Renuka City (Sri Lanka) Probability of Future Stock Price Finishing Over 390.00

RENUN0000  LKR 390.00  0.25  0.06%   
Renuka City's future price is the expected price of Renuka City 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 Renuka City Hotel performance during a given time horizon utilizing its historical volatility. Check out Renuka City Backtesting, Renuka City Valuation, Renuka City Correlation, Renuka City Hype Analysis, Renuka City Volatility, Renuka City History as well as Renuka City Performance.
  
Please specify Renuka City's target price for which you would like Renuka City odds to be computed.

Renuka City Target Price Odds to finish over 390.00

The tendency of Renuka 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 PriceHorizonTarget PriceOdds to move above the current price in 90 days
 390.00 90 days 390.00 
about 5.82
Based on a normal probability distribution, the odds of Renuka City to move above the current price in 90 days from now is about 5.82 (This Renuka City Hotel probability density function shows the probability of Renuka Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Renuka City has a beta of 0.29 indicating as returns on the market go up, Renuka City average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Renuka City Hotel will be expected to be much smaller as well. Additionally Renuka City Hotel has an alpha of 0.0977, implying that it can generate a 0.0977 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Renuka City Price Density   
       Price  

Predictive Modules for Renuka City

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Renuka City Hotel. 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.
Hype
Prediction
LowEstimatedHigh
387.78390.00392.22
Details
Intrinsic
Valuation
LowRealHigh
377.78380.00429.00
Details

Renuka City Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Renuka City is not an exception. The market had few large corrections towards the Renuka City'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 Renuka City Hotel, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Renuka City within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.1
β
Beta against Dow Jones0.29
σ
Overall volatility
12.10
Ir
Information ratio 0.01

Renuka City Technical Analysis

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

Renuka City Predictive Forecast Models

Renuka City's time-series forecasting models is one of many Renuka City'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 Renuka City'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 Renuka City 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, Renuka City's short interest history, or implied volatility extrapolated from Renuka City options trading.

Other Information on Investing in Renuka Stock

Renuka City financial ratios help investors to determine whether Renuka Stock 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 Renuka with respect to the benefits of owning Renuka City security.