(5637) auto regressive model

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    Autoregressive Model: Example

    The Office Concept Corp. has acquired a number of

    office units (in thousands of square feet) over the last 8

    years. Develop the 2nd order Autoregressive models.

    Year Units

    98 4

    99 3

    00 2

    01 302 2

    03 2

    04 4

    05 6

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    Autoregressive Model: Example

    SolutionYear Yi Yi-1 Yi-298 4 --- ---

    99 3 4 ---

    00 2 3 4

    01 3 2 3

    02 2 3 2

    03 2 2 3

    04 4 2 2

    05 6 4 2

    Coefficients

    Intercept 3,5

    X Variable 1 0,8125

    X Variable 2 -0,9375

    Excel Output

    21

    9375,08125,05,3 ttt YYY

    Develop the 2nd order

    table

    Use Excel to run a

    regression model

    n = 6!!!

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    Autoregressive Model Example:

    ForecastingUse the 2nd order model to forecast number of

    units for 2006:

    625,4

    49375,068125,05,3

    9375,08125,05,3200420052006

    YYY

    21 9375,08125,05,3 ttt YYY

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    Autoregressive Model Example:

    ForecastingUse the 2nd order model to forecast number of

    units for 2008:

    ??

    625,49375,0??8125,05,3

    9375,08125,05,3200620072008

    YYY

    CHAIN FORECAST

    21 9375,08125,05,3 ttt YYY

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    Autoregressive Model Example:

    ForecastingIf we want to forecast number of units for 2008,

    first we need to forecast the number of units for

    2007:

    633,169375,06245,48125,05,3

    9375,08125,05,3200520062007

    YYY

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    Autoregressive Model Example:

    ForecastingNow we can forecast number of units for 2008:

    491,0

    625,49375,0633,18125,05,3

    9375,08125,05,3200620072008

    YYY

    21 9375,08125,05,3 ttt YYY

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    Autoregressive Model Example:

    Mean Forecast Error

    625,4

    633,1

    1

    3125,00625,01

    0625,03125,01

    115,5

    ]625,4633,11[1e

    SMFE

    3318,245,249,1 MFE

    Lets construct the forecast interval for 2008.

    We need MFE:

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    Autoregressive Model Example:

    Confidence Interval for Forecast

    1}{ ,2008,2008 2008 MFEtYEMFEtYP knYkn

    182,336;05,0, tt kn

    05,01}3318,2182,3491,03318,2182,3491,0{2008

    Y

    EP

    95,0}9108,79288,6{2008

    Y

    EP

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    Why?

    B1 or B2 can be statistically insignificant

    Determination coefficient too low

    Improper autoregression rank (p2)