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Increased trading with financial instruments, new actors and novel technologies are changing the nature of financial markets making trade faster, more information dense and more globalized than ever. These changes in financial markets are not incremental and linear, but transformative with the emergence of a new "machine-ecology" with intricate system behavior and new forms of systemic financial risks. We argue that the nature of these changes pose fundamentally new challenges to governance as they require policy-makers to respond to system properties characterized by not only complex causality, but also extreme connectivity (i.e. global), ultra-speed (i.e. micro-seconds) and "hyperfunctionality". Governance can fail at the system level if a subsystem performs its function to such an extreme; this could jeopardize the efficiency of the system as a whole. We elaborate in what ways governance scholars can approach these issues, and explore the types of strategies policy-makers around the world use to address these new financial risks. We conclude by pointing out what we perceive as critical research fronts in this domain.

Unexpected epidemics, abrupt catastrophic shifts in biophysical systems, and economic crises that cascade across national borders and regions are events that challenge the steering capacity of governance at all political levels. This article seeks to extend the applicability of governance theory by developing hypotheses about how different governance types can be expected to handle processes of change characterized by nonlinear dynamics, threshold effects, cascades, and limited predictability. The first part of the article argues the relevance of a complex adaptive system approach and goes on to review how well governance theory acknowledges the intriguing behavior of complex adaptive systems. In the second part, we develop a typology of governance systems based on their adaptive capacities. Finally, we investigate how combinations of governance systems on different levels buffer or weaken the capacity to govern complex adaptive systems.

Unexpected epidemics, abrupt catastrophic shifts in biophysical systems, and economic crises that cascade across national borders and regions are events that challenge the steering capacity of governance at all political levels. This article seeks to extend the applicability of governance theory by developing hypotheses about how different governance types can be expected to handle processes of change characterized by nonlinear dynamics, threshold effects, cascades, and limited predictability. The first part of the article argues the relevance of a complex adaptive system approach and goes on to review how well governance theory acknowledges the intriguing behavior of complex adaptive systems. In the second part, we develop a typology of governance systems based on their adaptive capacities. Finally, we investigate how combinations of governance systems on different levels buffer or weaken the capacity to govern complex adaptive systems. Adapted from the source document.