Autoregressive moving average models have a number of advantages including simplicity. Here’s how to use an ARMA model with InfluxDB. An ARMA or autoregressive moving average model is a forecasting ...

ARMA models are suited for volatility trading and outperform all of our previously tested volatility forecasting models. Optimizing ARMA models for the Maximum Sharpe Ratio yields better out-of-sample ...

This is a preview. Log in through your library . Abstract A rigorous statement of the idea of linear regression is used to provide a theoretical justification for approximating a stationary time ...

We consider the estimation problem for the parameter ϑ 0 of a stationary ARMA (p, q) process, with independent and identically, but not necessary normally distributed errors. First we prove local ...

Continuous-Time Autoregressive Moving Average (CARMA) processes extend the classical discrete-time ARMA framework to continuous time, offering a flexible modelling approach for phenomena where ...

Nonlinear estimation algorithms are required for obtaining estimates of the parameters of a regression model with innovations having an ARMA structure. The three estimation methods employed by the ...

A description of each TIMSAC package follows. Each description includes a list of the programs provided in the TIMSAC version. analyzes and controls the feedback systems (for example, cement kiln ...