HANetf ICAV (Germany) Market Value
| EMQQ Etf | EUR 9.69 0.05 0.51% |
| Symbol | HANetf |
HANetf ICAV '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 ICAV'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 ICAV.
| 06/27/2024 |
| 12/24/2024 |
If you would invest 0.00 in HANetf ICAV on June 27, 2024 and sell it all today you would earn a total of 0.00 from holding HANetf ICAV or generate 0.0% return on investment in HANetf ICAV over 180 days. HANetf ICAV is related to or competes with UBS Fund, Xtrackers, Xtrackers Nikkei, IShares VII, SPDR Gold, Vanguard Funds, and IShares Nikkei. The EMQQ Emerging Markets Internet Ecommerce UCITS ETF seeks to provide investment results that, before fees and expense... More
HANetf ICAV 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 HANetf ICAV'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 ICAV upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.49 | |||
| Information Ratio | 0.0767 | |||
| Maximum Drawdown | 6.98 | |||
| Value At Risk | (2.40) | |||
| Potential Upside | 2.96 |
HANetf ICAV Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HANetf ICAV's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HANetf ICAV's standard deviation. In reality, there are many statistical measures that can use HANetf ICAV historical prices to predict the future HANetf ICAV's volatility.| Risk Adjusted Performance | 0.0842 | |||
| Jensen Alpha | 0.1196 | |||
| Total Risk Alpha | 0.0876 | |||
| Sortino Ratio | 0.0698 | |||
| Treynor Ratio | 0.3808 |
HANetf ICAV Backtested Returns
At this point, HANetf ICAV is not too volatile. HANetf ICAV holds Efficiency (Sharpe) Ratio of 0.0389, which attests that the etf had a 0.0389% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for HANetf ICAV, which you can use to evaluate the volatility of the entity. Please check out HANetf ICAV's market risk adjusted performance of 0.3908, and Semi Deviation of 1.13 to validate if the risk estimate we provide is consistent with the expected return of 0.051%. The entity retains a Market Volatility (i.e., Beta) of 0.33, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, HANetf ICAV's returns are expected to increase less than the market. However, during the bear market, the loss of holding HANetf ICAV is expected to be smaller as well.
Auto-correlation | -0.12 |
Insignificant reverse predictability
HANetf ICAV has insignificant reverse predictability. Overlapping area represents the amount of predictability between HANetf ICAV time series from 27th of June 2024 to 25th of September 2024 and 25th of September 2024 to 24th 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 ICAV price movement. The serial correlation of -0.12 indicates that less than 12.0% of current HANetf ICAV price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.12 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
HANetf ICAV lagged returns against current returns
Autocorrelation, which is HANetf ICAV 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 ICAV's etf expected returns. We can calculate the autocorrelation of HANetf ICAV returns to help us make a trade decision. For example, suppose you find that HANetf ICAV 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 |
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HANetf ICAV 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 ICAV etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HANetf ICAV etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HANetf ICAV etf over time.
Current vs Lagged Prices |
| Timeline |
HANetf ICAV Lagged Returns
When evaluating HANetf ICAV's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HANetf ICAV etf have on its future price. HANetf ICAV 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 ICAV autocorrelation shows the relationship between HANetf ICAV etf current value and its past values and can show if there is a momentum factor associated with investing in HANetf ICAV .
Regressed Prices |
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Currently Active Assets on Macroaxis
Other Information on Investing in HANetf Etf
HANetf ICAV financial ratios help investors to determine whether HANetf Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in HANetf with respect to the benefits of owning HANetf ICAV security.