h1(t) ¤(t) y(t) -h2(t) Figure 1: System for applying a trend-following filter. 1estion 1 A trend-following filter is often used in quantitative finance to evaluate a trend in a signal. trend-following trading system is built around the idea that if the price of assets is increasing en it is more likely to continue to increase.The filter applies two exponentially weighted moving erage filters with different time constants and then calculates the differences of the outputs. In ance, this is calculated on discrete-time signals. We will consider a similar filter in continuous ne. We apply two filters to the input signal r(t) to derive yı(t) and y2(t) and then subtract the put of one from the other, so that y(t) = y1 (t) – y2(t). The filters have impulse responses (t) = 2a exp(-2at)u(t) where h2(t) = a exp(-at)u(t) for some positive constant a. Figure 1 ovides a diagram of the system. I apply an input x(t) = 5u(t) exp(-3t) to the trend-following filter. a) Derive X(s), the Laplace transform of this signal, using the definition of the Laplace trans- form. Specify the region of convergence. b) For this input, what is Y(s), the output of the system in the Laplace domain? c) What is the region of convergence of Y(s)?

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h1(t)
x(t)
y(t)
-h2(t)
Figure 1: System for applying a trend-following filter.
Question 1
A trend-following filter is often used in quantitative finance to evaluate a trend in a signal.
A trend-following trading system is built around the idea that if the price of assets is increasing
then it is more likely to continue to increase.The filter applies two exponentially weighted moving
average filters with different time constants and then calculates the differences of the outputs. In
finance, this is calculated on discrete-time signals. We will consider a similar filter in continuous
time.
We apply two filters to the input signal x(t) to derive y1(t) and y2(t) and then subtract the
output of one from the other, so that y(t) = yı(t) – y2(t). The filters have impulse responses
h1(t)
provides a diagram of the system.
I apply an input x(t) = 5u(t) exp(-3t) to the trend-following filter.
2a exp(-2at)u(t) where h2(t)
a exp(-at)u(t) for some positive constant a. Figure 1
a) Derive X(s), the Laplace transform of this signal, using the definition of the Laplace trans-
form. Specify the region of convergence.
b) For this input, what is Y (s), the output of the system in the Laplace domain?
c) What is the region of convergence of Y(s)?
d) What is the response y(t)?
e) Is the system H(s) = H1(s) – H2(s) linear? Demonstrate why or why not.
f) Is the system time invariant? Demonstrate why or why not.
g) Is the system causal? Explain why or why not?
Transcribed Image Text:h1(t) x(t) y(t) -h2(t) Figure 1: System for applying a trend-following filter. Question 1 A trend-following filter is often used in quantitative finance to evaluate a trend in a signal. A trend-following trading system is built around the idea that if the price of assets is increasing then it is more likely to continue to increase.The filter applies two exponentially weighted moving average filters with different time constants and then calculates the differences of the outputs. In finance, this is calculated on discrete-time signals. We will consider a similar filter in continuous time. We apply two filters to the input signal x(t) to derive y1(t) and y2(t) and then subtract the output of one from the other, so that y(t) = yı(t) – y2(t). The filters have impulse responses h1(t) provides a diagram of the system. I apply an input x(t) = 5u(t) exp(-3t) to the trend-following filter. 2a exp(-2at)u(t) where h2(t) a exp(-at)u(t) for some positive constant a. Figure 1 a) Derive X(s), the Laplace transform of this signal, using the definition of the Laplace trans- form. Specify the region of convergence. b) For this input, what is Y (s), the output of the system in the Laplace domain? c) What is the region of convergence of Y(s)? d) What is the response y(t)? e) Is the system H(s) = H1(s) – H2(s) linear? Demonstrate why or why not. f) Is the system time invariant? Demonstrate why or why not. g) Is the system causal? Explain why or why not?
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