Cambria Etf Trust Etf Market Value
| BLDG Etf | USD 24.99 0.06 0.24% |
| Symbol | Cambria |
The market value of Cambria ETF Trust 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 ETF's value that differs from its market value or its book value, called intrinsic value, which is Cambria ETF'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 ETF's market value can be influenced by many factors that don't directly affect Cambria ETF'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 ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cambria ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cambria ETF'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 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 Cambria 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 Cambria ETF.
| 12/19/2024 |
| 01/18/2025 |
If you would invest 0.00 in Cambria ETF on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Cambria ETF Trust or generate 0.0% return on investment in Cambria ETF over 30 days. Cambria ETF is related to or competes with IShares Global, SPDR Dow, Xtrackers International, SPDR Dow, FlexShares Global, Avantis Real, and IShares International. The fund is actively managed and seeks to achieve its investment objective by investing, under normal market conditions,... More
Cambria 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 Cambria 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 Cambria ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 5.14 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 0.8621 |
Cambria ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cambria ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cambria ETF's standard deviation. In reality, there are many statistical measures that can use Cambria ETF historical prices to predict the future Cambria ETF's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.26) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cambria 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.
Cambria ETF Trust Backtested Returns
Cambria ETF Trust secures Sharpe Ratio (or Efficiency) of -0.1, which signifies that the etf had a -0.1% return per unit of risk over the last 3 months. Cambria ETF Trust exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cambria ETF's Standard Deviation of 0.8382, mean deviation of 0.6039, and Risk Adjusted Performance of (0.06) to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.29, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Cambria ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Cambria ETF is expected to be smaller as well.
Auto-correlation | -0.43 |
Modest reverse predictability
Cambria ETF Trust has modest reverse predictability. Overlapping area represents the amount of predictability between Cambria ETF time series from 19th of December 2024 to 3rd of January 2025 and 3rd of January 2025 to 18th 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 Cambria ETF Trust price movement. The serial correlation of -0.43 indicates that just about 43.0% of current Cambria ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Cambria ETF Trust lagged returns against current returns
Autocorrelation, which is Cambria 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 Cambria ETF's etf expected returns. We can calculate the autocorrelation of Cambria ETF returns to help us make a trade decision. For example, suppose you find that Cambria 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 |
Cambria 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 Cambria ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cambria ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cambria ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Cambria ETF Lagged Returns
When evaluating Cambria ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cambria ETF etf have on its future price. Cambria 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, Cambria ETF autocorrelation shows the relationship between Cambria ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Cambria ETF Trust.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin | |
| ADA | Cardano | |
| XRP | XRP |
Check out Cambria ETF Correlation, Cambria ETF Volatility and Cambria ETF Alpha and Beta module to complement your research on Cambria ETF. For more detail on how to invest in Cambria Etf please use our How to Invest in Cambria ETF guide.You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Cambria ETF 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.