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Financial engineering. --- Derivative securities. --- Options (Finance)

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This book presents a unifying approach to the valuation of incorporated flexibility. Flexibility, in general terms, recognizes future uncertainty and refers to being proactive now so as to secure the future possibility of being able to adapt, convert, or generally introduce a change, if it is worthwhile to do so at the time. That is, deliberate provision is made now in order to have the ability (but not the obligation) to adapt, convert, or change in the future; this change is discretionary, and depends on future circumstances. The applications demonstrated here cover engineering, building, housing, finance, economics, contracts, general management, and project management. The examples are as follows: designing/building features in infrastructure (including buildings and houses) such that the infrastructure can be adapted in response to future changes in climate, demographics, or usage; incorporating features in contracts such that the terms and conditions can be changed in response to changing situations; purchasing rights now such that options exist to buy or sell an asset in the future; structuring a financial investment agreement so that its terms and conditions can be changed in the future; structuring project payments to provide future guarantees of revenue if needed; and designing an operation such that it can be expanded, contracted, abandoned, switched, changed, delayed, or deferred in the future. The level of required mathematics is kept at a very modest level: an undergraduate knowledge of algebra and probability is all that is required. Numerical examples, accompanied by readily understandable diagrams, illustrate the methods outlined. The formulations are kept straightforward and accessible for practitioners and academics alike.

Business forecasting. --- Business --- Business forecasts --- Forecasting, Business --- Economic forecasting --- Forecasting --- Engineering economics. --- Engineering economy. --- Project management. --- Building—Superintendence. --- Construction industry—Management. --- Construction superintendence. --- Financial engineering. --- Engineering Economics, Organization, Logistics, Marketing. --- Project Management. --- Construction Management. --- Financial Engineering. --- Computational finance --- Engineering, Financial --- Finance --- Building superintendence --- Construction superintendence --- Construction superintending --- Construction industry --- Industrial project management --- Management --- Economy, Engineering --- Engineering economics --- Industrial engineering

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“In this highly informative book, the authors deploy rich empirical qualitative data from the financial industry to highlight the many hurdles that prevent public-private partnerships from realising their full potential, and offer insightful practical recommendations on how to remedy that situation.” —Benoît Dupont, Professor of Criminology, University of Montreal, Canada, and Canada Research Chair in Cybersecurity “Cybersecurity is an immensely complex field, and public-private partnerships in the financial sector are at the very core of this complexity. This book provides rich insights into these partnerships, their internal dynamics, and tensions, appealing to those specialising in cybersecurity, public-private partnerships, security networks, and security governance.” —Chad Whelan, Associate Professor in Criminology, Deakin University, Australia “This book offers a significant blueprint for would-be cybersecurity heroes in a business where there can be no ‘second place’ finishers!” —Brigadier General Stanley J. Osserman, Jr., US Air Force (Retired) Exploring the negative social impact of cyber-attacks, this book takes a closer look at the challenges faced by both the public and private sectors of the financial industry. It is widely known amongst senior executives in both sectors that cybercrime poses a real threat, however effective collaboration between individual financial institutions and the public sector into detecting, monitoring and responding to cyber-attacks remains limited. Addressing this problem, the authors present the results from a series of interviews with cybersecurity professionals based in Canada in order to better understand the potential risks and threats that financial institutions are facing in the digital age. Offering policy recommendations for improving cybersecurity protection measures within financial institutions, and enhancing the sharing of information between the public and private sector, this book is a timely and invaluable read for those researching financial services, cybercrime and risk management, as well as finance professionals interested in cybersecurity. Dr. Pierre-Luc Pomerleau is a financial crime executive with over 15 years of experience with three large Canadian financial institutions, and an adjunct professor in the Cybersecurity program at Polytechnique Montreal, Canada. Dr. David L. Lowery is a retired U.S. Air Force lieutenant colonel (cyberspace operations officer) and a three-time unit commander now serving as Professor of Homeland Security at Northcentral University, USA.

Risk management. --- Bank marketing. --- Computer crimes. --- Financial engineering. --- Finance, Public. --- Risk Management. --- Financial Services. --- Cybercrime. --- Financial Engineering. --- Public Finance. --- Cameralistics --- Public finance --- Public finances --- Currency question --- Computational finance --- Engineering, Financial --- Finance --- Computers and crime --- Cyber crimes --- Cybercrimes --- Electronic crimes (Computer crimes) --- Internet crimes --- Crime --- Privacy, Right of --- Banks and banking --- Marketing of bank services --- Marketing of banking services --- Marketing --- Insurance --- Management

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This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information. They are: (1) the investment decision-making method based on the asymmetric hesitant fuzzy sigmoid preference relations, (2) the investment decision-making method based on the hesitant fuzzy trade-off and portfolio selection, (3) the investment decision-making method based on the hesitant fuzzy preference envelopment analysis, (4) the investment decision-making method based on the hesitant fuzzy peer-evaluation and strategy fusion, and (5) the investment decision-making method based on the EHVaR measurement and tail analysis.

Engineering. --- Financial engineering. --- Operations research. --- Finance—Mathematics. --- Computational Intelligence. --- Financial Engineering. --- Operations Research/Decision Theory. --- Financial Mathematics. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Computational finance --- Engineering, Financial --- Finance --- Construction --- Industrial arts --- Technology --- Fuzzy decision making. --- Decision making --- Fuzzy mathematics --- Computational intelligence. --- Decision making. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Intelligence, Computational --- Artificial intelligence --- Soft computing

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With the exponential growth of program trading in the global financial industry, quantum finance and its underlying technologies have become one of the hottest topics in the fintech community. Numerous financial institutions and fund houses around the world require computer professionals with a basic understanding of quantum finance to develop intelligent financial systems. This book presents a selection of the author’s past 15 years’ R&D work and practical implementation of the Quantum Finance Forecast System – which integrates quantum field theory and related AI technologies to design and develop intelligent global financial forecast and quantum trading systems. The book consists of two parts: Part I discusses the basic concepts and theories of quantum finance and related AI technologies, including quantum field theory, quantum price fields, quantum price level modelling and quantum entanglement to predict major financial events. Part II then examines the current, ongoing R&D projects on the application of quantum finance technologies in intelligent real-time financial prediction and quantum trading systems. This book is both a textbook for undergraduate & masters level quantum finance, AI and fintech courses and a valuable resource for researchers and data scientists working in the field of quantum finance and intelligent financial systems. It is also of interest to professional traders/quants & independent investors who would like to grasp the basic concepts and theory of quantum finance, and more importantly how to adopt this fascinating technology to implement intelligent financial forecast and quantum trading systems. For system implementation, the interactive quantum finance programming labs listed on the Quantum Finance Forecast Centre official site (QFFC.org) enable readers to learn how to use quantum finance technologies presented in the book.

Artificial intelligence. --- Economics, Mathematical . --- Computational intelligence. --- Quantum field theory. --- String theory. --- Statistical physics. --- Application software. --- Artificial Intelligence. --- Quantitative Finance. --- Computational Intelligence. --- Quantum Field Theories, String Theory. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Computer Applications. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Physics --- Mathematical statistics --- Models, String --- String theory --- Nuclear reactions --- Relativistic quantum field theory --- Field theory (Physics) --- Quantum theory --- Relativity (Physics) --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Economics --- Mathematical economics --- Econometrics --- Mathematics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Statistical methods --- Methodology --- Financial engineering. --- Computational finance --- Engineering, Financial --- Finance