![]() CNBC: has a web page dedicated to oil news.Reuters also publishes frequent pieces detailing oil’s price movements and the factors behind those movements. It also offers more recent in-depth stories on, and analysis of, the sector as a whole, including price-driving sector updates, and it is good at releasing any imperative news as it is made public. Reuters Commodities Page: The Reuters news service has a commodity-specific portion of its website that releases breaking oil news, background stories, and current prices.In addition, MarketWatch offers a more in-depth analysis of the economic news driving oil prices. Within most articles, MarketWatch also includes an active link to the price of oil, so when you read an article, the price quote included is current. The site has an active link on its landing page showing the price of WTI oil. The site provides current oil price information, stories detailing oil’s price path-including premarket and closing bell commentary-and multiple feature articles. MarketWatch also provides details when necessary, posting stories, sometimes only a paragraph or two, to elaborate on its headlines, and updating them throughout the day. These headlines can be found at the top right of its home page under the “Latest” tab. Despite covering all aspects of financial markets, it tends to be among the first to break stories, putting out headlines as soon as news hits. MarketWatch: MarketWatch provides a wide range of business news, personal finance information, real-time commentary, investment tools, and data.DSGE models sometimes work, but their success depends on events and policies remaining unchanged, as DSGE calculations are based on historical observations. Dynamic stochastic general equilibrium graphs: Dynamic stochastic general equilibrium (DSGE) models use macroeconomic principles to explain complex economic phenomena-in this case, oil prices.Bayesian autoregressive models: One way to improve upon the standard regression-based model is by adding calculations to gauge the probability of the impact of certain predicted events on oil. Most contemporary economists like to use the Bayesian vector autoregressive (BVAR) model for predicting oil prices. ![]() Time-series analysis sometimes errs, but it usually produces more accurate results when economists apply it to shorter time spans. These models analyze the history of oil at various points in time to extract meaningful statistics and predict future values based on previously observed values.
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