Arrow Dwa Balanced Fund Market Value
DWAFX Fund | USD 11.74 0.08 0.69% |
Symbol | Arrow |
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 mutual fund 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.
04/08/2022 |
| 03/28/2024 |
If you would invest 0.00 in Arrow Dwa on April 8, 2022 and sell it all today you would earn a total of 0.00 from holding Arrow Dwa Balanced or generate 0.0% return on investment in Arrow Dwa over 720 days. Arrow Dwa is related to or competes with State Farm, Arrow Managed, Arrow Managed, Arrow Managed, Arrow Dwa, Arrow Dwa, and Arrow Dwa. The fund primarily invests, either directly or indirectly through investments in exchange traded funds or other investme... 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 mutual fund 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 Balanced upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.9437 | |||
Information Ratio | (0) | |||
Maximum Drawdown | 8.43 | |||
Value At Risk | (0.83) | |||
Potential Upside | 0.939 |
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 | 0.0856 | |||
Jensen Alpha | 0.0295 | |||
Total Risk Alpha | (0.08) | |||
Sortino Ratio | (0) | |||
Treynor Ratio | 0.1646 |
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 Balanced Backtested Returns
We consider Arrow Dwa very steady. Arrow Dwa Balanced secures Sharpe Ratio (or Efficiency) of 0.28, which signifies that the fund had a 0.28% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Arrow Dwa Balanced, which you can use to evaluate the volatility of the entity. Please confirm Arrow Dwa's Downside Deviation of 0.9437, risk adjusted performance of 0.0856, and Mean Deviation of 0.5172 to double-check if the risk estimate we provide is consistent with the expected return of 0.14%. The fund shows a Beta (market volatility) of 0.73, which signifies possible diversification benefits within a given portfolio. 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 | -0.31 |
Poor reverse predictability
Arrow Dwa Balanced has poor reverse predictability. Overlapping area represents the amount of predictability between Arrow Dwa time series from 8th of April 2022 to 3rd of April 2023 and 3rd of April 2023 to 28th of March 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 Balanced price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Arrow Dwa price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.31 | |
Spearman Rank Test | -0.36 | |
Residual Average | 0.0 | |
Price Variance | 0.14 |
Arrow Dwa Balanced lagged returns against current returns
Autocorrelation, which is Arrow Dwa mutual fund'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 mutual fund 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 mutual fund 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Arrow Dwa mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Arrow Dwa mutual fund 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 mutual fund 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 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Arrow Dwa Balanced.
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 Mutual Fund
0.97 | STFGX | State Farm Growth | PairCorr |
0.9 | MFTFX | Arrow Managed Futures | PairCorr |
0.91 | MFTNX | Arrow Managed Futures | PairCorr |
0.9 | MFTTX | Arrow Managed Futures | 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 Balanced 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 Balanced 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. Note that the Arrow Dwa Balanced information on this page should be used as a complementary analysis to other Arrow Dwa's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Complementary Tools for Arrow Mutual Fund analysis
When running Arrow Dwa's price analysis, check to measure Arrow Dwa's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Arrow Dwa is operating at the current time. Most of Arrow Dwa's value examination focuses on studying past and present price action to predict the probability of Arrow Dwa's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Arrow Dwa's price. Additionally, you may evaluate how the addition of Arrow Dwa to your portfolios can decrease your overall portfolio volatility.
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Arrow Dwa technical mutual fund 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, fund market cycles, or different charting patterns.