文档介绍：ponent Analysis (PCA)
Information management
赵良峰李娜王子豪孙文灿朱莎
A NEW TAXONOMY OF COUNTRY PERFORMANCE AND RISK BASED ON ECONOMIC AND TECHNOLOGICAL INDICATORS
About paper
MARIO IA
National Research Council of Italy
and Max Planck Institute of Economics
Journal of Applied Economics(2007)
contents
and introduction
theoretical framework
of analysis
and findings
remarks
Abstract
This paper proposes a new taxonomy for countries based on ponent paper investigates 51 countries using a set of 13 indicators of economic and technological performance for the period 2000-2002. The methodology reduces the variables and groups the countries that show similar strategic behaviour in the global market. The taxonomy facilitates the identification of country performance and risk, and provides relevant information both to international investors and to policy-makers, who must decide about global investment strategies and economic policies.
Key words: comparative country analysis, multivariate analysis, country taxonomy, countrymetrics
Press me
The theoretical framework
Country risk assessment is based on three
methodological approaches.
qualitative approach to country risks
rank-parative approach
econometric and mathematical methods
- Discriminant analysis (Altman 1968)
- ponent analysis (Scherer and Avellaneda 2000)
-Non-linearities and non-parametric estimation (Kaminski and Reinhart 1999)
- Logit and probit models
- Regression analysis
- Monte Carlo simulations
- Value at risk (Pritsker 1997)
- Artificial works
- Multicriteria decision making
This research applies econometric methods(principal component analysis)
ponent Analysis
takes a data matrix of n objects by p variables, which may be correlated, and summarizes it by uncorrelated axes (ponents or principal axes) that are binations of the original p variables.
ponent Analysis
summarization of data with many (p) variables by a smaller set