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Knowledge Structure and the Estimation of Conditional Probabilities in Audit Planning.
Abstract Presents the results of an experiment which focuses on the mismatch between auditors' tendency to structure their knowledge of financial statement errors with audit objective. Audit tasks' requirement of auditors' assessment of objectives; Effects of knowledge structures' mismatch with task structures.
The Ability of Professional Standards to Mitigate Aggressive Reporting.
Abstract Investigates whether replacing a standard that employs a vague, verbal disclosure threshold with a standard that employs a more stringent numerical threshold mitigates the aggressiveness of reporting decisions in accounting. Performance in a tax setting; Effect of incentives on the interpretation of vague standards.
Implementing Option Pricing Models When Asset Returns Are Predictable
ABSTRACT The predictability of an asset's returns will affect the prices of options on that asset, even though predictability is typically induced by the drift, which does not enter the option pricing formula. For discretely‐sampled data, predictability is linked to the parameters that do enter the option pricing formula. We construct an adjustment for predictability to the Black‐Scholes formula and show that this adjustment can be important even for small levels of predictability, especially for longer maturity options. We propose several continuous‐time linear diffusion processes that can capture broader forms of predictability, and provide numerical examples that illustrate their importance for pricing options.
Implementing Option Pricing Models When Asset Returns Are Predictable
The predictability of an asset's returns will affect the prices of options on that asset, even though predictability is typically induced by the drift, which does not enter the option pricing formula. For discretely-sampled data, predictability is linked to the parameters that do enter the option pricing formula. We construct an adjustment for predictability to the Black-Scholes formula and show that this adjustment can be important even for small levels of predictability, especially for longer maturity options. We propose several continuous-time linear diffusion processes that can capture broader forms of predictability, and provide numerical examples that illustrate their importance for pricing options.