A total of 891,171 some other terms occur regarding the Economic Minutes corpus

A total of 891,171 some other terms occur regarding the Economic Minutes corpus

I start our very own analysis of one’s dating between financial development and financial parece of one’s 30 businesses that was in fact placed in the Dow-jones Commercial Average (DJIA) ranging from dos nd , a period in which you will find deal frequency and rates analysis on DJIA portion

At any one time, the new DJIA consists of 30 people. not, Guests changed Citigroup on the best hookup apps Plymouth United Kingdom DJIA during the period of all of our analysis. Regarding data claimed, we believe inventory studies and you will information studies for of these organizations. Full information on the business brands found in the newest corpus investigation are supplied on the Additional Pointers (Table S1).

We take a look at the the partnership between demand for a family on development and you will interest in a friends about stock areas

Stocks to have people placed in the fresh DJIA try exchanged at Ny Stock market (NYSE), unlock anywhere between 9:30 are and you can cuatro pm Ny date (for many of the year, 2:31 pm so you can nine pm London date). We carry out that it research and all of following analyses for change months just, leaving out all the vacations and you will bank vacations.

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).

Each day level of says out-of “Bank away from The united states” from the Monetary Times and day-after-day purchase volume getting Financial regarding The usa (BAC) stocks.

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.

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