[N*(N-1)]/2
N=1700
(1700*1699)/2 = 1,444,150 Covariance
Maybe I'm not providing a full information. But if you're asking about importance of covariance in trading, then before investing you should assess if your stocks are codependent. All investors try to diversify a portfolio and minimize risks. and covariance can show if two stocks are exposed to the same risk. Now it's easily calculated, there're different services. Actually, for better understanding just read Investopedia really.
variance - covariance - how to calculate and its uses
Covariance - 2011 was released on: USA: 20 September 2011
To calculate the variance-covariance matrix for daily market prices of stocks in Excel, first, gather the daily prices of the stocks in a spreadsheet. Convert these prices into daily returns by using the formula: ( \text{Return} = \frac{\text{Price Today} - \text{Price Yesterday}}{\text{Price Yesterday}} ) for each stock. Once you have the daily returns, use the Excel function =COVARIANCE.P(array1, array2) to calculate the covariances between each pair of stock returns, and =VAR.P(array) for the variances of individual stock returns. Finally, organize these values into a matrix format to represent the variance-covariance matrix.
) Distinguish clearly between analysis of variance and analysis of covariance.
How many tens are there in 1700?
Degrees of freedom in the context of covariance typically refer to the number of independent values that can vary in the calculation of the covariance between two variables. When calculating sample covariance, the degrees of freedom are often adjusted by subtracting one from the sample size (n-1) to account for the estimation of the mean values from the same data set. This adjustment helps provide a more accurate estimate of the population covariance. Therefore, the degrees of freedom for covariance in a sample of size n is generally n-2, as both variables' means are estimated from the data.
how many stocks in the world now?
The covariance between two variables is simply the average product of the values of two variables that have been expressed as deviations from their respective means. ------------------------------------------------------------------------------------------------- A worked example may be referenced at: http://math.info/Statistics/Covariance
A mix of linear regression and analysis of variance. analysis of covariance is responsible for intergroup variance when analysis of variance is performed.
Covariance: An Overview. Variance refers to the spread of a data set around its mean value, while a covariance refers to the measure of the directional relationship between two random variables.
The cast of Covariance - 2011 includes: David Razowsky as Russell Gains Dawn Westlake as Genevieve Pace