LIVINGTRUST MORTGAGE (Nigeria) Probability of Future Stock Price Finishing Under 3.01
| LIVINGTRUST | 3.30 0.30 10.00% |
LIVINGTRUST |
LIVINGTRUST MORTGAGE Target Price Odds to finish below 3.01
The tendency of LIVINGTRUST Stock 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 3.01 or more in 90 days |
| 3.30 | 90 days | 3.01 | about 30.59 |
Based on a normal probability distribution, the odds of LIVINGTRUST MORTGAGE to drop to 3.01 or more in 90 days from now is about 30.59 (This LIVINGTRUST MORTGAGE BANK probability density function shows the probability of LIVINGTRUST Stock to fall within a particular range of prices over 90 days) . Probability of LIVINGTRUST MORTGAGE BANK price to stay between 3.01 and its current price of 3.3 at the end of the 90-day period is about 66.38 .
Assuming the 90 days trading horizon LIVINGTRUST MORTGAGE BANK has a beta of -0.12. This indicates as returns on the benchmark increase, returns on holding LIVINGTRUST MORTGAGE are expected to decrease at a much lower rate. During a bear market, however, LIVINGTRUST MORTGAGE BANK is likely to outperform the market. Additionally LIVINGTRUST MORTGAGE BANK has an alpha of 0.0319, implying that it can generate a 0.0319 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). LIVINGTRUST MORTGAGE Price Density |
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Predictive Modules for LIVINGTRUST MORTGAGE
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LIVINGTRUST MORTGAGE BANK. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.LIVINGTRUST MORTGAGE Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. LIVINGTRUST MORTGAGE is not an exception. The market had few large corrections towards the LIVINGTRUST MORTGAGE'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 LIVINGTRUST MORTGAGE BANK, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of LIVINGTRUST MORTGAGE within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | -0.12 | |
σ | Overall volatility | 0.12 | |
Ir | Information ratio | 0 |
LIVINGTRUST MORTGAGE Technical Analysis
LIVINGTRUST MORTGAGE's future price can be derived by breaking down and analyzing its technical indicators over time. LIVINGTRUST Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of LIVINGTRUST MORTGAGE BANK. In general, you should focus on analyzing LIVINGTRUST Stock price patterns and their correlations with different microeconomic environments and drivers.
LIVINGTRUST MORTGAGE Predictive Forecast Models
LIVINGTRUST MORTGAGE's time-series forecasting models is one of many LIVINGTRUST MORTGAGE's stock 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 LIVINGTRUST MORTGAGE'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 stock 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 LIVINGTRUST MORTGAGE 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, LIVINGTRUST MORTGAGE's short interest history, or implied volatility extrapolated from LIVINGTRUST MORTGAGE options trading.
Additional Tools for LIVINGTRUST Stock Analysis
When running LIVINGTRUST MORTGAGE's price analysis, check to measure LIVINGTRUST MORTGAGE's 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 LIVINGTRUST MORTGAGE is operating at the current time. Most of LIVINGTRUST MORTGAGE's value examination focuses on studying past and present price action to predict the probability of LIVINGTRUST MORTGAGE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LIVINGTRUST MORTGAGE's price. Additionally, you may evaluate how the addition of LIVINGTRUST MORTGAGE to your portfolios can decrease your overall portfolio volatility.