Lord Abbett Investment Fund Probability of Future Mutual Fund Price Finishing Under 10.19
| LGRYX Fund | 10.27 0.01 0.1% |
Lord |
Lord Abbett Target Price Odds to finish below 10.19
The tendency of Lord Mutual Fund price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to drop to 10.19 or more in 90 days |
| 10.27 | 90 days | 10.19 | about 32.2 |
Based on a normal probability distribution, the odds of Lord Abbett to drop to 10.19 or more in 90 days from now is about 32.2 (This Lord Abbett Investment probability density function shows the probability of Lord Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Lord Abbett Investment price to stay between 10.19 and its current price of 10.27 at the end of the 90-day period is about 54.96 .
Assuming the 90 days horizon Lord Abbett has a beta of 0.0047. This indicates as returns on the market go up, Lord Abbett average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Lord Abbett Investment will be expected to be much smaller as well. Additionally Lord Abbett Investment has an alpha of 0.0104, implying that it can generate a 0.0104 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Lord Abbett Price Density |
| Price |
Predictive Modules for Lord Abbett
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lord Abbett Investment. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lord Abbett's 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.
Lord Abbett Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Lord Abbett is not an exception. The market had few large corrections towards the Lord Abbett's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Lord Abbett Investment, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Lord Abbett within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0 | |
σ | Overall volatility | 0.05 | |
Ir | Information ratio | -0.79 |
Lord Abbett Technical Analysis
Lord Abbett's future price can be derived by breaking down and analyzing its technical indicators over time. Lord Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Lord Abbett Investment. In general, you should focus on analyzing Lord Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Lord Abbett Predictive Forecast Models
Lord Abbett's time-series forecasting models is one of many Lord Abbett's mutual fund analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Lord Abbett's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the mutual fund market movement and maximize returns from investment trading.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Lord Abbett in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Lord Abbett's short interest history, or implied volatility extrapolated from Lord Abbett options trading.
Other Information on Investing in Lord Mutual Fund
Lord Abbett financial ratios help investors to determine whether Lord Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Lord with respect to the benefits of owning Lord Abbett security.
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| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |