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Equifax Becomes #106 Most Shorted S&P 500 Component, Replacing Tiffany

The most recent short interest data has been released by the NASDAQ for the 01/29/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The New #107 Most Shorted S&P 500 Component: Expedia

The most recent short interest data has been released by the NASDAQ for the 01/29/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

Becton, Dickinson Becomes #108 Most Shorted S&P 500 Component, Replacing Kraft Heinz

The most recent short interest data has been released by the NASDAQ for the 01/29/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The New #130 Most Shorted S&P 500 Component: T Rowe Price Group

The most recent short interest data has been released by the NASDAQ for the 01/29/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The New #116 Most Shorted S&P 500 Component: Aetna

The most recent short interest data has been released by the NASDAQ for the 01/29/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The New #119 Most Shorted S&P 500 Component: Public Service Enterprise Group

The most recent short interest data has been released by the NASDAQ for the 01/29/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The New #125 Most Shorted S&P 500 Component: C.H. Robinson Worldwide

The most recent short interest data has been released by the NASDAQ for the 01/29/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

Illumina Becomes #142 Most Shorted S&P 500 Component, Replacing Goodyear Tire & Rubber

The most recent short interest data has been released by the NASDAQ for the 01/29/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

Cummins Becomes #146 Most Shorted S&P 500 Component, Replacing Hershey

The most recent short interest data has been released by the NASDAQ for the 01/29/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

The New #148 Most Shorted S&P 500 Component: J.M. Smucker

The most recent short interest data has been released by the NASDAQ for the 01/29/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the S&P 500 by "days to cover." There are a number of ways to look at short data, for example the total number of shares short; but one metric that we find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then compared to the average daily volume, in order to calculate the total number of trading days it would take to close out all of the open short positions if every share traded represented a short position being closed.

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