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Finance -- Mathematical models
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The concept ** Finance -- Mathematical models** represents the subject, aboutness, idea or notion of resources found in **University of Missouri Libraries**.

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Finance -- Mathematical models
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**Finance -- Mathematical models**represents the subject, aboutness, idea or notion of resources found in**University of Missouri Libraries**.- Label
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- A benchmark approach to quantitative finance
- A man for all markets : from Las Vegas to Wall Street, how I beat the dealer and the market
- A workout in computational finance
- ARCH models and financial applications
- Advanced mathematical methods for finance
- Advanced mathematical methods for finance
- Advanced modelling in finance using Excel and VBA
- Advances in financial machine learning
- An introduction to econophysics : correlations and complexity in finance
- An introduction to financial markets : a quantitative approach
- An introduction to wavelets and other filtering methods in finance and economics
- Analysis of financial data
- Applied quantitative finance
- Applied quantitative finance : theory and computational tools
- Architecting system of systems: artificial life analysis of financial market behavior
- Aspects of mathematical finance
- Asset price dynamics, volatility, and prediction
- Asymptotic chaos expansions in finance : theory and practice
- Bayesian methods in finance
- Bayesian risk management : a guide to model risk and sequential learning in financial markets
- Big data science in finance
- Biologically inspired algorithms for financial modelling
- Biologically inspired algorithms for financial modelling
- Computational finance : a scientific perspective
- Computational financial mathematics using Mathematica : optimal trading in stocks and options
- Computational methods for quantitative finance : finite element methods for derivative pricing
- Contemporary quantitative finance : essays in honour of Eckhard Platen
- Continuous stochastic calculus with applications to finance
- Continuous-time finance
- Contributions to financial econometrics : theoretical and practical issues
- Corporate and project finance modeling : theory and practice
- Credit models and the crisis : a journey into CDOs, Copulas, correlations and dynamic models
- C♯ for financial markets
- Data modeling of financial derivatives : a conceptual approach
- Detecting regime change in computational finance : data science, machine learning and algorithmic trading
- Discrete time series, processes, and applications in finance
- Econophysics : an introduction
- Econophysics : background and applications in economics, finance, and sociophysics
- Econophysics : background and applications in economics, finance, and sociophysics
- Elements of mathematics for economics and finance
- Empirical techniques in finance
- Empirical techniques in finance
- Essential quantitative methods for business, management and finance
- Experiments in quantitative finance
- Exponential functionals of Brownian motion and related processes
- Finance theory and asset pricing
- Finance with Monte Carlo
- Finance, Volume I, a quantitative introduction
- Financial aggregation and index number theory
- Financial analysis and modeling using Excel and VBA
- Financial and Actuarial Statistics, 2nd Edition
- Financial and macroeconomic connectedness : a network approach to measurement and monitoring
- Financial decision making under uncertainty
- Financial econometrics for researchers in finance and accounting
- Financial economics, risk and information : an introduction to methods and models
- Financial market complexity
- Financial modeling : a backward stochastic differential equations perspective
- Financial modeling : using Excel and VBA
- Financial modeling for business owners and entreprenuers : developing Excel models to raise capitial, increase cash flow, improve operations, plan projects, and make decisions
- Financial modeling in Excel for dummies
- Financial modeling under non-gaussian distributions
- Financial modeling under non-gaussian distributions
- Financial modeling with Crystal Ball and Excel
- Financial modelling : recent research
- Financial modelling with jump processes
- Financial models with Lévy processes and volatility clustering
- Financial pricing models in continuous time and Kalman filtering
- Finding alphas : a quantitative approach to building trading strategies
- Foundations and applications of the time value of money
- Foundations for financial economics
- Foundations of computational finance with MATLAB
- Frequently asked questions in quantitative finance : including key models, important formulæ, common contracts, a history of quantitative finance, sundry lists, brainteasers and more
- Frequently asked questions in quantitative finance : including key models, important formulæ, popular contracts, essays and opinions, a history of quantitative finance, sundry lists, the commonest mistakes in quant finance, brainteasers, plenty of straight-talking, the Modellers' Manifesto and lots more
- Funds : private equity, hedge and all core structures
- GARCH models : structure, statistical inference and financial applications
- GARCH models : structure, statistical inference and financial applications
- GARCH models : structure, statistical inference and financial applications
- Game-theoretic foundations for probability and finance
- General equilibrium foundations of finance : structure of incomplete markets models
- Generalized hyperbolic secant distributions : with applications to finance
- Generalized poisson models and their applications in insurance and finance
- Genetic algorithms and genetic programming in computational finance
- Getting it wrong : how faulty monetary statistics undermine the Fed, the financial system, and the economy
- Handbook in Monte Carlo simulation : applications in financial engineering, risk management, and economics
- Handbook of research methods and applications in empirical finance
- Hands-on financial modeling with Microsoft Excel 2019 : build practical models for forecasting, valuation, trading, and growth analysis using Excel 2019
- Heavy-tail phenomena : probabilistic and statistical modeling
- Heavy-tail phenomena : probabilistic and statistical modeling
- How I became a quant : insights from 25 of Wall Street's elite
- How economic growth and inflation happen
- Implementing models in quantitative finance : methods and cases
- Implementing models in quantitative finance : methods and cases
- Information spillover in financial markets
- Innovations in financial and economic networks
- Inspired by finance : the Musiela festschrift
- Integration with respect to a fractional Brownian motion and related market models
- Intelligent systems and financial forecasting
- Introduction to mathematical finance : discrete time models
- Introduction to stochastic differential equations with applications to modelling in biology and finance
- Introductory stochastic analysis for finance and insurance
- Introductory stochastic analysis for finance and insurance
- Learning quantitative finance with R : implement machine learning, time-series analysis, algorithmic trading and more
- Louis Bachelier's Theory of speculation : the origins of modern finance
- Machine learning for finance : principles and practice for financial insiders
- Markets with transaction costs
- Markets with transaction costs : mathematical theory
- Markov decision processes with applications to finance
- Martingale methods in financial modelling
- Martingale methods in financial modelling
- Mastering Python for finance : implement advanced state-of-the-art financial statistical applications using Python
- Mastering Python for finance : understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python
- Mastering financial modeling : a professional's guide to building financial models in Microsoft Excel
- Mathematical control theory and finance
- Mathematical finance : core theory, problems, and statistical algorithms
- Mathematical finance : theory review and exercises : from binomial model to risk measures
- Mathematical methods for financial markets
- Mathematical methods for financial markets
- Mathematical methods in finance and economics
- Mathematical models in finance
- Mathematical techniques in finance : tools for incomplete markets
- Mathematical techniques in financial market trading
- Mathematics for economics and finance : methods and modelling
- Mathematics for finance : an introduction to financial engineering
- Mathematics for finance : an introduction to financial engineering
- Mathematics of interest rates and finance
- Mathematics of the bond market : a Lévy processes approach
- Mathematics of the financial markets : financial instruments and derivatives modelling, valuation and risk issues
- Measure, probability, and mathematical finance : a problem-oriented approach
- Measuring risk in complex stochastic systems
- Methods of mathematical finance
- Microeconomics of banking
- Modeling financial time series with S-plus
- Modelling and forecasting financial data : techniques of nonlinear dynamics
- Modern SABR analytics : formulas and insights for quants, former physicists and mathematicians
- Modern computational finance : AAD and parallel simulations with professional implementation in C++
- Natural computing in computational finance
- Non-Gaussian Merton-Black-Scholes theory
- Nonlinear time series models in empirical finance
- Nonparametric finance
- Numerical methods and optimization in finance
- Numerical methods and optimization in finance
- Numerical methods in finance
- Numerical methods in finance : Bordeaux, June 2010
- Numerical techniques in finance
- Optimal control models in finance : a new computational approach
- Optimal control models in finance : a new computational approach
- Optimality and risk - modern trends in mathematical finance : the Kabanov festschrift
- Optimisation et contrôle stochastique appliqués à la finance
- Paul Wilmott introduces quantitative finance
- Physics of finance : gauge modelling in non-equilibrium pricing
- Practical applications of approximate equations in finance and economics
- Practical financial optimization : a library of GAMS models
- Practical financial optimization : decision making for financial engineers
- Prices in financial markets
- Pricing, Risk, and Performance Measurement in Practice : the Building Block Approach to Modeling Instruments and Portfolios
- Principles of financial economics
- Principles of financial modelling : model design and best practices using Excel and VBA
- Pro Excel financial modeling : building models for technology startups
- Probability and statistical models : foundations for problems in reliability and financial mathematics
- Problems and solutions in mathematical finance, Volume 1, stochastic calculus
- Python for finance cookbook : over 50 recipes for applying modern Python libraries to finance data analysis
- Quantitative analysis of financial decisions
- Quantitative finance
- Quantitative finance : a simulation-based introduction using Excel
- Quantitative finance : an object-oriented approach in C++
- Quantitative finance and risk management : a physicist's approach
- Quantitative finance for physicists : an introduction
- Quantitative methods in derivatives pricing : an introduction to computational finance
- Quantitative risk management : concepts, techniques and tools
- Risk finance and asset pricing : value, measurements, and markets
- Risk-neutral valuation : pricing and hedging of financial derivatives
- Semiparametric modeling of implied volatility
- Semiparametric modeling of implied volatility
- Solving an empirical puzzle in the capital asset pricing model
- State-space models : applications in economics and finance
- Statistical models and methods for financial markets
- Statistics of financial markets : an introduction
- Statistics of financial markets : an introduction
- Statistics of financial markets : an introduction
- Statistics of financial markets : exercises and solutions
- Statistics of financial markets : exercises and solutions
- Stochastic calculus of variations in mathematical finance
- Stochastic calculus of variations in mathematical finance
- Stochastic dominance : an approach to decision-making under risk
- Stochastic dynamic equations
- Stochastic methods in economics and finance
- Stochastic methods in finance : lectures given at the C.I.M.E.-E.M.S. summer school held in Bressanone/Brixen, Italy, July 6-12, 2003
- Stochastic methods in finance : lectures given at the C.I.M.E.-E.M.S. summer school held in Bressanone/Brixen, Italy, July 6-12, 2003
- Stochastic modeling in economics and finance
- Stochastic volatility Modeling
- Stochastics of environmental and financial economics : Centre of Advanced Study, Oslo, Norway, 2014-2015
- Stochastics of environmental and financial economics : Centre of Advanced Study, Oslo, Norway, 2014-2015
- Structured finance modeling with object-oriented VBA
- System dynamics in economic and financial models
- The Concepts and practice of mathematical finance
- The Heston model and its extensions in Matlab and C♯
- The basics of financial modeling
- The basics of financial modeling
- The concepts and practice of mathematical finance
- The demand for business loan credit
- The handbook of financial modeling : a practical approach to creating and implementing valuation projection models
- The handbook of financial modeling : a practical approach to creating and implementing valuation projection models
- The handbook of news analytics in finance
- The mathematics of financial models : solving real-world problems with quantitative methods
- The money formula : dodgy finance, pseudo science, and how mathematicians took over the markets
- The theory of financial markets and information
- Theory of financial decision making
- Tools for computational finance
- Tools for computational finance
- Tools for computational finance
- Tools for computational finance
- Uncertain volatility models : theory and application
- Utility maximization, duality, price for risk, semimartingale represenations & continuous time CAPM
- Visual quantitative finance : a new look at option pricing, risk management, and structured securities

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