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Market Depth in Lean Hog and Live Cattle Futures Markets 31
Frank, Julieta; Garcia, Philip.
Liquidity costs in futures markets are not observed directly because bids and offers occur in an open outcry pit and are not recorded. Traditional estimation of these costs has focused on bidask spreads using transaction prices. However, the bid-ask spread only captures the tightness of the market price. As the volume increases measures of market depth which identify how the order flow moves prices become important information. We estimate market depth for lean hogs and live cattle markets using a Bayesian MCMC method to estimate unobserved data. While the markets are highly liquid, our results show that cost- and risk-reducing strategies may exist. Liquidity costs are highest when larger volumes are traded at distant contracts. For hogs the market becomes...
Tipo: Conference Paper or Presentation Palavras-chave: Bayesian MCMC; Lean hog futures; Liquidity cost; Live cattle futures; Market depth; Market microstructure; Agricultural Finance.
Ano: 2008 URL: http://purl.umn.edu/37613
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Household food expenditures in the United States: A Bayesian MCMC approach to censored equation systems 31
Kasteridis, Panagiotis P.; Yen, Steven T..
We apply a Bayesian Markov Chain Monte Carlo (MCMC) technique, along with data augmentation to accommodate censoring in the dependent variables, to the estimation of a large expenditure system of food expenditures. Our finding of significant error covariance estimates justifies estimation of the system in improving statistical efficiency. Income, household composition, regions and other socio-demographic variables are found to play significant roles in determining household food expenditures.
Tipo: Conference Paper or Presentation Palavras-chave: Bayesian MCMC; Censored equation system; Consumer Expenditure Survey; Food Consumption/Nutrition/Food Safety; C11; C34; D12; C11; C34; D12.
Ano: 2010 URL: http://purl.umn.edu/61763
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