Question

The equation of a random walk model WITHOUT drift is best represented as:

A Yₜ = μ + Yₜ₋₁ + εₜ, where μ ≠ 0 is the drift term and εₜ ~ WN(0, σ²)
B Yₜ = Yₜ₋₁ + εₜ, where εₜ ~ WN(0, σ²); the process has no deterministic trend and has a unit root
C Yₜ = α + βt + εₜ, where the trend is deterministic and the process is stationary around it
D Yₜ = ρYₜ₋₁ + εₜ, where |ρ| < 1, making the process mean-reverting and stationary
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