NIIT Learning Systems downgraded to Hold by MarketsMOJO due to technical trend and recent performance. - MarketsMojo
| NIITMTS Stock | 470.10 4.45 0.96% |
Slightly above 51% of NIIT LEARNING's investor base is interested to short. The analysis of overall sentiment of trading NIIT LEARNING SYSTEMS stock suggests that many investors are impartial at this time. NIIT LEARNING's investing sentiment can be driven by a variety of factors including economic data, NIIT LEARNING's earnings reports, geopolitical events, and overall market trends.
NIIT LEARNING stock news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of NIIT daily returns and investor perception about the current price of NIIT LEARNING SYSTEMS as well as its diversification or hedging effects on your existing portfolios.
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NIIT Learning Systems downgraded to Hold by MarketsMOJO due to technical trend and recent performance. MarketsMojo
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NIIT LEARNING Fundamental Analysis
We analyze NIIT LEARNING's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of NIIT LEARNING using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of NIIT LEARNING based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Probability Of Bankruptcy
Probability Of Bankruptcy Comparative Analysis
NIIT LEARNING is currently under evaluation in probability of bankruptcy category among its peers. Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
NIIT LEARNING SYSTEMS Potential Pair-trading
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with NIIT LEARNING stock to make a market-neutral strategy. Peer analysis of NIIT LEARNING could also be used in its relative valuation, which is a method of valuing NIIT LEARNING by comparing valuation metrics with similar companies.
Peers
NIIT LEARNING Related Equities
| ABDL | Allied Blenders | 4.21 | ||||
| MEDPLUS | Medplus Health | 2.71 | ||||
| RKDL | Ravi Kumar | 2.00 | ||||
| METROPOLIS | Metropolis Healthcare | 0.50 | ||||
| TCI | Transport | 0.11 | ||||
| LANDMARK | Landmark Cars | 0.22 | ||||
| YATHARTH | Yatharth Hospital | 0.76 |
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.