Kunlun Energy Co Stock Probability of Future Pink Sheet Price Finishing Over 14.08

KLYCY Stock  USD 11.00  0.13  1.20%   
Kunlun Energy's future price is the expected price of Kunlun Energy instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Kunlun Energy Co performance during a given time horizon utilizing its historical volatility. Check out Kunlun Energy Backtesting, Kunlun Energy Valuation, Kunlun Energy Correlation, Kunlun Energy Hype Analysis, Kunlun Energy Volatility, Kunlun Energy History as well as Kunlun Energy Performance.
  
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Kunlun Energy Target Price Odds to finish over 14.08

The tendency of Kunlun Pink Sheet 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 PriceHorizonTarget PriceOdds to move over $ 14.08  or more in 90 days
 11.00 90 days 14.08 
near 1
Based on a normal probability distribution, the odds of Kunlun Energy to move over $ 14.08  or more in 90 days from now is near 1 (This Kunlun Energy Co probability density function shows the probability of Kunlun Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Kunlun Energy price to stay between its current price of $ 11.00  and $ 14.08  at the end of the 90-day period is about 1.49 .
Assuming the 90 days horizon Kunlun Energy has a beta of 0.0806. This indicates as returns on the market go up, Kunlun Energy average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Kunlun Energy Co will be expected to be much smaller as well. Additionally Kunlun Energy Co has an alpha of 0.184, implying that it can generate a 0.18 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Kunlun Energy Price Density   
       Price  

Predictive Modules for Kunlun Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kunlun Energy. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Kunlun Energy'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.
Hype
Prediction
LowEstimatedHigh
7.6111.0014.39
Details
Intrinsic
Valuation
LowRealHigh
5.478.8612.25
Details

Kunlun Energy Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Kunlun Energy is not an exception. The market had few large corrections towards the Kunlun Energy'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 Kunlun Energy Co, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Kunlun Energy within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.18
β
Beta against Dow Jones0.08
σ
Overall volatility
0.46
Ir
Information ratio 0.05

Kunlun Energy 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 Kunlun Energy for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Kunlun Energy can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Kunlun Energy had very high historical volatility over the last 90 days

Kunlun Energy 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 Kunlun Pink Sheet often depends not only on the future outlook of the current and potential Kunlun Energy'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. Kunlun Energy's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding8.7 B

Kunlun Energy Technical Analysis

Kunlun Energy's future price can be derived by breaking down and analyzing its technical indicators over time. Kunlun Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Kunlun Energy Co. In general, you should focus on analyzing Kunlun Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.

Kunlun Energy Predictive Forecast Models

Kunlun Energy's time-series forecasting models is one of many Kunlun Energy's pink sheet 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 Kunlun Energy'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 pink sheet market movement and maximize returns from investment trading.

Things to note about Kunlun Energy

Checking the ongoing alerts about Kunlun Energy for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Kunlun Energy help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Kunlun Energy had very high historical volatility over the last 90 days

Additional Tools for Kunlun Pink Sheet Analysis

When running Kunlun Energy's price analysis, check to measure Kunlun Energy'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 Kunlun Energy is operating at the current time. Most of Kunlun Energy's value examination focuses on studying past and present price action to predict the probability of Kunlun Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kunlun Energy's price. Additionally, you may evaluate how the addition of Kunlun Energy to your portfolios can decrease your overall portfolio volatility.