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  2. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable. Others disagree and those with this viewpoint possess ...

  3. Will Tesla Stock Go Up? See Stock Forecasts for 2023 ... - AOL

    www.aol.com/tesla-stock-forecast-where-stock...

    As of Oct. 27, 2023, analysts’ 12-month Tesla stock predictions range from $22.95 to $358.38. The average price target is $215.52, which means that the average Tesla stock forecast calls for ...

  4. Financial forecast - Wikipedia

    en.wikipedia.org/wiki/Financial_forecast

    A financial forecast is an estimate of future financial outcomes for a company or project, usually applied in budgeting, capital budgeting and / or valuation. Depending on context, the term may also refer to listed company (quarterly) earnings guidance .

  5. Economic forecasting - Wikipedia

    en.wikipedia.org/wiki/Economic_forecasting

    Economic forecasting is the process of making predictions about the economy. Forecasts can be carried out at a high level of aggregation—for example for GDP, inflation, unemployment or the fiscal deficit—or at a more disaggregated level, for specific sectors of the economy or even specific firms.

  6. Prediction market - Wikipedia

    en.wikipedia.org/wiki/Prediction_market

    The Hollywood Stock Exchange, a virtual market game established in 1996 and now a division of Cantor Fitzgerald, LP, in which players buy and sell prediction shares of movies, actors, directors, and film-related options, correctly predicted 32 of 2006's 39 big-category Oscar nominees and 7 out of 8 top category winners.

  7. Forecasting - Wikipedia

    en.wikipedia.org/wiki/Forecasting

    Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.

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