Arrow Dwa Tactical Etf Market Value
| DWCR Etf | USD 28.42 0.18 0.63% |
| Symbol | Arrow |
The market value of Arrow DWA Tactical is measured differently than its book value, which is the value of Arrow that is recorded on the company's balance sheet. Investors also form their own opinion of Arrow DWA's value that differs from its market value or its book value, called intrinsic value, which is Arrow DWA'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 Arrow DWA's market value can be influenced by many factors that don't directly affect Arrow DWA'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 Arrow DWA's value and its price as these two are different measures arrived at by different means. Investors typically determine if Arrow DWA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Arrow DWA'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.
Arrow DWA '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 Arrow DWA'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 Arrow DWA.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Arrow DWA on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Arrow DWA Tactical or generate 0.0% return on investment in Arrow DWA over 30 days. Arrow DWA is related to or competes with Arrow DWA, First Trust, and First Trust. Under normal circumstances, substantially all of the funds total assets is invested in the component securities of the i... More
Arrow DWA 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 Arrow DWA'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 Arrow DWA Tactical upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 4.87 | |||
| Value At Risk | (1.77) | |||
| Potential Upside | 1.51 |
Arrow DWA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Arrow DWA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Arrow DWA's standard deviation. In reality, there are many statistical measures that can use Arrow DWA historical prices to predict the future Arrow DWA's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.50) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Arrow DWA'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.
Arrow DWA Tactical Backtested Returns
Arrow DWA Tactical secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the etf had a -0.11% return per unit of risk over the last 3 months. Arrow DWA Tactical exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Arrow DWA's Mean Deviation of 0.7216, standard deviation of 0.9347, and Risk Adjusted Performance of (0.09) to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.25, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Arrow DWA's returns are expected to increase less than the market. However, during the bear market, the loss of holding Arrow DWA is expected to be smaller as well.
Auto-correlation | 0.29 |
Poor predictability
Arrow DWA Tactical has poor predictability. Overlapping area represents the amount of predictability between Arrow DWA time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 Arrow DWA Tactical price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current Arrow DWA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Arrow DWA Tactical lagged returns against current returns
Autocorrelation, which is Arrow DWA 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 Arrow DWA's etf expected returns. We can calculate the autocorrelation of Arrow DWA returns to help us make a trade decision. For example, suppose you find that Arrow DWA 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 |
Arrow DWA 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 Arrow DWA etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Arrow DWA etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Arrow DWA etf over time.
Current vs Lagged Prices |
| Timeline |
Arrow DWA Lagged Returns
When evaluating Arrow DWA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Arrow DWA etf have on its future price. Arrow DWA 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, Arrow DWA autocorrelation shows the relationship between Arrow DWA etf current value and its past values and can show if there is a momentum factor associated with investing in Arrow DWA Tactical.
Regressed Prices |
| Timeline |
Pair Trading with Arrow DWA
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 Arrow DWA 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 Arrow DWA will appreciate offsetting losses from the drop in the long position's value.Moving together with Arrow Etf
| 0.96 | VEA | Vanguard FTSE Developed | PairCorr |
| 0.97 | IEFA | iShares Core MSCI | PairCorr |
| 0.84 | VEU | Vanguard FTSE All | PairCorr |
| 0.98 | EFA | iShares MSCI EAFE | PairCorr |
| 0.84 | IXUS | iShares Core MSCI | PairCorr |
Moving against Arrow Etf
| 0.73 | FNTC | Direxion | PairCorr |
| 0.72 | IGA | Voya Global Advantage | PairCorr |
| 0.71 | PXMV | Invesco SP MidCap | PairCorr |
| 0.7 | MAGS | Roundhill Magnificent | PairCorr |
| 0.44 | IVH | IVH | PairCorr |
The ability to find closely correlated positions to Arrow DWA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Arrow DWA 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 Arrow DWA - 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 Arrow DWA Tactical to buy it.
The correlation of Arrow DWA 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 Arrow DWA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Arrow DWA Tactical 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 Arrow DWA 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 Arrow DWA Correlation, Arrow DWA Volatility and Arrow DWA Alpha and Beta module to complement your research on Arrow DWA. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Arrow DWA 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.