Expectation of a product of Brownian Motions

In summary, the question is asking for the expected value of the product of three standard Brownian motions at different time intervals. If the Brownian motions are truly independent, then the expected value can be calculated using the property that E[XY] = E[X]E[Y]. If there is overlap in the time intervals, the problem can be decomposed into non-overlapping intervals and the overlapping parts can be taken care of separately.
  • #1
jamesa00789
24
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Let Bt1, Bt2 and Bt3 be standard Brownian motions with ~N(0,1).

Then what is E[Bt1.Bt2.Bt3] ?

Any help would be much appreciated.
 
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  • #2
jamesa00789 said:
Let Bt1, Bt2 and Bt3 be standard Brownian motions with ~N(0,1).

Then what is E[Bt1.Bt2.Bt3] ?

Any help would be much appreciated.

Hey jamesa00789 and welcome to the forums.

What are the conditions for each BM? Are they independent? Do they refer to different intervals for the same process? Maybe some overlap in intervals?

If they are truly independent you can use the property that E[XY] = E[X]E[Y] and take it from there.
 
  • #3
Yes they are of the same standard brownian motion at different time intervals.
 
  • #4
jamesa00789 said:
Yes they are of the same standard brownian motion at different time intervals.

If they are are at non-overlapping intervals, then use the definition of the Brownian motion. If they are over-lapping, then decompose it into processes that are non-overlapping and take care of parts that are overlapping.

Using this, the fact that E[XY] = E[X]E[Y], and the definition of BM, what do you get?
 
  • #5


I would like to clarify that Brownian motion is a random process, meaning that the values it takes at any given time are unpredictable. Therefore, the expectation of a product of Brownian motions cannot be determined with certainty. However, we can use mathematical tools to estimate the expected value.

The expected value of a product of Brownian motions can be calculated using the properties of normal distributions. Since Bt1, Bt2, and Bt3 are standard Brownian motions, they all have a mean of 0 and a variance of 1. This means that their product would follow a normal distribution with a mean of 0 and a variance of 1.

Using the properties of normal distributions, we can calculate the expected value of the product by multiplying the means of each Brownian motion. In this case, the expected value would be 0, since 0 multiplied by any number is still 0.

In summary, the expected value of Bt1.Bt2.Bt3 is 0, but it is important to note that this is an estimated value and not a certain one. The actual value could vary due to the random nature of Brownian motion.
 

1. What is the "expectation" of a product of Brownian motions?

The "expectation" of a product of Brownian motions is a statistical measure that represents the average value that can be expected from the product of multiple Brownian motions. It is calculated by taking the product of the expected values of each individual Brownian motion.

2. How is the expectation of a product of Brownian motions related to the concept of randomness?

The expectation of a product of Brownian motions is related to the concept of randomness because Brownian motions are inherently random processes. The expectation is a way to quantify the average behavior of these random processes and make predictions about their outcomes.

3. Can the expectation of a product of Brownian motions be negative?

Yes, the expectation of a product of Brownian motions can be negative. This means that on average, the product of the Brownian motions is expected to be less than zero. However, it is also possible for the expectation to be positive or zero, depending on the specific values and distributions of the individual Brownian motions.

4. How is the expectation of a product of Brownian motions used in financial modeling?

The expectation of a product of Brownian motions is commonly used in financial modeling to predict the behavior of stock prices and other financial assets. It is used to calculate the expected returns and risks associated with different investment strategies, and can also be used to simulate the future performance of a portfolio.

5. What are some limitations of using the expectation of a product of Brownian motions in scientific studies?

One limitation of using the expectation of a product of Brownian motions is that it assumes the individual Brownian motions are independent of each other, which may not always be the case in real-world scenarios. Additionally, this measure may not accurately capture the full range of possible outcomes and may not be applicable to all types of random processes.

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