Geopolitical & Global Market Risk: Difference between revisions
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|'''Navigation''' | |||
*[[Geopolitical_%26_Global_Market_Risk |Home]] | |||
*[[Geopolitical_%26_Global_Market_Risk_Agenda|Agenda]] | |||
*[[Geopolitical_%26_Global_Market_Risk_Speakers|Speakers]] | |||
*[[Geopolitical_%26_Global_Market_Risk_Registration|Registration]] | |||
*[[Geopolitical_%26_Global_Market_Risk_Travel|Travel Information]] | |||
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Co-hosted by Morgan Stanley | |||
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. | Held at Morgan Stanley, 1585 Broadway, 41st Floor, New York, NY | ||
Friday, October 6, 2017 | |||
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'''Summary:''' 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. | |||
Latest revision as of 17:53, 10 August 2017
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Co-hosted by Morgan Stanley
Held at Morgan Stanley, 1585 Broadway, 41st Floor, New York, NY
Friday, October 6, 2017
Summary: 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.