Cambria Emerging Shareholder Etf Market Value
| EYLD Etf | USD 32.52 0.29 0.88% |
| Symbol | Cambria |
The market value of Cambria Emerging Sha is measured differently than its book value, which is the value of Cambria that is recorded on the company's balance sheet. Investors also form their own opinion of Cambria Emerging's value that differs from its market value or its book value, called intrinsic value, which is Cambria Emerging'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 Cambria Emerging's market value can be influenced by many factors that don't directly affect Cambria Emerging'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 Cambria Emerging's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cambria Emerging is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cambria Emerging'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.
Cambria Emerging '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 Cambria Emerging'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 Cambria Emerging.
| 09/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Cambria Emerging on September 27, 2024 and sell it all today you would earn a total of 0.00 from holding Cambria Emerging Shareholder or generate 0.0% return on investment in Cambria Emerging over 60 days. Cambria Emerging is related to or competes with Cambria Foreign, Cambria Global, Cambria Global, Cambria Value, and Cambria Global. The fund is actively managed and seeks to achieve its investment objective by investing, under normal market conditions,... More
Cambria Emerging 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 Cambria Emerging'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 Cambria Emerging Shareholder upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 5.01 | |||
| Value At Risk | (2.03) | |||
| Potential Upside | 1.62 |
Cambria Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cambria Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cambria Emerging's standard deviation. In reality, there are many statistical measures that can use Cambria Emerging historical prices to predict the future Cambria Emerging's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.24) |
Cambria Emerging Sha Backtested Returns
Cambria Emerging Sha secures Sharpe Ratio (or Efficiency) of -0.0655, which signifies that the etf had a -0.0655% return per unit of risk over the last 3 months. Cambria Emerging Shareholder exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cambria Emerging's Mean Deviation of 0.8398, standard deviation of 1.05, and Risk Adjusted Performance of (0.05) to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.34, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Cambria Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Cambria Emerging is expected to be smaller as well.
Auto-correlation | 0.58 |
Modest predictability
Cambria Emerging Shareholder has modest predictability. Overlapping area represents the amount of predictability between Cambria Emerging time series from 27th of September 2024 to 27th of October 2024 and 27th of October 2024 to 26th 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 Cambria Emerging Sha price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Cambria Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.26 |
Cambria Emerging Sha lagged returns against current returns
Autocorrelation, which is Cambria Emerging 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 Cambria Emerging's etf expected returns. We can calculate the autocorrelation of Cambria Emerging returns to help us make a trade decision. For example, suppose you find that Cambria Emerging 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 |
Cambria Emerging 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 Cambria Emerging etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cambria Emerging etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cambria Emerging etf over time.
Current vs Lagged Prices |
| Timeline |
Cambria Emerging Lagged Returns
When evaluating Cambria Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cambria Emerging etf have on its future price. Cambria Emerging 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, Cambria Emerging autocorrelation shows the relationship between Cambria Emerging etf current value and its past values and can show if there is a momentum factor associated with investing in Cambria Emerging Shareholder.
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 Cambria Emerging Sha is a strong investment it is important to analyze Cambria Emerging's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Cambria Emerging's future performance. For an informed investment choice regarding Cambria Etf, refer to the following important reports:Check out Cambria Emerging Correlation, Cambria Emerging Volatility and Cambria Emerging Alpha and Beta module to complement your research on Cambria Emerging. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Cambria Emerging 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.