About a year ago, the financial world witnessed another “Lehman
moment”. It was the “near collapse” of Deutsche Bank (DB). The
financial press quickly pointed out the main reason for DB’s plunging
stock price. John Glover wrote
Yield-starved investors bought $102 billion of the contingent
convertible bonds, securities created to help troubled banks hang onto
cash in times of stress by skipping coupon payments without defaulting
and converting the debt to equity or writing it down. Even though
neither of those has yet happened, investors are already feeling the
pain, as yields on Deutsche Bank AG’s 4.6 billion euros ($5.2 billion)
of CoCos have soared and its shares have plummeted.
However, what exactly is a contingent convertible bond ?
According to Wikipedia:
A contingent convertible bond is defined with two elements: the
trigger and the conversion rate. While the trigger is the pre-specified
event causing the conversion process, the conversion rate is the actual
rate at which debt is swapped for equity. The trigger, which can be bank
specific, systemic, or dual, has to be defined in a way ensuring
automatic and inviolable conversion. A possibility of a dynamic
sequence exists—conversion occurs at different pre-specified thresholds
of the trigger event. Since the trigger can be subject to accounting or
market manipulation, a commonly used measure has been the market’s
measure of bank’s solvency. The design of the trigger and the conversion
rate are critical in the instrument’s effectiveness
A CoCo bond might appear to be an attractive investment, but from a
quantitative point of view, modeling such a contingent conversion
feature is far from trivial. As disscussed in this post, pricing even a simple conversion feature would require serious mathematical modeling and programming efforts.
Usually the 20/30 contingent conversion can be modeled somewhat
explicitly on the PDE lattice by introducing an extra state variable
which tracks whether the condition was satisfied in the previous
monitoring quarter. However, the soft call feature is often more
material as it is in the interest of the issuer to call the bond as soon
as the value equals the call price (plus accrued interest).
Readers who would like to learn more about the mathematical aspects
of pricing a contingent convertible bond can start with the following
articles:
Approximating the Embedded M Out of N Day Soft-Call Option of a Convertible Bond: An Auxiliary Reversed Binomial Tree Method
Valuing convertible bonds with 20-of-30 soft call provision
Back to the Future: An Approximate Solution for N Out of M Soft-Call Option
Convertible Bond Valuation: 20 Out Of 30 Day Soft-call
The post What Is a Contingent Convertible Bond and How to Price It ? appeared first on Harbourfront Technologies
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