{
  "id": "cond-mat/0006486",
  "version": "v1",
  "published": "2000-06-30T10:24:10.000Z",
  "updated": "2000-06-30T10:24:10.000Z",
  "title": "Forecasting price increments using an artificial Neural Network",
  "authors": [
    "Filippo Castiglione"
  ],
  "comment": "12 pages, 5 figures (to be published in Advances in Complex Systems, as the Proceeding of the WE-Heraeus Workshop on \"Economic Dynamics from the Physics Point of View\", Bad Honnef, Germany, March 27-30, 2000",
  "categories": [
    "cond-mat.dis-nn"
  ],
  "abstract": "Financial forecasting is a difficult task due to the intrinsic complexity of the financial system. In the present paper we relate our experience using neural nets as financial time series forecast method. In particular we show that a neural net able to forecast the sign of the price increments with a success rate slightly above 50 percent can be found.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2000-06-30T10:24:10.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "artificial neural network",
      "forecasting price increments",
      "financial time series forecast method",
      "success rate"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 12,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2000cond.mat..6486C"
    }
  }
}