SZSE Component's market value is the price at which a share of SZSE Component trades on a public exchange. It measures the collective expectations of SZSE Component investors about its performance. SZSE Component is listed at 10926.95 as of the 26th of February 2025, which is a 0.67 percent up since the beginning of the trading day. The index's lowest day price was 10831.11. With this module, you can estimate the performance of a buy and hold strategy of SZSE Component and determine expected loss or profit from investing in SZSE Component over a given investment horizon. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
Symbol
SZSE
SZSE Component '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 SZSE Component's index 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 SZSE Component.
0.00
01/27/2025
No Change 0.00
0.0
In 31 days
02/26/2025
0.00
If you would invest 0.00 in SZSE Component on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding SZSE Component or generate 0.0% return on investment in SZSE Component over 30 days.
SZSE Component 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 SZSE Component's index 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 SZSE Component 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 SZSE Component's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SZSE Component's standard deviation. In reality, there are many statistical measures that can use SZSE Component historical prices to predict the future SZSE Component's volatility.
SZSE Component owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0702, which indicates the index had a 0.0702 % return per unit of standard deviation over the last 3 months. We have found twenty-six technical indicators for SZSE Component, which you can use to evaluate the volatility of the index. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and SZSE Component are completely uncorrelated.
Auto-correlation
0.55
Modest predictability
SZSE Component has modest predictability. Overlapping area represents the amount of predictability between SZSE Component time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SZSE Component price movement. The serial correlation of 0.55 indicates that about 55.0% of current SZSE Component price fluctuation can be explain by its past prices.
Correlation Coefficient
0.55
Spearman Rank Test
0.09
Residual Average
0.0
Price Variance
6602.42
SZSE Component lagged returns against current returns
Autocorrelation, which is SZSE Component index'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 SZSE Component's index expected returns. We can calculate the autocorrelation of SZSE Component returns to help us make a trade decision. For example, suppose you find that SZSE Component has exhibited high autocorrelation historically, and you observe that the index 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
SZSE Component 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 SZSE Component index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SZSE Component index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SZSE Component index over time.
Current vs Lagged Prices
Timeline
SZSE Component Lagged Returns
When evaluating SZSE Component's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SZSE Component index have on its future price. SZSE Component 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, SZSE Component autocorrelation shows the relationship between SZSE Component index current value and its past values and can show if there is a momentum factor associated with investing in SZSE Component.
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.