Our software scrapes the web for large volumes of reputable data, news, and social media most relevant to politics
and political risk
These data fuel a machine-learning engine that generates high-frequency, objective and actionable political risk indicators
Enhanced by a team of political scientists and country experts
Our software provides investors and analysts with a comprehensive, systematic toolkit to identify and compare risks across markets and time
Our prediction engines help forecast how these risks will evolve over time
Integrate high-frequency, objective measures of politics and political risk directly into asset allocation, risk management, or other analytical models
Political risk matters, today more than ever. From the far-reaching effects of shock elections and geopolitical
instability, to the daily impacts of shifting regulations and social unrest, political factors increasingly
influence investment decisions that impact the bottom line.
But because political factors are diffcult to identify, and even more diffcult to quantify - they are often left out of the investment equation. Decision makers and analysts have been unable to incorporate politics into asset allocation or risk management strategies, instead relying on ad-hoc reports or static indicators to make critical decisions in real time.
Mark Rosenberg is a political economist and CEO and co-founder of Geoquant Inc. He received his PhD from UC Berkeley,
where he was a National Science Foundation (NSF) Fellow and specialized in game theory and African politics.
After Berkeley, he joined the political risk firm Eurasia Group (EG), where he was the Director of Africa,
Comparative Analytics and Research Management. In this capacity he helped manage a global research platform
of 60+ analysts covering over 90 countries, across a range of sectors. At EG Mark also led product development
and was a core creator of the firm’s Political Trajectories to forecast risks/opportunities at the country
level, as well as the Political Risk Country Portfolio, an asset allocation strategy based on custom measures
of political risk.
Prior to this, Mark worked at the global human rights organization Freedom House, where he helped build their highly regarded democracy index and edited the flagship Freedom in the World publication. Mark teaches political risk analysis at Columbia University’s School of International and Public Affairs and is a regular speaker at conferences and events on geopolitical risk.