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Forecasting oil prices

Forecasting crude oil prices requires analyzing a combination of factors, such as petroleum consumption, oil stock levels, and Google search volumes.

94%
Accuracy
< 2 mins
Leading indicators

Leading indicators identified with Indicio

Forecasted variable: Crude Oil Prices: West Texas Intermediate (WTI), Cushing, Oklahoma

IndicatorRelevance
Crude Oil Prices: WTI, Cushing, Oklahoma★★★
Petroleum Consumption Excluding Ethanol, Quadrillion British Thermal Units★★★
United Kingdom, Input Prices, Basic Iron, Steel and Alloys, Tubes, Pipes, Hollow Profiles and Fittings, Index, 2015 = 100★★
United States, Stocks: Crude Oil Excluding SPR (MB)★★
Google trends: Oil★
Trend: Crude Oil Prices: WTI, Cushing, Oklahoma★
United States, Production of Crude Oil Including Lease Condensate★
United States, Crude Oil and Liquid Fuels, End-of-Period Inventories, Commercial Inventory★
United States, Stocks: Crude Oil in SPR (MB)★
United Kingdom, Input Prices, Crude Oil, Index, 2015 = 100★
United States, Crude Oil and Liquid Fuels, Inventory Net Withdrawals★
CBOE Crude Oil ETF Volatility Index★
Crude Oil Production, Total OPEC, Thousand Barrels/Day★

Indicio captures the group effect of the leading indicators; the relevance ranking of each indicator changes over time.

Indicio captures the group effect of the leading indicators. The relevance ranking of each indicator changes over time.

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Trend: Crude Oil Prices: West Texas Intermediate (WTI), Cushing, Oklahoma

This indicator covers supply and demand balance, production activity, lead-lag effects, market sentiment, seasonal patterns, and links to the construction materials and machinery sectors.

CBOE Crude Oil ETF Volatility Index

This indicator relates to market dynamics, consumer confidence, spending trends, and seasonal patterns that can affect orders received by construction machinery manufacturers.

United States, Production of Crude Oil Including Lease Condensate

This indicator uses Hitachi Construction Machinery, a major construction machinery company, as a signal. Significant changes in its sales or orders may reflect broader market conditions and affect machinery demand.

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