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Where a hedge relationship is effective (meets the 80%–125% rule), most of the mark-to-market derivative volatility will be offset in the profit and loss account. Hedge accounting entails much compliance - involving documenting the hedge relationship and both prospectively and retrospectively proving that the hedge relationship is effective.
Statements of Financial Accounting Standards No. 133, Accounting for Derivative Instruments and Hedging Activities, commonly known as FAS 133, is an accounting standard issued in June 1998 by the Financial Accounting Standards Board (FASB) that requires companies to measure all assets and liabilities on their balance sheet at “fair value”.
A cash flow hedge [1] is a hedge of the exposure to the variability of cash flow that: is attributable to a particular risk associated with a recognized asset or liability. Such as all or some future interest payments on variable rate debt or a highly probable forecast transaction and; could affect profit or loss (IAS 39, §86b)
IFRS 9 is an International Financial Reporting Standard (IFRS) published by the International Accounting Standards Board (IASB). It addresses the accounting for financial instruments. It contains three main topics: classification and measurement of financial instruments, impairment of financial assets and hedge accounting.
If the ratio is between 0.8 and 1.25 (4/5 - 5/4) under all scenarios - the "80:125 rule" - then hedge accounting may be applied. Regression analysis . A similar approach, but here regressing the expected changes in these values at relevant future time periods - usually financial reporting dates - so as to demonstrate the strength of the hedge ...
Fund accounting is an accounting system for recording resources whose use has been limited by the donor, grant authority, governing agency, or other individuals or organisations or by law. [1] It emphasizes accountability rather than profitability , and is used by nonprofit organizations and by governments.
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The Elliott wave principle, or Elliott wave theory, is a form of technical analysis that helps financial traders analyze market cycles and forecast market trends by identifying extremes in investor psychology and price levels, such as highs and lows, by looking for patterns in prices.