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Accounting. --- Financial mathematics.

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This is the proceedings of the "8th IMACS Seminar on Monte Carlo Methods" held from August 29 to September 2, 2011 in Borovets, Bulgaria, and organized by the Institute of Information and Communication Technologies of the Bulgarian Academy of Sciences in cooperation with the International Association for Mathematics and Computers in Simulation (IMACS). Included are 24 papers which cover all topics presented in the sessions of the seminar: stochastic computation and complexity of high dimensional problems, sensitivity analysis, high-performance computations for Monte Carlo applications, stochastic metaheuristics for optimization problems, sequential Monte Carlo methods for large-scale problems, semiconductor devices and nanostructures. The history of the IMACS Seminar on Monte Carlo Methods goes back to April 1997 when the first MCM Seminar was organized in Brussels: 1st IMACS Seminar, 1997, Brussels, Belgium2nd IMACS Seminar, 1999, Varna, Bulgaria 3rd IMACS Seminar, 2001, Salzburg, Austria 4th IMACS Seminar, 2003, Berlin, Germany 5th IMACS Seminar, 2005, Tallahassee, USA6th IMACS Seminar, 2007, Reading, UK7th IMACS Seminar, 2009, Brussels, Belgium8th IMACS Seminar, 2011, Borovets, Bulgaria

Monte Carlo method --- Mathematics --- Math --- Science --- Monte Carlo Method, Stochastic Model, Financial Mathematics.

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Mathematik ist ein wichtiger methodischer Bestandteil im wirtschaftswissenschaftlichen Studium an Universitäten, Hochschulen sowie Berufsakademien. Schließlich stellt die Mathematik Modelle zur Beschreibung wirtschaftswissenschaftlicher Erscheinungen bereit, so dass komplexe Zusammenhänge übersichtlich dargestellt werden können. Es geht bei der Mathematik im Studium der Wirtschaftswissenschaften also nicht um das Betreiben reiner Mathematik oder um das Führen mathematischer Beweise, sondern es geht ausschließlich um deren Anwendung in den Wirtschaftswissenschaften zur Beschreibung ökonomischer Probleme und zur Beantwortung ökonomischer Fragestellungen. Darum geht es in diesem Buch. Es werden zur Hinführung an die Mathematik im Studium der Wirtschaftswissenschaften die Grundlagen der Schulmathematik resümiert, die als Inhalte in Brückenkursen zu Beginn des Studiums besprochen werden können. Ferner werden in mehreren Abschnitten mathematische Inhalte thematisiert, die verdeutlichen, wie die Mathematik bei wirtschaftswissenschaftlichen Frage- und Problemstellungen gezielt eingesetzt werden kann. Diese Abschnitte können in Vorlesungen, Übungen und Tutorien in einem ersten Semester vermittelt werden. Des Weiteren wird anhand von Musterklausuren aufgezeigt, wie das Fach Mathematik im Studium der Wirtschaftswissenschaften mit einer Prüfung abgeschlossen werden kann. This book intends to impart students with the basic mathematical principles required for the economic sciences. The selected mathematical principles contained in this book provide a basis for the further successful study of business science as well as economics.

Finanzmathematik. --- Folgen und Reihen. --- Input-Output-Analyse. --- Lagrange functions. --- Lagrange-Funktionen. --- Sequences and series. --- Vektoren und Matrizen. --- financial mathematics. --- input-output analysis. --- vectors and matrices.

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In this textbook the authors introduce the important concepts of the financial software domain, and motivate the use of an agile software engineering approach for the development of financial software. They describe the role of software in defining financial models and in computing results from these models. Practical examples from bond pricing, yield curve estimation, share price analysis and valuation of derivative securities are given to illustrate the process of financial software engineering. Financial Software Engineering also includes a number of case studies based on typical financial engineering problems: * Internal rate of return calculation for bonds * Macaulay duration calculation for bonds * Bootstrapping of interest rates * Estimation of share price volatility * Technical analysis of share prices * Re-engineering Matlab to C# * Yield curve estimation * Derivative security pricing * Risk analysis of CDOs The book is suitable for undergraduate and postgraduate study, and for practitioners who wish to extend their knowledge of software engineering techniques for financial applications.

Software engineering. --- Financial engineering. --- Finance—Mathematics. --- Software Engineering. --- Financial Engineering. --- Financial Mathematics. --- Finance --- Mathematics. --- Computational finance --- Engineering, Financial --- Computer software engineering --- Engineering --- Arithmetic, Commercial --- Business --- Business arithmetic --- Business math --- Commercial arithmetic --- Mathematics --- Computer software --- Development. --- Development of computer software --- Software development --- Social sciences --- Mathematics in Business, Economics and Finance.

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This book presents the Proceedings of the 54th Winter School of Theoretical Physics on Simplicity of Complexity in Economic and Social Systems, held in Lądek Zdrój, Poland, from 18 to 24 February 2018. The purpose of the book is to introduce the new interdisciplinary research that links statistical physics, and particular attention is given to link physics of complex systems, with financial analysis and sociology. The main tools used in these areas are numerical simulation of agents behavior and the interpretation of results with the help of complexity methods, therefore a background in statistical physics and in physics of phase transition is necessary to take the first steps towards these research fields called econophysics and sociophysics. In this perspective, the book is intended to graduated students and young researchers who want to begin the study of this established new area, which connects physicists, economists, sociologists and IT professionals, to better understand complexity phenomena existing not only in physics but also in complex systems being seemingly far from traditional view at physics.

Statistical physics. --- Computational complexity. --- Finance—Mathematics. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Statistical Physics and Dynamical Systems. --- Complexity. --- Financial Mathematics. --- Complexity, Computational --- Electronic data processing --- Machine theory --- Physics --- Mathematical statistics --- Statistical methods --- Econophysics --- Computational complexity --- Statistical physics --- Sociophysics --- System analysis --- Mathematical sociology --- Economics