2023 Eft Series Etf Market Value
| BSMC Etf | 31.87 0.36 1.14% |
| Symbol | 2023 |
The market value of 2023 EFT Series is measured differently than its book value, which is the value of 2023 that is recorded on the company's balance sheet. Investors also form their own opinion of 2023 EFT's value that differs from its market value or its book value, called intrinsic value, which is 2023 EFT's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because 2023 EFT's market value can be influenced by many factors that don't directly affect 2023 EFT's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between 2023 EFT's value and its price as these two are different measures arrived at by different means. Investors typically determine if 2023 EFT is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, 2023 EFT'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.
2023 EFT '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 EFT'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 EFT.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in 2023 EFT on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding 2023 EFT Series or generate 0.0% return on investment in 2023 EFT over 30 days. 2023 EFT is related to or competes with Matthews China, Matthews Emerging, Neuberger Berman, Fidelity Small, Professionally Managed, First Trust, and Fidelity Small. More
2023 EFT 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 EFT'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 2023 EFT Series upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7957 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 3.97 | |||
| Value At Risk | (1.15) | |||
| Potential Upside | 1.47 |
2023 EFT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for 2023 EFT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 2023 EFT's standard deviation. In reality, there are many statistical measures that can use 2023 EFT historical prices to predict the future 2023 EFT's volatility.| Risk Adjusted Performance | 0.0787 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0805 |
2023 EFT Series Backtested Returns
At this point, 2023 EFT is very steady. 2023 EFT Series retains Efficiency (Sharpe Ratio) of 0.07, which signifies that the etf had a 0.07% return per unit of price deviation over the last 3 months. We have found thirty technical indicators for 2023 EFT, which you can use to evaluate the volatility of the entity. Please confirm 2023 EFT's Coefficient Of Variation of 988.77, standard deviation of 0.8626, and Market Risk Adjusted Performance of 0.0905 to double-check if the risk estimate we provide is consistent with the expected return of 0.059%. The entity owns a Beta (Systematic Risk) of 0.96, which signifies possible diversification benefits within a given portfolio. 2023 EFT returns are very sensitive to returns on the market. As the market goes up or down, 2023 EFT is expected to follow.
Auto-correlation | 0.16 |
Very weak predictability
2023 EFT Series has very weak predictability. Overlapping area represents the amount of predictability between 2023 EFT time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th 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 2023 EFT Series price movement. The serial correlation of 0.16 indicates that over 16.0% of current 2023 EFT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
2023 EFT Series lagged returns against current returns
Autocorrelation, which is 2023 EFT 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 EFT's etf expected returns. We can calculate the autocorrelation of 2023 EFT returns to help us make a trade decision. For example, suppose you find that 2023 EFT 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 EFT 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 EFT etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 2023 EFT etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 2023 EFT etf over time.
Current vs Lagged Prices |
| Timeline |
2023 EFT Lagged Returns
When evaluating 2023 EFT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 2023 EFT etf have on its future price. 2023 EFT 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 EFT autocorrelation shows the relationship between 2023 EFT etf current value and its past values and can show if there is a momentum factor associated with investing in 2023 EFT Series.
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.When determining whether 2023 EFT Series offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of 2023 EFT's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of 2023 Eft Series Etf. Outlined below are crucial reports that will aid in making a well-informed decision on 2023 Eft Series Etf:Check out 2023 EFT Correlation, 2023 EFT Volatility and 2023 EFT Alpha and Beta module to complement your research on 2023 EFT. You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
2023 EFT 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.