159695's market value is the price at which a share of 159695 trades on a public exchange. It measures the collective expectations of 159695 investors about its performance. 159695 is trading at 1.18 as of the 30th of November 2024, a 1.72% up since the beginning of the trading day. The etf's open price was 1.16. With this module, you can estimate the performance of a buy and hold strategy of 159695 and determine expected loss or profit from investing in 159695 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 nation.
Symbol
159695
159695 '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 159695'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 159695.
0.00
06/03/2024
No Change 0.00
0.0
In 5 months and 30 days
11/30/2024
0.00
If you would invest 0.00 in 159695 on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding 159695 or generate 0.0% return on investment in 159695 over 180 days.
159695 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 159695'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 159695 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 159695's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 159695's standard deviation. In reality, there are many statistical measures that can use 159695 historical prices to predict the future 159695's volatility.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as 159695. Your research has to be compared to or analyzed against 159695's peers to derive any actionable benefits. When done correctly, 159695's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in 159695.
159695 Backtested Returns
159695 appears to be dangerous, given 3 months investment horizon. 159695 retains Efficiency (Sharpe Ratio) of 0.17, which signifies that the etf had a 0.17% return per unit of price deviation over the last 3 months. By evaluating 159695's technical indicators, you can evaluate if the expected return of 0.52% is justified by implied risk. Please makes use of 159695's Coefficient Of Variation of 761.59, market risk adjusted performance of 3.27, and Standard Deviation of 2.95 to double-check if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of 0.12, which signifies not very significant fluctuations relative to the market. As returns on the market increase, 159695's returns are expected to increase less than the market. However, during the bear market, the loss of holding 159695 is expected to be smaller as well.
Auto-correlation
-0.26
Weak reverse predictability
159695 has weak reverse predictability. Overlapping area represents the amount of predictability between 159695 time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 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 159695 price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current 159695 price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.26
Spearman Rank Test
-0.48
Residual Average
0.0
Price Variance
0.02
159695 lagged returns against current returns
Autocorrelation, which is 159695 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 159695's etf expected returns. We can calculate the autocorrelation of 159695 returns to help us make a trade decision. For example, suppose you find that 159695 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
159695 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 159695 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 159695 etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 159695 etf over time.
Current vs Lagged Prices
Timeline
159695 Lagged Returns
When evaluating 159695's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 159695 etf have on its future price. 159695 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, 159695 autocorrelation shows the relationship between 159695 etf current value and its past values and can show if there is a momentum factor associated with investing in 159695.
Regressed Prices
Timeline
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