Contribution à l’étude du nannoplacton du leg 12, «sites» 118-119 (Ocean Atlantique)

This paper reports a Scanning Electron Microscopy study of some samples from the leg 12, Deep Sea Drilling Project, sites 118 and 119. The chronostratigraphic distribution, the frequency of the species identified and the datation of the samples studied are presented. In accordance with the calcareous nannofossil zonation proposed by E. MARTINI (1971) the samples from site 118 are ascribed to the Upper Miocene while the samples from site 119 are located between the Lower (NN1) and the Upper Miocene (NN10).

Predicting market movement with Artificial Neural Networks

This paper presents an application of an Artificial Neural Network (ANN) to the prediction of stock market direction in the US. Using a multilayer perceptron neural network and a backpropagation algorithm for the training process, the model aims at learning the hidden patterns in the daily movement of the S&P500 to correctly identify if the market will be in a Trend Following or Mean Reversion behavior. The ANN is able to produce a successful investment strategy which outperforms the buy and hold strategy, but presents instability in its overall results which compromises its practical application in real life investment decisions.