Exam 13: Monte Carlo Simulations on Trees

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Why is it useful to price Mortgage Backed Securities (MBS) through Monte Carlo Simulations?

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Because we can incorporate additional factors affecting the prepayment decision into the pricing model.

What additional factors may affect the prepayment decision?

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Some additional factors affecting the prepayment decision are: i. Random Event. For example the sale of the house. ii. Seasonality. Homeowners tend to move much more over the summer than in the winter. iii. Forgetfulness. Some homeowners don't pay attention to the fact that interest rates are sufficently low to refinance their mortgage.

What is a Monte Carlo Simulation?

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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.

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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How is spot rate duration defined in Monte Carlo simulations?

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What is a standard error?

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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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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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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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What is a prepayment model?

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How effective is pricing of Collateralized Mortgage Obligations (CMO) on a risk neutral tree? Why?

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What is an Asian Interest Rate Option?

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In the context of the prepayment of mortgages, what is seasonality?

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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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What advantages do Monte Carlo simulatons on a tree provide when pric- ing MBS tranches?

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How many simulations are enough?

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What is a confidence interval?

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How does seasonality affect the prepayment option? Is the link direct?

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