Sentence examples for most influential stocks from inspiring English sources

Most influential stocks are at the bottom of the figure.

The first question we shall answer is about the most influential stocks.

In Fig. 2 we report indegree and outdegree of the 10 most influential stocks for both the networks, together with their economic sector of activity.

In other words, over the 10 most influential stocks 9 of them are from the financial sector and 5 of them belong to the sub-sector of investment services.

The top 10 most influential stocks are BEN (FI, investment services), STI (FI, regional banks), MER (FI, investment services), JP (FI, insurance life), UPC (FI, regional banks), AGE (FI, investment services), LM (FI, investment services), BSC (FI, investment services), CAT (CG, construction & agricultural machinery), and ONE FII, regional banks).

By constructing the partial correlation network, unlike the case of standard correlation based networks, we find that stocks belonging to the financial sector and, in particular, to the investment services sub-sector, are the most influential stocks affecting the correlation profile of the system.

A scrappy, Runyonesque figure who spoke a breathless Brooklynese, Mr. Dorfman was for much of the 1990s considered the most influential stock tipster in the country.

Many of the most influential stock analysts are refusing to go on CNBC or CNN and are paring back sharply on calls that they take from reporters.

In the last year, two of the most influential stock analysts, Henry Blodget of Merrill Lynch and Jack B. Grubman of Citigroup's Salomon Smith Barney unit, have left the business amid allegations that they pumped up the stocks of their firms' banking clients.

Austria, Belgium, France, and the Netherlands are, as discussed above, the most influential stock markets in the Western European region.

Moreover, Austria and the Netherlands are found to have the most influential stock markets in the Western European region in term of their capability to account for the error variances of other markets.