Quantum computing for finance

D Herman, C Googin, X Liu, Y Sun, A Galda… - Nature Reviews …, 2023 - nature.com
Quantum computers are expected to surpass the computational capabilities of classical
computers and have a transformative impact on numerous industry sectors. We present a …

Recent advances in reinforcement learning in finance

B Hambly, R Xu, H Yang - Mathematical Finance, 2023 - Wiley Online Library
The rapid changes in the finance industry due to the increasing amount of data have
revolutionized the techniques on data processing and data analysis and brought new …

[BOOK][B] Machine learning in finance

MF Dixon, I Halperin, P Bilokon - 2020 - Springer
Machine learning in finance sits at the intersection of a number of emergent and established
disciplines including pattern recognition, financial econometrics, statistical computing …

Neural networks for option pricing and hedging: a literature review

J Ruf, W Wang - arXiv preprint arXiv:1911.05620, 2019 - arxiv.org
Neural networks have been used as a nonparametric method for option pricing and hedging
since the early 1990s. Far over a hundred papers have been published on this topic. This …

Deep hedging of derivatives using reinforcement learning

J Cao, J Chen, J Hull, Z Poulos - arXiv preprint arXiv:2103.16409, 2021 - arxiv.org
This paper shows how reinforcement learning can be used to derive optimal hedging
strategies for derivatives when there are transaction costs. The paper illustrates the …

Machine learning solutions to challenges in finance: An application to the pricing of financial products

L Gan, H Wang, Z Yang - Technological Forecasting and Social Change, 2020 - Elsevier
The recent fast development of machine learning provides new tools to solve challenges in
many areas. In finance, average options are popular financial products among corporations …

Regulatory technology (Reg-Tech) in financial stability supervision: Taxonomy, key methods, applications and future directions

X Chao, Q Ran, J Chen, T Li, Q Qian, D Ergu - International Review of …, 2022 - Elsevier
Financial regulation is the basic requirement for financial stability. Recently, regulatory
technology (Reg-Tech) has become one of the main research topics in financial stability …

[PDF][PDF] Dynamic replication and hedging: A reinforcement learning approach

PN Kolm, G Ritter - The Journal of Financial Data Science, 2019 - in.mathworks.com
◮ More recently, several studies have considered option pricing and hedging subject to both
permanent and temporary market impact in the spirit of Almgren and Chriss (1999) …

Deep learning calibration of option pricing models: some pitfalls and solutions

A Itkin - arXiv preprint arXiv:1906.03507, 2019 - arxiv.org
Recent progress in the field of artificial intelligence, machine learning and also in computer
industry resulted in the ongoing boom of using these techniques as applied to solving …

Model-free reinforcement learning for financial portfolios: a brief survey

Y Sato - arXiv preprint arXiv:1904.04973, 2019 - arxiv.org
Financial portfolio management is one of the problems that are most frequently encountered
in the investment industry. Nevertheless, it is not widely recognized that both Kelly Criterion …