Investo Bloomberg's market value is the price at which a share of Investo Bloomberg trades on a public exchange. It measures the collective expectations of Investo Bloomberg Us investors about its performance. Investo Bloomberg is trading at 111.20 as of the 12th of December 2024, a 1.51% down since the beginning of the trading day. The etf's open price was 112.91. With this module, you can estimate the performance of a buy and hold strategy of Investo Bloomberg Us and determine expected loss or profit from investing in Investo Bloomberg 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 etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
Investo
Investo Bloomberg '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 Investo Bloomberg'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 Investo Bloomberg.
0.00
11/12/2024
No Change 0.00
0.0
In 31 days
12/12/2024
0.00
If you would invest 0.00 in Investo Bloomberg on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding Investo Bloomberg Us or generate 0.0% return on investment in Investo Bloomberg over 30 days.
Investo Bloomberg 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 Investo Bloomberg'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 Investo Bloomberg Us 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 Investo Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Investo Bloomberg's standard deviation. In reality, there are many statistical measures that can use Investo Bloomberg historical prices to predict the future Investo Bloomberg's volatility.
At this point, Investo Bloomberg is very steady. Investo Bloomberg holds Efficiency (Sharpe) Ratio of 0.0616, which attests that the entity had a 0.0616% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Investo Bloomberg, which you can use to evaluate the volatility of the entity. Please check out Investo Bloomberg's Market Risk Adjusted Performance of 0.2908, downside deviation of 1.04, and Risk Adjusted Performance of 0.0484 to validate if the risk estimate we provide is consistent with the expected return of 0.0824%. The etf retains a Market Volatility (i.e., Beta) of 0.25, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Investo Bloomberg's returns are expected to increase less than the market. However, during the bear market, the loss of holding Investo Bloomberg is expected to be smaller as well.
Auto-correlation
0.01
Virtually no predictability
Investo Bloomberg Us has virtually no predictability. Overlapping area represents the amount of predictability between Investo Bloomberg time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th of December 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 Investo Bloomberg price movement. The serial correlation of 0.01 indicates that just 1.0% of current Investo Bloomberg price fluctuation can be explain by its past prices.
Correlation Coefficient
0.01
Spearman Rank Test
0.22
Residual Average
0.0
Price Variance
4.95
Investo Bloomberg lagged returns against current returns
Autocorrelation, which is Investo Bloomberg 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 Investo Bloomberg's etf expected returns. We can calculate the autocorrelation of Investo Bloomberg returns to help us make a trade decision. For example, suppose you find that Investo Bloomberg 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
Investo Bloomberg 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 Investo Bloomberg etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Investo Bloomberg etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Investo Bloomberg etf over time.
Current vs Lagged Prices
Timeline
Investo Bloomberg Lagged Returns
When evaluating Investo Bloomberg's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Investo Bloomberg etf have on its future price. Investo Bloomberg 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, Investo Bloomberg autocorrelation shows the relationship between Investo Bloomberg etf current value and its past values and can show if there is a momentum factor associated with investing in Investo Bloomberg Us.
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.