Quantitative Finance · Book 5 · Derivatives

Derivatives and Volatility

Derivatives and Volatility · Derivatives

21Convertibles and the Credit-Equity Link

A company whose shares trade at 30 issues a five-year bond that the holder may exchange for 2.5 shares at any time. With the share at 80 the bond is worth 202, barely more than the 200 its shares would fetch: it trades like the share. With the share at 10 it is worth 69, barely more than the 68 of a plain bond of the same company, and that plain bond has itself fallen, because a company whose share has collapsed is more likely to default. It trades on its credit. In between the convertible is both at once, and a convertible desk lives in that region. It holds the bond, sells the share against it, buys credit protection, and earns the convexity. This chapter describes the instrument and its bond floor, conversion value and convex middle. It then builds an equity-to-credit model on a finite-difference grid, derives what the desk hedges, and ends with what happened when the arbitrage’s financing disappeared.

21.1 The instrument

The chapter’s bond has a face of 100, five years to maturity, an annual coupon of 2%, and a conversion ratio of 2.5, so a conversion price of 40 against a share at 30. The issuer may call it at 100 from the end of year two, but only if the share is at or above 52, 130% of the conversion price. Rates are 3%, the dividend yield 1% and the share’s volatility 30%. The issuer’s credit spread is 300 basis points, a default intensity of 5% a year with 40% recovery of face.

The issuer’s call is the holder’s cost. Calling forces conversion when the conversion value exceeds the call price. That caps the bond’s value near the trigger and removes the time value the holder would otherwise keep. In the model below the soft call is worth 3.9 at a share price of 40 and 4.7 at 52: 115.3 and 138.6 with the call, against 119.2 and 143.3 without it.

21.2 Bond floor, conversion value and the convex region

A convertible is worth at least its bond floor, because the holder can simply keep the bond, and at least its conversion value, because it can convert. It is worth more than both, by the value of the option to choose later. Far from the conversion price one bound dominates and the convertible behaves like it: a bond on the left, the shares on the right. Near the conversion price both matter. There the convertible is convex in the share, and that convexity is what the arbitrage buys (Figure 21.1).

21.3 Equity-to-credit models

The constant-hazard picture has a flaw that matters most where the desk’s risk is largest. When a company’s share falls far, its credit usually deteriorates too, and the bond floor, on which the whole left side of the profile rests, falls with it. Models that tie default to the share price capture that.

Under the pricing measure the share must still earn the risk-free rate on average, so its drift is raised by λ(S)\lambda(S) to compensate for the jump to zero. The convertible’s value V(t,S)V(t,S) solves, in x=ln⁡Sx=\ln S,

∂tV+12σ2∂xxV+(r−q+λ(S)−12σ2)∂xV−(r+λ(S))V+λ(S) RF=0,\partial_tV+\tfrac12\sigma^2\partial_{xx}V+\bigl(r-q+\lambda(S)-\tfrac12\sigma^2\bigr)\partial_xV-\bigl(r+\lambda(S)\bigr)V+\lambda(S)\,RF=0,

between coupon dates, with the constraints V≥κSV\ge\kappa S for conversion, V≤max⁡(call price,κS)V\le\max(\text{call price},\kappa S) when the call is live, and V≥put priceV\ge\text{put price} on put dates. It is the Black–Scholes equation (chapter 3) with a killing rate and a recovery source. Ayache, Forsyth and Vetzal set out this single-equation formulation. Tsiveriotis and Fernandes had earlier split the convertible into a cash-only part discounted at the risky rate and an equity part discounted at the risk-free rate. The build solves the equation by Crank–Nicolson on a 500-point log-price grid (finite differences, One Quant Book 4, chapter 27, and chapter 22 of this book). It applies the constraints after each step, the same projection that priced American options in chapter 6. Andersen and Buffum showed that naive calibration of such models can bias prices significantly, and that the hazard function should be calibrated jointly to the issuer’s credit curve and to its options.

21.4 What a convertible desk hedges

The classic position is long the convertible and short delta shares. Hedged that way it profits from realised volatility above the implied volatility in its price (chapter 4), as a long option does. It keeps the credit risk of the bond floor and the risk of the model’s delta. Desks hedge the credit with a credit default swap (Book 2, chapter 23) sized to the convertible’s credit sensitivity, and they worry most about the combined scenario.

The model’s choice of delta is itself a hedge decision. An equity-to-credit delta is larger, because it counts the credit channel through which a falling share lowers the bond floor, and so it protects more in the scenario that hurts. A desk running the constant-hazard delta is implicitly long credit through its equity hedge. It is also exposed to the jump to default, which a delta and a CDS sized for small moves hedge only in part (One Quant Book 6, chapter 13, and the structural models of chapter 14 there).

21.5 Convertible arbitrage and its crises

The arbitrage earns its return from the difference between a model’s value and a market price, and from the convexity it holds. It is financed: the fund borrows against the convertibles and lends the shares it sells through its prime broker. That financing is the arbitrage’s weak point. When many funds hold the same bonds and must sell at the same time, the prices fall together, away from any model’s value. The hedges then protect against the wrong risk.

Mitchell, Pedersen and Pulvino’s “Slow moving capital” (2007) and Mitchell and Pulvino’s study of 2008 (2012) examine what happens then. In their account, hedge funds held up to 75% of the convertible market; in early 2005 large investors began to withdraw capital from convertible-arbitrage funds, more than 20% of it in the first quarter (a figure they take from the Barclay Group), and the funds’ forced sales pushed convertibles below their fundamental values. For 2008, Mitchell and Pulvino describe the mechanism. The imminent failure of large prime brokers abruptly cut the leverage available to hedge funds, seemingly long-term financing became short-term, and relative-value funds could no longer hold similar assets at similar prices. For a model this means a scenario the stress example above does not contain: the convertible cheapens relative to its own model value while the share and credit barely move. No hedge in the share or the CDS covers it. Its protection is lower leverage and financing that cannot be withdrawn overnight.

21.6 Tutorial: a convertible on a grid

Goal. Price the chapter’s convertible under a constant and an equity-to-credit hazard, compute its delta, gamma and credit sensitivity, and stress the hedged position. End state: the four figures and the numbers of the weekend problem.

  1. The operator: drift raised by the hazard, killing at r+λr+\lambda, recovery as a source:

  2. The constraints after each step: coupons, puts, conversion and the soft call:

  3. Run dv_convertible.table(), credit_sensitivity(), stress(-0.20, 300), call_effect() and fig_convertible.py.

What to change next. Set p=2p=2 and recompute the delta at 20; add an investor put at 100 in year three and see the bond floor move; price the call with a hard (unconditional) call from year two.

21.7 Build: the convertible pricer

Purpose. The miniature firm’s convertible-bond pricer and risk engine: value, delta, gamma and credit sensitivity of each bond in its convertible book, under a hazard that may depend on the share.

Interface. Convertible(face, maturity, coupon, freq, ratio, recovery, call_start, call_price, call_trigger, puts); power_hazard(lam0, s0, p, cap); price_grid(cb, r, q, vol, hazard, s_min, s_max, nx, steps_per_year) -> (spots, values); value_at; greeks(s0, grid) -> value, delta, gamma; bond_floor(cb, r, spread).

Rules. The hazard function is calibrated to the issuer’s credit curve before any convertible is priced; conversion, call and put are applied after every time step; credit sensitivity is reported with the equity delta, and the stress of share and spread together is run daily.

Acceptance tests. code/firm/convertible/tests/: without conversion and hazard the price is the bond; with a constant hazard, the closed form with recovery of face; the value exceeds floor and parity and rises with the share; the call lowers and a put raises the value; the credit link raises the delta at low share prices.

Stretch. The Tsiveriotis–Fernandes split; a hazard calibrated to a CDS curve and to the issuer’s options; dividends and call notice periods; the contingent convertibles of Book 2, chapter 26.

Sources and further reading

  • K. Tsiveriotis and C. Fernandes, “Valuing convertible bonds with credit risk”, Journal of Fixed Income 8(2) (1998) 95–102.
  • E. Ayache, P. A. Forsyth and K. R. Vetzal, “Valuation of convertible bonds with credit risk”, Journal of Derivatives 11(1) (2003) 9–29.
  • L. Andersen and D. Buffum, “Calibration and implementation of convertible bond models”, Journal of Computational Finance 7 (2003) 1–34.
  • M. Mitchell, L. H. Pedersen and T. Pulvino, “Slow moving capital”, American Economic Review 97(2) (2007) 215–220.
  • M. Mitchell and T. Pulvino, “Arbitrage crashes and the speed of capital”, Journal of Financial Economics 104(3) (2012) 469–490.

21.8 Exercises

21.9 Problem: Equity Down, Credit Wider

21.10 Interview questions

Terms defined in this chapter

See all 2333 terms in the glossary