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Puttable Bond and
Vaulation
Dmitry Popov
FinPricing
http://www.finpricing.com
Puttable Bond
Summary
◆ Puttable Bond Definition
◆ The Advantages of Puttable Bonds
◆ Puttable Bond Payoffs
◆ Valuation Model Selection Criteria
◆ LGM Model
◆ LGM Assumption
◆ LGM calibration
◆ Valuation Implementation
◆ A real world example
Puttable Bond
Puttable Bond Definition
◆ A puttable bond is a bond in which the investor has the right to sell the
bond back to the issuer at specified times (puttable dates) for a
specified price (put price).
◆ At each puttable date prior to the bond maturity, the investor may sell
the bond back to its issuer and get the investment money back.
◆ The underlying bonds can be fixed rate bonds or floating rate bonds.
◆ A puttable bond can therefore be considered a vanilla underlying bond
with an embedded Bermudan style option.
◆ Puttable bonds protect investors. Therefore, a puttable bond normally
pay the investor a lower coupon than a non-callable bond.
Puttable bond
Advantages of Puttable Bond
◆ Although a puttable bond is a lower income to the investor and an
uncertainty to the issuer comparing to a regular bond, it is actually
quite attractive to both issuers and investors.
◆ For investors, puttable bonds allow them to reduce interest costs at a
future date should rate increase.
◆ For issuers, puttable bonds allow them to pay a lower interest rate of
return until the bonds are sold back.
◆ If interest rates have increased since the issuer first issues the bond,
the investor is like to put its current bond and reinvest it at a higher
coupon.
Puttable Bond
Puttable Bond Payoffs
◆ At the bond maturity T, the payoff of a Puttable bond is given by
𝑉𝑝 𝑡 =
𝐹 + 𝐶 𝑖𝑓 𝑛𝑜𝑡 𝑝𝑡𝑡𝑒𝑑
max(𝑃𝑝, 𝐹 + 𝐶) 𝑖𝑓 𝑝𝑢𝑡𝑡𝑒𝑑
where F – the principal or face value; C – the coupon; 𝑃𝑝 – the call price; min (x, y) –
the minimum of x and y
◆ The payoff of the Puttable bond at any call date 𝑇𝑖 can be expressed as
𝑉𝑝 𝑇𝑖 =
𝑉 𝑇 𝑖
𝑖𝑓 𝑛𝑜𝑡 𝑝𝑢𝑡𝑡𝑒𝑑
max 𝑃𝑝, 𝑉 𝑇 𝑖
𝑖𝑓 𝑝𝑢𝑡𝑡𝑒𝑑
where 𝑉 𝑇 𝑖
– continuation value at 𝑇𝑖
Puttable Bond
Model Selection Criteria
◆ Given the valuation complexity of puttable bonds, there is no closed
form solution. Therefore, we need to select an interest rate term
structure model and a numerical solution to price them numerically.
◆ The selection of interest rate term structure models
◆ Popular interest rate term structure models:
Hull-White, Linear Gaussian Model (LGM), Quadratic Gaussian Model (QGM),
Heath Jarrow Morton (HJM), Libor Market Model (LMM).
◆ HJM and LMM are too complex.
◆ Hull-White is inaccurate for computing sensitivities.
◆ Therefore, we choose either LGM or QGM.
Puttable Bond
Model Selection Criteria (Cont)
◆ The selection of numeric approaches
◆ After selecting a term structure model, we need to choose a numerical
approach to approximate the underlying stochastic process of the model.
◆ Commonly used numeric approaches are tree, partial differential equation
(PDE), lattice and Monte Carlo simulation.
◆ Tree and Monte Carlo are notorious for inaccuracy on sensitivity calculation.
◆ Therefore, we choose either PDE or lattice.
◆ Our decision is to use LGM plus lattice.
Puttable Bond
LGM Model
◆ The dynamics
𝑑𝑋 𝑡 = 𝛼 𝑡 𝑑𝑊
where X is the single state variable and W is the Wiener process.
◆ The numeraire is given by
𝑁 𝑡, 𝑋 = 𝐻 𝑡 𝑋 + 0.5𝐻2
𝑡 𝜁 𝑡 /𝐷(𝑡)
◆ The zero coupon bond price is
𝐵 𝑡, 𝑋; 𝑇 = 𝐷 𝑇 𝑒𝑥𝑝 −𝐻 𝑡 𝑋 − 0.5𝐻2
𝑡 𝜁 𝑡
Puttable Bond
LGM Assumption
◆ The LGM model is mathematically equivalent to the Hull-White model
but offers
◆ Significant improvement of stability and accuracy for calibration.
◆ Significant improvement of stability and accuracy for sensitivity calculation.
◆ The state variable is normally distributed under the appropriate
measure.
◆ The LGM model has only one stochastic driver (one-factor), thus
changes in rates are perfected correlated.
Puttable Bond
LGM calibration
◆ Match today’s curve
At time t=0, X(0)=0 and H(0)=0. Thus Z(0,0;T)=D(T). In other words, the
LGM automatically fits today’s discount curve.
◆ Select a group of market swaptions.
◆ Solve parameters by minimizing the relative error between the market
swaption prices and the LGM model swaption prices.
Puttable Bond
Valuation Implementation
◆ Calibrate the LGM model.
◆ Create the lattice based on the LGM: the grid range should cover at least
3 standard deviations.
◆ Calculate the payoff of the puttable bond at each final note.
◆ Conduct backward induction process iteratively rolling back from final
dates until reaching the valuation date.
◆ Compare exercise values with intrinsic values at each exercise date.
◆ The value at the valuation date is the price of the puttable bond.
Puttable Bond
A real world example
Bond specification Puttable schedule
Buy Sell Buy Put Price Notification Date
Calendar NYC 100 1/26/2015
Coupon Type Fixed 100 7/25/2018
Currency USD
First Coupon Date 7/30/2013
Interest Accrual
Date
1/30/2013
Issue Date 1/30/2013
Last Coupon Date 1/30/2018
Maturity Date 7/30/2018
Settlement Lag 1
Face Value 100
Pay Receive Receive
Day Count dc30360
Payment Frequency 6
Coupon 0.01
Thanks!

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Pricing Puttable Bond

  • 1. Puttable Bond and Vaulation Dmitry Popov FinPricing http://www.finpricing.com
  • 2. Puttable Bond Summary ◆ Puttable Bond Definition ◆ The Advantages of Puttable Bonds ◆ Puttable Bond Payoffs ◆ Valuation Model Selection Criteria ◆ LGM Model ◆ LGM Assumption ◆ LGM calibration ◆ Valuation Implementation ◆ A real world example
  • 3. Puttable Bond Puttable Bond Definition ◆ A puttable bond is a bond in which the investor has the right to sell the bond back to the issuer at specified times (puttable dates) for a specified price (put price). ◆ At each puttable date prior to the bond maturity, the investor may sell the bond back to its issuer and get the investment money back. ◆ The underlying bonds can be fixed rate bonds or floating rate bonds. ◆ A puttable bond can therefore be considered a vanilla underlying bond with an embedded Bermudan style option. ◆ Puttable bonds protect investors. Therefore, a puttable bond normally pay the investor a lower coupon than a non-callable bond.
  • 4. Puttable bond Advantages of Puttable Bond ◆ Although a puttable bond is a lower income to the investor and an uncertainty to the issuer comparing to a regular bond, it is actually quite attractive to both issuers and investors. ◆ For investors, puttable bonds allow them to reduce interest costs at a future date should rate increase. ◆ For issuers, puttable bonds allow them to pay a lower interest rate of return until the bonds are sold back. ◆ If interest rates have increased since the issuer first issues the bond, the investor is like to put its current bond and reinvest it at a higher coupon.
  • 5. Puttable Bond Puttable Bond Payoffs ◆ At the bond maturity T, the payoff of a Puttable bond is given by 𝑉𝑝 𝑡 = 𝐹 + 𝐶 𝑖𝑓 𝑛𝑜𝑡 𝑝𝑡𝑡𝑒𝑑 max(𝑃𝑝, 𝐹 + 𝐶) 𝑖𝑓 𝑝𝑢𝑡𝑡𝑒𝑑 where F – the principal or face value; C – the coupon; 𝑃𝑝 – the call price; min (x, y) – the minimum of x and y ◆ The payoff of the Puttable bond at any call date 𝑇𝑖 can be expressed as 𝑉𝑝 𝑇𝑖 = 𝑉 𝑇 𝑖 𝑖𝑓 𝑛𝑜𝑡 𝑝𝑢𝑡𝑡𝑒𝑑 max 𝑃𝑝, 𝑉 𝑇 𝑖 𝑖𝑓 𝑝𝑢𝑡𝑡𝑒𝑑 where 𝑉 𝑇 𝑖 – continuation value at 𝑇𝑖
  • 6. Puttable Bond Model Selection Criteria ◆ Given the valuation complexity of puttable bonds, there is no closed form solution. Therefore, we need to select an interest rate term structure model and a numerical solution to price them numerically. ◆ The selection of interest rate term structure models ◆ Popular interest rate term structure models: Hull-White, Linear Gaussian Model (LGM), Quadratic Gaussian Model (QGM), Heath Jarrow Morton (HJM), Libor Market Model (LMM). ◆ HJM and LMM are too complex. ◆ Hull-White is inaccurate for computing sensitivities. ◆ Therefore, we choose either LGM or QGM.
  • 7. Puttable Bond Model Selection Criteria (Cont) ◆ The selection of numeric approaches ◆ After selecting a term structure model, we need to choose a numerical approach to approximate the underlying stochastic process of the model. ◆ Commonly used numeric approaches are tree, partial differential equation (PDE), lattice and Monte Carlo simulation. ◆ Tree and Monte Carlo are notorious for inaccuracy on sensitivity calculation. ◆ Therefore, we choose either PDE or lattice. ◆ Our decision is to use LGM plus lattice.
  • 8. Puttable Bond LGM Model ◆ The dynamics 𝑑𝑋 𝑡 = 𝛼 𝑡 𝑑𝑊 where X is the single state variable and W is the Wiener process. ◆ The numeraire is given by 𝑁 𝑡, 𝑋 = 𝐻 𝑡 𝑋 + 0.5𝐻2 𝑡 𝜁 𝑡 /𝐷(𝑡) ◆ The zero coupon bond price is 𝐵 𝑡, 𝑋; 𝑇 = 𝐷 𝑇 𝑒𝑥𝑝 −𝐻 𝑡 𝑋 − 0.5𝐻2 𝑡 𝜁 𝑡
  • 9. Puttable Bond LGM Assumption ◆ The LGM model is mathematically equivalent to the Hull-White model but offers ◆ Significant improvement of stability and accuracy for calibration. ◆ Significant improvement of stability and accuracy for sensitivity calculation. ◆ The state variable is normally distributed under the appropriate measure. ◆ The LGM model has only one stochastic driver (one-factor), thus changes in rates are perfected correlated.
  • 10. Puttable Bond LGM calibration ◆ Match today’s curve At time t=0, X(0)=0 and H(0)=0. Thus Z(0,0;T)=D(T). In other words, the LGM automatically fits today’s discount curve. ◆ Select a group of market swaptions. ◆ Solve parameters by minimizing the relative error between the market swaption prices and the LGM model swaption prices.
  • 11. Puttable Bond Valuation Implementation ◆ Calibrate the LGM model. ◆ Create the lattice based on the LGM: the grid range should cover at least 3 standard deviations. ◆ Calculate the payoff of the puttable bond at each final note. ◆ Conduct backward induction process iteratively rolling back from final dates until reaching the valuation date. ◆ Compare exercise values with intrinsic values at each exercise date. ◆ The value at the valuation date is the price of the puttable bond.
  • 12. Puttable Bond A real world example Bond specification Puttable schedule Buy Sell Buy Put Price Notification Date Calendar NYC 100 1/26/2015 Coupon Type Fixed 100 7/25/2018 Currency USD First Coupon Date 7/30/2013 Interest Accrual Date 1/30/2013 Issue Date 1/30/2013 Last Coupon Date 1/30/2018 Maturity Date 7/30/2018 Settlement Lag 1 Face Value 100 Pay Receive Receive Day Count dc30360 Payment Frequency 6 Coupon 0.01