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Machine Learning vs. Mathematical Finance: Opposition or Apposition? Thoughts Around Reconstructing Quantitative Finance a Decade after the Subprime Derivatives & Electronic Trading Flash Crashes In the Context of the Rise of Big Data & Data Science

SSRN Electronic Journal, 2018
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A class of mesh-free algorithms for mathematical finance, machine learning and fluid dynamics

, 2021
We introduce a numerical methodology that applies to a broad class of partial differential equations and discrete models, and is referred to here as the transport-based mesh-free method.
P. LeFloch, M. Jean-Marc
semanticscholar   +1 more source

Data-Driven Models & Mathematical Finance: Apposition or Opposition?

Social Science Research Network, 2019
The aftermath of the financial crisis of 2009 as well as the multiple Flash Crashes of the early 2010s resulted in social uproars in the general population and ethical malaises in the scientific community [15, 9, 11, 10] which triggered noticeable ...
Babak Mahdavi-Damghani
semanticscholar   +1 more source

Data-Driven Models & Mathematical Finance: Opposition or Apposition?

Social Science Research Network, 2019
The aftermath of the financial crisis of 2009 as well as the multiple Flash Crashes of the early 2010s resulted in social uproars in the general population and ethical malaises in the scientific community [15, 9, 11, 10] which triggered noticeable ...
Babak Mahdavi Damghani
semanticscholar   +1 more source

Mathematical Finance: A Very Short Introduction

, 2019
In recent years, the finance industry has mushroomed to become an important part of modern economies with many science and engineering graduates joining the industry as quantitative analysts, using mathematical and computational skills to solve complex ...
Mark H. A. Davis
semanticscholar   +1 more source

Quantitative Risk and Portfolio Management

, 2023
A comprehensive modern introduction to risk and portfolio management for quantitatively adept advanced undergraduate and beginning graduate students who will become practitioners in the field of quantitative finance.
Kenneth J. Winston
semanticscholar   +1 more source

Can quantitative finance benefit from IoT?

SmartIoT@SEC, 2017
The Internet of Things (IoT) is a novel paradigm that communicates information among smart devices that are connected to the Internet. In this context, such devices would leverage our understanding and capabilities of big data, deep analysis and ...
P. Zhang, Xiang Shi, S. Khan
semanticscholar   +1 more source

Theoretical Connotation and Quantitative Measurement of Common Prosperity

China Finance and Economic Review, 2022
It is of great importance to fully understand the connotation of and identify a quantitative method to measure common prosperity in China. This paper starts with a theoretical framework of fairness, efficiency, development, and shared prosperity, draws ...
Haiyuan Wan, Jiping Chen
semanticscholar   +1 more source

The Applications of Quantitative Finance in the Market

Advances in Economics, Management and Political Sciences
An investment decision has become an extensively complicated undertaking in the contemporary finance sphere, dotted by increased volatility, uncertainty, complexity, and ambiguity.
Zening He
semanticscholar   +1 more source

Modeling with fuzzy transforms — A new tool of data mining and quantitative finance

IEEE Conference on Computer Communications, 2017
The theory of fuzzy (F)-transforms relates to a modern mathematical modeling. It provides a (dimensionally) reduced and robust representation of original data.
I. Perfilieva
semanticscholar   +1 more source