The basic paradigm for learning in neural networks is 'learning from examples' where a training set of input-output examples is used to teach the network the target function. Learning from hints is a generalization of learning from examples where additional information about the target function can be incorporated in the same learning process. Such information can come from common sense rules o...

The literature has so far focused on the risk-return tradeoff in equity markets and ignored alternative risky assets. This paper examines the presence and significance of an intertemporal relation between expected return and risk in the foreign exchange market. The paper provides new evidence on the intertemporal capital asset pricing model by using high-frequency intraday data on currency and ...

The introduction of the euro generated substantial interest in the impact of currency unions (CUs) on trade flows. Initial estimates suggested a tripling of trade, which gave rise to a literature in search of “more reasonable” CU effects. Theoretical derivations of the gravity model highlight, however that the CU literature neglects to control simultaneously for general equilibrium effects (mul...

We employ a multivariate BEKK GARCH model which allows news to affect conditional volatility in an asymmetric manner. The asymmetric model outperforms the standard symmetric model, implying that efficient financial decision makers should not treat good and bad news as homogenous. We estimate the conditional variance and covariance of the Japanese yen, Swiss franc and British pound vis-à-vis the...

Grapevine red blotch-associated virus (GRBaV) was isolated from table and wine grapes, as well as rootstocks, affected by red blotch, a recently recognized viral disease. Phylogenetic analyses revealed the clustering of GRBaV isolates two groups (clades) of genetic variants (Krenz et al., 2014, Al Rwahnih et al., 2015). Producing and using a full-length infectious clone of a representative isol...