NIIT LEARNING (India) Market Value

NIITMTS Stock   422.50  0.90  0.21%   
NIIT LEARNING's market value is the price at which a share of NIIT LEARNING trades on a public exchange. It measures the collective expectations of NIIT LEARNING SYSTEMS investors about its performance. NIIT LEARNING is selling for under 422.50 as of the 17th of March 2025; that is 0.21 percent increase since the beginning of the trading day. The stock's lowest day price was 416.1.
With this module, you can estimate the performance of a buy and hold strategy of NIIT LEARNING SYSTEMS and determine expected loss or profit from investing in NIIT LEARNING over a given investment horizon. Check out NIIT LEARNING Correlation, NIIT LEARNING Volatility and NIIT LEARNING Alpha and Beta module to complement your research on NIIT LEARNING.
Symbol

Please note, there is a significant difference between NIIT LEARNING's value and its price as these two are different measures arrived at by different means. Investors typically determine if NIIT LEARNING is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, NIIT LEARNING's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

NIIT LEARNING 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to NIIT LEARNING's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of NIIT LEARNING.
0.00
12/17/2024
No Change 0.00  0.0 
In 3 months and 1 day
03/17/2025
0.00
If you would invest  0.00  in NIIT LEARNING on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding NIIT LEARNING SYSTEMS or generate 0.0% return on investment in NIIT LEARNING over 90 days. NIIT LEARNING is related to or competes with Kingfa Science, Rico Auto, GACM Technologies, COSMO FIRST, Delta Manufacturing, Tribhovandas Bhimji, and Parag Milk. NIIT LEARNING is entity of India. It is traded as Stock on NSE exchange. More

NIIT LEARNING Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure NIIT LEARNING's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess NIIT LEARNING SYSTEMS upside and downside potential and time the market with a certain degree of confidence.

NIIT LEARNING Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for NIIT LEARNING's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NIIT LEARNING's standard deviation. In reality, there are many statistical measures that can use NIIT LEARNING historical prices to predict the future NIIT LEARNING's volatility.
Hype
Prediction
LowEstimatedHigh
416.45418.37464.75
Details
Intrinsic
Valuation
LowRealHigh
391.42393.34464.75
Details
Naive
Forecast
LowNextHigh
430.82432.74434.66
Details
Earnings
Estimates (0)
LowProjected EPSHigh
4.534.594.65
Details

NIIT LEARNING SYSTEMS Backtested Returns

NIIT LEARNING SYSTEMS has Sharpe Ratio of -0.0998, which conveys that the firm had a -0.0998 % return per unit of volatility over the last 3 months. NIIT LEARNING exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify NIIT LEARNING's mean deviation of 1.48, and Risk Adjusted Performance of (0.1) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.16, which conveys not very significant fluctuations relative to the market. As returns on the market increase, NIIT LEARNING's returns are expected to increase less than the market. However, during the bear market, the loss of holding NIIT LEARNING is expected to be smaller as well. At this point, NIIT LEARNING SYSTEMS has a negative expected return of -0.19%. Please make sure to verify NIIT LEARNING's value at risk, as well as the relationship between the daily balance of power and price action indicator , to decide if NIIT LEARNING SYSTEMS performance from the past will be repeated in the future.

Auto-correlation

    
  -0.17  

Insignificant reverse predictability

NIIT LEARNING SYSTEMS has insignificant reverse predictability. Overlapping area represents the amount of predictability between NIIT LEARNING time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of NIIT LEARNING SYSTEMS price movement. The serial correlation of -0.17 indicates that over 17.0% of current NIIT LEARNING price fluctuation can be explain by its past prices.
Correlation Coefficient-0.17
Spearman Rank Test-0.2
Residual Average0.0
Price Variance398.29

NIIT LEARNING SYSTEMS lagged returns against current returns

Autocorrelation, which is NIIT LEARNING stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting NIIT LEARNING's stock expected returns. We can calculate the autocorrelation of NIIT LEARNING returns to help us make a trade decision. For example, suppose you find that NIIT LEARNING has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

NIIT LEARNING regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If NIIT LEARNING stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NIIT LEARNING stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NIIT LEARNING stock over time.
   Current vs Lagged Prices   
       Timeline  

NIIT LEARNING Lagged Returns

When evaluating NIIT LEARNING's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NIIT LEARNING stock have on its future price. NIIT LEARNING autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, NIIT LEARNING autocorrelation shows the relationship between NIIT LEARNING stock current value and its past values and can show if there is a momentum factor associated with investing in NIIT LEARNING SYSTEMS.
   Regressed Prices   
       Timeline  

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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.