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@ENERGY is written completely in C and provides extremely fast calculations. It includes Excel add-in functions (XLL files), customizable Excel templates, and documentation. When installed, @ENERGY adds functions to Excel that are used like the built-in worksheet functions, so you can customize the @ENERGY templates or create new ones. @ENERGY is also available as the ErgLib™ C library for Unix and Windows programmers who want to incorporate @ENERGY functions into custom and third-party C, C++, Visual Basic, and SQL database applications. Features Cutting-edge Pricing Models You can value options using several methodologies. The Black-Scholes model values options the traditional way using lognormal price diffusion. The mean-reversion model also uses lognormal price diffusion but accounts for the tendency of commodity prices to move back to a long-run average level. The truncated distribution model includes mean reversion and allows you to specify a lower price bound, common in power markets. Flexible
Inputs With @ENERGY functions you can: Comprehensive Results Several price and risk measures can be calculated with a single function call. The scalar risk measures (gamma, vega, theta, and so forth) are easily-interpreted discrete changes in value rather than rates of change. The functions also return delta, gamma, and vega risk curves, which give your true exposure to the entire price and volatility term structure, not just the spot as with traditional risk measures. These risk curves permit precise hedging. @ENERGY calculates implied volatility for all single-asset options and implied correlation for each asset-pair of multiple-asset options. Calibration You can calculate the mean-reversion rate, forward volatility curve, spot (implied) volatility curve, and average spot volatility using option market prices/implied volatilities or the historical volatilities of futures. Coverage @ENERGY.2
values European multiple-asset and compound options, commonly used in
capacity, storage, transmission, and fuel arbitrage:
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