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Stochastic processes --- Quantitative methods (economics) --- 330.105 --- 336.7 --- Finance --- -332.015195 --- Funding --- Funds --- Economics --- Currency question --- Wiskundige economie. Wiskundige methoden in de economie --- Geldwezen. Kredietwezen. Bankwezen. Financien. Monetaire econonomie. Beurswezen --- Mathematical models --- 336.7 Geldwezen. Kredietwezen. Bankwezen. Financien. Monetaire econonomie. Beurswezen --- 330.105 Wiskundige economie. Wiskundige methoden in de economie --- 332.015195 --- Finances
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"This text offers an accessible yet rigorous development of many of the fields of mathematics necessary for success in investment and quantitative finance, covering topics applicable to portfolio theory, investment banking, option pricing, investment, and insurance risk management. The approach emphasizes the mathematical framework provided by each mathematical discipline, and the application of each framework to the solution of finance problems. It emphasizes the thought process and mathematical approach taken to develop each result instead of the memorization of formulas to be applied (or misapplied) automatically. The objective is to provide a deep level of understanding of the relevant mathematical theory and tools that can then be effectively used in practice, to teach students how to "think in mathematics" rather than simply to do mathematics by rote." "Each chapter covers an area of mathematics such as mathematical logic, Euclidean and other spaces, set theory and topology, sequences and series, probability theory, and calculus, in each case presenting only material that is most important and relevant for quantitative finance. Each chapter includes finance applications that demonstrate the relevance of the material presented. Problem sets are offered on both the mathematical theory and the finance applications sections of each chapter. The logical organization of the book and the judicious selection of topics make the text customizable for a number of courses. The development is self-contained and carefully explained to support disciplined independent study as well. A solutions manual for students provides solutions to the book's Practice Exercises; an instructor's manual offers solutions to the Assignment Exercises as well as other materials."--BOOK JACKET.
Finance --- Quantitative methods (economics) --- Mathematical models --- AA / International- internationaal --- 305.91 --- -332.015195 --- Funding --- Funds --- Economics --- Currency question --- Econometrie van de financiële activa. Portfolio allocation en management. CAPM. Bubbles. --- 332.015195 --- Econometrie van de financiële activa. Portfolio allocation en management. CAPM. Bubbles --- Finance - Mathematical models
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Capital structure --- Quantitative methods (economics) --- Finance --- -Econometrics --- -econometrie --- Economics, Mathematical --- Statistics --- Funding --- Funds --- Economics --- Currency question --- Mathematical models --- -Electronic information resources --- Electronic information resources --- Econometrie. --- -332.015195 --- E-books --- Econometrics --- econometrie
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Finance --- Investments --- 332.015195 --- 336.7 --- 519.2 --- 336.7 Geldwezen. Kredietwezen. Bankwezen. Financien. Monetaire econonomie. Beurswezen --- Geldwezen. Kredietwezen. Bankwezen. Financien. Monetaire econonomie. Beurswezen --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Mathematical models --- Investment management
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Finances --- Investissements --- Modèles mathématiques --- AA / International- internationaal --- 305.970 --- Finance --- -Investments --- -332.015195 --- Investing --- Investment management --- Portfolio --- Disinvestment --- Loans --- Saving and investment --- Speculation --- Funding --- Funds --- Economics --- Currency question --- Algemeenheden: Autoregression and moving average representation. ARIMA. ARMAX. Lagrange multiplier. Wald. Function (mis) specification. Autocorrelation. Homoscedasticity. Heteroscedasticity. ARCH. GARCH. Integration and co-integration. Unit roots. --- Mathematical models --- Mathematical statistics --- Modèles mathématiques. --- Investments --- 332.015195 --- Algemeenheden: Autoregression and moving average representation. ARIMA. ARMAX. Lagrange multiplier. Wald. Function (mis) specification. Autocorrelation. Homoscedasticity. Heteroscedasticity. ARCH. GARCH. Integration and co-integration. Unit roots
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Financial economics is a fascinating topic where ideas from economics, mathematics and, most recently, psychology are combined to understand financial markets. This book gives a concise introduction into this field and includes for the first time recent results from behavioral finance that help to understand many puzzles in traditional finance. The book is tailor made for master and PhD students and includes tests and exercises that enable the students to keep track of their progress. Parts of the book can also be used on a bachelor level. Researchers will find it particularly useful as a source for recent results in behavioral finance and decision theory. "By mixing rigour and humour, Hens and Rieger make learning financial economics fun. The book is nicely organized into three logical parts. Most importantly, the discussion features a smooth transition from the classical approach to the behavioural approach, helping students fill in the metaphorical jig saw puzzle representing the corpus of finance theory." Hersh Shefrin, finance professor at the Santa Clara University, USA, and author of "Beyond Greed and Fear" and "A Behavioral Approach to Asset Pricing Theory This textbook provides a modern treatment of the theory of financial economics. It stands out by fully integrating the classical and the behavioral approach in a lucent, yet rigorous way. I highly recommend it! Markus K. Brunnermeier, Princeton University Behavioral economics, decision theory and the equilibrium analysis of financial markets have largely evolved as separate parts of the landscape of modern economics: in this ambitious book the authors present a common framework for uniting these separate subfields. Financial Economics by Hens and Rieger is a delight to read, striking for its clarity, for the breadth of topics covered and for the wealth of well-chosen examples that illustrate the key ideas. Michael Magill Martine Quinzii University of Southern California University of California, Davis
Money market. Capital market --- Finance --- Mathematical models --- 332.015195 --- 305.7 --- 305.91 --- 333.0 --- AA / International- internationaal --- Funding --- Funds --- Economics --- Currency question --- Econometrie van het gedrag van de financiële tussenpersonen. Monetaire econometrische modellen. Monetaire agregaten. vraag voor geld. Krediet. Rente --- Econometrie van de financiële activa. Portfolio allocation en management. CAPM. Bubbles --- Financiële economie: algemene werken en handboeken --- Finance - Mathematical models
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Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration. The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus. Some exposure to finance is helpful. David Ruppert is Andrew Schultz, Jr., Professor of Engineering and Professor of Statistical Science, School of Operations Research and Information Engineering, Cornell University, where he teaches statistics and financial engineering and is a member of the Program in Financial Engineering. His research areas include asymptotic theory, semiparametric regression, functional data analysis, biostatistics, model calibration, measurement error, and astrostatistics. Professor Ruppert received his PhD in Statistics at Michigan State University. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics and won the Wilcoxon prize. He is Editor of the Electronic Journal of Statistics, former Editor of the Institute of Mathematical Statistics's Lecture Notes--Monographs Series, and former Associate Editor of several major statistics journals. Professor Ruppert has published over 100 scientific papers and four books: Transformation and Weighting in Regression, Measurement Error in Nonlinear Models, Semiparametric Regression, and Statistics and Finance: An Introduction.
statistiek --- Business economics --- econometrie --- Mathematical statistics --- Finance --- Financial engineering --- 332.015195 --- 519.2 --- Computational finance --- Engineering, Financial --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Statistical methods --- Statistics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Statistical methods. --- Statistics .
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Finance --- Economics --- Capital assets pricing model --- Modèle de fixation du prix des actifs --- Finances --- Économie politique --- Capital assets pricing model. --- Economics. --- Finance. --- 332.015195 --- Capital asset pricing model --- CAPM (Capital assets pricing model) --- Pricing model, Capital assets --- Capital --- Investments --- Economic theory --- Political economy --- Social sciences --- Economic man --- Funding --- Funds --- Currency question --- Mathematical models
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Finance --- Stochastic processes. --- Time-series analysis. --- Econometric models. --- Stochastic processes --- Time-series analysis --- 305.0 --- AA / International- internationaal --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Random processes --- Econometric models --- Toegepaste econometrie en statistiek (algemene naslagwerken). Statistische onderzoekingen en studiën --- 332.015195
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Capital market --- Economics, Mathematical --- Economists --- Finance --- 332.015195 --- 330.40 --- AA / International- internationaal --- Funding --- Funds --- Economics --- Currency question --- Social scientists --- Mathematical economics --- Econometrics --- Mathematics --- Capital markets --- Market, Capital --- Financial institutions --- Loans --- Money market --- Securities --- Crowding out (Economics) --- Efficient market theory --- Statistical methods --- History --- Geschiedenis van het economisch en sociaal denken --- Methodology --- Economic schools
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