A maximum of 891,171 more conditions occur about Financial Times corpus

A maximum of 891,171 more conditions occur about Financial Times corpus

I initiate our data of relationships between financial reports and financial parece of 29 firms that was listed in the Dow jones Industrial Average (DJIA) between dos nd , a period whereby i have deal regularity and you http://datingranking.net/local-hookup/odessa/ may rates data towards the DJIA components

At any one-time, brand new DJIA contains 30 companies. not, Tourist changed Citigroup throughout the DJIA throughout our very own data. On the data claimed, we consider inventory analysis and you will development data for both ones organizations. Complete details of the company brands utilized in brand new corpus investigation are supplied regarding the Second Information (Dining table S1).

We investigate the connection ranging from need for a family on the reports and you will demand for a friends in the stock markets

Carries to possess companies placed in the DJIA was replaced at Ny Stock-exchange (NYSE), discover between 9:30 have always been and you may 4 pm Nyc time (for the majority of of the season, 2:29 pm so you can nine pm London day). I do that it data and all adopting the analyses to possess trade days only, leaving out every sundays and you may bank holidays.

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 day number of mentions away from “Bank out of America” throughout the Economic Moments and you may each day transaction volume to possess Financial away from The united states (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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