Ishares Exponential (Brazil) Market Value
| BXTC39 Etf | BRL 61.68 1.98 3.32% |
| Symbol | Ishares |
Please note, there is a significant difference between Ishares Exponential's value and its price as these two are different measures arrived at by different means. Investors typically determine if Ishares Exponential is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ishares Exponential's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Ishares Exponential '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 Ishares Exponential'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 Ishares Exponential.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Ishares Exponential on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Ishares Exponential Technologies or generate 0.0% return on investment in Ishares Exponential over 30 days. More
Ishares Exponential 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 Ishares Exponential'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 Ishares Exponential Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6708 | |||
| Information Ratio | 0.0709 | |||
| Maximum Drawdown | 3.6 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 2.11 |
Ishares Exponential Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ishares Exponential's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ishares Exponential's standard deviation. In reality, there are many statistical measures that can use Ishares Exponential historical prices to predict the future Ishares Exponential's volatility.| Risk Adjusted Performance | 0.1765 | |||
| Jensen Alpha | 0.1505 | |||
| Total Risk Alpha | 0.0526 | |||
| Sortino Ratio | 0.0833 | |||
| Treynor Ratio | 0.9504 |
Ishares Exponential Backtested Returns
Ishares Exponential appears to be very steady, given 3 months investment horizon. Ishares Exponential holds Efficiency (Sharpe) Ratio of 0.27, which attests that the entity had a 0.27% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Ishares Exponential, which you can use to evaluate the volatility of the entity. Please utilize Ishares Exponential's Coefficient Of Variation of 434.73, market risk adjusted performance of 0.9604, and Risk Adjusted Performance of 0.1765 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 0.18, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Ishares Exponential's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ishares Exponential is expected to be smaller as well.
Auto-correlation | 0.58 |
Modest predictability
Ishares Exponential Technologies has modest predictability. Overlapping area represents the amount of predictability between Ishares Exponential time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 Ishares Exponential price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Ishares Exponential price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 1.14 |
Ishares Exponential lagged returns against current returns
Autocorrelation, which is Ishares Exponential 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 Ishares Exponential's etf expected returns. We can calculate the autocorrelation of Ishares Exponential returns to help us make a trade decision. For example, suppose you find that Ishares Exponential 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 |
Ishares Exponential 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 Ishares Exponential etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ishares Exponential etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ishares Exponential etf over time.
Current vs Lagged Prices |
| Timeline |
Ishares Exponential Lagged Returns
When evaluating Ishares Exponential's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ishares Exponential etf have on its future price. Ishares Exponential 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, Ishares Exponential autocorrelation shows the relationship between Ishares Exponential etf current value and its past values and can show if there is a momentum factor associated with investing in Ishares Exponential Technologies.
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.Additional Information and Resources on Investing in Ishares Etf
When determining whether Ishares Exponential is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Ishares Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Ishares Exponential Technologies Etf. Highlighted below are key reports to facilitate an investment decision about Ishares Exponential Technologies Etf:Check out Ishares Exponential Correlation, Ishares Exponential Volatility and Ishares Exponential Alpha and Beta module to complement your research on Ishares Exponential. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Ishares Exponential technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.