HSBC MSCI's market value is the price at which a share of HSBC MSCI trades on a public exchange. It measures the collective expectations of HSBC MSCI USA investors about its performance. HSBC MSCI is selling for under 42.92 as of the 30th of November 2024; that is 0.12 percent increase since the beginning of the trading day. The etf's lowest day price was 42.92. With this module, you can estimate the performance of a buy and hold strategy of HSBC MSCI USA and determine expected loss or profit from investing in HSBC MSCI 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
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.
0.00
11/06/2023
No Change 0.00
0.0
In 1 year and 26 days
11/30/2024
0.00
If you would invest 0.00 in HSBC MSCI on November 6, 2023 and sell it all today you would earn a total of 0.00 from holding HSBC MSCI USA or generate 0.0% return on investment in HSBC MSCI over 390 days.
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 USA 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 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.
At this stage we consider HSBC Etf to be very steady. HSBC MSCI USA retains Efficiency (Sharpe Ratio) of 0.15, which attests that the entity had a 0.15% return per unit of return volatility over the last 3 months. We have found twenty-eight technical indicators for HSBC MSCI, which you can use to evaluate the volatility of the entity. Please check out HSBC MSCI's Downside Deviation of 0.7741, semi deviation of 0.4788, and Market Risk Adjusted Performance of 0.1696 to validate if the risk estimate we provide is consistent with the expected return of 0.0992%. The etf owns a Beta (Systematic Risk) of 0.57, which attests to possible diversification benefits within a given portfolio. 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
0.79
Good predictability
HSBC MSCI USA has good predictability. Overlapping area represents the amount of predictability between HSBC MSCI time series from 6th of November 2023 to 19th of May 2024 and 19th of May 2024 to 30th 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 USA price movement. The serial correlation of 0.79 indicates that around 79.0% of current HSBC MSCI price fluctuation can be explain by its past prices.
Correlation Coefficient
0.79
Spearman Rank Test
0.78
Residual Average
0.0
Price Variance
2.41
HSBC MSCI USA 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 USA.
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.