Quantitative models and financial econometrics techniques are extensively used to analyze and forecast data trends, exploit hidden relationships and, ultimately, quantify and effectively manage risks. The workshop will introduce R-Adamant functionalities, walking users through the analysis of stock market and macroeconomic data, introducing risk efficient portfolios while evaluating their performance by testing the effects of stressed macro economic scenarios, and exploring strategies to improve Business Performance and reduce Human Capital Risk.
This workshop is a journey through the relations between the Human Capital Flow and its management addressing professionals to plan strategies, spot opportunities and minimize risks that can affect company's business performances.
Data Analysis and Modeling forecasting
Evolution and patterns in the job market
Human capital flow optimization
Elementary knowledge of general statistical concepts is assumed; basic knowledge of economics and business logics is beneficial, although not necessary.
This tutorial is designed for everybody, from university students and researchers to experienced professionals and managers. Even if you have no experience in programming, you will be able to successfully complete the tutorial.
Sample data for the tutorial, together with the slides and source code will be made available by first week of July 2013 on the R-Adamant website at http://r-adamant.org.
 James D. Hamilton. Time Series Analysis.  Markowitz, Harry M. (1991), Portfolio Selection, second edition, Blackwell.  Granger, Clive (1991). Modelling Economic Series: Readings in Econometric Methodology.  Ingmar Minderhoud (2009). Modeling Human Capital in Life-Cycle Portfolio Choice: Riskless or Risky?.  Andolfatto, Ferrall, Gomme (2000). Human Capital Theory and the Life-Cycle Pattern of Learning and Earning, Income and Wealth.