HANetf INQQIndiaInterne's market value is the price at which a share of HANetf INQQIndiaInterne trades on a public exchange. It measures the collective expectations of HANetf INQQIndiaInternetEcommESGSETFAcc investors about its performance. HANetf INQQIndiaInterne is trading at 9.95 as of the 23rd of December 2024, a 1.63 percent increase since the beginning of the trading day. The etf's lowest day price was 9.86. With this module, you can estimate the performance of a buy and hold strategy of HANetf INQQIndiaInternetEcommESGSETFAcc and determine expected loss or profit from investing in HANetf INQQIndiaInterne over a given investment horizon. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
HANetf
HANetf INQQIndiaInterne '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 HANetf INQQIndiaInterne'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 HANetf INQQIndiaInterne.
0.00
01/03/2023
No Change 0.00
0.0
In 1 year 11 months and 22 days
12/23/2024
0.00
If you would invest 0.00 in HANetf INQQIndiaInterne on January 3, 2023 and sell it all today you would earn a total of 0.00 from holding HANetf INQQIndiaInternetEcommESGSETFAcc or generate 0.0% return on investment in HANetf INQQIndiaInterne over 720 days.
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure HANetf INQQIndiaInterne'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 HANetf INQQIndiaInternetEcommESGSETFAcc upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for HANetf INQQIndiaInterne's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HANetf INQQIndiaInterne's standard deviation. In reality, there are many statistical measures that can use HANetf INQQIndiaInterne historical prices to predict the future HANetf INQQIndiaInterne's volatility.
At this point, HANetf INQQIndiaInterne is very steady. HANetf INQQIndiaInterne holds Efficiency (Sharpe) Ratio of 0.0987, which attests that the etf had a 0.0987% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for HANetf INQQIndiaInterne, which you can use to evaluate the volatility of the entity. Please check out HANetf INQQIndiaInterne's semi deviation of 0.8484, and Market Risk Adjusted Performance of 0.2593 to validate if the risk estimate we provide is consistent with the expected return of 0.1%. The entity retains a Market Volatility (i.e., Beta) of 0.41, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, HANetf INQQIndiaInterne's returns are expected to increase less than the market. However, during the bear market, the loss of holding HANetf INQQIndiaInterne is expected to be smaller as well.
Auto-correlation
0.03
Virtually no predictability
HANetf INQQIndiaInternetEcommESGSETFAcc has virtually no predictability. Overlapping area represents the amount of predictability between HANetf INQQIndiaInterne time series from 3rd of January 2023 to 29th of December 2023 and 29th of December 2023 to 23rd of December 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 HANetf INQQIndiaInterne price movement. The serial correlation of 0.03 indicates that only 3.0% of current HANetf INQQIndiaInterne price fluctuation can be explain by its past prices.
Correlation Coefficient
0.03
Spearman Rank Test
0.27
Residual Average
0.0
Price Variance
0.01
HANetf INQQIndiaInterne lagged returns against current returns
Autocorrelation, which is HANetf INQQIndiaInterne 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 HANetf INQQIndiaInterne's etf expected returns. We can calculate the autocorrelation of HANetf INQQIndiaInterne returns to help us make a trade decision. For example, suppose you find that HANetf INQQIndiaInterne 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
HANetf INQQIndiaInterne 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 HANetf INQQIndiaInterne etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HANetf INQQIndiaInterne etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HANetf INQQIndiaInterne etf over time.
Current vs Lagged Prices
Timeline
HANetf INQQIndiaInterne Lagged Returns
When evaluating HANetf INQQIndiaInterne's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HANetf INQQIndiaInterne etf have on its future price. HANetf INQQIndiaInterne 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, HANetf INQQIndiaInterne autocorrelation shows the relationship between HANetf INQQIndiaInterne etf current value and its past values and can show if there is a momentum factor associated with investing in HANetf INQQIndiaInternetEcommESGSETFAcc.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.