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jamesa00789
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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.
Then what is E[Bt1.Bt2.Bt3] ?
Any help would be much appreciated.
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.
jamesa00789 said:Yes they are of the same standard brownian motion at different time intervals.
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.
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.
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.
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.
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.