Ab Relative Value Fund Market Value
| CBBRX Fund | USD 6.38 0.03 0.47% |
| Symbol | CBBRX |
Ab Relative '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 Ab Relative'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 Ab Relative.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Ab Relative on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Ab Relative Value or generate 0.0% return on investment in Ab Relative over 30 days. Ab Relative is related to or competes with Ab Global, Ab Global, Ab Global, Ab Minnesota, Ab Minnesota, Ab All, and Ab All. The fund invests primarily in the equity securities of U.S More
Ab Relative 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 Ab Relative'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 Ab Relative Value upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7368 | |||
| Information Ratio | 0.0234 | |||
| Maximum Drawdown | 2.77 | |||
| Value At Risk | (1.13) | |||
| Potential Upside | 0.8375 |
Ab Relative Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ab Relative's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ab Relative's standard deviation. In reality, there are many statistical measures that can use Ab Relative historical prices to predict the future Ab Relative's volatility.| Risk Adjusted Performance | 0.1124 | |||
| Jensen Alpha | 0.0243 | |||
| Total Risk Alpha | 0.0208 | |||
| Sortino Ratio | 0.0176 | |||
| Treynor Ratio | 0.1076 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ab Relative'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.
Ab Relative Value Backtested Returns
We consider Ab Relative very steady. Ab Relative Value 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. We have found twenty-seven technical indicators for Ab Relative, which you can use to evaluate the volatility of the entity. Please confirm Ab Relative's Market Risk Adjusted Performance of 0.1176, coefficient of variation of 542.54, and Standard Deviation of 0.5545 to double-check if the risk estimate we provide is consistent with the expected return of 0.0713%. The fund owns a Beta (Systematic Risk) of 0.86, which signifies possible diversification benefits within a given portfolio. Ab Relative returns are very sensitive to returns on the market. As the market goes up or down, Ab Relative is expected to follow.
Auto-correlation | -0.3 |
Weak reverse predictability
Ab Relative Value has weak reverse predictability. Overlapping area represents the amount of predictability between Ab Relative time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Ab Relative Value price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current Ab Relative price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Ab Relative Value lagged returns against current returns
Autocorrelation, which is Ab Relative 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 Ab Relative's mutual fund expected returns. We can calculate the autocorrelation of Ab Relative returns to help us make a trade decision. For example, suppose you find that Ab Relative 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 |
Ab Relative 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 Ab Relative mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ab Relative mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ab Relative mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ab Relative Lagged Returns
When evaluating Ab Relative's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ab Relative mutual fund have on its future price. Ab Relative 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, Ab Relative autocorrelation shows the relationship between Ab Relative mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ab Relative Value.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Ab Relative in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Ab Relative's short interest history, or implied volatility extrapolated from Ab Relative options trading.
Pair Trading with Ab Relative
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 Ab Relative 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 Ab Relative will appreciate offsetting losses from the drop in the long position's value.Moving together with CBBRX Mutual Fund
| 0.98 | GCEAX | Ab Global E | PairCorr |
| 0.97 | GCECX | Ab Global E | PairCorr |
| 0.98 | GCEYX | Ab Global E | PairCorr |
The ability to find closely correlated positions to Ab Relative could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ab Relative 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 Ab Relative - 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 Ab Relative Value to buy it.
The correlation of Ab Relative 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 Ab Relative moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ab Relative Value 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 Ab Relative 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 Ab Relative Correlation, Ab Relative Volatility and Ab Relative Alpha and Beta module to complement your research on Ab Relative. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Ab Relative 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.