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LQM Registry / econometrics

VAR(1) Multivariate Econometric Model

Multivariate VAR(1) estimation by OLS with residual covariance, per-series diagnostics and recursive multi-step forecasts.

Model keylq.econometrics.var1
Version1.0.0
Runtimepython-process
Model contract

Inputs are explicit.

{
    "type": "object",
    "required": [
        "series"
    ],
    "properties": {
        "series": {
            "type": "array",
            "minItems": 12
        }
    }
}
Output contract

Outputs are explicit.

{
    "type": "object",
    "required": [
        "intercept",
        "lag1_coefficients",
        "residual_covariance",
        "forecast",
        "rmse_by_series"
    ]
}
Default parameters
{
    "horizon": 5,
    "ridge": 1.0000000000000000209225608301284726753266340892878361046314239501953125e-8
}
Example input
{
    "series": [
        [
            1,
            2
        ],
        [
            1.1999999999999999555910790149937383830547332763671875,
            2.100000000000000088817841970012523233890533447265625
        ],
        [
            1.350000000000000088817841970012523233890533447265625,
            2.25
        ],
        [
            1.5,
            2.29999999999999982236431605997495353221893310546875
        ],
        [
            1.6999999999999999555910790149937383830547332763671875,
            2.45000000000000017763568394002504646778106689453125
        ],
        [
            1.850000000000000088817841970012523233890533447265625,
            2.600000000000000088817841970012523233890533447265625
        ],
        [
            2,
            2.70000000000000017763568394002504646778106689453125
        ],
        [
            2.149999999999999911182158029987476766109466552734375,
            2.850000000000000088817841970012523233890533447265625
        ],
        [
            2.29999999999999982236431605997495353221893310546875,
            3
        ],
        [
            2.5,
            3.100000000000000088817841970012523233890533447265625
        ],
        [
            2.649999999999999911182158029987476766109466552734375,
            3.29999999999999982236431605997495353221893310546875
        ],
        [
            2.79999999999999982236431605997495353221893310546875,
            3.399999999999999911182158029987476766109466552734375
        ],
        [
            3,
            3.54999999999999982236431605997495353221893310546875
        ],
        [
            3.20000000000000017763568394002504646778106689453125,
            3.70000000000000017763568394002504646778106689453125
        ]
    ]
}
Capabilities
cpueconometricsmultivariateforecasting