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Arad, Ron --- Klotz, Mathias --- Duque Motta, Rodrigo --- Ban, Shigeru --- Takamatsu, Shin --- Arima, Hiroyuki --- Maeda, Norisada --- Dellekamp, Derek --- Ten Arquitectos

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Monte Carlo method --- Risk management --- Monte-Carlo, Méthode de --- Gestion du risque --- Monte Carlo method. --- Risk assessment --- Mathematical models. --- AA / International- internationaal --- 305.970 --- 305.975 --- 305.6 --- 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. --- Monte Carlo methods. Experimenten en resultaten. --- Risicotheorie, speltheorie. Risicokapitaal. Beslissingsmodellen. --- Monte-Carlo, Méthode de --- Risk --- Risque --- Mathematical models --- Modèles mathématiques. --- 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 --- Monte Carlo methods. Experimenten en resultaten --- Risicotheorie, speltheorie. Risicokapitaal. Beslissingsmodellen --- Risk assessment - Mathematical models. --- Modèles mathématiques.

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This book offers a complete, succinct account of the principles of financial derivatives pricing. The first chapter provides readers with an intuitive exposition of basic random calculus. Concepts such as volatility and time, random walks, geometric Brownian motion, and Ito's lemma are discussed heuristically. The second chapter develops generic pricing techniques for assets and derivatives, determining the notion of a stochastic discount factor or pricing kernel, and then uses this concept to price conventional and exotic derivatives. The third chapter applies the pricing concepts to the special case of interest rate markets, namely, bonds and swaps, and discusses factor models and term structure consistent models. The fourth chapter deals with a variety of mathematical topics that underlie derivatives pricing and portfolio allocation decisions such as mean-reverting processes and jump processes and discusses related tools of stochastic calculus such as Kolmogorov equations, martingale techniques, stochastic control, and partial differential equations.

AA / International- internationaal --- 305.970 --- 333.451.3 --- 333.605 --- 333.647 --- 305.6 --- Derivative securities --- 332.632 --- Derivative financial instruments --- Derivative financial products --- Derivative instruments --- Derivatives (Finance) --- Financial derivatives --- Securities --- Structured notes (Securities) --- 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. --- Deviezenarbitrage. --- Nieuwe financiële instrumenten. --- Optiemarkt. --- Risicotheorie, speltheorie. Risicokapitaal. Beslissingsmodellen. --- Derivative securities. --- Risicotheorie, speltheorie. Risicokapitaal. Beslissingsmodellen --- 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 --- Deviezenarbitrage --- Nieuwe financiële instrumenten --- Optiemarkt --- Instruments financiers --- Business, Economy and Management --- Economics --- Marché à terme --- Option --- Economie financiere --- Produits derives

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Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods to evaluate option contracts, to analyse financial time series, to select portfolios and manage risks making realistic assumptions of the market behaviour. The focus is both on fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, making the book the ideal basis for lectures, seminars and crash courses on the topic. For the second edition the book has been updated and extensively revised. Several new aspects have been included, among others a chapter on credit risk management. From the reviews of the first edition: "The book starts … with five eye-catching pages that reproduce a student’s handwritten notes for the examination that is based on this book. … The material is well presented with a good balance between theoretical and applied aspects. … The book is an excellent demonstration of the power of stochastics … . The author’s goal is well achieved: this book can satisfy the needs of different groups of readers … . " (Jordan Stoyanov, Journal of the Royal Statistical Society, Vol. 168 (4), 2005).

Private finance --- Mathematical statistics --- AA / International- internationaal --- 305.970 --- 306.4 --- 305.91 --- 305.7 --- 333.605 --- 303.5 --- 339.42 --- Finance --- -Finance --- -332.0151 --- 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. --- Correlatie, regressie (toegepaste statistiek). --- Econometrie van de financiële activa. Portfolio allocation en management. CAPM. Bubbles. --- Econometrie van het gedrag van de financiële tussenpersonen. Monetaire econometrische modellen. Monetaire agregaten. vraag voor geld. Krediet. Rente. --- Nieuwe financiële instrumenten. --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek). --- Financiële analyse. --- Statistical methods --- Mathematical models --- Mathematical models. --- Statistical methods. --- 332.0151 --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- 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 --- 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 --- Correlatie, regressie (toegepaste statistiek) --- Nieuwe financiële instrumenten --- Financiële analyse --- Econometrics. --- Statistics . --- Economics, Mathematical . --- Finance. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Quantitative Finance. --- Finance, general. --- Mathematical economics --- Econometrics --- Mathematics --- Statistical analysis --- Statistical data --- Statistical science --- Economics, Mathematical --- Statistics --- Methodology --- Finances

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Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stchastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes. This book is being published in two volumes. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume. Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance. Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful. Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.

-332.0151922 --- 519.86 --- 336.7 --- AA / International- internationaal --- 305.970 --- 305.91 --- 305.7 --- 336.7 Geldwezen. Kredietwezen. Bankwezen. Financien. Monetaire econonomie. Beurswezen --- Geldwezen. Kredietwezen. Bankwezen. Financien. Monetaire econonomie. Beurswezen --- 519.86 Theory of economic-mathematical models --- Theory of economic-mathematical models --- 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. --- Econometrie van de financiële activa. Portfolio allocation en management. CAPM. Bubbles. --- Econometrie van het gedrag van de financiële tussenpersonen. Monetaire econometrische modellen. Monetaire agregaten. vraag voor geld. Krediet. Rente. --- Stochastic processes --- Finance --- Stochastic analysis --- Analysis, Stochastic --- Mathematical analysis --- Funding --- Funds --- Economics --- Currency question --- Mathematical models --- 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 --- 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 --- Finances --- Analyse stochastique --- Textbooks --- Modèles mathématiques --- Manuels --- Textbooks. --- Economics, Mathematical . --- Applied mathematics. --- Engineering mathematics. --- Finance. --- Probabilities. --- Quantitative Finance. --- Applications of Mathematics. --- Finance, general. --- Probability Theory and Stochastic Processes. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Engineering --- Engineering analysis --- Mathematical economics --- Econometrics --- Methodology --- Finance - Mathematical models - Textbooks --- Stochastic analysis - Textbooks --- Mathématique appliquée --- Probabilités --- Théorie financière