Natural products from plants have been used since ancestral times to treat a wide variety of diseases worldwide. Plants of the genus Salvia (Sage) have been reported to be used for the prevention and treatment of various diseases and ailments. In particular, some Salvia species have been used in traditional medicine to treat diseases caused by protozoan parasites of the genera Trypanosoma, Leis...

This paper investigates the performance of hedge funds adjusted for higher order risk factors. Traditional risk-adjusted performance measures are subject to size distorted in the presence of skewness and kurtosis. A residual augmented least squares approach to model higher order risk moments in returns allows us to estimate a robust risk-adjusted performance measure for hedge funds. In a compar...

We provide novel evidence that hedge fund performance is persistent following periods of relative hedge fund market weakness, but not following periods of relative market strength. Specifically, we construct two performance measures, DownsideReturns and UpsideReturns, conditioning on whether the overall hedge fund market return is below or above its sample median. After adjusting for risk and f...

We introduce an extension of hedge automata called bidimensional context-free hedge automata. The class of unranked ordered tree languages they recognize is shown to be preserved by rewrite closure with inverse-monadic rules. We also extend the parameterized rewriting rules used for modeling the W3C XQuery Update Facility in previous works, by the possibility to insert a new parent node above a...

In this paper, we propose a novel fuzzy logic controller, called linguistic hedge fuzzy logic controller, to simplify the membership function constructions and the rule developments. The design methodology of linguistic hedge fuzzy logic controller is a hybrid model based on the concepts of the linguistic hedges and the genetic algorithms. The linguistic hedge operators are used to adjust the s...

The incentive on an electricity generating firm to exercise market power depends strongly on the volume the firm has pre-sold in the forward or hedge markets. Therefore, in order to forecast the effect of mergers and other market developments on market power outcomes, it is essential to model the hedging decisions of dominant generating firms. This paper shows that a dominant firm’s profit-maxi...

In India the history of commodity derivatives market has a long history, though a structured and exchange traded derivative trading is not more than a decade long. The derivatives market is established for the main purpose of hedging the price risk. Since the inception of derivatives, the concern of how much to hedge technically called the hedge ratio is widely debated and discussed. In present...

This paper describes the approach to hedge detection we developed, in order to participate in the shared task at CoNLL 2010. A supervised learning approach is employed in our implementation. Hedge cue annotations in the training data are used as the seed to build a reliable hedge cue set. Maximum Entropy (MaxEnt) model is used as the learning technique to determine uncertainty. By making use of...

Hedge funds are in a better position than mutual funds in timing systematic risk factors because they are less regulated and thus have more freedom to use leverage and short sales. To examine whether factor timing is a source of hedge fund alpha, this paper decomposes excess return generated by hedge funds during 1994 – 2008 into security selection, factor timing, and risk premium using the new...