Time Series
TIME SERIES
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Introduction
· A set of observations taken at specified time, usually at
equal intervals.
· A series of values over a period of time
· Collection of magnitude belonging to different time
periods of some economic variables such as
§ Per Capita Income
§ Gross National Income
§ Price of Tobacco etc.
· One variable is “Time” which is independent in nature and
the second variable is “Data” which is dependent in nature.
o
In table 1 it can be clearly states that the
sale of milk packets is decreasing from Monday to Friday then again its start
to increase.
o
Same thing in table 2, the population is
continually increasing.
Objectives
& Importance of Time Series Analysis
·
Profit of Experience
·
Safety from future
·
Sales Forecasting
·
Stock Market Analysis
·
Process & Quality Control
·
Inventory Studies
·
Risk Analysis
·
Yield projection
·
Budgetary Analysis
Components
of Time Series
These are the characteristics movements, variations or
fluctuations of time series and are of following types
- Secular Trend
- Seasonal Variation
- Cyclical Variation
- Irregular Variation
Secular
Trend
·
It is the general tendency of the data to
grow or decline over long period of time
·
It involves the forces which are constant
over a long period produce the trend, for example
§ Population change
§ Technology progress
§ Better medical facility
·
The general purposes of measuring the trend
are
§ Knowledge of past behaviour
§ Estimation
§ Study of other components
Seasonal
Variation
·
The components responsible for the regular
rise or fall in the time series during a period not more than 1year
·
Variation occurs in a regular sequence
·
The factors that can cause seasonal variation
are
§ Climate & weather condition
§ Customs tradition
·
The examples of this variation includes
o Crops are sown and harvested at certain times every year
and the demand for the labor going up during sowing and harvesting
o Demand for wollen clothes goes up in winter
o Increase of prices in festivals
Cyclical
Variation
·
It refers to the recurrent variations in time
series and usually last longer than a year.
·
These are the long term movements that
represent consistently recurring rises and declines in activity
·
The cyclical variation consist of 4phases
§ Prosperity
§ Decline
§ Depression
§ Recovery
Irregular
Variation
·
It also known as erratic, random, or
accidental variations
·
It does not repeat in a definite patterns and
they are unpredictable in nature
·
The examples of this variations are
§ Strikes
§ Fire
§ Wars
§ Famines
§ Earthquakes
§ Floods
·
The major characteristics of this variation
are
§ Irregular & Unpredictable
§ No definite
pattern
§ For a short period of time
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