HSBC SP (Germany) Market Value
| H4ZF Etf | EUR 58.45 0.02 0.03% |
| Symbol | HSBC |
HSBC SP '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 HSBC SP'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 HSBC SP.
| 01/01/2023 |
| 12/21/2024 |
If you would invest 0.00 in HSBC SP on January 1, 2023 and sell it all today you would earn a total of 0.00 from holding HSBC SP 500 or generate 0.0% return on investment in HSBC SP over 720 days. HSBC SP is related to or competes with UBS Fund, Xtrackers, Xtrackers Nikkei, IShares VII, SPDR Gold, Vanguard Funds, and IShares Nikkei. The investment objective of the Fund is to replicate the performance of the SP 500 Index , while minimising as far as po... More
HSBC SP 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 HSBC SP'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 HSBC SP 500 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6111 | |||
| Information Ratio | 0.2004 | |||
| Maximum Drawdown | 6.25 | |||
| Value At Risk | (0.68) | |||
| Potential Upside | 1.08 |
HSBC SP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HSBC SP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HSBC SP's standard deviation. In reality, there are many statistical measures that can use HSBC SP historical prices to predict the future HSBC SP's volatility.| Risk Adjusted Performance | 0.1893 | |||
| Jensen Alpha | 0.1919 | |||
| Total Risk Alpha | 0.1698 | |||
| Sortino Ratio | 0.2809 | |||
| Treynor Ratio | 2.21 |
HSBC SP 500 Backtested Returns
At this point, HSBC SP is very steady. HSBC SP 500 retains Efficiency (Sharpe Ratio) of 0.22, which attests that the entity had a 0.22% return per unit of return volatility over the last 3 months. We have found twenty-eight technical indicators for HSBC SP, which you can use to evaluate the volatility of the entity. Please check out HSBC SP's Market Risk Adjusted Performance of 2.22, downside deviation of 0.6111, and Semi Deviation of 0.2366 to validate if the risk estimate we provide is consistent with the expected return of 0.19%. The etf owns a Beta (Systematic Risk) of 0.0877, which attests to not very significant fluctuations relative to the market. As returns on the market increase, HSBC SP's returns are expected to increase less than the market. However, during the bear market, the loss of holding HSBC SP is expected to be smaller as well.
Auto-correlation | 0.85 |
Very good predictability
HSBC SP 500 has very good predictability. Overlapping area represents the amount of predictability between HSBC SP time series from 1st of January 2023 to 27th of December 2023 and 27th of December 2023 to 21st 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 HSBC SP 500 price movement. The serial correlation of 0.85 indicates that around 85.0% of current HSBC SP price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 15.0 |
HSBC SP 500 lagged returns against current returns
Autocorrelation, which is HSBC SP 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 HSBC SP's etf expected returns. We can calculate the autocorrelation of HSBC SP returns to help us make a trade decision. For example, suppose you find that HSBC SP 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 |
HSBC SP 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 HSBC SP etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HSBC SP etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HSBC SP etf over time.
Current vs Lagged Prices |
| Timeline |
HSBC SP Lagged Returns
When evaluating HSBC SP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HSBC SP etf have on its future price. HSBC SP 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, HSBC SP autocorrelation shows the relationship between HSBC SP etf current value and its past values and can show if there is a momentum factor associated with investing in HSBC SP 500.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in HSBC Etf
HSBC SP financial ratios help investors to determine whether HSBC 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 HSBC with respect to the benefits of owning HSBC SP security.