Geopolitical & Global Market Risk: Difference between revisions
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Date: October 6, 2017 | Date: Friday, October 6, 2017 | ||
Location: Morgan Stanley Headquarters, New York, NY | Location: Morgan Stanley Headquarters, 1585 Broadway, 42nd Floor, New York, NY | ||
Electoral systems, government bureaucracies, regulatory environments, networks of international alliances, and financial markets are all complex adaptive systems. As such, attempts to predict their behaviors with traditional models often fail. This meeting will explore both (i) the application of complexity theory to geopolitical and market risk, and (ii) the relationship between geopolitical and market risk. Particular attention will be paid to the mechanisms that drive uncertainty in these systems and difficulty in quantifying these risks. | Electoral systems, government bureaucracies, regulatory environments, networks of international alliances, and financial markets are all complex adaptive systems. As such, attempts to predict their behaviors with traditional models often fail. This meeting will explore both (i) the application of complexity theory to geopolitical and market risk, and (ii) the relationship between geopolitical and market risk. Particular attention will be paid to the mechanisms that drive uncertainty in these systems and difficulty in quantifying these risks. | ||
Revision as of 17:48, 10 August 2017
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Date: Friday, October 6, 2017
Location: Morgan Stanley Headquarters, 1585 Broadway, 42nd Floor, New York, NY
Electoral systems, government bureaucracies, regulatory environments, networks of international alliances, and financial markets are all complex adaptive systems. As such, attempts to predict their behaviors with traditional models often fail. This meeting will explore both (i) the application of complexity theory to geopolitical and market risk, and (ii) the relationship between geopolitical and market risk. Particular attention will be paid to the mechanisms that drive uncertainty in these systems and difficulty in quantifying these risks.