We examine whether option prices correct for predictable bias in stock prices associated with accounting anomalies. Evidence from put-call parity violations suggests that they do not. Rather, option prices accurately track contemporaneous stock prices. Further analysis suggests that high costs...

Using nationally representative data from repeated cross section surveys conducted in 2011/12, 2013/14, and 2016/17, we test for separability in the household model and analyse household factor market participation in Afghanistan. Estimates of a household labour demand model and tests for...

While there is rich literature covering theoretical concepts of transaction costs very few empirical strategies have been provided to estimate them. The theoretical framework proposed in this paper is based on a unit value decomposition and dedines transaction costs as the difference between a...

R&D collaboration facilitates pooling of complementary skills, learning from the partner as well as sharing risks and costs. Research therefore repeatedly stressed the positive relationship between collaborative R&D and innovation performance. Fewer studies addressed potential drawbacks of...

In the data mining and machine learning fields, forecasting the direction of price change can be generally formulated as a supervised classfii cation. This paper attempts to predict the direction of daily changes of the Nasdaq Composite Index (NCI) and of the Standard & Poor's 500 Composite...

We solve the problem of optimal risk management for an investor holding an illiquid, alpha generating fund and hedging his position with a liquid futures contract. When the investor is subject to a drawdown constraint, he is forced to reduce the total risk of his portfolio after a drawdown. In...