Our research
We conduct scientific and applied research to help us make decisions regarding financial and economic constructs. Not only do we conduct our own research, we remain abreast of recent research published in refereed financial and economic journals. As a result, we remain on top of the latest strategies in overcoming random walk theory and other potential constraints leveraging risk as a means of increasing output. Review some of our recent research below.

Econometric Investigation of World Economic Bubble Stability in Partial Substantiation of a Global Infrastructure Project

Real Options Theory as a Predictor of Opportunity Costs of Several Large Capital Investments under Uncertainty for a Private Investment Group

Univariate & Multivariate Time Series Modeling and Forecasting of Monthly Inbound and Outbound Shipping Capture at a Major Maritime Port

Short Sell/Buy vs Long Buy/Sell Probability Modeling of Asset Pricing for a Minerals Mining Corporation

Asset Modeling of Crypto Currency for Financial Services Corporation using Monte Carlo Simulation and Brownian Motion

Comparative Analysis of Asset Modeling and Forecasting Methods for Estimating Pricing Drift of Numerous Currencies

Comparative Analysis of Modified Multi-Variate Time Series Analysis and Monte Carlo Simulation with Brownian Motion as Econometric Models for Predicting Price Index Volatility of the S&P 500 based on Back Testing

Multivariate Time Series, Granger Causality & Vector Autoregression Models to Forecast Stock Price for a Large Energy Investment

Financial & Econometric Analysis of an Infrastructure Engineering Firm, coupled with a Formal Valuation, for a Private Investment Group

Statistical Analysis of the Financial Impacts Policies under the Obama Administration had on a Large Infrastructure Project

Cost Analysis, Modeling, and Forecasting of Probabilistic Cost Increases for Surface Mining Operations

Multivariate Time Series, Granger Causality & Vector Autoregression Models to Forecast Stock Price for a Maritime Shipping Investment

Economic Impact Study using Mulitvariate Time Series Analysis, Probability Theory, Granger Causality, and Vector Autoregression to Predict International Trade Capture at a Global Maritime Port

Multivariate Time Series, Granger Causality & Vector Autoregression Models to Forecast Profitability of a Maritime Shipping Investment

Multivariate Time Series, Granger Causality & Vector Autoregression Models to Forecast Profitability of a Maritime Shipping Investment

Financial & Economic Investigation of Harbor Deeping to Capture Post-Panamax Asian Trade for a US Port

Population Modeling in Substantiation for Long Term Economic Output for the Implementation of a Multi-Billion-Dollar Infrastructure Investment

Development of Statistical Models for Probabilistic Predictions of EBITDA for Global Energy Exploration Company under Extreme Uncertainty

Development of Statistical Models for Probabilistic Predictions of EBITDA for Energy Corporation under Extreme Uncertainty

Development of Statistical Models for Probabilistic Predictions of EBITDA for Global Energy Exploration Company

Multivariate Time Series Analysis, Granger Causality & Vector Autoregression Modeling as a means of Forecasting Stock Price on Multinational Energy Investments

Financial Analysis, Valuation, and Planning for an Engineering Firm during an Anticipated Economic Correction

Investment Modeling for Probabilistic Predictions of EBITDA under Uncertainty for a South Florida-based Corporation

Stock Price Modeling for Manufacturing Corporation using Monte Carlo Simulations with Geometric Brownian Motion

Stock Price Modeling for Manufacturing Corporation using Monte Carlo Simulations with Geometric Brownian Motion

Stock Price Modeling for Manufacturing Corporation using Monte Carlo Simulations with Geometric Brownian Motion

Stock Price Modeling for US Hydrogen Fuel Cell Corporation using Monte Carlo Simulations with Geometric Brownian Motion

Stock Price Modeling for Hydrogen Energy Corporation using Monte Carlo Simulations with Geometric Brownian Motion

Univariate Time Series Modeling & Multiple Regression Modeling to Predict Hotel Occupancy Rates, Revenues, & Profitability

Univariate Time Series Modeling & Multiple Regression Modeling to Predict Hotel Occupancy Rates, Revenues, & Profitability

Financial & Econometric Analysis of an Infrastructure Engineering & Construction Management Firm, coupled with a Formal Valuation

Stock Price Modeling for Global Energy Corporation using Monte Carlo Simulations with Geometric Brownian Motion

Financial Analysis of Engineering, Construction, and Operations for the Expansion of a Large Grain Complex for a Midwestern Grain Distributor Expanding Operations to Asia

Survey Research & Testing of a Scientific Sample of Senior Managers to Estimate Operational Performance

Price Analysis and Modeling for South American Diamond Mining Corporation using Geometric Brownian Motion

Development of Statistical Models for Probabilistic Predictions of EBITDA for Global Shipping Company under Extreme Uncertainty

Multivariate Time Series, Granger Causality & Vector Autoregression Models to Forecast Profitability of a Maritime Shipping Investment

Univariate & Multivariate Time Series Modeling and Forecasting of Monthly Inbound and Outbound Shipping Capture at a Major Maritime Port

Short Sell vs Long Sell Probability Modeling of Stock Price for International Energy Trading Corporation

Investment Modeling for Probabilistic Predictions of EBITDA under Uncertainty for a Chicago-based Corporation

Statistically-based Rubric Development for Corporate Financial Performance under Extreme Financial Distress

Probabilistic Revenue & Profit Modeling & Forecasting for an Automobile Corporation using GDP, Unemployment, Employment, and Inflation Rate via Granger Causality and Vector Autoregression and other Econometric Methods

Unemployment & GDP as Predictors of Financial Performance under Uncertainty for a Privately Held Company

Population Modeling in Substantiation for Long Term Economic Output for the Implementation of a Multi-Billion-Dollar Infrastructure Investment across Sub-Sahara Africa

Development of Multivariate Models to Predict Corruption in the Republic of Botswana based on Energy Supply & Demand