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CVA
Covanta Holding Corporation
stock NYSE

Inactive
Nov 29, 2021
20.26USD+0.099%(+0.02)6,694,797
Pre-market
0.00USD-100.000%(-20.24)0
After-hours
0.00USD0.000%(0.00)0
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CVA Reddit Mentions
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We have sentiment values and mention counts going back to 2017. The complete data set is available via the API.
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CVA Specific Mentions
As of Jun 24, 2026 4:31:05 AM EDT (<1 min. ago)
Includes all comments and posts. Mentions per user per ticker capped at one per hour.
47 days ago • u/Downtown_Job_715 • r/quant • hypothetically_if_the_correlation_parameter_in • Models • B
I'm not claiming this is true or has been done. Just curious about a hypothetical that crossed my mind while reading some old credit risk papers.
In the standard structural model for vulnerable options (Klein 1996), the price of a call written by a risky counterparty depends heavily on the correlation between the underlying asset and the counterparty's total asset value. That correlation is a free parameter. You have to estimate it, and it's notoriously hard to pin down, but it drives the credit charge.
How big of a deal would it be, if this correlation parameter could be derived endogenously from some model's own structure, instead of needing a separate historical estimation.
I'm just asking, if that were true, how much would it matter?
· Would trading desks actually change how they price or hedge OTC options?
· Would CVA calculations become more reliable, or would people still fudge it because they don't trust the inputs?
· Could it create arbitrage opportunities if the market were still pricing options using ad‑hoc correlations?
· How would regulators react if wrong‑way risk suddenly had an objective, model‑determined metric instead of a discretionary one?
· Is this the sort of thing that would just be a nice theoretical footnote, or could it actually reshape how counterparty credit risk is managed in practice?
I would also like some thoughts from people in the field.
sentiment 0.97
47 days ago • u/Downtown_Job_715 • r/quant • hypothetically_if_the_correlation_parameter_in • Models • B
I'm not claiming this is true or has been done. Just curious about a hypothetical that crossed my mind while reading some old credit risk papers.
In the standard structural model for vulnerable options (Klein 1996), the price of a call written by a risky counterparty depends heavily on the correlation between the underlying asset and the counterparty's total asset value. That correlation is a free parameter. You have to estimate it, and it's notoriously hard to pin down, but it drives the credit charge.
How big of a deal would it be, if this correlation parameter could be derived endogenously from some model's own structure, instead of needing a separate historical estimation.
I'm just asking, if that were true, how much would it matter?
· Would trading desks actually change how they price or hedge OTC options?
· Would CVA calculations become more reliable, or would people still fudge it because they don't trust the inputs?
· Could it create arbitrage opportunities if the market were still pricing options using ad‑hoc correlations?
· How would regulators react if wrong‑way risk suddenly had an objective, model‑determined metric instead of a discretionary one?
· Is this the sort of thing that would just be a nice theoretical footnote, or could it actually reshape how counterparty credit risk is managed in practice?
I would also like some thoughts from people in the field.
sentiment 0.97


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