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

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Risk management -- Mathematical models
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**Risk management -- Mathematical models**represents the subject, aboutness, idea or notion of resources found in**University of Missouri Libraries**.- Label
- Risk management -- Mathematical models

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- Advances in heavy tailed risk modeling : a handbook of operational risk
- Agency problems and risk taking at banks
- Anticipating correlations : a new paradigm for risk management
- Application of loglinear models to claims triangle runoff data
- Bubble value at risk : a countercyclical risk management approach
- Corporate crisis and risk management : modelling, strategies and SME application
- Credit risk : modeling, valuation and hedging
- Credit risk modeling using Excel and VBA
- Extreme financial risks : from dependence to risk management
- Extreme financial risks : from dependence to risk management
- Frontiers in credit risk : concepts and techniques for applied credit risk measurement
- Growth uncertainty and risksharing
- Hypermodels in mathematical finance : modelling via infinitesimal analysis
- Implementing Vickson's DSD procedure
- Mathematical methods for finance : tools for asset and risk management
- Mathematical risk analysis : dependence, risk bounds, optimal allocations and portfolios
- Mathematical techniques in finance : tools for incomplete markets
- Mathematics and Statistics for Financial Risk Management
- Maximum adverse excursion : analyzing price fluctuations for trading management
- Measuring risk in complex stochastic systems
- Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods
- Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods
- New directions in mathematical finance
- Operational risk : measurement and modelling
- Operational tools in the management of financial risks
- Optimal portfolios : stochastic models for optimal investment and risk management in continuous time
- Parimutuel applications in finance
- Quantitative finance and risk management : a physicist's approach
- Quantitative methods for electricity trading and risk management : advanced mathematical and statistical methods for energy finance
- Quantitative risk management : concepts, techniques and tools
- Reliability and risk : a Bayesian perspective
- Risk management and financial derivatives : a guide to the mathematics
- Risk management in stochastic integer programming : with application to dispersed power generation
- Risk management technologies : with logic and probabilistic models
- Risk quantification : management, diagnosis & hedging
- Scenario logic and probabilistic management of risk in business and engineering
- Scenario logic and probabilistic management of risk in business and engineering
- Scenario logic and probabilistic management of risk in business and engineering
- The Concepts and practice of mathematical finance
- The analytics of risk model validation
- The concepts and practice of mathematical finance
- The credit market handbook : advanced modeling issues
- The handbook of news analytics in finance

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/FKdPjJ3oKbA/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/FKdPjJ3oKbA/">Risk management -- Mathematical models</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`