Hwabao WP's market value is the price at which a share of Hwabao WP trades on a public exchange. It measures the collective expectations of Hwabao WP CSI investors about its performance. Hwabao WP is trading at 1.32 as of the 30th of November 2024, a 2.33 percent increase since the beginning of the trading day. The etf's open price was 1.29. With this module, you can estimate the performance of a buy and hold strategy of Hwabao WP CSI and determine expected loss or profit from investing in Hwabao WP over a given investment horizon. Check out Trending Equities 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
Hwabao
Hwabao WP '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 Hwabao WP'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 Hwabao WP.
0.00
10/31/2024
No Change 0.00
0.0
In 31 days
11/30/2024
0.00
If you would invest 0.00 in Hwabao WP on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Hwabao WP CSI or generate 0.0% return on investment in Hwabao WP over 30 days.
Hwabao WP 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 Hwabao WP'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 Hwabao WP CSI 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 Hwabao WP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hwabao WP's standard deviation. In reality, there are many statistical measures that can use Hwabao WP historical prices to predict the future Hwabao WP's volatility.
Hwabao WP appears to be very risky, given 3 months investment horizon. Hwabao WP CSI holds Efficiency (Sharpe) Ratio of 0.2, which attests that the entity had a 0.2% return per unit of standard deviation over the last 3 months. By evaluating Hwabao WP's technical indicators, you can evaluate if the expected return of 0.58% is justified by implied risk. Please utilize Hwabao WP's risk adjusted performance of 0.1342, and Market Risk Adjusted Performance of 2.48 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 0.19, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hwabao WP's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hwabao WP is expected to be smaller as well.
Auto-correlation
-0.5
Modest reverse predictability
Hwabao WP CSI has modest reverse predictability. Overlapping area represents the amount of predictability between Hwabao WP time series from 31st of October 2024 to 15th of November 2024 and 15th of November 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 Hwabao WP CSI price movement. The serial correlation of -0.5 indicates that about 50.0% of current Hwabao WP price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.5
Spearman Rank Test
0.14
Residual Average
0.0
Price Variance
0.0
Hwabao WP CSI lagged returns against current returns
Autocorrelation, which is Hwabao WP 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 Hwabao WP's etf expected returns. We can calculate the autocorrelation of Hwabao WP returns to help us make a trade decision. For example, suppose you find that Hwabao WP 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
Hwabao WP 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 Hwabao WP etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hwabao WP etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hwabao WP etf over time.
Current vs Lagged Prices
Timeline
Hwabao WP Lagged Returns
When evaluating Hwabao WP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hwabao WP etf have on its future price. Hwabao WP 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, Hwabao WP autocorrelation shows the relationship between Hwabao WP etf current value and its past values and can show if there is a momentum factor associated with investing in Hwabao WP CSI.