0
In statistics, a moving average, also called rolling average, rolling mean or running average, is a type of finite impulse response filter used to analyze a set of data points by creating a series of averages of different subsets of the full data set. A moving average is not a single number, but it is a set of numbers, each of which is the average of the corresponding subset of a larger set of data points. A moving average may also use unequal weights for each data value in the subset to emphasize particular values in the subset. A moving average is commonly used with time series data to smooth out short-term fluctuations and highlight longer-term trends or cycles. The threshold between short-term and long-term depends on the application, and the parameters of the moving average will be set accordingly. For example, it is often used in technical analysis of financial data, like stock prices, returns or trading volumes. It is also used in economics to examine gross domestic product, employment or other macroeconomic time series. Mathematically, a moving average is a type of convolution and so it is also similar to the low-pass filter used in signal processing. When used with non-time series data, a moving average simply acts as a generic smoothing operation without any specific connection to time, although typically some kind of ordering is implied. Source: http://en.wikipedia.org/wiki/Moving_average Renganathan D
Wiki User
∙ 14y ago
Add your answer:
Earn +20 pts
How does a quantitative forecasting differ from a qualitative forecasting?
Qualitative forecasting is an estimating method that relies upon human judgement, usually the judgment of a perceived expert. Quantitative forecasting uses statistics to make predictions on future outcomes. These prior experiences use past trends to try to predict future outcomes.
Is a prediction a statement based on the results of an experiment?
No, I believe that would be a hypothesis. A prediction would be forecasting the unknown without the assistance of the results.
Are the particles moving?
Subatomic particles cannot be prevented from moving.
What is a fast moving electron?
Fast moving electrons are equivalent to beta radiation.
How do tectonic plates stop moving?
It will stop moving in 200 million years.
What is the meaning of arima?
Arima can be defined as an autoregressive integrated moving average (ARIMA) model is a generalization of an autoregressive moving average (ARMA) model. There models are fitted to time series data either to better understand the data and to predict future points in the series of forecasting
What are forecasting models?
1) forecasting for stationary series A- Moving average B- Exponential Smoothing 2) For Trends A- Regression B- Double Exponential Smoothing 3) for Seasonal Series A- Seasonal factor B- Seasonal Decomposition C- Winters's methode
What is a moving average?
What is a moving average?
How do you determine how many observations to average in a moving average model?
The period value determines how many observations to average in a moving average model. Moving average is not a real piece of data but a comparison for forecast and valuation.
What has the author Gerald Appel written?
Gerald Appel has written: 'Winning Market Systems' -- subject(s): Investments, Stock exchanges 'Stock market trading systems' -- subject(s): Stock exchanges, Stock price forecasting, Stocks 'Winning stock selection systems' -- subject(s): Investments, Speculation, Stock price forecasting, Stocks 'The Moving Average Convergence-Divergence Trading Method (Advanced Version)'
What is a twenty moving average pertaining to the the stock market?
Unless it is customized, the twenty moving average usually refers to time. The time that it refers to is the 20 day moving average, of a given stock.
What is an explanation of Supply forecasting.?
Explain Supply forecasting
What advantages as a forecasting tool does exponential smoothing have over moving average?
When implemented digitally, exponential smoothing is easier to implement and more efficient to compute, as it does not require maintaining a history of previous input data values. Furthermore, there are no sudden effects in the output as occurs with a moving average when an outlying data point passes out of the interval over which you are averaging. With exponential smoothing, the effect of the unusual data fades uniformly. (It still has a big impact when it first appears.)
Can average speed of a moving object be zerogive an example?
No, it can't. Average VELOCITY can be zero, though.
What are dema?
A DEMA is a fast-acting moving average, which is more responsive to market changes than the traditional moving average.
Which forecasting method would best answer this question A cold front in the northwestern US is moving southeast at a speed of 550 mph. Where will it be in another 20 hours?
Perictance Method
Which forecasting method would best answer this question A cold front in the northwestern US is moving southeast at a speed of 550 mph Where will it be in another 20 hours?
Perictance Method
