NIIT LEARNING (India) Probability of Future Stock Price Finishing Over 465.86

NIITMTS Stock   470.10  4.45  0.96%   
NIIT LEARNING's future price is the expected price of NIIT LEARNING 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 NIIT LEARNING SYSTEMS performance during a given time horizon utilizing its historical volatility. Check out NIIT LEARNING Backtesting, NIIT LEARNING Valuation, NIIT LEARNING Correlation, NIIT LEARNING Hype Analysis, NIIT LEARNING Volatility, NIIT LEARNING History as well as NIIT LEARNING Performance.
  
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NIIT LEARNING Target Price Odds to finish over 465.86

The tendency of NIIT 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 stay above  465.86  in 90 days
 470.10 90 days 465.86 
about 68.13
Based on a normal probability distribution, the odds of NIIT LEARNING to stay above  465.86  in 90 days from now is about 68.13 (This NIIT LEARNING SYSTEMS probability density function shows the probability of NIIT Stock to fall within a particular range of prices over 90 days) . Probability of NIIT LEARNING SYSTEMS price to stay between  465.86  and its current price of 470.1 at the end of the 90-day period is nearly 4.91 .
Assuming the 90 days trading horizon NIIT LEARNING has a beta of 0.57. This indicates as returns on the market go up, NIIT LEARNING average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding NIIT LEARNING SYSTEMS will be expected to be much smaller as well. Additionally NIIT LEARNING SYSTEMS has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   NIIT LEARNING Price Density   
       Price  

Predictive Modules for NIIT LEARNING

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NIIT LEARNING SYSTEMS. 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
463.55465.86468.17
Details
Intrinsic
Valuation
LowRealHigh
374.87377.18512.22
Details
Earnings
Estimates (0)
LowProjected EPSHigh
4.404.404.40
Details

NIIT LEARNING Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. NIIT LEARNING is not an exception. The market had few large corrections towards the NIIT LEARNING'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 NIIT LEARNING SYSTEMS, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of NIIT LEARNING within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.1
β
Beta against Dow Jones0.57
σ
Overall volatility
31.74
Ir
Information ratio -0.07

NIIT LEARNING 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 NIIT LEARNING for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for NIIT LEARNING SYSTEMS can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
NIIT LEARNING generated a negative expected return over the last 90 days
NIIT LEARNING is unlikely to experience financial distress in the next 2 years
About 52.0% of the company outstanding shares are owned by corporate insiders

NIIT LEARNING 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 NIIT Stock often depends not only on the future outlook of the current and potential NIIT LEARNING'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. NIIT LEARNING's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding140.1 M
Cash And Short Term Investments6.6 B

NIIT LEARNING Technical Analysis

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

NIIT LEARNING Predictive Forecast Models

NIIT LEARNING's time-series forecasting models is one of many NIIT LEARNING'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 NIIT LEARNING'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 NIIT LEARNING SYSTEMS

Checking the ongoing alerts about NIIT LEARNING for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for NIIT LEARNING SYSTEMS help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
NIIT LEARNING generated a negative expected return over the last 90 days
NIIT LEARNING is unlikely to experience financial distress in the next 2 years
About 52.0% of the company outstanding shares are owned by corporate insiders

Additional Tools for NIIT Stock Analysis

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