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Platts Market Data - LNG

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https://marketplace.databricks.com/details/851c0bda-10b7-499b-8202-6a30ff1d8b2b/S-P-Global-Energy_Platts-Market-Data---LNG
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**Overview** Platts Market Data - LNG gives you the actionable, standardized numbers and transparency you need to spot opportunities and make decisions fast. Our teams of specialists connect with market participants around the world to provide you with a greater sense of market activity — essential when the smallest change can have the greatest impact. Platts LNG benchmark price assessments are widely recognized as the industry standard and are consistently used as part of contract negotiation and settlements globally. They are driven by the robustness of our publicly available price discovery methodology and the experience we’ve gained across markets, countries and time. Platts Market Data – LNG help you to: -Trade at price levels that are in sync with other market participants by having the latest global price assessments always to hand -Find your next opportunity and manage LNG market price risk by analyzing LNG Forward Curves and identify diverse trading patterns -Analyze the fundamentals affecting the price of LNG through the LNG Voyages data set, using our global LNG flows data, date of import and export, export terminal and country, ship name and volume, and import terminal and country -Develop an inherently strong pricing and business strategy by referencing daily and historical spot and contract price assessments -Write contracts and negotiate transactions with confidence by understanding price drivers and fluctuations Coverage includes: -Key benchmarks — price assessment for spot physical cargoes delivered exship into Japan and South Korea (with normalized prices for spot cargoes to China and Taiwan also included) alongside JKM® swaps -Current prices — daily LNG spot market assessments; delivered ex-ship prices for Northwest (NWE) and Mediterranean (MED) Europe, West India (WIM) and the Middle East (MEM) and free on board assessments for the US Gulf Coast (GCM) -Platts Market Data — LNG also includes LNG carrier day rates, global LNG freight route costs, and alternative fuels -Platts Market Data — LNG carrier day rates, global LNG freight route costs, and alternative fuels -Historical prices — historical database with some LNG assessments dating back to 2009 -Forward curves — assessed and quantitatively derived forward curves for JKM® swaps and the US GCM to provide further insight into future delivery contracts and analytical data for the key LNG trading hubs -Cargo data — assess our global LNG flows data through LNG Voyages **Use cases** - Quantitative Analysis - Leverage SPGCI data to design and implement complex and insightful models to support energy and commodities trading - ESG Investment Analysis - Combine SPGCI data with project data-sets into models for visibility, optimizations, and collaboration - Risk Analysis - Utilize SPGCI's independent, verifiable Risk data to support all risk management functions including validation of internal valuations and better align risk tolerance with business strategy - Fundamental Analysis - Connect SPGCI pricing data with financial and operations data, and sensing technology to optimize decision-making on spending, productivity and cycle time. - Supply Chain - Integrate SPGCI data to optimize pipeline network management and commercial processes while enabling more effective predictive operations - Asset Valuation - Evaluate ROI for Energy projects and assets. **Product details** Sample Tables: A ) PRICEDATA B ) REF_DATA_MARKETDATA Sample Fields: A ) PRICEDATA - SYMBOL - MDC - DESCRIPTION - BATE - ASSESSDATE - UOM - CURRENCY B ) REF_DATA_MARKETDATA - COMMODITY - DELIVERY_REGION - DESCRIPTION View Descriptions: - PRICEDATA - Get the latest and historical assessments by Symbol - CORRECTIONS - Get all corrections to the assessments by Symbol - REF_DATA_MARKETDATA - Get additional reference data for Symbols - MARKETDATA_DICTIONARY - Contains descriptions and examples of each of the columns in the above views for a better understanding of the dataset
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S&P Global Energy
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