Platts Forward Curves

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Sold by: S&P Global Energy

S&P Global Platts Commodity Risk Solutions provide risk valuation.

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Overview

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The offer comprises a sample data set containing approximately 100 dated records

In a market environment that generates plenty of uncertainties, Platts Forward Curves (PFC) offer an independent, verifiable source to help validate models and asset valuations, project future revenues and expenses, and better align risk tolerance with business strategy. PFC are generally utilized across multiple levels of an organization ensuring benefits far outweigh costs.

Dataset Overview:

Commodity Insights Risk Solutions delivers editorially assessed and quantitative forward curves for the following markets: Crude Oil and Refined Products, LNG, Petrochemicals, Natural Gas & Electric Power (including NGL), Energy Transition and Agriculture
Editorially observed and assessed Platts Forward Curves (PFC) that are produced by global teams of correspondents dedicated to reporting on the energy markets.
Quantitatively derived forward curves for illiquid markets (M2M)
Americas natural gas and power forward curves (M2MS-Gas and M2MS-Power) that are produced by leveraging end of day data from Intercontinental Exchange, Inc (ICE)
Daily assessments of most of the forward curves at a monthly granularity

Tables:

FORWARDCURVES_MARKETDATA
SYMBOL
ASSESSDATE
CURVE_CODE
CURVE_NAME
ROLL_DATE
EXPIRY_DATE
BATE
VALUE
MODIFIEDDATETIME

REF_DATA_FORWARDCURVES
COMMODITY
MDC
CONTRACT_TYPE
CURVE_NAME
CURVE_TYPE
CURVE_CODE
UOM
DELIVERY_REGION
HOLIDAY_SCHEDULE

Views:

FORWARDCURVES_MARKETDATA
Get the latest and historical values for Forward Curves

REF_DATA_FORWARDCURVES
Get additional reference data for Symbols

FORWARDCURVES_DICTIONARY
Contains descriptions and examples of each of the columns in the above views for a better understanding of the dataset.

Highlights

Asset Valuation Confidently assess the market values of assets and liabilities to support corporate strategies.
Market Analysis Compare current market conditions to historical time periods to analyze trends.
Quantitative Analysis Validate internally derived forward curves.

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S&P Global Energy

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Platts Forward Curves

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