Results 81 to 90 of about 690,121 (120)

Explainable AI in Request-for-Quote

open access: yes
In the contemporary financial landscape, accurately predicting the probability of filling a Request-For-Quote (RFQ) is crucial for improving market efficiency for less liquid asset classes.
Zhou, Qiqin
core  

On Designs of Radix Converters Using Arithmetic Decompositions--Binary to Decimal Converters--

open access: yesIEEE International Symposium on Multiple-Valued Logic, 2006
Y. Iguchi, Tsutomu Sasao, M. Matsuura
semanticscholar   +1 more source

Calibrating the Heston Model with Deep Differential Networks

open access: yes
We propose a gradient-based deep learning framework to calibrate the Heston option pricing model (Heston, 1993). Our neural network, henceforth deep differential network (DDN), learns both the Heston pricing formula for plain-vanilla options and the ...
Amici, Giovanni   +2 more
core  

Modelling Opaque Bilateral Market Dynamics in Financial Trading: Insights from a Multi-Agent Simulation Study

open access: yes
Exploring complex adaptive financial trading environments through multi-agent based simulation methods presents an innovative approach within the realm of quantitative finance.
Vidler, Alicia, Walsh, Toby
core  

Pricing and calibration in the 4-factor path-dependent volatility model

open access: yes
We consider the path-dependent volatility (PDV) model of Guyon and Lekeufack (2023), where the instantaneous volatility is a linear combination of a weighted sum of past returns and the square root of a weighted sum of past squared returns.
Gazzani, Guido, Guyon, Julien
core  

Deep Hedging with Market Impact

open access: yes
Dynamic hedging is the practice of periodically transacting financial instruments to offset the risk caused by an investment or a liability. Dynamic hedging optimization can be framed as a sequential decision problem; thus, Reinforcement Learning (RL ...
Godin, Frédéric   +3 more
core  

A Path Integral Approach for Time-Dependent Hamiltonians with Applications to Derivatives Pricing

open access: yes
We generalize a semi-classical path integral approach originally introduced by Giachetti and Tognetti [Phys. Rev. Lett. 55, 912 (1985)] and Feynman and Kleinert [Phys. Rev.
Capriotti, Luca, Stedman, Mark
core  
Some of the next articles are maybe not open access.

Related searches:

From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape

Technologies, 2023
This comprehensive survey explored the evolving landscape of generative Artificial Intelligence (AI), with a specific focus on the recent technological breakthroughs and the gathering advancements toward possible Artificial General Intelligence (AGI). It
Timothy R. McIntosh   +4 more
semanticscholar   +1 more source

Financial inclusion and poverty: evidence from developing economies

International Journal of Social Economics, 2023
PurposeThis paper examines the impact of financial inclusion on poverty through access to mobile money in developing economies.Design/methodology/approachThe authors employ the principal component analysis to construct an index of financial inclusion ...
Eunice Stella Nyarko   +2 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy