JPMorgan Says Crypto Market Deleveraging Cycle Won’t Be Lengthy
Stronger crypto companies are stepping in to help contain contagion, and venture capital funding is still healthy, the bank said.

The collapse of crypto hedge fund Three Arrows Capital (3AC) indicates that the ramifications of this year's cryptocurrency market slump continue to reverberate, JPMorgan (JPM) said in a report Wednesday.
While it is hard to assess how much more deleveraging still needs to happen, the bank said, its indicators suggest the process is already well advanced.
Multiple failures among companies in the industry should not surprise given the backdrop of deleveraging and the 70% drop in digital asset market capitalization since November, the report says.
The entities that employed higher leverage in the past are now the most vulnerable, the bank said. “Whether it is miners having borrowed to expand operations using their bitcoin as collateral, or corporates such as MicroStrategy (MSTR) having borrowed in the past to invest even more heavily into bitcoin, or hedge funds using futures to lever their positions, or retail investors borrowing via margin accounts to invest in various cryptocurrencies.”
The failure of 3AC is a manifestation of this deleveraging process, the note says, adding that the process seems well advanced, “making the bottom formation process in crypto markets more volatile.”
Bitcoin
The weakest crypto companies, those with high leverage and lower capital levels, are the most challenged. Conversely, those with the healthiest balance sheets are most likely to survive and will emerge stronger once this current phase is over, the report says.
JPMorgan identifies two reasons to suggest that the cycle may not be very protracted: Stronger crypto companies with more robust balance sheets are stepping in to help contain contagion, and the continued healthy pace of venture capital (VC) funding, an important source of capital for the digital assets ecosystem.
Read more: Deutsche Bank: Crypto Free Fall Could Continue Because of the System’s Complexity
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