The most recent short interest data has been released for the 01/12/2018 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the Nasdaq 100 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 most recent short interest data has been released for the 12/29/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the Nasdaq 100 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 most recent short interest data was recently released for the 10/13/2017 settlement date, and Verisk Analytics Inc is the #73 most shorted of the S&P 500 components, based on 8.41 "days to cover." There are a number of ways to look at short data, but one metric that we find particularly useful is the "days to cover" because it considers both the total shares short and the average daily volume of shares typically traded. The number of shares short is then divided by the average daily volume, to express 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 most recent short interest data has been released for the 10/13/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the Nasdaq 100 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 most recent short interest data has been released for the 09/29/2017 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 most recent short interest data has been released for the 06/15/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the Nasdaq 100 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 most recent short interest data has been released for the 03/15/2017 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the Nasdaq 100 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 most recent short interest data has been released for the 02/28/2017 settlement date, which shows a 459,107 share decrease in total short interest for Verisk Analytics Inc , to 3,166,530, a decrease of 12.66% since 02/15/2017. Total short interest is just one way to look at short data; another metric that we here at Dividend Channel find particularly useful is the "days to cover" metric because it considers both the total shares short and the average daily volume of shares traded.

The most recent short interest data has been released for the 12/30/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the Nasdaq 100 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 most recent short interest data has been released for the 10/14/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the Nasdaq 100 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 most recent short interest data has been released for the 08/31/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the Nasdaq 100 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.

Guidewire Software, Inc. (NYSE:GWRE), a provider of software products to property/casualty insurers, and Verisk Insurance Solutions, a leading source of information about property/casualty insurance risk, today announced...

In a study of analyst recommendations at the major brokerages, for the underlying components of the S&P 500, Verisk Analytics Inc has taken over the #70 spot from Edwards Lifesciences Corp , according to ETF Channel. Below is a chart of Verisk Analytics Inc versus Edwards Lifesciences Corp plotting their respective rank within the S&P 500 over time (VRSK plotted in blue; EW plotted in green): In forming the rank, the analyst opinions from the major brokerage houses were tallied, and averaged; then, the underlying components were ranked according to those averages.

The most recent short interest data has been released for the 07/15/2016 settlement date, and we here at Dividend Channel like to sift through this fresh data and order the underlying components of the Nasdaq 100 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 most recent short interest data has been released for the 06/30/2016 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.

Verisk Analytics (VRSK) stock is climbing on Wednesday afternoon after the release of the company's 2015 fourth quarter results after yesterday’s market close.