Ea Series Trust Etf Market Value
| DTAN Etf | 24.71 0.11 0.45% |
| Symbol | DTAN |
The market value of EA Series Trust is measured differently than its book value, which is the value of DTAN that is recorded on the company's balance sheet. Investors also form their own opinion of EA Series' value that differs from its market value or its book value, called intrinsic value, which is EA Series' 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 EA Series' market value can be influenced by many factors that don't directly affect EA Series' 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 EA Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if EA Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, EA Series' 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.
EA Series '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 EA Series' 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 EA Series.
| 08/30/2024 |
| 11/28/2024 |
If you would invest 0.00 in EA Series on August 30, 2024 and sell it all today you would earn a total of 0.00 from holding EA Series Trust or generate 0.0% return on investment in EA Series over 90 days. EA Series is related to or competes with FT Vest, Zillow Group, Northern Lights, VanEck Vectors, Freedom Day, SSGA Active, and SPDR Nuveen. More
EA Series 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 EA Series' 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 EA Series Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8303 | |||
| Information Ratio | 0.1292 | |||
| Maximum Drawdown | 1001.58 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 2.01 |
EA Series Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for EA Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as EA Series' standard deviation. In reality, there are many statistical measures that can use EA Series historical prices to predict the future EA Series' volatility.| Risk Adjusted Performance | 0.1097 | |||
| Jensen Alpha | 13.69 | |||
| Total Risk Alpha | (2.67) | |||
| Sortino Ratio | 20.26 | |||
| Treynor Ratio | 0.6016 |
EA Series Trust Backtested Returns
EA Series is out of control given 3 months investment horizon. EA Series Trust retains Efficiency (Sharpe Ratio) of 0.13, which denotes the etf had a 0.13% return per unit of price deviation over the last 3 months. We were able to analyze twenty-nine different technical indicators, which can help you to evaluate if expected returns of 16.95% are justified by taking the suggested risk. Use EA Series Trust Variance of 16949.89, coefficient of variation of 768.23, and Market Risk Adjusted Performance of 0.6116 to evaluate company specific risk that cannot be diversified away. The entity owns a Beta (Systematic Risk) of 28.15, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, EA Series will likely underperform.
Auto-correlation | -0.36 |
Poor reverse predictability
EA Series Trust has poor reverse predictability. Overlapping area represents the amount of predictability between EA Series time series from 30th of August 2024 to 14th of October 2024 and 14th of October 2024 to 28th 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 EA Series Trust price movement. The serial correlation of -0.36 indicates that just about 36.0% of current EA Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
EA Series Trust lagged returns against current returns
Autocorrelation, which is EA Series 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 EA Series' etf expected returns. We can calculate the autocorrelation of EA Series returns to help us make a trade decision. For example, suppose you find that EA Series 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 |
EA Series 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 EA Series etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if EA Series etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in EA Series etf over time.
Current vs Lagged Prices |
| Timeline |
EA Series Lagged Returns
When evaluating EA Series' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of EA Series etf have on its future price. EA Series 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, EA Series autocorrelation shows the relationship between EA Series etf current value and its past values and can show if there is a momentum factor associated with investing in EA Series Trust.
Regressed Prices |
| Timeline |
Pair Trading with EA Series
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 EA Series 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 EA Series will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to EA Series could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EA Series 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 EA Series - 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 EA Series Trust to buy it.
The correlation of EA Series 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 EA Series moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EA Series Trust 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 EA Series 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 EA Series Correlation, EA Series Volatility and EA Series Alpha and Beta module to complement your research on EA Series. You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
EA Series 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.