XBRL allows disaggregated data to be presented to interested external parties. Financial analysts often predict one-year ahead earnings and then suggest whether an investor should buy, sell or hold a stock. Which type of disaggregated data do you think financial analysts would be most interested in receiving when predicting one-year ahead earnings? Detailed sales data, detailed expense data, detailed asset data and/or detailed liability data? Support your answer. In your opinion, which disaggregated XBRL data would be most useful information in predicting whether an investor should buy, sell or hold a stock?
Answer to relevant QuestionsHow has the Sarbanes-Oxley Act affected the audit profession and corporate governance of public firms?ISO 27000 series serve different purposes from ITIL. Which one could be more important to accounting professionals?The sales department of a company received several claims from its customers that their payments were not credited to their accounts. Investigation uncovered that the accounts receivable clerk has been stealing some of ...What is hashing? Does it serve the same purpose as encryption? Why?Are there differences among hubs, switches, and routers?
Post your question