The 2023 Etf Market Value
| INVG Etf | 25.41 0.08 0.32% |
| Symbol | 2023 |
2023 ETF '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 2023 ETF'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 2023 ETF.
| 04/23/2025 |
| 07/22/2025 |
If you would invest 0.00 in 2023 ETF on April 23, 2025 and sell it all today you would earn a total of 0.00 from holding The 2023 ETF or generate 0.0% return on investment in 2023 ETF over 90 days.
2023 ETF 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 2023 ETF'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 The 2023 ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2924 | |||
| Information Ratio | 0.1708 | |||
| Maximum Drawdown | 1000.51 | |||
| Value At Risk | (0.43) | |||
| Potential Upside | 0.4766 |
2023 ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for 2023 ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 2023 ETF's standard deviation. In reality, there are many statistical measures that can use 2023 ETF historical prices to predict the future 2023 ETF's volatility.| Risk Adjusted Performance | 0.1699 | |||
| Jensen Alpha | 28.56 | |||
| Total Risk Alpha | 4.41 | |||
| Sortino Ratio | 100.18 | |||
| Treynor Ratio | 4.61 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of 2023 ETF's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
2023 ETF Backtested Returns
2023 ETF is out of control given 3 months investment horizon. 2023 ETF secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the etf had a 0.17 % return per unit of volatility over the last 3 months. We were able to interpolate and analyze data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 29.44% are justified by taking the suggested risk. Use 2023 ETF downside deviation of 0.2924, and Risk Adjusted Performance of 0.1699 to evaluate company specific risk that cannot be diversified away. The etf shows a Beta (market volatility) of 6.39, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, 2023 ETF will likely underperform.
Auto-correlation | 0.54 |
Modest predictability
The 2023 ETF has modest predictability. Overlapping area represents the amount of predictability between 2023 ETF time series from 23rd of April 2025 to 7th of June 2025 and 7th of June 2025 to 22nd of July 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 2023 ETF price movement. The serial correlation of 0.54 indicates that about 54.0% of current 2023 ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
2023 ETF lagged returns against current returns
Autocorrelation, which is 2023 ETF 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 2023 ETF's etf expected returns. We can calculate the autocorrelation of 2023 ETF returns to help us make a trade decision. For example, suppose you find that 2023 ETF 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 |
2023 ETF 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 2023 ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 2023 ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 2023 ETF etf over time.
Current vs Lagged Prices |
| Timeline |
2023 ETF Lagged Returns
When evaluating 2023 ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 2023 ETF etf have on its future price. 2023 ETF 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, 2023 ETF autocorrelation shows the relationship between 2023 ETF etf current value and its past values and can show if there is a momentum factor associated with investing in The 2023 ETF.
Regressed Prices |
| Timeline |