Aw Revenue Royalties Fund Market Value
AWRRF Fund | USD 21.29 0.06 0.28% |
Symbol | AWRRF |
Aw Revenue '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 Aw Revenue's pink sheet 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 Aw Revenue.
04/28/2022 |
| 04/17/2024 |
If you would invest 0.00 in Aw Revenue on April 28, 2022 and sell it all today you would earn a total of 0.00 from holding Aw Revenue Royalties or generate 0.0% return on investment in Aw Revenue over 720 days. Aw Revenue is related to or competes with Fidelity Puritan, Fidelity Contrafund, Fidelity Magellan, Vanguard 500, Vanguard 500, Pimco Stocksplus, and Fidelity Growth. AW Revenue Royalties Income Fund, a limited purpose trust, holds the investment in AW Trade Marks Inc., which through it... More
Aw Revenue 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 Aw Revenue's pink sheet 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 Aw Revenue Royalties upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.13) | |||
Maximum Drawdown | 7.9 | |||
Value At Risk | (1.97) | |||
Potential Upside | 2.28 |
Aw Revenue Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aw Revenue's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aw Revenue's standard deviation. In reality, there are many statistical measures that can use Aw Revenue historical prices to predict the future Aw Revenue's volatility.Risk Adjusted Performance | (0.05) | |||
Jensen Alpha | (0.16) | |||
Total Risk Alpha | (0.24) | |||
Treynor Ratio | (0.28) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aw Revenue'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.
Aw Revenue Royalties Backtested Returns
Aw Revenue Royalties retains Efficiency (Sharpe Ratio) of -0.13, which signifies that the fund had a -0.13% return per unit of price deviation over the last 3 months. Aw Revenue exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Aw Revenue's Information Ratio of (0.13), market risk adjusted performance of (0.27), and Variance of 1.91 to double-check the risk estimate we provide. The fund owns a Beta (Systematic Risk) of 0.48, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Aw Revenue's returns are expected to increase less than the market. However, during the bear market, the loss of holding Aw Revenue is expected to be smaller as well.
Auto-correlation | -0.24 |
Weak reverse predictability
Aw Revenue Royalties has weak reverse predictability. Overlapping area represents the amount of predictability between Aw Revenue time series from 28th of April 2022 to 23rd of April 2023 and 23rd of April 2023 to 17th 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 Aw Revenue Royalties price movement. The serial correlation of -0.24 indicates that over 24.0% of current Aw Revenue price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.24 | |
Spearman Rank Test | -0.25 | |
Residual Average | 0.0 | |
Price Variance | 4.01 |
Aw Revenue Royalties lagged returns against current returns
Autocorrelation, which is Aw Revenue pink sheet'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 Aw Revenue's pink sheet expected returns. We can calculate the autocorrelation of Aw Revenue returns to help us make a trade decision. For example, suppose you find that Aw Revenue has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Aw Revenue 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 Aw Revenue pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aw Revenue pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aw Revenue pink sheet over time.
Current vs Lagged Prices |
Timeline |
Aw Revenue Lagged Returns
When evaluating Aw Revenue's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aw Revenue pink sheet have on its future price. Aw Revenue 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, Aw Revenue autocorrelation shows the relationship between Aw Revenue pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Aw Revenue Royalties.
Regressed Prices |
Timeline |
Pair Trading with Aw Revenue
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 Aw Revenue 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 Aw Revenue will appreciate offsetting losses from the drop in the long position's value.Moving against AWRRF Pink Sheet
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0.86 | RYMBX | Commodities Strategy | PairCorr |
0.85 | RYMJX | Commodities Strategy | PairCorr |
0.84 | FCLTX | Fidelity Advisor Ind | PairCorr |
The ability to find closely correlated positions to Aw Revenue could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aw Revenue 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 Aw Revenue - 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 Aw Revenue Royalties to buy it.
The correlation of Aw Revenue 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 Aw Revenue moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aw Revenue Royalties 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 Aw Revenue 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 Aw Revenue Correlation, Aw Revenue Volatility and Aw Revenue Alpha and Beta module to complement your research on Aw Revenue. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Aw Revenue technical pink sheet 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, pink sheet market cycles, or different charting patterns.