Tuesday, December 24, 2019
Essay On Corporate Finance - 806 Words
Corporate Finance in the age of Thinking Computers. Just like humans, computers can now learn and adapt, thanks to machine learning, a subfield in AI. With artificial neural networks to mimic those of the human brain, intelligent computers can learn from examples, meaning that no task specific programming is required. While machine learning technology is still at infant stages in most industries, it is making ground breaking milestones in the financial sector. Among the areas experiencing major transformations is corporate finance. AI, in general, has been proliferating in the financial sector, with a study by Oxford Economics showing high reception among financial executives. The study, which involved 1500 financial executivesâ⬠¦show more contentâ⬠¦With the high volatility in todays global economy and regulatory environment, financial executives need to move beyond the traditional annual budget cycle if they are to make well-informed decisions. Machine Learning has ensured this by making it possible to analyze huge chunks of data within split second, learn from it, and provide highly accurate real time information for decision making. Brown also notes that AI relies on live, integrated business data and therefore financial managers can leverage of information from other departments in a firm when making decisions. For instance, through the technology, financial managers can monitor how consumers are responding to a new product and update projections correspondingly. Similarly, the financial team can take advantage of the data from the human resource to identify compensation strategies that ensure employee retention and reduces turnover. In other words, automation through AI enables CFOs and other financial managers to get data insights from marketing, human resource, supply chain, and RD, for better financial decision making. Even better is the fact that through machine learning, the financial systems in a firm keep improving themselves to accommodate even the tiniest changes in data. AI and machine learning also have a significant role to play in helping companies meet regulatory and compliance requirements at a lower cost. As Steve Culp of AccentureShow MoreRelatedCorporate Finance Essay1150 Words à |à 5 PagesCorporate Finance Essay Most corporate financing decisions in practice reduce to a choice between debt and equity. The finance manager wishing to fund a new project, but reluctant to cut dividends or to make a rights issue, which leads to the decision of borrowing options. The issue with regards to shareholder objectives being met by the management in making financing decisions has come to become a major issue of recent times. This relates to understanding the concept of the agency problem. It dealsRead MoreCorporate Finance Essay1908 Words à |à 8 PagesSample Test_MT2_FINA 3101_summer_2013 ____ 1. 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Interest Rates in May 2003 30-Year U.S. U.S. Corporate Bonds Rated Treasury Bonds AA A BBB BB 4.10% 4.52% 5.07% 6.07% 7.96% II.! Estimated Market Risk Premium = 6% over 30-Year U.S. Treasury Bonds III.! Median Values of Key Ratios by Standard Poorsââ¬â¢ Rating Category AAA AA A BBB BB B Times InterestRead MoreEMI Corporate Finance Essay7263 Words à |à 30 Pages ââ¬Å"IFPI: 07 Digital Music Report,â⬠January 2007. This case was written by Elizabeth W. Shumadine (MBA ââ¬â¢01), under the supervision of Professor Michael J. Schill, based on public information. Funding was provided by the L. White Matthews Fund for Finance case writing. Copyright à © 2008 by the University of Virginia Darden School Foundation, Charlottesville, VA. All rights reserved. To order copies, send an e-mail to sales@dardenbusinesspublishing.com. 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The dividend policy asks what dividend payout ratio is best for the firm.Answer | | | | | Selected Answer: |
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