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Options (Finance) --- Stocks --- Options (Finances) --- Actions (Titres de société) --- Prices --- Mathematical models --- Prix --- Modèles mathématiques --- -Stocks --- -332.632220151922 --- Common shares --- Common stocks --- Equities --- Equity capital --- Equity financing --- Shares of stock --- Stock issues --- Stock offerings --- Stock trading --- Trading, Stock --- Securities --- Bonds --- Corporations --- Going public (Securities) --- Stock repurchasing --- Stockholders --- Call options --- Calls (Finance) --- Listed options --- Options exchange --- Options market --- Options trading --- Put and call transactions --- Put options --- Puts (Finance) --- Derivative securities --- Investments --- -Mathematical models --- Actions (Titres de société) --- Modèles mathématiques --- Srocks --- Mathematical models. --- Options (finances) --- Modèles mathématiques. --- Modèles mathématiques.
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Topics covered in this volume (large deviations, differential geometry, asymptotic expansions, central limit theorems) give a full picture of the current advances in the application of asymptotic methods in mathematical finance, and thereby provide rigorous solutions to important mathematical and financial issues, such as implied volatility asymptotics, local volatility extrapolation, systemic risk and volatility estimation. This volume gathers together ground-breaking results in this field by some of its leading experts. Over the past decade, asymptotic methods have played an increasingly important role in the study of the behaviour of (financial) models. These methods provide a useful alternative to numerical methods in settings where the latter may lose accuracy (in extremes such as small and large strikes, and small maturities), and lead to a clearer understanding of the behaviour of models, and of the influence of parameters on this behaviour. Graduate students, researchers and practitioners will find this book very useful, and the diversity of topics will appeal to people from mathematical finance, probability theory and differential geometry.
Mathematics. --- Quantitative Finance. --- Probability Theory and Stochastic Processes. --- Approximations and Expansions. --- Differential Geometry. --- Finance. --- Global differential geometry. --- Distribution (Probability theory). --- Mathématiques --- Finances --- Géométrie différentielle globale --- Distribution (Théorie des probabilités) --- Economics. --- Finance -- Mathematical models. --- Finance -- Statistical methods. --- Business & Economics --- Economic Theory --- Finance --- Mathematical models. --- Statistical methods. --- Economic theory --- Political economy --- Approximation theory. --- Economics, Mathematical. --- Differential geometry. --- Probabilities. --- Social sciences --- Economic man --- Distribution (Probability theory. --- Funding --- Funds --- Economics --- Currency question --- Geometry, Differential --- Math --- Science --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Economics, Mathematical . --- Differential geometry --- Theory of approximation --- Functional analysis --- Functions --- Polynomials --- Chebyshev systems --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Mathematical economics --- Econometrics --- Methodology
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Topics covered in this volume (large deviations, differential geometry, asymptotic expansions, central limit theorems) give a full picture of the current advances in the application of asymptotic methods in mathematical finance, and thereby provide rigorous solutions to important mathematical and financial issues, such as implied volatility asymptotics, local volatility extrapolation, systemic risk and volatility estimation. This volume gathers together ground-breaking results in this field by some of its leading experts. Over the past decade, asymptotic methods have played an increasingly important role in the study of the behaviour of (financial) models. These methods provide a useful alternative to numerical methods in settings where the latter may lose accuracy (in extremes such as small and large strikes, and small maturities), and lead to a clearer understanding of the behaviour of models, and of the influence of parameters on this behaviour. Graduate students, researchers and practitioners will find this book very useful, and the diversity of topics will appeal to people from mathematical finance, probability theory and differential geometry.
Finance --- Economics --- Differential geometry. Global analysis --- Functional analysis --- Numerical approximation theory --- Operational research. Game theory --- Probability theory --- Mathematics --- Computer science --- kennis --- differentiaal geometrie --- waarschijnlijkheidstheorie --- stochastische analyse --- informatica --- financiën --- wiskunde --- kansrekening
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