yahoo business finance
The Evolution of Yahoo Business Finance: A Comprehensive Study
In this work, we present the technical details of an econometrics framework that we have developed. This framework extracts and processes selected stock market information from what we call YBF 2.0, which is Yahoo Business Finance as it stood in early October 2011. The reconstruction technique presented is from the econometrics perspective of financial high-frequency data. Other related studies use older versions and mostly focus on different aspects such as stock price prediction, chaotic dynamics, and volatility characterizations. We also describe the features of the Yahoo modules that have been used. The technical details of the economic indicators – signals and company press releases – used in our work are provided along with relevant examples. We hope that the methodology presented in this write-up and the unique dataset of press releases and signals that we have prepared for and obtained from YBF benefit other researchers and practitioners within the field of econometrics, market microstructure, financial engineering, and financial economics.
Online finance is an integral part of contemporary finance, reflecting a fundamental shift in consumer behavior. Many consumers now use the internet to access financial data. In doing so, it is important for any organization, whether personal or corporate, to be able to retrieve, manipulate, and react to available online financial information. Among the various online finance platforms, Yahoo Business Finance (YBF) is at the center of this technological evolution. It has been repositioned with new features and more intimate integration with its family members – Yahoo News and My Yahoo – and has been rebranded and renamed Yahoo Finance.
Data presented on Business Finance pages are often updated throughout the day; however, the majority are not available until the following morning. Typically, the amount and type of company news data provided by the public national news organizations specialize in a product such as computer-readable subscription feeds. Also, terms and conditions and news feed acceptance requirements are listed on other finance vendor websites. These trading companies’ companion agreement can negatively affect the delivery of business news data, news item type, and can potentially restrict the dissemination of proprietary information found in specific business news stories. Hyperlinks to articles, starting with January 2004, are sorted by whether a partner agreement groups have authorized access to each source, or access to each source.
“Yahoo Business Finance” is a comprehensive study on this free business news website. It begins with a description of major free features, as well as those that require an approved news feed agreement. Business news content and hyperlinks to the thousands of explicitly tagged new companies and ticker symbols found in all articles are listed. Free finance forums and their participation requirements are also detailed. A detailed study on shareholders is linked. Additionally, the Visual Journals and Finance Project is described, which includes an example of a WorldCom scandal story, and a comparative stock price impact study. Two popular classroom business activities, including a stock portfolio monitoring assignment and what needs to be done before buying a stock activity, are also detailed. Finally, we present educational implications.
Our methodology on this first overview case is to relate visits of the site, Galacticommunications’ Yahoo Business Finance (YBF), with the number of “Top 50” sites that refer to it, an additional measure to some of the other evaluations of financial economic sites that authors might follow. No such similar approach has been found in the literature, while the more conventional ones are described in the earlier sections. The second overview evaluation study, U.S.-oriented as all datasets used are, is simpler to perform and refers to a site with different functions than the Yahoo YBF. Specially constructed data is then used to relate employee preferences reflecting good locations to some economics servers. With established criteria for selecting the “Top 100” and the “Top 5” of each type of server, we use these preferences to identify in the case for current students locations where it might be beneficial to add new sites.
In this section, we present three different methodologies for evaluation and measurement of the value of a site. We choose to present three different ways because this evaluation has interests as diversified as the sites themselves. Some might want to evaluate the value of the site in order to purchase or to sell it; some might want to evaluate the influence of the site; some might want to evaluate two competing sites on comparable scales of measurement. Each of these types of measurement calls for different variables, and hence, different methods that might not be inter-dependable. We then provide two case studies using these methodologies. The first case is devoted to the Yahoo Site, and the second is devoted to the RBS sites in the Philippines in order to provide a complementary measure to the mostly U.S.-oriented other studies; it also uses employees’ download speed of sites given the importance of this characteristic. Both studies are obtained through best location methods to be described.
The initial phase of the assignment term of 1999 Academic Yahoo Business Finance initiated abandoned controversial accounting treatments, which spawned the Financial Standards Accounting Board (FASB) mandate that all corporations use the accrual method of accounting for stock options and realize this accounting expense in the income through GAAP Standards 123, which became FAS 123 Employee Accounting Expense. This paper will address ways that future Yahoo Business Finance can improve financial reports and the lessons to be learned from implementing business finance reporting with big data solutions.
Substantial financial benefits are possible when a corporation’s finance function is effectively integrated toward these multiple interfaces, not only within the firm but also with external capital financial markets. How will this reporting process permeate down to the global emerging markets that are using U.S. GAAP and/or IASB standards?
The dramatic growth of available business finance data requires infrastructure outlay and resource dedication. Accountants, financial analysts, corporate search agents, and investment bankers are challenged with the synthesis of this massive amount of data into their tenable reports and recommendations. The question arises: are the future opportunities afforded by the additional but disjointed data streams worth the large investment required?
The subject of business finance encompasses the function of accounting, financial theory, and financial quantitative tools synergistically to maximize shareholder wealth. It also involves the study of corporate governance, corporate finance, and pivot strategies to effectively achieve corporate financial goals. Academic professionals and researchers studying business finance have found challenges and encountered opportunities pursuing answers.
The fundamental characteristics will remain – with alerts being available, investments being easy to access, and a consolidated view supplementing existing personal brokerage accounts. However, technology is likely to be dominant, pushing horizons within retail and professional investment services. AI techniques driven by market APIs will have an increasing impact on the intelligence of these investment decision services. It surprises us that, contrary to e.g., the financial data provided by Yahoo Finance is still traditionally appended and time-stamped. We forecast that new APIs will be more dynamic and activity-independent, which permits investors to view real-time, up-to-date asset performances and make recommendations about investment changes. Market information was formerly dominated by supply and investments. Further APIs that give new financial data, such as companies’ performance metrics, will also create a new dimension in understanding both funds and underlying security overviews. Such information could improve forecasting calculations and sensitivity analysis. These applications currently have to depend on semi-annual reports and historical profiles. An ‘intelligent’ financial application needs to take into account the mind when dealing with new information. We have already seen a large number of security breaches in the last 10 years. Shall we expect more from ‘hacking’ professionals who want to take advantage of inside information?
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