@article{MAKHILLJAVA201211233931,
    title = {An Analysis of Taiwanese Livestock Prices: Empirical Time Series Approaches},
    journal = {Journal of Animal and Veterinary Advances},
    volume = {11},
    number = {23},
    pages = {4340-4346},
    year = {2012},
    issn = {1680-5593},
    doi = {javaa.2012.4340.4346},
    url = {https://makhillpublications.co/view-article.php?issn=1680-5593&doi=javaa.2012.4340.4346},
    author = {S.W.,S. and},
    keywords = {Forecasting,livestock price,price relationship,time series analysis,Taiwan},
    abstract = {In Taiwan, the livestock production sector is the primary 
  provider for agricultural and domestic meat consumption which is shared among 
  pork, poultry and beef. Livestock prices fluctuate based on demand, supply and 
  other factors such as the outbreak of diseases, increased production costs, 
  consumer behaviour, foreign competition and natural disasters. This study attempts 
  to model the possible cointegration of price elasticity, demonstrate the causality 
  for a directional relationship and forecast the future prices of broiler, cattle, 
  duck and hog in Taiwan by using time series analyses such as the unit root, 
  Johansen cointegration, Granger causality and variance decomposition tests. 
  The Johansen cointegration test indicated significant price elasticity among 
  the variables. The long-run Granger causality test showed that a bidirectional 
  relationship exists between hog and broiler prices and that a unidirectional 
  relationship exists from the duck price to the hog price. The Autoregressive 
  Integrated Moving Average (ARIMA) and variance decomposition methods were used 
  to predict the future livestock price and the riskiness of shocks in a future 
  12 months period.}
    }