There’s been some decent ink spilled recently on the “dispersion trade” which has profited from the epically low level of realized correlation among stocks. If winning trades attract capital and erode the margin of safety in the process, is this exposure crowded and vulnerable to an unwind?  In this short pod, I lay out a 5-part, informal framework for thinking about risk-off episodes. In the process, we consider the pricing of vol and correlation. While the spill-over risk from dispersion trades gone wrong doesn’t appear to be high, the pricing of index volatility that results from never seen before levels of implied correlation offers a uniquely attractive cost of macro insurance.I hope you enjoy and find this useful.

There’s been some decent ink spilled recently on the “dispersion trade” which has profited from the epically low level of realized correlation among stocks. If winning trades attract capital and erode the margin of safety in the process, is this exposure crowded and vulnerable to an unwind? In this short pod, I lay out a 5-part, informal framework for thinking about risk-off episodes. In the process, we consider the pricing of vol and correlation. While the spill-over risk from dispersion trades gone wrong doesn’t appear to be high, the pricing of index volatility that results from never seen before levels of implied correlation offers a uniquely attractive cost of macro insurance. I hope you enjoy and find this useful.

There’s been some decent ink spilled recently on the “dispersion trade” which has profited from the epically low level of realized correlation among stocks. If winning trades attract capital and erode the margin of safety in the process, is this exposure crowded and vulnerable to an unwind?&nbsp; In this short pod, I lay out a 5-part, informal framework for thinking about risk-off episodes. In the process, we consider the pricing of vol and correlation. While the spill-over risk from dispersion trades gone wrong doesn’t appear to be high, the pricing of index volatility that results from never seen before levels of implied correlation offers a uniquely attractive cost of macro insurance.I hope you enjoy and find this useful.

Correlation, Crowding and Convexity

The Alpha Exchange is a podcast series launched by Dean Curnutt to explore topics in financial markets, risk management and capital allocation in the alternatives industry. Our in depth discussions with highly established industry professionals seek to uncover the nuanced and complex interactions between economic, monetary, financial, regulatory and geopolitical sources of risk. We aim to learn from the perspective our guests can bring with respect to the history of financial and business cycles, promoting a better understanding among listeners as to how prior periods provide important context to present day dynamics. The “price of risk” is an important topic. Here we engage experts in their assessment of risk premium levels in the context of uncertainty. Is the level of compensation attractive? Because Central Banks have played so important a role in markets post crisis, our discussions sometimes aim to better understand the evolution of monetary policy and the degree to which the real and financial economy will be impacted. An especially important area of focus is on derivative products and how they interact with risk taking and carry dynamics. Our conversations seek to enlighten listeners, for example, as to the factors that promoted the February melt-down of the VIX complex. We do NOT ask our guests for their political opinions. We seek a better understanding of the market impact of regulatory change, election outcomes and events of geopolitical consequence. Our discussions cover markets from a macro perspective with an assessment of risk and opportunity across asset classes. Within equity markets, we may explore the relative attractiveness of sectors but will NOT discuss single stocks.

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Correlation, Crowding and Convexity

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