English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This study analysed a series of live cattle spot and futures prices from theBoi Gordo Index (BGI) in Brazil. The objective was to develop a model that bestportrays this commodity's behaviour to estimate futures prices more accurately.The database created contained 2,010 daily entries in which trade in futurescontracts occurred, as well as BGI spot sales in the market, from 1 December2006 to 30 April 2015. One of the most important reasons why this type of riskneeds to be measured is to set loss limits. To identify patterns in pricebehaviour in order to improve future transactions' results, investors mustanalyse fluctuations in assets' value for longer periods. Bibliographicresearch revealed that no other study has conducted a comprehensive analysis ofthis commodity using this approach. Cattle ranching is big business in Brazilgiven that in 2017, this sector moved 523.25 billion Brazilian reals (about130.5 billion United States dollars). In that year, agribusiness contributed22% of Brazil's total gross domestic product. Using the proposed risk modellingtechnique, economic agents can make the best decision about which optionswithin these investors' reach produce more effective risk management. Themethodology was based on Holt-Winters exponential smoothing algorithm,autoregressive integrated moving average (ARIMA), ARIMA with exogenous inputs,generalised autoregressive conditionally heteroskedastic and generalisedautoregressive moving average (GARMA) models. More specifically, 5 differentmethods were applied that allowed a comparison of 12 different models as waysto portray and predict the BGI commodity's behaviour. The results show thatGARMA with order c(2,1) and without intercept is the best model.

Modelling risk for commodities in Brazil: An application to live cattle spot and futures prices