This report shows the change in price for exchange traded instruments through time.
This report shows are range of forward price curves for exchange traded instruments in the forward market. These price curves are compared against a simple average of the daily spot price and a 7-day moving average.
This report shows trends in the proportion of a company's generation or demand that is exposed to the physical wholesale market. The report ignores any derivative or hedge positions held by the parent companies. A measure above zero represents a long position on physical generation while a measure below zero represents a short position on physical generation.
The trade volume report presents the number of New Zealand electricity futures and options contracts traded each business day on the ASX exchange. Users are able drill down into the volume data by instrument, location, commodity, duration and maturity, or expiration date.
This report shows the open interest in exchange traded products for New Zealand electricity forward market. Users can express this in GWh, contracts or dollars.
This report calculates historical location factors for a region or node relative to a selected basis node. A location factor is simply the ratio energy prices at two different locations. They are commonly used to adjust prices from one node to what it might be at another node or in another region.
This report shows the price changes in exchange traded instruments on different trade dates in a single report.
This report derives the implied spot price for the remainder of a futures contract period from the bid-ask spread and trade within the contract period. A contract trade above the average spot price to-date indicates a market expectation that spot prices for the remainder of the contract will be higher (or vice versa).
This report shows historical location factors for a region relative to a selected basis node. A location factor is simply the ratio energy prices at two different locations. They provide useful information when seeking to manage locational price risk and can be used to adjust prices from one node to what it might be at another node or in another region.