CSIMarket


Terms Beginning with S
                       
                       
 S&P 500 Index   Securitization   Service Fees  
 S&P GSCI Commodity Index   Securitization Income   Services  
 S-Curve Method   Seed Capital   Servicing Carrier  
 Sales per Employee   Segment   Severity Rate  
 Salt   Seismic   Shaft  
 Salvage   Seismic Zone   Shares Outstanding, Outstanding Shares  
 Sampling   Self Insured Retentions   Shelf Registration Statement  
 Scrap Iron and Steel   Semiconductors   Shipments Manufacturing  
 Second Injury Fund   Sensitivity   Short Selling  
 Second-line   Seq. Sequential QQ MM   Short Ton  
                 
                  next arrow
 
 
       
       
 

Seq. Sequential QQ MM

Fundamental Analysis Term


Seq. Sequential QQ MM, also known as Sequential Quartile Mean-Mean, is a statistical method used in Fundamental Analysis to identify trends or changes in a time series. It is a variation of the sequential sampling technique, which involves taking multiple small samples from a population over time and analyzing the data.

The Seq. Sequential QQ MM method involves dividing a time series into equal parts (quartiles) and calculating the mean of each part. The mean of the first quartile is then subtracted from the mean of the second quartile, and the result is divided by the standard deviation of the entire time series. This calculation is repeated for each subsequent quartile, resulting in a series of values.

If the values are positive, it suggests that the data is trending upward, and if negative, it suggests that the data is trending downward. If the values fluctuate around zero, it suggests that there is no clear trend in the data.

The formula for Seq. Sequential QQ MM is:

(SQM i - SQM i-1) / SD(X)

Where:
SQM i = sequential quartile mean of the i-th quartile
SD(X) = standard deviation of the entire time series.




   
     

Seq. Sequential QQ MM

Fundamental Analysis Term


Seq. Sequential QQ MM, also known as Sequential Quartile Mean-Mean, is a statistical method used in Fundamental Analysis to identify trends or changes in a time series. It is a variation of the sequential sampling technique, which involves taking multiple small samples from a population over time and analyzing the data.

The Seq. Sequential QQ MM method involves dividing a time series into equal parts (quartiles) and calculating the mean of each part. The mean of the first quartile is then subtracted from the mean of the second quartile, and the result is divided by the standard deviation of the entire time series. This calculation is repeated for each subsequent quartile, resulting in a series of values.

If the values are positive, it suggests that the data is trending upward, and if negative, it suggests that the data is trending downward. If the values fluctuate around zero, it suggests that there is no clear trend in the data.

The formula for Seq. Sequential QQ MM is:

(SQM i - SQM i-1) / SD(X)

Where:
SQM i = sequential quartile mean of the i-th quartile
SD(X) = standard deviation of the entire time series.




Related Fundamental Analysiss


Help

About us

Advertise

CSIMarket Company, Sector, Industry, Market Analysis, Stock Quotes, Earnings, Economy, News and Research. 
   Copyright © 2024 CSIMarket, Inc. All rights reserved.

Intraday data delayed per exchange requirements. All quotes are in local exchange time. Intraday data delayed 15 minutes for Nasdaq, and other exchanges. Fundamental and financial data for Stocks, Sector, Industry, and Economic Indicators provided by CSIMarket.com