India Internet Ecommerce Etf Market Value
| INQQ Etf | USD 16.48 0.01 0.06% |
| Symbol | India |
The market value of India Internet Ecommerce is measured differently than its book value, which is the value of India that is recorded on the company's balance sheet. Investors also form their own opinion of India Internet's value that differs from its market value or its book value, called intrinsic value, which is India Internet's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because India Internet's market value can be influenced by many factors that don't directly affect India Internet's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic 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.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in India Internet on October 29, 2024 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 30 days. India Internet is related to or competes with IShares India, IShares MSCI, VanEck Vietnam, and IShares MSCI. 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.
| Downside Deviation | 1.08 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 4.54 | |||
| Value At Risk | (1.46) | |||
| Potential Upside | 1.76 |
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 | 0.0393 | |||
| Jensen Alpha | 0.0373 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 2.72 |
India Internet Ecommerce Backtested Returns
Currently, India Internet Ecommerce is very steady. India Internet Ecommerce holds Efficiency (Sharpe) Ratio of 0.0397, which attests that the entity had a 0.0397% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for India Internet Ecommerce, which you can use to evaluate the volatility of the entity. Please check out India Internet's Downside Deviation of 1.08, risk adjusted performance of 0.0393, and Market Risk Adjusted Performance of 2.73 to validate if the risk estimate we provide is consistent with the expected return of 0.0414%. The etf retains a Market Volatility (i.e., Beta) of 0.0143, which attests to not very significant fluctuations relative to the market. As returns on the market increase, India Internet's returns are expected to increase less than the market. However, during the bear market, the loss of holding India Internet is expected to be smaller as well.
Auto-correlation | 0.62 |
Good predictability
India Internet Ecommerce has good predictability. Overlapping area represents the amount of predictability between India Internet time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 2024. 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 0.62 indicates that roughly 62.0% of current India Internet price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
India Internet Ecommerce lagged returns against current returns
Autocorrelation, which is India Internet etf'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 India Internet's etf expected returns. We can calculate the autocorrelation of India Internet returns to help us make a trade decision. For example, suppose you find that India Internet has exhibited high autocorrelation historically, and you observe that the etf 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 |
India Internet 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 India Internet etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if India Internet etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in India Internet etf over time.
Current vs Lagged Prices |
| Timeline |
India Internet Lagged Returns
When evaluating India Internet's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of India Internet etf have on its future price. India Internet 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, India Internet autocorrelation shows the relationship between India Internet etf current value and its past values and can show if there is a momentum factor associated with investing in India Internet Ecommerce.
Regressed Prices |
| Timeline |
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
| 0.79 | INDA | iShares MSCI India | PairCorr |
| 0.77 | EPI | WisdomTree India Earnings | PairCorr |
| 0.86 | INDSX | Financial Investors Trust | PairCorr |
| 0.78 | SMIN | iShares MSCI India | PairCorr |
| 0.77 | PIN | Invesco India ETF | 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 Alpha and Beta module to complement your research on India Internet. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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.