Question 1
Which of the following processes is a fundamental building block for constructing semimartingales?
Question 2
In the context of semimartingale theory, what does 'finite variation' primarily refer to?
Question 3
Which of the following is a key characteristic of the predictable component in the semimartingale decomposition?
Question 4
Consider a process $X_t$ that is a semimartingale. Which of the following statements about its stochastic integral is true?
Question 5
If $M_t$ is a local martingale and $A_t$ is a predictable process of finite variation, then the sum $X_t = M_t + A_t$ is always a:
