Cambria Emerging Shareholder Etf Market Value
| EYLD Etf | USD 33.72 0.02 0.06% |
| 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.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Cambria Emerging on March 25, 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 30 days. Cambria Emerging is related to or competes with Hartford Multifactor, and Hartford Multifactor. 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.
| Downside Deviation | 0.8049 | |||
| Information Ratio | 0.1279 | |||
| Maximum Drawdown | 3.85 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 1.41 |
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 | 0.1622 | |||
| Jensen Alpha | 0.1238 | |||
| Total Risk Alpha | 0.0788 | |||
| Sortino Ratio | 0.1166 | |||
| Treynor Ratio | 0.2759 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cambria Emerging'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.
Cambria Emerging Sha Backtested Returns
We consider Cambria Emerging very steady. Cambria Emerging Sha secures Sharpe Ratio (or Efficiency) of 0.24, which signifies that the etf had a 0.24% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Cambria Emerging Shareholder, which you can use to evaluate the volatility of the entity. Please confirm Cambria Emerging's Risk Adjusted Performance of 0.1622, mean deviation of 0.5299, and Downside Deviation of 0.8049 to double-check if the risk estimate we provide is consistent with the expected return of 0.17%. The etf shows a Beta (market volatility) of 0.65, 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 | -0.43 |
Modest reverse predictability
Cambria Emerging Shareholder has modest reverse predictability. Overlapping area represents the amount of predictability between Cambria Emerging time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 -0.43 indicates that just about 43.0% of current Cambria Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Cambria Emerging in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Cambria Emerging's short interest history, or implied volatility extrapolated from Cambria Emerging options trading.
Pair Trading with Cambria Emerging
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Cambria Emerging position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cambria Emerging will appreciate offsetting losses from the drop in the long position's value.Moving together with Cambria Etf
| 0.92 | VWO | Vanguard FTSE Emerging | PairCorr |
| 0.91 | IEMG | iShares Core MSCI Aggressive Push | PairCorr |
| 0.89 | EEM | iShares MSCI Emerging Aggressive Push | PairCorr |
| 0.93 | SPEM | SPDR Portfolio Emerging | PairCorr |
| 0.92 | FNDE | Schwab Fundamental | PairCorr |
The ability to find closely correlated positions to Cambria Emerging could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cambria Emerging when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Cambria Emerging - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Cambria Emerging Shareholder to buy it.
The correlation of Cambria Emerging is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Cambria Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cambria Emerging Sha moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Cambria Emerging can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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.