,Contemporary Issues
in Quantitative Finance
Contemporary quantitative finance connects the abstract theory and the practical use of
financial innovations, such as ultra-high-frequency trading and cryptocurrencies. It teaches
students how to use cutting-edge computational techniques, mathematical tools, and
statistical methodologies, with a focus on real-life applications.
The textbook opens with chapters on financial markets, global finance, and financial
crises, setting the subject in its historical and international context. It then examines key
topics in modern quantitative finance, including asset pricing, exchange-traded funds,
Monte Carlo simulations, options, alternative investments, artificial intelligence, and
big data analytics in finance. Complex theory is condensed to intuition, with appendices
presenting advanced mathematical or statistical techniques. Each chapter offers Excel-based
implementations, conceptual questions, quantitative problems, and a research project, giving
students ample opportunity to develop their skills. Clear chapter objectives, summaries, and
key terms also support student learning.
Digital supplements, including code and PowerPoint slides, are available for instructors.
Assuming some prior financial education, this textbook is suited to upper-level undergraduate
and postgraduate courses in quantitative finance, financial engineering, and derivatives.
Ahmet Can Inci is Professor of Finance at Bryant University in Rhode Island, U.S.A. He
received his Ph.D. from the University of Michigan, Ann Arbor, in 2001. He holds an M.B.A.
from Ohio State University, an M.Sc. in control systems from Imperial College – University
of London, and a B.Sc. in electrical and electronics engineering from Bogazici University
in Istanbul. Professor Inci’s research interests include exchange rate dynamics, corporate
governance, emerging markets, oil and energy, futures, contagion and flight to quality, the gender
gap at the workplace, insider trading, intraday volatility, and market efficiency. He teaches
innovations in finance, international finance and business, investments, corporate finance,
foundations of financial theory, financial analytics, and financial engineering. He is a C.A.I.A.
member, A.A.S.C.B. program consultant/reviewer, and editorial board member of numerous
academic journals.
,Routledge Advanced Texts in Economics and Finance
33 Applied Spatial Statistics and Econometrics
Data Analysis in R
Edited by Katarzyna Kopczewska
34 Spatial Microeconometrics
Giuseppe Arbia, Giuseppe Espa and Diego Giuliani
35 Financial Risk Management and Derivative Instruments
Michael Dempsey
36 The Essentials of Machine Learning in Finance and Accounting
Edited by Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek
and Mohammed Mohi Uddin
37 Financial Economics and Econometrics
Nikiforos T. Laopodis
38 Applied Welfare Economics, Second Edition
Cost-Benefit Analysis of Projects and Policies
Massimo Florio and Chiara Pancotti
39 An Introduction to Economic Dynamics
Modelling, Analysis and Simulation
Srinivas Raghavendra and Petri T. Piiroinen
40 Contemporary Issues in Quantitative Finance
Ahmet Can Inci
For more information about this series, please visit: www.routledge.com/Routledge-Advanced-
Texts-in-Economics-and-Finance/book-series/SE0757
, Contemporary Issues in
Quantitative Finance
Ahmet Can Inci
in Quantitative Finance
Contemporary quantitative finance connects the abstract theory and the practical use of
financial innovations, such as ultra-high-frequency trading and cryptocurrencies. It teaches
students how to use cutting-edge computational techniques, mathematical tools, and
statistical methodologies, with a focus on real-life applications.
The textbook opens with chapters on financial markets, global finance, and financial
crises, setting the subject in its historical and international context. It then examines key
topics in modern quantitative finance, including asset pricing, exchange-traded funds,
Monte Carlo simulations, options, alternative investments, artificial intelligence, and
big data analytics in finance. Complex theory is condensed to intuition, with appendices
presenting advanced mathematical or statistical techniques. Each chapter offers Excel-based
implementations, conceptual questions, quantitative problems, and a research project, giving
students ample opportunity to develop their skills. Clear chapter objectives, summaries, and
key terms also support student learning.
Digital supplements, including code and PowerPoint slides, are available for instructors.
Assuming some prior financial education, this textbook is suited to upper-level undergraduate
and postgraduate courses in quantitative finance, financial engineering, and derivatives.
Ahmet Can Inci is Professor of Finance at Bryant University in Rhode Island, U.S.A. He
received his Ph.D. from the University of Michigan, Ann Arbor, in 2001. He holds an M.B.A.
from Ohio State University, an M.Sc. in control systems from Imperial College – University
of London, and a B.Sc. in electrical and electronics engineering from Bogazici University
in Istanbul. Professor Inci’s research interests include exchange rate dynamics, corporate
governance, emerging markets, oil and energy, futures, contagion and flight to quality, the gender
gap at the workplace, insider trading, intraday volatility, and market efficiency. He teaches
innovations in finance, international finance and business, investments, corporate finance,
foundations of financial theory, financial analytics, and financial engineering. He is a C.A.I.A.
member, A.A.S.C.B. program consultant/reviewer, and editorial board member of numerous
academic journals.
,Routledge Advanced Texts in Economics and Finance
33 Applied Spatial Statistics and Econometrics
Data Analysis in R
Edited by Katarzyna Kopczewska
34 Spatial Microeconometrics
Giuseppe Arbia, Giuseppe Espa and Diego Giuliani
35 Financial Risk Management and Derivative Instruments
Michael Dempsey
36 The Essentials of Machine Learning in Finance and Accounting
Edited by Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek
and Mohammed Mohi Uddin
37 Financial Economics and Econometrics
Nikiforos T. Laopodis
38 Applied Welfare Economics, Second Edition
Cost-Benefit Analysis of Projects and Policies
Massimo Florio and Chiara Pancotti
39 An Introduction to Economic Dynamics
Modelling, Analysis and Simulation
Srinivas Raghavendra and Petri T. Piiroinen
40 Contemporary Issues in Quantitative Finance
Ahmet Can Inci
For more information about this series, please visit: www.routledge.com/Routledge-Advanced-
Texts-in-Economics-and-Finance/book-series/SE0757
, Contemporary Issues in
Quantitative Finance
Ahmet Can Inci
