Showing all 4 results
An updated new edition of the comprehensive guide to reading and understanding financial reports
Financial reports provide vital information to investors, lenders, and managers. Yet, the financial statements in a financial report seem to be written in a foreign language that only accountants can understand. This new Eighth Edition of How to Read a Financial Report breaks through that language barrier, clears away the fog, and offers a plain–English user′s guide to financial reports. This updated edition features new information on the move toward separate financial and accounting reporting standards for private companies, the emergence of websites offering financial information, pending changes in the auditor′s report language and what this means to investors, and requirements for XBRL tagging in reporting to the SEC, among other topics.
Makes it easy to understand what financial reports really say
Updated to include the latest information financial reporting standards and regulatory changes
Written by an author team with a combined 50–plus years of experience in financial accounting
With this new edition of How to Read a Financial Report, investors will find everything they need to fully understand the profit, cash flow, and financial condition of any business.
Should an airline be talking about the royal baby? What’s a candy bar doing Tweeting about a soccer match? Since when does laundry detergent weigh in on TV shows? Those conversations seem crazy, right? They’re mismatched, they’re nonsense… and they are working.
In today’s ongoing battle for consumer attention, brands have been using a new strategy called real-time marketing to engage their audience on topics that are already top of mind. In Trendology, Chris Kerns uses a data-driven approach to analyze how brands are using social media to finally answer the burning question: How should brands best capitalize on trends?
Kerns dives into the data from more than 100 of the top brands on Twitter (including Disney, MTV, Starbucks, Coca-Cola, BMW, J.C
This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti’s subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space – a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate – but introduces as fundamental the concept of random numbers directly related to their interpretation in applications. Events become a particular case of random numbers and probability a particular case of expectation when it is applied to events.
Showing all 4 results