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The m process, denoted as MA(q), is the general finite-order procedure that is an autoregressive representation of a stationary series. It is stationary in the sense that the current conditional expectation is solely a function of the current and lagged unknown shocks. This is referred to as the partial autocorrelation.
MA(q) MA(q) does not possess an unique MA polynomial, which is different from AR processes. In fact, there are many possibilities MA(q) polynomials lag operator that could be stationary and have the same asymptotic properties.
To ensure that the process is causal it is commonplace to place invertibility limitations on the MA polynomial. This ensures that only previous events (not future ones) are able to go to this web-site https://dataroommanage.blog/revolutionizing-business-security-how-modern-data-room-providers-are-setting-new-standards/ predict future events.