HSBC MUCPAB (France) Market Value

HPAU Etf   39.95  0.17  0.43%   
HSBC MUCPAB's market value is the price at which a share of HSBC MUCPAB trades on a public exchange. It measures the collective expectations of HSBC MUCPAB ETF investors about its performance. HSBC MUCPAB is trading at 39.95 as of the 22nd of November 2024, a 0.43 percent increase since the beginning of the trading day. The etf's open price was 39.78.
With this module, you can estimate the performance of a buy and hold strategy of HSBC MUCPAB ETF and determine expected loss or profit from investing in HSBC MUCPAB 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.
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HSBC MUCPAB '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 MUCPAB'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 MUCPAB.
0.00
10/23/2024
No Change 0.00  0.0 
In 31 days
11/22/2024
0.00
If you would invest  0.00  in HSBC MUCPAB on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding HSBC MUCPAB ETF or generate 0.0% return on investment in HSBC MUCPAB over 30 days.

HSBC MUCPAB 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 MUCPAB'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 MUCPAB ETF upside and downside potential and time the market with a certain degree of confidence.

HSBC MUCPAB Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for HSBC MUCPAB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HSBC MUCPAB's standard deviation. In reality, there are many statistical measures that can use HSBC MUCPAB historical prices to predict the future HSBC MUCPAB's volatility.

HSBC MUCPAB ETF Backtested Returns

At this point, HSBC MUCPAB is very steady. HSBC MUCPAB ETF retains Efficiency (Sharpe Ratio) of 0.19, which attests that the entity had a 0.19% return per unit of return volatility over the last 3 months. We have found twenty-seven technical indicators for HSBC MUCPAB, which you can use to evaluate the volatility of the entity. Please check out HSBC MUCPAB's Market Risk Adjusted Performance of 0.2111, downside deviation of 0.7125, and Semi Deviation of 0.5059 to validate if the risk estimate we provide is consistent with the expected return of 0.16%. The etf owns a Beta (Systematic Risk) of 0.74, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, HSBC MUCPAB's returns are expected to increase less than the market. However, during the bear market, the loss of holding HSBC MUCPAB is expected to be smaller as well.

Auto-correlation

    
  0.42  

Average predictability

HSBC MUCPAB ETF has average predictability. Overlapping area represents the amount of predictability between HSBC MUCPAB time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 MUCPAB ETF price movement. The serial correlation of 0.42 indicates that just about 42.0% of current HSBC MUCPAB price fluctuation can be explain by its past prices.
Correlation Coefficient0.42
Spearman Rank Test-0.07
Residual Average0.0
Price Variance0.09

HSBC MUCPAB ETF lagged returns against current returns

Autocorrelation, which is HSBC MUCPAB 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 MUCPAB's etf expected returns. We can calculate the autocorrelation of HSBC MUCPAB returns to help us make a trade decision. For example, suppose you find that HSBC MUCPAB 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 MUCPAB 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 MUCPAB etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HSBC MUCPAB etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HSBC MUCPAB etf over time.
   Current vs Lagged Prices   
       Timeline  

HSBC MUCPAB Lagged Returns

When evaluating HSBC MUCPAB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HSBC MUCPAB etf have on its future price. HSBC MUCPAB 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 MUCPAB autocorrelation shows the relationship between HSBC MUCPAB etf current value and its past values and can show if there is a momentum factor associated with investing in HSBC MUCPAB ETF.
   Regressed Prices   
       Timeline  

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