Energy Market Intelligence with a Competitive Edge

YES. The Schork Group regularly hosts screen share sessions to explain how to apply the information provided in the reports. Contact us for more information and/or to schedule a call.

The Schork Group’s price range forecasting model applies a probability distribution to expand upon known data points to identify statically significant levels in the market that will provide support and resistance to price movement.

YES. Many companies rely on our proven methodologies to explain the specific dynamics of the energy markets. Contact us for more information

The Schork Group’s research notes are designed to clearly highlight market opportunities. When market prices are close to – or have reached – the support/resistance levels of our volatility bands, the corresponding narrative will include actions to take. The Schork Group is also available to provide guidance specific to your specific business requirements. Contact us to schedule an advisory call.

Volatility bands are computational algorithms that apply a probability distribution for each variable to extrapolate beyond the known data points and present a potential range of outcomes. The Schork Group’s quantitative analysis accounts for the impact and uncertainty in random variables and prevents a small proportion of extremely large or small values from skewing the overall distribution.

No. The Schork Group is the energy industry’s foremost provider of price range forecasting and objective analysis of the power and gas forward markets.

YES. Contact us for additional information.

YES. Readers are encouraged to contact The Schork Group with any questions and/or for more information. The Schork Group has demonstrated a proven methodology to foster relationships with customers prior to their purchasing decisions. This approach establishes the groundwork within which clients recognize the gainful benefits of having ongoing access to an independent Commodity Trading Advisor.

YES. Our accessibility is consistently cited as the distinguishing benefit of our service. Contact us for additional information.

Many companies do not have the internal resources required to monitor market dynamics and, as a result, follow structured buying programs. While this provides the stability of knowing the cost of the locked-in product, it also removes the potential to capture profits from downtrends in price activity.

We routinely help readers to design and implement strategic hedging programs that reduce the risk of upside exposure. As you become familiar with The Schork Group’s advisory services, you will be able to benchmark the advantages of following our price range forecasting models versus fixed price programs.

The Schork Group’s algorithmic-based forecasting models are based on a business philosophy of maximizing profits while minimizing risk. Our trading and hedging programs calculate the probabilities of price volatility and ensure that upside exposure is appropriately covered. Close management of procurement programs is critically important to navigate the complexities of the market and manage energy budgets. Contact us to help evaluate the risks/rewards of timing hedging decisions.

Data providers collect and analyze the current market prices of commodities that trade Over the Counter (OTC) by surveying market participants and tracking transactions. Assessments are historical information and are used by buyers and sellers as a contextual basis for spot and future term pricing.

Products that trade on an exchange are assigned a settlement price by the exchange based on a defined set of procedures. The calculations may differ slightly depending on the exchange, i.e., settlement may be the average price at which a contract trades over a specified period of time or it may be the average price at the open and close of each trading day.

The Schork Group’s probabilistic model may identify a pricing inefficiency, i.e., that that the current market is underpriced as compared to our forecasted price range. In such an instance, we will highlight this as an opportunity for buyers to hedge against upside exposure. The percentage that we recommend is based on the differential between the current assessed or settled future prices and the output from our model; the greater the variance, the more we will emphasize the importance of locking in prices. Conversely, if our model indicates that the current market is overpriced compared to our forecasted price range, we will recommend holding steady and waiting to make any purchases until the price is more in line with our projected support levels.