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A First Course in Quantitative Finance

, 2018
This new and exciting book offers a fresh approach to quantitative finance and utilises novel features, including stereoscopic images which permit 3D visualisation of complex subjects without the need for additional tools. Offering an integrated approach
Thomas Mazzoni
semanticscholar   +1 more source

Mathematics of Quantitative Finance

2017
The workshop on Mathematics of Quantitative Finance, organised at the Mathematisches Forschungsinstitut Oberwolfach from 26 February to 4 March 2017, focused on cutting edge areas of mathematical finance, with an emphasis on the applicability of the new techniques and models presented by the participants.
openaire   +2 more sources

Theoretical Foundations for Quantitative Finance

, 2017
This book provides simple introduction to quantitative finance for students and junior quants who want to approach the typical industry problems with practical but rigorous ambition. It shows a simple link between theoretical technicalities and practical
L. Spadafora, G. Berman
semanticscholar   +1 more source

On a book 'Financial statistics and mathematical finance. Methods, models and applications.' by Ansgar Steland

, 2017
This book presents a careful and comprehensive introduction to some of the most important mathematical topics required for a thorough understanding of financial markets and the quantitative methods used to manage the assets there.
K. Szajowski
semanticscholar   +1 more source

Mathematical Modeling and Computation in Finance

, 2019
This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk ...
C. Oosterlee, L. Grzelak
semanticscholar   +1 more source

Mathematics for Economics and Finance: Mathematical models in economics

, 1996
Introduction In this book we use the language of mathematics to describe situations which occur in economics. The motivation for doing this is that mathematical arguments are logical and exact, and they enable us to work out in precise detail the ...
M. Anthony, N. Biggs
semanticscholar   +1 more source

Quantitative Analysis for Stocks and Cryptocurrencies using Python

2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT)
The complexity, intricacy and volatility of vast financial systems across the world make quantitative research of equities and cryptocurrencies a very challenging undertaking.
Akshat Sharma   +3 more
semanticscholar   +1 more source

Integrating computational finance, machine learning, and risk analytics for optimized financial planning and analysis strategies

World Journal of Advanced Research and Reviews
In today’s dynamic financial landscape, the integration of computational finance, machine learning, and risk analytics is revolutionizing financial planning and analysis (FP&A). Computational finance leverages mathematical modeling, numerical simulations,
Nosakhare Omoruyi
semanticscholar   +1 more source

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