India Internet Ecommerce Etf Market Value
| INQQ Etf | USD 12.47 0.18 1.42% |
| Symbol | India |
India Internet Ecommerce's market price often diverges from its book value, the accounting figure shown on India's balance sheet. Smart investors calculate India Internet's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Since India Internet's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Please note, there is a significant difference between India Internet's value and its price as these two are different measures arrived at by different means. Investors typically determine if India Internet is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, India Internet'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.
India Internet '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 India Internet's etf 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 India Internet.
| 12/04/2025 |
| 03/04/2026 |
If you would invest 0.00 in India Internet on December 4, 2025 and sell it all today you would earn a total of 0.00 from holding India Internet Ecommerce or generate 0.0% return on investment in India Internet over 90 days. India Internet is related to or competes with GraniteShares ETF, First Trust, Innovator Growth, Tema Monopolies, FlexShares Developed, FT Cboe, and Global X. The fund invests in securities comprising the index or in depositary receipts representing securities of the index More
India Internet 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 India Internet's etf 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 India Internet Ecommerce upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.31) | |||
| Maximum Drawdown | 5.06 | |||
| Value At Risk | (2.25) | |||
| Potential Upside | 1.36 |
India Internet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for India Internet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as India Internet's standard deviation. In reality, there are many statistical measures that can use India Internet historical prices to predict the future India Internet's volatility.| Risk Adjusted Performance | (0.19) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | 6.22 |
India Internet March 4, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.19) | |||
| Market Risk Adjusted Performance | 6.23 | |||
| Mean Deviation | 0.7356 | |||
| Coefficient Of Variation | (382.60) | |||
| Standard Deviation | 1.04 | |||
| Variance | 1.07 | |||
| Information Ratio | (0.31) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | 6.22 | |||
| Maximum Drawdown | 5.06 | |||
| Value At Risk | (2.25) | |||
| Potential Upside | 1.36 | |||
| Skewness | (0.37) | |||
| Kurtosis | 1.14 |
India Internet Ecommerce Backtested Returns
India Internet Ecommerce holds Efficiency (Sharpe) Ratio of -0.28, which attests that the entity had a -0.28 % return per unit of risk over the last 3 months. India Internet Ecommerce exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out India Internet's Market Risk Adjusted Performance of 6.23, risk adjusted performance of (0.19), and Standard Deviation of 1.04 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of -0.0451, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning India Internet are expected to decrease at a much lower rate. During the bear market, India Internet is likely to outperform the market.
Auto-correlation | 0.75 |
Good predictability
India Internet Ecommerce has good predictability. Overlapping area represents the amount of predictability between India Internet time series from 4th of December 2025 to 18th of January 2026 and 18th of January 2026 to 4th of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of India Internet Ecommerce price movement. The serial correlation of 0.75 indicates that around 75.0% of current India Internet price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Pair Trading with India Internet
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 India Internet 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 India Internet will appreciate offsetting losses from the drop in the long position's value.Moving together with India Etf
| 0.75 | INDA | iShares MSCI India | PairCorr |
| 0.74 | INDSX | Financial Investors Trust | PairCorr |
| 0.78 | SMIN | iShares MSCI India | PairCorr |
| 0.67 | PIN | Invesco India ETF Symbol Change | PairCorr |
Moving against India Etf
| 0.89 | EFA | iShares MSCI EAFE | PairCorr |
| 0.87 | QTAP | Innovator Growth 100 | PairCorr |
| 0.86 | XTAP | Innovator Equity Acc | PairCorr |
| 0.63 | XTJA | Innovator ETFs Trust | PairCorr |
| 0.61 | XTOC | Innovator ETFs Trust | PairCorr |
The ability to find closely correlated positions to India Internet could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace India Internet 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 India Internet - 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 India Internet Ecommerce to buy it.
The correlation of India Internet 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 India Internet moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if India Internet Ecommerce 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 India Internet 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 India Internet Correlation, India Internet Volatility and India Internet Performance module to complement your research on India Internet. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
India Internet technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.