of illness.
Tadesse Gebrye +6 more
wiley +1 more source
U.S. Equity Mean-Reversion Examined
In this paper we introduce an intra-sector dynamic trading strategy that captures mean-reversion opportunities across liquid U.S. stocks. Our strategy combines the Avellaneda and Lee methodology (AL; Quant. Financ. 2010, 10, 761–782) within the Black and
Jim Liew, Ryan Roberts
doaj +1 more source
Objective We conducted formative research aimed at identifying solutions that address inequitable health outcomes in lupus due to adverse social determinants of health (SDoH). Methods We conducted a search for keywords, which provided insights into potential solutions and initiatives underway. An advisory panel of lupus experts iteratively reviewed the
Joy Buie +11 more
wiley +1 more source
Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering [PDF]
Mark Greenwood
openalex +1 more source

