Lifetime Brands Stock Statistic Functions Beta
| LCUT Stock | USD 5.89 0.04 0.68% |
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The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Lifetime Brands correlated with the market. If Beta is less than 0 Lifetime Brands generally moves in the opposite direction as compared to the market. If Lifetime Brands Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Lifetime Brands is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Lifetime Brands is generally in the same direction as the market. If Beta > 1 Lifetime Brands moves generally in the same direction as, but more than the movement of the benchmark.
Lifetime Brands Technical Analysis Modules
Most technical analysis of Lifetime Brands help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Lifetime from various momentum indicators to cycle indicators. When you analyze Lifetime charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Volume Indicators |
About Lifetime Brands Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Lifetime Brands. We use our internally-developed statistical techniques to arrive at the intrinsic value of Lifetime Brands based on widely used predictive technical indicators. In general, we focus on analyzing Lifetime Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Lifetime Brands's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Lifetime Brands's intrinsic value. In addition to deriving basic predictive indicators for Lifetime Brands, we also check how macroeconomic factors affect Lifetime Brands price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0233 | 0.0263 | 0.0235 | Price To Sales Ratio | 0.22 | 0.21 | 0.2 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lifetime Brands' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Additional Tools for Lifetime Stock Analysis
When running Lifetime Brands' price analysis, check to measure Lifetime Brands' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Lifetime Brands is operating at the current time. Most of Lifetime Brands' value examination focuses on studying past and present price action to predict the probability of Lifetime Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lifetime Brands' price. Additionally, you may evaluate how the addition of Lifetime Brands to your portfolios can decrease your overall portfolio volatility.