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  2. Google Stock Price Forecast 2022-2025 - AOL

    www.aol.com/finance/google-stock-price-forecast...

    Its price prediction algorithm estimates the stock will trade at these prices over the next three years: On Oct. 27, 2023, GOOGL will trade at an estimated $140.23 per share On Oct. 28, 2024 ...

  3. 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 ...

  4. I'm Worried About A Stock Market Crash. How Can I Tell If My ...

    www.aol.com/finance/stock-market-going-crash...

    The first six months of 2022 were the worst the stock market has had in more than 40 years, officially entering a bear market on June 13. Despite some recent bouncebacks, investors remain worried.

  5. Expected shortfall - Wikipedia

    en.wikipedia.org/wiki/Expected_shortfall

    Expected shortfall is considered a more useful risk measure than VaR because it is a coherent spectral measure of financial portfolio risk. It is calculated for a given quantile -level q {\displaystyle q} and is defined to be the mean loss of portfolio value given that a loss is occurring at or below the q {\displaystyle q} -quantile.

  6. Value at risk - Wikipedia

    en.wikipedia.org/wiki/Value_at_risk

    The triggering event was the stock market crash of 1987. This was the first major financial crisis in which a lot of academically-trained quants were in high enough positions to worry about firm-wide survival. [1] The crash was so unlikely given standard statistical models, that it called the entire basis of quant finance into

  7. Efficient-market hypothesis - Wikipedia

    en.wikipedia.org/wiki/Efficient-market_hypothesis

    Research by Alfred Cowles in the 1930s and 1940s suggested that professional investors were in general unable to outperform the market. During the 1930s-1950s empirical studies focused on time-series properties, and found that US stock prices and related financial series followed a random walk model in the short-term. [8]