HSBC MSCI (Switzerland) Market Value
| HIDR Etf | USD 71.10 1.11 1.54% |
| Symbol | HSBC |
HSBC MSCI '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 MSCI'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 MSCI.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in HSBC MSCI on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding HSBC MSCI Indonesia or generate 0.0% return on investment in HSBC MSCI over 30 days. HSBC MSCI is related to or competes with UBSFund Solutions, IShares VII, IShares SP, Lyxor UCITS, and IShares JP. The investment objective of the Fund is to replicate the performance of the MSCI Indonesia Index , while minimizing as f... More
HSBC MSCI 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 MSCI'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 MSCI Indonesia upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.33) | |||
| Maximum Drawdown | 5.16 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 1.03 |
HSBC MSCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HSBC MSCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HSBC MSCI's standard deviation. In reality, there are many statistical measures that can use HSBC MSCI historical prices to predict the future HSBC MSCI's volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (0.80) |
HSBC MSCI Indonesia Backtested Returns
HSBC MSCI Indonesia retains Efficiency (Sharpe Ratio) of -0.18, which attests that the entity had a -0.18% return per unit of return volatility over the last 3 months. HSBC MSCI exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HSBC MSCI's Standard Deviation of 0.87, market risk adjusted performance of (0.79), and Coefficient Of Variation of (535.58) to validate the risk estimate we provide. The etf owns a Beta (Systematic Risk) of 0.22, which attests to not very significant fluctuations relative to the market. As returns on the market increase, HSBC MSCI's returns are expected to increase less than the market. However, during the bear market, the loss of holding HSBC MSCI is expected to be smaller as well.
Auto-correlation | 0.46 |
Average predictability
HSBC MSCI Indonesia has average predictability. Overlapping area represents the amount of predictability between HSBC MSCI time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 HSBC MSCI Indonesia price movement. The serial correlation of 0.46 indicates that about 46.0% of current HSBC MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.81 |
HSBC MSCI Indonesia lagged returns against current returns
Autocorrelation, which is HSBC MSCI 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 MSCI's etf expected returns. We can calculate the autocorrelation of HSBC MSCI returns to help us make a trade decision. For example, suppose you find that HSBC MSCI 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 MSCI 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 MSCI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HSBC MSCI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HSBC MSCI etf over time.
Current vs Lagged Prices |
| Timeline |
HSBC MSCI Lagged Returns
When evaluating HSBC MSCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HSBC MSCI etf have on its future price. HSBC MSCI 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 MSCI autocorrelation shows the relationship between HSBC MSCI etf current value and its past values and can show if there is a momentum factor associated with investing in HSBC MSCI Indonesia.
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 MSCI 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 MSCI security.