Finance - Mathematical models.
概要
| 作品: | 214 作品在 102 項出版品 102 種語言 | |
|---|---|---|
書目資訊
Quantitative methods in derivatives pricing :an introduction to computational finance /
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An introduction to wavelets and other filtering methods in finance and economics /
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The founders of modern finance :their prize-winning concepts and 1990 Nobel lectures.
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Quality money managementprocess engineering and best practices for systematic trading and investment /
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Complex and chaotic nonlinear dynamicsadvances in economics and finance, mathematics and statistics /
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Pricing, risk, and performance measurement in practicethe building block approach to modeling instruments and portfolios /
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Probability and statistical modelsfoundations for problems in reliability and financial mathematics /
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Financial econometrics modelingmarket microstructure, factor models and financial risk measures /
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Modeling and pricing of swaps for financial and energy markets with stochastic volatilities
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Recent developments in computational financefoundations, algorithms and applications /
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Handbook in Monte Carlo simulation :applications in financial engineering, risk management, and economics /
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Multivariate nonparametric regression and visualization :with R and applications to finance /
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Bayesian risk managementa guide to model risk and sequential learning in financial markets /
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Counterparty credit risk, collateral and fundingwith pricing cases for all asset classes /
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Handbook in Monte Carlo simulationapplications in financial engineering, risk management, and economics /
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The mathematics of financial modelssolving real-world problems with quantitative methods /
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Dynamic modeling, empirical macroeconomics, and financeessays in honor of Willi Semmler /
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Advanced simulation-based methods for optimal stopping and controlwith applications in finance /
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Partial least squares structural equation modelingrecent advances in banking and finance /
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Modern SABR analyticsformulas and insights for quants, former physicists and mathematicians /
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The handbook of financial modelinga practical approach to creating and implementing valuation projection models /
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Python for finance cookbook :over 50 recipes for applying modern Python libraries to finance data analysis /
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Introduction to stochastic differential equations with applications to modelling in biology and finance
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Principles of financial modellingmodel design and best practices using Excel and VBA /
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Continuous time processes for financeswitching, self-exciting, fractional and other recent dynamics /
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The art of quantitative finance.Vol.2,Volatilities, stochastic analysis and valuation tools
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