Results 31 to 40 of about 488,225 (292)
A Hybrid Artificial Intelligence Approach to Portfolio Management [PDF]
Iranian Journal of Finance, 2022 The tremendous advances in artificial intelligence over the past decade have led to their increasing use in financial markets. In recent years a large number of investment companies and hedge funds have been implementing algorithmic and automated trading
Hamidreza Haddadian +2 more
doaj +1 more source
ACM Transactions on Computation TheoryUnderstanding and mitigating systemic risk is an important ongoing challenge in financial networks. We study an approach to rescue a bank in distress based on the idea of claims trading , a notion defined in Chapter 11 of the U.S. Bankruptcy Code.
Martin Hoefer +2 more
openaire +7 more sources
New frontiers in financial markets: from machine learning to algorithmic trading [PDF]
Risk Management Magazine, 2019 Fintech, Distristributed Ledgers Tecnology (DLT), blockchain, machine learning, algorithmic trading and High Frequency Trading (HFT), are among the most disruptive digital innovations that are transforming the structure of any industrial sector ...
Valentina Lagasio
doaj +1 more source
HETEROGENEOUS TRADING STRATEGY ENSEMBLING FOR INTRADAY TRADING ALGORITHMS
South African Journal of Industrial Engineering, 2023 Since the inception of algorithmic trading during the mid-1970s, considerable resources and time have been committed by the financial sector to the development of trading algorithms in the hope of obtaining a competitive advantage over human contenders.
Koegelenberg, D.J.C, van Vuuren, J.H.
openaire +2 more sources
Assessing the impact of algorithmic trading on markets: a simulation approach [PDF]
, 2008 Innovative automated execution strategies like Algorithmic Trading gain significant market share on electronic market venues worldwide, although their impact on market outcome has not been investigated in depth yet.
Gsell, Markus
core
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
The Features of Building a Portfolio of Trading Strategies Using the SAS OPTMODEL Procedure
Computation, 2021 The article describes the original information technology of the algorithmic trading, designed to solve the problem of forming the optimal portfolio of trade strategies.
Oleksandr Terentiev +4 more
doaj +1 more source
Does Algorithmic Trading Improve Liquidity? [PDF]
The Journal of Finance, 2011 ABSTRACTAlgorithmic trading (AT) has increased sharply over the past decade. Does it improve market quality, and should it be encouraged? We provide the first analysis of this question. The New York Stock Exchange automated quote dissemination in 2003, and we use this change in market structure that increases AT as an exogenous instrument to measure ...
Hendershott, Terrence +2 more
openaire +3 more sources
Algorithmic trading engines versus human traders – do they behave different in securities markets? [PDF]
, 2009 After exchanges and alternative trading venues have introduced electronic execution mechanisms worldwide, the focus of the securities trading industry shifted to the use of fully electronic trading engines by banks, brokers and their institutional ...
Gomber, Peter, Gsell, Markus
core
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source