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    Research Methodologies

Boxwood has core competencies in statistical and financial modeling that are exercised in client projects including portfolio risk assessment, investment analytics, REIT/ investment fund development, appraisal validation and survey research. Click on the links below for an outline of our capabilities in each area.

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Statistical Modeling: 

  • Univariate and multivariate time series analysis
  • LISREL, measurement, reliability and structural equation modeling
  • Advanced multivariate linear and non-linear modeling
  • Principal components and factor analysis
  • Statistical analysis of property transactions and survey data
  • Statistical sampling design for survey administration
  • Experimental design and evaluation
  • Neural network design


Financial Modeling:

  • Maximization of objective functions through numerical optimization, i.e., portfolio optimization
  • Factor-based risk model estimation and implementation
  • Volatility and risk estimation


Monte Carlo Simulation:

Monte Carlo simulation can be an effective approach for analysts attempting to solve complex business problems involving uncertainty or risk.  The Monte Carlo approach begins with the modeling of a business or economic process – with particular attention to measuring uncertainty in the process.  This information is then used in simulations to understand not only the most likely outcome of a process, but the range of possible outcomes and their probabilities. 

Boxwood has employed Monte Carlo techniques in a variety of real estate and investment projects where understanding and quantifying the risks and probabilities of future events is paramount. These applications include portfolio analysis, econometric/real estate forecasts, diversification studies and the construction of investment/hedge funds. 

For more information on Boxwood’s Monte Carlo methodologies applied to a real estate setting, there are two citations of research articles on the Publications page (see the references to The RMA Journal and Real Estate Finance articles).

Systems Development:

  • Multi-platform production system design and implementation
  • Data integration, calculation, and presentation systems
  • Real-time data analysis and delivery
 
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