modelos de previsão de preços aplicados aos contratos futuros de boi gordo na bm&f
models of price forecasting applied to futures contracts of live cattle at the brazilian futures market - bm&f

Clicks: 177
ID: 189121
2002
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #17 of 55 articles by views in international journal of rheumatology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This paper studies the applicability of time series models as a decision tool of buy and sell orders of live cattle futures contracts in the Brazilian Futures Market (BM&F), on dates close to expiration. The models considered are: ARIMA, Neural Networks and Dynamic Linear Models - DLM (this in the classic and bayesian approach). Weekly data, of the spot and futures markets, from 1996 to 1999, are used to calculate the forecasts. The main purpose is to calculate the returns, in buy/sell orders of live cattle futures between 1998 and 1999, in order to show the potentials or limitations of each model. The results show positive returns in almost all contracts analyzed, indicating the potential of the models as a decision tool in operating with futures contracts close to expiration date, with distinction on the performance of the Classic DLM and ARIMA models, although some differences in forecasting accuracy.
Reference Key
bressan2002novamodelos Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Aureliano Angel Bressan;João Eustáquio de Lima
Journal international journal of rheumatology
Year 2002
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.