@berylaugus
Frequent proxy upgrades or owner-controlled contracts raise governance and technical risks. These can be quantified by tracking upgrade frequency, privilege scope, and community oversight. A governance risk score can then be translated into a discount factor applied to token valuation. For instance, each additional upgrade per quarter without transparency could widen the risk discount by 2–5%. Mapping this to pricing allows investors to penalize opaque projects while rewarding stability. Over time, datasets of governance events improve calibration, giving quantitative grounding to risk adjustments in valuation models.
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