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TRX Glazer Capital describes cross-team merger and convertible arbitrage approach
Glazer Capital founder, CEO and CIO Paul Glazer described how the firm's merger arbitrage, SPAC arbitrage and convertible arbitrage teams work together, saying that when a deal involves an outstanding convertible bond the firm can assess whether the convertible or the equity is more attractive. He said the firm only acts on trades it believes in with high conviction, aiming to make money on every position, and cited cross-team synergy, a loosening regulatory backdrop and larger $10bn-plus deals as fuelling conviction-led arbitrage.
Why “Unverified”
- Reported by Hedgeweek alone, with no second source or primary confirmation yet
1 independent source group across 1 post · evidence score 48/100. How labels work
What the sources claim
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Glazer Capital runs three defined strategies: merger arbitrage, SPAC arbitrage and convertible arbitrage.
“Glazer Capital has three defined investment strategies: merger arbitrage, SPAC arbitrage and convertible arbitrage”
Hedgeweek -
Convertible arbitrage is described as a longer-term investment with typical maturities of three to five years.
“convertible arbitrage is a longer-term horizon investment, with typical maturities of three to five years”
Hedgeweek -
Paul Glazer says the firm can assess whether the convertible or the equity is more attractive when a deal involves an outstanding convertible bond.
“when a deal involves an outstanding convertible bond, we can assess whether it's more attractive to invest in the convertible or equity”
Hedgeweek -
Glazer says the firm only acts on trades it believes in with high conviction, looking to make money on every position.
“we are really looking to make money on every position we hold”
Hedgeweek -
Cross-team synergy, a loosening regulatory backdrop and larger $10bn-plus deals are cited as fuelling conviction-led arbitrage.
“cross-team synergy, a loosening regulatory backdrop and larger $10bn-plus deals are fuelling conviction-led arbitrage”
Hedgeweek
Sources
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Summary and claims extracted by AI with prompt analyze-story@5 on 2026-11-05 16:20 UTC. Labels are computed from the sources, not by the model.