Kamada (Israel) Chance of Future Stock Price Finishing Under 2,459
KMDA Stock | ILA 1,909 3.00 0.16% |
Kamada |
Kamada Target Price Odds to finish below 2,459
The tendency of Kamada 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 move below current price in 90 days |
1,909 | 90 days | 1,909 | about 1.3 |
Based on a normal probability distribution, the odds of Kamada to move below current price in 90 days from now is about 1.3 (This Kamada probability density function shows the probability of Kamada Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Kamada has a beta of 0.29. This indicates as returns on the market go up, Kamada average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Kamada will be expected to be much smaller as well. Additionally Kamada has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite. Kamada Price Density |
Price |
Predictive Modules for Kamada
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kamada. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kamada'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.
Kamada Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Kamada is not an exception. The market had few large corrections towards the Kamada'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 Kamada, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Kamada within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | -0.22 | |
β | Beta against NYSE Composite | 0.29 | |
σ | Overall volatility | 101.94 | |
Ir | Information ratio | -0.16 |
Kamada Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Kamada for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Kamada can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.Kamada generated a negative expected return over the last 90 days | |
The company reported the revenue of 103.64 M. Net Loss for the year was (2.23 M) with profit before overhead, payroll, taxes, and interest of 30.33 M. | |
Kamada has accumulated about 104.55 M in cash with (8.82 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 2.23. | |
Roughly 19.0% of the company outstanding shares are owned by corporate insiders |
Kamada Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Kamada Stock often depends not only on the future outlook of the current and potential Kamada's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Kamada's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 44.8 M |
Kamada Technical Analysis
Kamada's future price can be derived by breaking down and analyzing its technical indicators over time. Kamada Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Kamada. In general, you should focus on analyzing Kamada Stock price patterns and their correlations with different microeconomic environments and drivers.
Kamada Predictive Forecast Models
Kamada's time-series forecasting models is one of many Kamada'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 Kamada'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.
Things to note about Kamada
Checking the ongoing alerts about Kamada for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Kamada help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Kamada generated a negative expected return over the last 90 days | |
The company reported the revenue of 103.64 M. Net Loss for the year was (2.23 M) with profit before overhead, payroll, taxes, and interest of 30.33 M. | |
Kamada has accumulated about 104.55 M in cash with (8.82 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 2.23. | |
Roughly 19.0% of the company outstanding shares are owned by corporate insiders |
Check out Kamada Backtesting, Kamada Valuation, Kamada Correlation, Kamada Hype Analysis, Kamada Volatility, Kamada History as well as Kamada Performance. For information on how to trade Kamada Stock refer to our How to Trade Kamada Stock guide.You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Complementary Tools for Kamada Stock analysis
When running Kamada's price analysis, check to measure Kamada'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 Kamada is operating at the current time. Most of Kamada's value examination focuses on studying past and present price action to predict the probability of Kamada's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kamada's price. Additionally, you may evaluate how the addition of Kamada to your portfolios can decrease your overall portfolio volatility.
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