Foreign Exchange Traders often buy foreign currency in the hope of making money when the currency’s value changes. For example, on April 10, 2018, one U.S dollar could purchase 0.8101 euro, and one euro could purchase 132.317 yen. Let f ( x ) represent the number of euros you can buy x dollars, let g ( x ) represent the number of yen you can buy with x euros. Find a function that relates dollars to tutus Find a function that relates twos to yen. Use the results of parts a) and b) to find a function that relates dollars to yen. That is, find ( g ∘ f ) ( x ) . What is ( g ∘ f ) ( 1000 ) ?
Foreign Exchange Traders often buy foreign currency in the hope of making money when the currency’s value changes. For example, on April 10, 2018, one U.S dollar could purchase 0.8101 euro, and one euro could purchase 132.317 yen. Let f ( x ) represent the number of euros you can buy x dollars, let g ( x ) represent the number of yen you can buy with x euros. Find a function that relates dollars to tutus Find a function that relates twos to yen. Use the results of parts a) and b) to find a function that relates dollars to yen. That is, find ( g ∘ f ) ( x ) . What is ( g ∘ f ) ( 1000 ) ?
Solution Summary: The author explains the function that relates dollars to euros, where f(x) is the number of euros buy with x dollars.
Foreign Exchange Traders often buy foreign currency in the hope of making money when the currency’s value changes. For example, on April 10, 2018, one U.S dollar could purchase 0.8101 euro, and one euro could purchase 132.317 yen. Let
f
(
x
)
represent the number of euros you can buy
x
dollars, let
g
(
x
)
represent the number of yen you can buy with
x
euros.
Find a function that relates dollars to tutus
Find a function that relates twos to yen.
Use the results of parts a) and b) to find a function that relates dollars to yen. That is, find
(
g
∘
f
)
(
x
)
.
The OU process studied in the previous problem is a common model for interest rates.
Another common model is the CIR model, which solves the SDE:
dX₁ = (a = X₁) dt + σ √X+dWt,
-
under the condition Xoxo. We cannot solve this SDE explicitly.
=
(a) Use the Brownian trajectory simulated in part (a) of Problem 1, and the Euler
scheme to simulate a trajectory of the CIR process. On a graph, represent both the
trajectory of the OU process and the trajectory of the CIR process for the same
Brownian path.
(b) Repeat the simulation of the CIR process above M times (M large), for a large
value of T, and use the result to estimate the long-term expectation and variance
of the CIR process. How do they compare to the ones of the OU process?
Numerical application: T = 10, N = 500, a = 0.04, x0 = 0.05, σ = 0.01, M = 1000.
1
(c) If you use larger values than above for the parameters, such as the ones in Problem
1, you may encounter errors when implementing the Euler scheme for CIR. Explain
why.
#8 (a) Find the equation of the tangent line to y = √x+3 at x=6
(b) Find the differential dy at y = √x +3 and evaluate it for x=6 and dx = 0.3
Q.2 Q.4 Determine ffx dA where R is upper half of the circle shown below.
x²+y2=1
(1,0)
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