A total of 891,171 additional words can be found in the Monetary Minutes corpus

06 Aug A total of 891,171 additional words can be found in the Monetary Minutes corpus

I begin all of our analysis of the matchmaking between monetary news and you will economic es of one’s 29 companies that was listed in the newest Dow jones Industrial Average (DJIA) between dos nd , a period wherein i’ve transaction regularity and speed studies on DJIA portion

At any one-time, the fresh new DJIA include 31 companies. Although not, Tourist changed Citigroup throughout the DJIA during the period of the analysis. Throughout the computations claimed, we thought stock data and development data for of these people. Full specifics of the business labels used in new corpus analysis are provided throughout the Additional Recommendations (Desk S1).

We take a look at the the partnership ranging from demand for a family about development and interest in a buddies from the inventory areas

Brings getting organizations placed in brand new DJIA was traded on New free gay chat room bolivian york Stock market (NYSE), discover ranging from nine:29 have always been and you may 4 pm Nyc day (for many of the year, 2:30 pm so you can nine pm London area day). We perform this analysis and all sorts of following the analyses to have exchange weeks simply, leaving out all the sundays and financial getaways.

In Figure 2, we take Bank of America as an example for this analysis and plot the number of daily mentions of “Bank of America” against daily transaction volume for Bank of America. We find that a greater number of daily mentions of “Bank of America” corresponds to a greater daily transaction volume for Bank of America stocks (? = 0.43, p < 0.001, Spearman's rank correlation).

Every single day amount of states off “Bank away from The usa” from the Economic Times and everyday exchange regularity having Lender from America (BAC) carries.

We depict the correlation between the daily number of mentions of “Bank of America” and the daily transaction volume for Bank of America (BAC) stocks. We find that the daily number of mentions of “Bank of America” is positively correlated with the daily transaction volume for Bank of America (BAC) stocks (? = 0.43, p < 0.001, Spearman's rank correlation).

We extend this analysis to all 31 Dow Jones companies from this period. For each company, we calculate the Spearman’s rank correlation between the daily number of mentions of a company’s name in the Financial Times and the transaction volume of the corresponding company’s stocks (Figure 3). We analyze the distribution of Spearman’s rank correlation coefficients for all 31 companies. Whilst the strongest correlation is found for Bank of America, we find that overall, the correlation coefficients are significantly higher than zero (median correlation coefficient = 0.074; mean correlation coefficient = 0.100, W = 450, p < 0.001, Wilcoxon signed rank test). A greater number of mentions of a company in the news therefore corresponds to a greater transaction volume of a company's stocks. This suggests greater interest in a company in the news is related to greater interest in a company in the stock markets.

For each of the 31 companies that were listed in the Dow Jones Industrial Average between 2 nd , we plot the Spearman’s rank correlation between the daily number of mentions of a company’s name and the transaction volume of the corresponding company’s stockspanies are indicated using their ticker symbol, for which a full list can be found in the Supplementary Information (Table S1). We analyze the distribution of correlation coefficients and find that, overall, the correlation coefficients are significantly higher than zero (median correlation coefficient = 0.074; mean correlation coefficient = 0.100; W = 450, p < 0.001, Wilcoxon signed rank test). In other words, the daily number of mentions of a company's name is positively correlated with the daily transaction volume of a company's stocks.