Monthly Commodity Futures Forecasts: Oct 1, 2016 - Nov 01, 2016
Evgeny Ilyukhin | Oct 12, 2016 08:54PM ET
This article aims to provide price forecasts for commodity futures for November 01, 2016. The tables below show the monthly commodity futures prices in US dollars over the period from June 2016 to October 2016 (commodity exchanges data) and forecasted period - November 2016 (author’s calculations).
The commodities are classified and placed in alphabetical order. The commodity metrics and names of exchanges are provided. Forecasted values: increase in green; decrease in red. Forecasts are projected with an Autoregressive Integrated Moving Average (ARIMA) model based on monthly historical data.
The notable positive changes are expected for soybean meal (7.99%), sugar (6.20%) and orange juice (5.91%). Lean hogs (-11.13%), live cattle (-8.31%) and coffee (-7.04%) will likely drop in price by November 1, 2016. On the group level, grains and softs are expected to rise over the period.
Get The News You Want
Trading in financial instruments and/or cryptocurrencies involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all investors. Prices of cryptocurrencies are extremely volatile and may be affected by external factors such as financial, regulatory or political events. Trading on margin increases the financial risks.
Before deciding to trade in financial instrument or cryptocurrencies you should be fully informed of the risks and costs associated with trading the financial markets, carefully consider your investment objectives, level of experience, and risk appetite, and seek professional advice where needed.
Fusion Media would like to remind you that the data contained in this website is not necessarily real-time nor accurate. The data and prices on the website are not necessarily provided by any market or exchange, but may be provided by market makers, and so prices may not be accurate and may differ from the actual price at any given market, meaning prices are indicative and not appropriate for trading purposes. Fusion Media and any provider of the data contained in this website will not accept liability for any loss or damage as a result of your trading, or your reliance on the information contained within this website.
It is prohibited to use, store, reproduce, display, modify, transmit or distribute the data contained in this website without the explicit prior written permission of Fusion Media and/or the data provider. All intellectual property rights are reserved by the providers and/or the exchange providing the data contained in this website.
Fusion Media may be compensated by the advertisers that appear on the website, based on your interaction with the advertisements or advertisers.