Innovative methods in assessing political risk for business internationalization

Political risk assessment, together with portfolio analysis, has become an important part of international business investment decision making. In this paper, by using different knowledge discovery techniques, we attempt to assess the relevance and actionability of [`]good governance' indicators in political risk assessment. For that purpose, we have integrated good governance indicators data with political instability classification from the Political Instability Task Force (PITF) research. From this study, two models that capture the intuitive reasoning of investors have been developed. The usefulness of the models has been evaluated by comparison with factual investment data. Our findings suggest that quantitative indicators of good governance may provide the basis for accurate and meaningful models for the assessment and prediction of political risk.

[1]  S. Sethi,et al.  Political Risk Analysis and Direct Foreign Investment: Some Problems of Definition and Measurement , 1986 .

[2]  Jennifer M. Oetzel,et al.  Smaller may be beautiful but is it more risky? Assessing and managing political and economic risk in Costa Rica , 2005 .

[3]  S. Kobrin POLITICAL RISK : A REVIEW AND RECONSIDERATION , 2007 .

[4]  L. Mello,et al.  Foreign direct investment in developing countries and growth: A selective survey , 1997 .

[5]  Daniel Treisman,et al.  The causes of corruption: a cross-national study , 2000 .

[6]  Mary Hallward-Driemeier,et al.  World development report 2005: a better investment climate for everyone , 2004 .

[7]  Nada Lavrac,et al.  Expert-Guided Subgroup Discovery: Methodology and Application , 2011, J. Artif. Intell. Res..

[8]  D. Rodrik,et al.  THE GLOBAL GOVERNANCE OF TRADE AS IF DEVELOPMENT REALLY MATTERED , 2001 .

[9]  C. R. Kennedy Political risk management: A portfolio planning model , 1988 .

[10]  C. Oman Policy competition for foreign direct investment : a study of competition among governments to attract FDI , 2000 .

[11]  George T. Abed,et al.  Governance, Corruption, and Economic Performance , 2002 .

[12]  T. Khanna,et al.  Strategies that fit emerging markets. , 2005, Harvard business review.

[13]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[14]  Hui Wang,et al.  Integrative Data Mining for Assessing International Conflict Events , 2006, 2006 3rd International IEEE Conference Intelligent Systems.

[15]  Karolj Skala,et al.  Reimplementation of the Random Forest Algorithm , 2005 .

[16]  B. Frey,et al.  An econometric model with an endogenous government sector , 1975 .

[17]  P. Mauro Corruption and Growth , 1995 .

[18]  Karl P. Sauvant UNCTAD, World Investment Report 1995: Transnational Corporations and Competitiveness (Geneva and New York: United Nations, 1995) , 1995 .

[19]  K. Meyer,et al.  Investment Strategies in Emerging Markets , 2004 .

[20]  S. Wei,et al.  How Taxing is Corruption on International Investors? , 1997, Review of Economics and Statistics.

[21]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[22]  Charlotte H. Brink,et al.  Measuring Political Risk: Risks to Foreign Investment , 2004 .