Forecasting futures trading volume using neural networks
Article Abstract:
A backpropagation neural network was used in the time series forecasting of futures trading volume for commodities on the Winnipeg Commodity Exchange. The neural network outperformed the naive model and an ARIMA model and was able to provide forecasts up to nine months into the future. The gradient descent algorithm was used in providing the forecasts.
Publication Name: Journal of Futures Markets
Subject: Business, general
ISSN: 0270-7314
Year: 1995
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Volatility and commodity price dynamics
Article Abstract:
Volatility in commodity prices affects market variables like marginal value of storage and marginal cost of production etc. A study of the role of volatility and the factors determining the volatility like spot and futures commodity prices is presented.
Publication Name: Journal of Futures Markets
Subject: Business, general
ISSN: 0270-7314
Year: 2004
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Persistence of volatility in futures markets
Article Abstract:
The characteristics of volatility key measures in various futures options are evaluated for providing improved volatility behavior and derivative values.
Publication Name: Journal of Futures Markets
Subject: Business, general
ISSN: 0270-7314
Year: 2006
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