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Forecasting

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Title: Chapter 14 14 Author: Lenovo User Last modified by: Lenovo User Created Date: 11/3/2006 1:59:49 AM Document presentation format: – PowerPoint PPT presentation

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Title: Forecasting


1
  • Forecasting
  • ??

2
Contents ??
  • 18.1 Components Of A Time Series ???????
  • Trend Component ??
  • Cyclical Component ??
  • Seasonal Component ??
  • Irregular Component ???
  • 18.2 Smoothing Methods ???
  • Moving Averages ????
  • Weighted Moving Averages
    ??????
  • Exponential Smoothing ????
  • 18.3 Trend Projection ????

3
Contents ??
  • 18.4 Trend And Seasonal Components ??
    ?????
  • Multiplicative
    Model ????
  • Calculating The Seasonal
    Indexes ??????
  • ?
  • Deseasonalizing The Time
    Series ??????????
  • Using The Deseasonalized Time
    Series To
  • Identify Trend ????????????????
  • Seasonal Adjustments ?????
  • Models Based On Monthly Data
    ???????
  • Cyclical Component ????

4
Contents ??
  • 18.5 Regression Analysis ????
  • 18.6 Qualitative Approaches ????
  • Delphi Method ????
  • Expert Judgment ?????
  • Scenario Writing ???????
  • Intutive Approaches ???

5
Overview Of Forecasting Methods
???????
Forecasting Methods ????
Quantitative ??
Qualitative ??
Causal ??
Time Series ????
Smoothing ???
Trend Projection ?????
Trend Projection Adjusted For Seasonal
Influence ????????????
6
18.1 Components Of A Time Series
???????
  • Trend Component ????
  • The long-run shift or movement in the time
    series observable over several periods of time.
  • Cyclical Component ????
  • The component of the time series model
    that results in periodic above-trend and
    below-trend behavior of the time series lasting
    more than one year.

7
  • Seasonal Component ????
  • The component of the time series model
    that shows a periodic pattern over one year or
    less.
  • Irregular Component ?????
  • The component reflects the random
    variation of the time series values beyond what
    can be explained by the trend, cyclical, and
    seasonal components.

8
Examples Of Some Possible Time Series
Trend Patterns
  • Nonlinear Linear decreasing trend
    No trend

9
18.2 Smoothing Methods
???
  • Moving Averages ?????
  • A method of forecasting or smoothing a
    time series by averaging each successive group of
    data points.
  • Moving Averages?(most recent n data
    values)/n
  • NOTE Forecast Accuracy ????
  • Mean squared error (MSE) ????
  • The average of the sum of the squared
    differences between the forecast values and the
    actual time series values.

10
  • Weighted Moving Averages ???????
  • A method of forecasting or smoothing a
    time series by computing a weight average of past
    data values.
  • NOTE The sum of the weights must equal one.

11
  • Exponential Smoothing ????
  • A forecasting technique that uses a
    weighted average of past time series values to
    arrive at smoothed time series values that can be
    used as forecasts.
  • Exponential Smoothing Model
  • F t1 aY t (1-a)F t
  • Ft1 forecast of the time series for
    period t1
  • Yt actual value of the time series in
    period t
  • Ft forecast of the time series for
    period t
  • a smoothing constant ( 0 a 1 )

12
18.3 Trend Projection
????
  • Trend Projection ?????
  • y b0 b1x
  • Equation For Linear Trend
  • Tt b0 b1t
  • Tttrend value of the time series in period
    t
  • b0intercept of the trend line
  • b1slope of the trend line
  • ttime

13
  • Computing The Slope (b1) And Intercept
    (b0)
  • b1 ?tYt - (?t?Yt )/n
  • ?t2 - (?t)2/n
  • b0 Y - b1t

14
18.4 Trend And Seasonal Components
???????
  • Multiplicative Time Series Model ????
  • A model whereby the separate components
    of the time series are multiplied together to
    identify the actual time series value. When the
    four components of trend, cyclical, seasonal, and
    irregular are assumed present, we obtain
  • Yt TtCtStIt
  • When the cyclical component is not
    modeled, we obtain
  • Yt TtStIt

15
  • Deseasonalized Time Series ??????????
  • A time series from which the effect of
    season has been removed by dividing each original
    time series observation by the corresponding
    seasonal index.

16
18.5 Regression Analysis
????
  • Causal Forecasting Methods ?????
  • Forecasting methods that relate a time
    series to other variables that are believed to
    explain or cause its behavior.
  • Autoregressive Model ??????
  • A time series model whereby a regression
    relationship based on past time series values is
    used to predict the future time series values.

17
18.6 Qualitative Approaches
????
  • Delphi Method ????
  • A qualitative forecasting method that
    obtains forecasts through group consensus.
  • Expert Judgment ?????
  • Qualitative forecasts are based on the
    judgment of a single expert or represent the
    consensus of a group of experts.

18
  • Scenario Writing ???????
  • A qualitative forecasting method that
    consists of developing a conceptual scenario of
    the future based on a well-defined set of
    assumptions.
  • Intuitive Approaches ???
  • Qualitative approaches are based on the
    ability of the human mind to process a variety of
    information.
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