Near Intelligence Stock Beta
| NIRDelisted Stock | 1.49 0.10 6.29% |
Near Intelligence fundamentals help investors to digest information that contributes to Near Intelligence's financial success or failures. It also enables traders to predict the movement of Near Stock. The fundamental analysis module provides a way to measure Near Intelligence's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Near Intelligence stock.
Near |
Near Intelligence Company Beta Analysis
Near Intelligence's Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
Current Near Intelligence Beta | 0.57 |
Most of Near Intelligence's fundamental indicators, such as Beta, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Near Intelligence is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
CompetitionIn accordance with the recently published financial statements, Near Intelligence has a Beta of 0.575. This is 45.75% lower than that of the Software sector and 75.53% lower than that of the Information Technology industry. The beta for all United States stocks is notably lower than that of the firm.
Near Beta Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Near Intelligence's direct or indirect competition against its Beta to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Near Intelligence could also be used in its relative valuation, which is a method of valuing Near Intelligence by comparing valuation metrics of similar companies.Near Intelligence is currently under evaluation in beta category among its peers.
As returns on the market increase, Near Intelligence's returns are expected to increase less than the market. However, during the bear market, the loss of holding Near Intelligence is expected to be smaller as well.
Near Fundamentals
| Profit Margin | (1.04) % | |||
| Operating Margin | (0.91) % | |||
| Current Valuation | 82.54 M | |||
| Shares Outstanding | 51.75 M | |||
| Shares Owned By Insiders | 58.39 % | |||
| Shares Owned By Institutions | 28.39 % | |||
| Number Of Shares Shorted | 1.67 M | |||
| Revenue | 64.06 M | |||
| Gross Profit | 41.08 M | |||
| EBITDA | (47.2 M) | |||
| Net Income | (104.22 M) | |||
| Total Debt | 21.26 M | |||
| Book Value Per Share | 0.08 X | |||
| Cash Flow From Operations | (21.6 M) | |||
| Short Ratio | 0.38 X | |||
| Earnings Per Share | (2.01) X | |||
| Target Price | 2.0 | |||
| Beta | 0.57 | |||
| Market Capitalization | 1.71 M | |||
| Total Asset | 117.77 M | |||
| Retained Earnings | (136.37 M) | |||
| Working Capital | 4.68 M | |||
| Z Score | -2.3 | |||
| Net Asset | 117.77 M |
About Near Intelligence Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Near Intelligence's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Near Intelligence using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Near Intelligence 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.
Please read more on our fundamental analysis page.
Pair Trading with Near Intelligence
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Near Intelligence position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Near Intelligence will appreciate offsetting losses from the drop in the long position's value.Moving against Near Stock
| 0.8 | HD | Home Depot | PairCorr |
| 0.79 | T | ATT Inc Fiscal Year End 22nd of January 2025 | PairCorr |
| 0.77 | INTC | Intel Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.75 | AXP | American Express Fiscal Year End 24th of January 2025 | PairCorr |
| 0.63 | CVX | Chevron Corp Sell-off Trend | PairCorr |
The ability to find closely correlated positions to Near Intelligence could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Near Intelligence when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Near Intelligence - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Near Intelligence to buy it.
The correlation of Near Intelligence is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Near Intelligence moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Near Intelligence moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Near Intelligence can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Other Consideration for investing in Near Stock
If you are still planning to invest in Near Intelligence check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Near Intelligence's history and understand the potential risks before investing.
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Stocks Directory Find actively traded stocks across global markets | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |