Deck 13: Monte Carlo Simulations on Trees
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Deck 13: Monte Carlo Simulations on Trees
1
What is a standard error?
Standard error is the standard deviation of an estimate (e.g. the ones obtained through Monte Carlo Simuations). It is defined as SE = σ/√N.
2
What is a prepayment model?
A prepayment model is a model that predicts the amount of prepayment to occur under different market conditions. It may include the factors mentioned before (random events, seasonality and forgetfulness) as well as others.
3
What is a Monte Carlo Simulation?
A Monte Carlo Simulation is a methodology of predicting the behavior of a variable by simulating a large number of paths under which the random component of the variable can take any value. The result is a large sample of possible values for the variable from which we can infer its expected value and other moments.
4
In the context of the prepayment of mortgages, what is seasonality?
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5
Given that simulations do not offer a closed form solution, can we still calculate a price's sensitivity to interest rate movements?
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6
Is the traditional tree methodology well-suited to price the following: a fixed-for-floating swap where LIBOR is the underlying rate.
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7
How is spot rate duration defined in Monte Carlo simulations?
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8
Why is it useful to price Mortgage Backed Securities (MBS) through Monte Carlo Simulations?
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9
Is the traditional tree methodology well-suited to price the following: an option where the owner has the right to buy a bond at its lowest price over some specified period.
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10
What is a confidence interval?
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11
What additional factors may affect the prepayment decision?
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12
How effective is pricing of Collateralized Mortgage Obligations (CMO) on a risk neutral tree? Why?
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13
What is an Asian Interest Rate Option?
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14
When pricing zero coupon bonds, are results from the Monte Carlo simu- lations on a tree the same as risk neutral pricing on a tree? Why?
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15
How does seasonality affect the prepayment option? Is the link direct?
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16
When pricing through Monte Carlo simulations on trees we are implic- itly using risk neutral probabilities, this is also so when computing the spot rate duration. Is this correct? Shouldn't measures of sensitivity be computed with risk natural probabilities?
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17
How many simulations are enough?
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18
What advantages do Monte Carlo simulatons on a tree provide when pric- ing MBS tranches?
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