Collaborative Investment Series Etf Market Value
| ENAV Etf | 30.20 0.04 0.13% |
| Symbol | Collaborative |
The market value of Collaborative Investment is measured differently than its book value, which is the value of Collaborative that is recorded on the company's balance sheet. Investors also form their own opinion of Collaborative Investment's value that differs from its market value or its book value, called intrinsic value, which is Collaborative Investment'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 Collaborative Investment's market value can be influenced by many factors that don't directly affect Collaborative Investment'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 Collaborative Investment's value and its price as these two are different measures arrived at by different means. Investors typically determine if Collaborative Investment is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Collaborative Investment'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.
Collaborative Investment '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 Collaborative Investment'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 Collaborative Investment.
| 10/11/2023 |
| 01/03/2025 |
If you would invest 0.00 in Collaborative Investment on October 11, 2023 and sell it all today you would earn a total of 0.00 from holding Collaborative Investment Series or generate 0.0% return on investment in Collaborative Investment over 450 days. Collaborative Investment is related to or competes with FT Vest, Zillow Group, Northern Lights, VanEck Vectors, Freedom Day, SSGA Active, and SPDR Nuveen. Collaborative Investment is entity of United States More
Collaborative Investment 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 Collaborative Investment'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 Collaborative Investment Series upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 5.36 | |||
| Value At Risk | (0.92) | |||
| Potential Upside | 0.897 |
Collaborative Investment Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Collaborative Investment's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Collaborative Investment's standard deviation. In reality, there are many statistical measures that can use Collaborative Investment historical prices to predict the future Collaborative Investment's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.35) |
Collaborative Investment Backtested Returns
At this stage we consider Collaborative Etf to be very steady. Collaborative Investment secures Sharpe Ratio (or Efficiency) of 0.0012, which signifies that the etf had a 0.0012% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Collaborative Investment Series, which you can use to evaluate the volatility of the entity. Please confirm Collaborative Investment's Standard Deviation of 0.7056, risk adjusted performance of (0.02), and Mean Deviation of 0.5004 to double-check if the risk estimate we provide is consistent with the expected return of 9.0E-4%. The etf shows a Beta (market volatility) of 0.0749, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Collaborative Investment's returns are expected to increase less than the market. However, during the bear market, the loss of holding Collaborative Investment is expected to be smaller as well.
Auto-correlation | 0.66 |
Good predictability
Collaborative Investment Series has good predictability. Overlapping area represents the amount of predictability between Collaborative Investment time series from 11th of October 2023 to 23rd of May 2024 and 23rd of May 2024 to 3rd of January 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 Collaborative Investment price movement. The serial correlation of 0.66 indicates that around 66.0% of current Collaborative Investment price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.88 |
Collaborative Investment lagged returns against current returns
Autocorrelation, which is Collaborative Investment 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 Collaborative Investment's etf expected returns. We can calculate the autocorrelation of Collaborative Investment returns to help us make a trade decision. For example, suppose you find that Collaborative Investment 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 |
Collaborative Investment 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 Collaborative Investment etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Collaborative Investment etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Collaborative Investment etf over time.
Current vs Lagged Prices |
| Timeline |
Collaborative Investment Lagged Returns
When evaluating Collaborative Investment's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Collaborative Investment etf have on its future price. Collaborative Investment 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, Collaborative Investment autocorrelation shows the relationship between Collaborative Investment etf current value and its past values and can show if there is a momentum factor associated with investing in Collaborative Investment Series.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Collaborative Investment Correlation, Collaborative Investment Volatility and Collaborative Investment Alpha and Beta module to complement your research on Collaborative Investment. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Collaborative Investment 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.