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Insurance --- Actuarial mathematics --- Business mathematics. --- Finance. --- Mathematics --- Business mathematics --- Finance --- -KBC0209-IVB --- 01.03 --- 10.03.b --- Assurance (Insurance) --- Coverage, Insurance --- Indemnity insurance --- Insurance coverage --- Insurance industry --- Insurance protection --- Mutual insurance --- Underwriting --- Funding --- Funds --- Economics --- Currency question --- Arithmetic, Commercial --- Business --- Business arithmetic --- Business math --- Commercial arithmetic --- Verzekeringswezen ; Geschiedenis --- Actuariaat ; Financiële verrichtingen --- KBC0209-IVB --- Actuarial science --- Insurance - Mathematics

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Mathematics --- Business mathematics --- Economics, Mathematical --- Problems, exercises, etc. --- -Economics, Mathematical --- -Economics --- Mathematical economics --- Econometrics --- Economics --- Arithmetic, Commercial --- Business --- Business arithmetic --- Business math --- Commercial arithmetic --- Finance --- Problems, exercises, etc --- Methodology --- Business mathematics. --- Economics, Mathematical. --- -Problems, exercises, etc --- Business mathematics - Problems, exercises, etc. --- Economics, Mathematical - Problems, exercises, etc.

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This book is a collection of exercises covering all the main topics in the modern theory of stochastic processes and its applications, including finance, actuarial mathematics, queuing theory, and risk theory. The aim of this book is to provide the reader with the theoretical and practical material necessary for deeper understanding of the main topics in the theory of stochastic processes and its related fields. The book is divided into chapters according to the various topics. Each chapter contains problems, hints, solutions, as well as a self-contained theoretical part which gives all the necessary material for solving the problems. References to the literature are also given. The exercises have various levels of complexity and vary from simple ones, useful for students studying basic notions and technique, to very advanced ones that reveal some important theoretical facts and constructions. This book is one of the largest collections of problems in the theory of stochastic processes and its applications. The problems in this book can be useful for undergraduate and graduate students, as well as for specialists in the theory of stochastic processes.

Stochastic processes --- Business mathematics --- Risk --- Mathematics --- 519.21 --- 332.0151923 --- Economics --- Uncertainty --- Probabilities --- Profit --- Risk-return relationships --- Arithmetic, Commercial --- Business --- Business arithmetic --- Business math --- Commercial arithmetic --- Finance --- Random processes --- Probability theory. Stochastic processes --- 519.21 Probability theory. Stochastic processes --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B

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Business mathematics --- Mathematical analysis --- Economics, Mathematical --- 330.105 --- 517 --- Advanced calculus --- Analysis (Mathematics) --- Algebra --- Economics --- Mathematical economics --- Econometrics --- Mathematics --- Arithmetic, Commercial --- Business --- Business arithmetic --- Business math --- Commercial arithmetic --- Finance --- Wiskundige economie. Wiskundige methoden in de economie --- Analysis --- Methodology --- 517 Analysis --- 517.1 Mathematical analysis --- 330.105 Wiskundige economie. Wiskundige methoden in de economie --- 517.1. --- Matrices --- 517.1 --- Analyse mathématique --- Mathématiques

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This textbook invites the reader to develop a holistic grounding in mathematical finance, where concepts and intuition play as important a role as powerful mathematical tools. Financial interactions are characterized by a vast amount of data and uncertainty; navigating the inherent dangers and hidden opportunities requires a keen understanding of what techniques to apply and when. By exploring the conceptual foundations of options pricing, the author equips readers to choose their tools with a critical eye and adapt to emerging challenges. Introducing the basics of gambles through realistic scenarios, the text goes on to build the core financial techniques of Puts, Calls, hedging, and arbitrage. Chapters on modeling and probability lead into the centerpiece: the Black–Scholes equation. Omitting the mechanics of solving Black–Scholes itself, the presentation instead focuses on an in-depth analysis of its derivation and solutions. Advanced topics that follow include the Greeks, American options, and embellishments. Throughout, the author presents topics in an engaging conversational style. “Intuition breaks” frequently prompt students to set aside mathematical details and think critically about the relevance of tools in context. Mathematics of Finance is ideal for undergraduates from a variety of backgrounds, including mathematics, economics, statistics, data science, and computer science. Students should have experience with the standard calculus sequence, as well as a familiarity with differential equations and probability. No financial expertise is assumed of student or instructor; in fact, the text’s deep connection to mathematical ideas makes it suitable for a math capstone course. A complete set of the author’s lecture videos is available on YouTube, providing a comprehensive supplementary resource for a course or independent study.

Finance. --- Mathematics. --- Macroeconomics. --- Quantitative Finance. --- Game Theory, Economics, Social and Behav. Sciences. --- Finance, general. --- Macroeconomics/Monetary Economics//Financial Economics. --- Economics --- Math --- Science --- Funding --- Funds --- Currency question --- Business mathematics. --- Arithmetic, Commercial --- Business --- Business arithmetic --- Business math --- Commercial arithmetic --- Finance --- Mathematics --- Economics, Mathematical . --- Game theory. --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematical economics --- Econometrics --- Methodology