In theory, by institutional trading options (wholesale), professional market participants asses and set future volatilities that can be identified for the retail using the Black-Scholes-formula in reverse. In reality, as regression analysis suggests, it is historical market data which instead are used to determine future values. Further analysis shows that historical volatilities are insufficient predictors. Yet this questionable practice is considered by international accounting standards (IAS/IFRS) to allow "historical data and implied volatilities" for "reasonable estimations". In a kind of short-circuit, historical volatilities are introduced into option trading and returned as implied volatility-indexes. In reality, both differ significantly from future values. Comparing the volatility of the past nine weeks with that of the following nine weeks, estimation error ranges from four to over ten percentage points. (No paper found in the net challenging the implied hypothesis of IAS 39/AG82(f))
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
18025.
Find related papers by JEL classification: F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Quantitative and Mathematical H83 - Public Economics - - Miscellaneous Issues - - - Public Administration E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General
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