HSBC FTSE (UK) Market Value
HPRD Etf | 22.75 0.01 0.04% |
Symbol | HSBC |
HSBC FTSE '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 FTSE'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 FTSE.
06/05/2024 |
| 12/02/2024 |
If you would invest 0.00 in HSBC FTSE on June 5, 2024 and sell it all today you would earn a total of 0.00 from holding HSBC FTSE EPRA or generate 0.0% return on investment in HSBC FTSE over 180 days. HSBC FTSE is related to or competes with HSBC FTSE, HSBC SP, HSBC NASDAQ, and HSBC Emerging. HSBC FTSE is entity of United Kingdom. It is traded as Etf on LSE exchange. More
HSBC FTSE 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 FTSE'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 FTSE EPRA upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.7807 | |||
Information Ratio | (0.15) | |||
Maximum Drawdown | 3.18 | |||
Value At Risk | (1.16) | |||
Potential Upside | 1.19 |
HSBC FTSE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HSBC FTSE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HSBC FTSE's standard deviation. In reality, there are many statistical measures that can use HSBC FTSE historical prices to predict the future HSBC FTSE's volatility.Risk Adjusted Performance | 0.0274 | |||
Jensen Alpha | 0.0018 | |||
Total Risk Alpha | (0.11) | |||
Sortino Ratio | (0.14) | |||
Treynor Ratio | 0.1424 |
HSBC FTSE EPRA Backtested Returns
Currently, HSBC FTSE EPRA is out of control. HSBC FTSE EPRA retains Efficiency (Sharpe Ratio) of 0.0312, which attests that the entity had a 0.0312% return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for HSBC FTSE, which you can use to evaluate the volatility of the entity. Please check out HSBC FTSE's Downside Deviation of 0.7807, market risk adjusted performance of 0.1524, and Semi Deviation of 0.7492 to validate if the risk estimate we provide is consistent with the expected return of 0.0231%. The etf owns a Beta (Systematic Risk) of 0.12, which attests to not very significant fluctuations relative to the market. As returns on the market increase, HSBC FTSE's returns are expected to increase less than the market. However, during the bear market, the loss of holding HSBC FTSE is expected to be smaller as well.
Auto-correlation | -0.63 |
Very good reverse predictability
HSBC FTSE EPRA has very good reverse predictability. Overlapping area represents the amount of predictability between HSBC FTSE time series from 5th of June 2024 to 3rd of September 2024 and 3rd of September 2024 to 2nd 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 FTSE EPRA price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current HSBC FTSE price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.63 | |
Spearman Rank Test | -0.59 | |
Residual Average | 0.0 | |
Price Variance | 0.17 |
HSBC FTSE EPRA lagged returns against current returns
Autocorrelation, which is HSBC FTSE 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 FTSE's etf expected returns. We can calculate the autocorrelation of HSBC FTSE returns to help us make a trade decision. For example, suppose you find that HSBC FTSE 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 FTSE 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 FTSE etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HSBC FTSE etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HSBC FTSE etf over time.
Current vs Lagged Prices |
Timeline |
HSBC FTSE Lagged Returns
When evaluating HSBC FTSE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HSBC FTSE etf have on its future price. HSBC FTSE 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 FTSE autocorrelation shows the relationship between HSBC FTSE etf current value and its past values and can show if there is a momentum factor associated with investing in HSBC FTSE EPRA.
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.Other Information on Investing in HSBC Etf
HSBC FTSE 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 FTSE security.