MATHEMATICAL MODELING AND ECONOMETRIC ANALYSIS

Tarter Econometrics takes traditional business solutions to the next level by enhancing them with powerful mathematical tools. Mathematical modeling offers modern businesses the ability to excel by harnessing the incredible power of the world of optimization. When our mathematicians and developers are engaged, centuries of powerful algorithms and estimation tools will be at your disposal. These techniques have the capacity to revolutionize businesses and to position firms well beyond the reach of their competitors.

In the world of finance, Tarter Econometrics' modeling background includes the design and deployment of sophisticated tools for asset valuation, risk management, and portfolio optimization across a wide variety of asset classes. Tarter Econometrics has done extensive work in analyzing equities, fixed income, and derivative instruments, including valuation and risk management research for exotic emerging asset classes. Our recent advances include enhancements to our term structure libraries, distributed computing algorithms for simulation analysis, and new innovations in dimensional compactification of complex structures.

In the retail arena, Tarter Econometrics has developed modeling frameworks and software for optimal pricing, competitor intelligence analysis, supply chain planning, personnel management, project planning, and more. Our tools work both as standalones and as interfaces to existing enterprise resource planning (ERP), supply chain planning, and retail management software.

Recent work by Tarter Econometrics in the energy sector is leading to a new class of algorithms for risk management and supply chain planning over geographically complex regions. These algorithms provide firms and financiers the capability to significantly hedge existing risks and to reduce costs for new market entrants.

A few applications of our modeling methodologies and some of our modeling specializations are listed below. If you do not see your application on the list below, please contact us for more information.

Modeling Applications

Finance Portfolio Optimization Optimal Pricing Economic Models

Securities Fixed Income Analysis Marketing Analysis Statistical Process Optimization

Risk Management Yield Management Supply Chain Planning Enterprise Resource Planning (ERP)

Statistical Specializations

Reliability Modeling Kalman Filtering Monte Carlo Simulation Time-Series Modeling Vector Autoregression & Error-Corrections

Logistic Regression Gibbs Sampling Spectral Analysis Queuing Models Discrete Event Simulation

Simultaneous Equations Models Bayesian Methods Box-Jenkins Methods Heckman Selection Models Multinomial Logit & Probit Models