Post on 14-Dec-2015
transcript
The outline of our Project
by Journal of Derivatives in Fall 1994
Where to use it? if there is a function x = f(r) of the short rate r that follows a mean reverting arithmetic process
Our project: Hull and White trinomial tree building procedure Excel Implementation
Theoretical background
Short Rate (or instantaneous rate) The interest rate charged (usually in some particular market) for
short term loans.
Bonds, option & derivative prices can depend only on the process followed by r (in risk neutral world)
t - t+Δt investor earn on average r(t) Δt
Payoff:
ttTr feE )(ˆˆ
Theoretical background
Short rate And we define the price at time t of zero-coupon bond that pays off $1at time T
by:
If R (t,T) is the continuously compounded interest rate at time t for a term of T-t:
Combine these formulas above:
This equation enables the term structure of interest rates at any given time to be obtained from the value of r at that time and risk-neutral process for r.
And we define the price at time t of zero-coupon bond that pays off $1at time T by:
This equation enables the term structure of interest rates at any given time to be obtained from the value of r at that time and risk-neutral process for r.
)(ˆˆ, tTreETtP
))(,(, tTTtReTtP
)(ˆˆln1
, tTreEtT
TtR
Vasicek model
How is related to the Hull/White model? was further extended in the Hull-White model
Asumes short rate is normal distributed Mean reverting process (under Q)
Drift in interest rate will disappear if a : how fast the short rate will reach the long-term mean value b: the long run equilibrium value towards which the interest rate
reverts Term structure can be determined as a function of r(t)
once a, b and σ are chosen.
r = θ = b/a
Ho-Lee model
How is related to the Hull/White model? Ho-Lee model is a particular case of Hull & White model with a=0
Assumes a normally distributed short-term rate SR drift depends on time
makes arbitrage-free with respect to observed prices Does not incorporate mean reversion Short rate dynamics:
σ (instantaneous SD) constant θ(t) defines the average direction that r moves at time t
Ho-Lee model
Market price of risk proves to be irrelevant when pricing IR derivatives
Average direction of the short rate will be moving in the future is almost equal to the slope of instantaneous forward curve
Hull-White One-factor model
No-arbitrage yield curve model Parameters are consistent with bond prices implied in the zero coupon
yield curve In absence of default risk, bond price must pull towards par as it
approaches maturity. Assumes SR is normally distributed & subject to mean reversion
MR ensures consistency with empirical observation: long rates are less volatile than short rates.
HWM generalized by Vasicek θ(t) deterministic function of time which calibrated against the
theoretical bond price V(t) Brownian motion under the risk-neutral measure a speed of mean-reversion
Volatility (estimation and structure)
Input parameters for HWM a : relative volatility of LR and SR σ : volatility of the short rate
Not directly provided by the market (inferred from data of IR derivatives)
Trinomial tree example
Call option, two step, Δt=1, strike price =0.40. Our account amount $100. Probabilities: 0.25,0.5 & 0.25
Payoff at the end of second time step:
Rollback precedure as: (pro1*valu1+...+pro3*valu3)e-rΔt
max[100( 0.40),0]R
0.00% 0.00% E 4.40%(4)
0.00% B 3.81%(0.963) F 3.88%
A 3.23%(0.233) C 3.29% G 3.36%
0.00% D 2.76% H 2.83%
0.00% 0.00% I 2.31%
0.00% 0.00% 0.00%
Trinomial tree example
Alternative branching possibilities
The pattern upward is useful for incorporating mean reversion when interest rates are very low and Downward is for interest rates are very high.
How to build a tree?
HWM for instantaneous rate r:
First Step assumptions: all time steps are equal in size Δt rate of Δt,(R) follows the same procedure:
New variable called R* (initial value 0)
How to build a tree? : spacing between interest rates on the tree
for error minimization.
Define branching techniques Upwards a << 0 Downwards a >> 0 Normal a = 0
Define probabilities(depends on branching) probabilities are positive as long as:
Straight / Normal Branching
How to build a tree?
Second step convert R* into R tree by displacing the nodes on the R*-tree
Define αi as α(iΔt),Qi,j as the present value of a security that payoff $1 if node (I,j) is reached and 0.Otherwise,forward induction
With continuously compounded zero rates in the first stage Q0,0 is 1
α0=3.824%
α0 right price for a zero-coupon bond maturing at time Δt
Q1,1=probability *e-rΔt=0.1604 Q1,0=0.6417 and Q1,-1=0.1604.
Maturity Rate(%)0.5 3.431.0 3.8241.5 4.1832.0 4.5122.5 4.8123.0 5.086
tRtRt *
How to build a tree?
Bond price(initial structure) = e-0.04512x2=0.913
Solving for alfa1= 0.05205 It means that the central node at time Δt in the tree for R corresponds to an interest
rate of 5.205%
Using the same method, we get: Q2,2=0.0182,Q2,0=0.4736,Q2,-1=0.2033 and Q2,-2=0.0189.
Calculate α2,Q3,j’s will be found as well. We can then find α3 and so on…
( 1 0.1732) 1 ( 1 0.1732)1,1 1,0 1. 1Q e Q e Q e
( 1 0.1732) 1 ( 1 0.1732)0.1604 0.6417 0.1604 0.9137e e e