Compass Capital Low Fund Market Value
| CLDBX Fund | USD 8.93 0.01 0.11% |
| Symbol | Compass |
Compass Capital '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 Compass Capital'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 Compass Capital.
| 07/04/2022 |
| 04/24/2024 |
If you would invest 0.00 in Compass Capital on July 4, 2022 and sell it all today you would earn a total of 0.00 from holding Compass Capital Low or generate 0.0% return on investment in Compass Capital over 660 days. Compass Capital is related to or competes with Vanguard Short, Vanguard Short, Vanguard Short, and Vanguard Short. The fund invests primarily in investment grade bonds and maintains an average portfolio duration that is between 0 and 3... More
Compass Capital 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 Compass Capital'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 Compass Capital Low upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1975 | |||
| Information Ratio | (0.56) | |||
| Maximum Drawdown | 1.01 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.2252 |
Compass Capital Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Compass Capital's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Compass Capital's standard deviation. In reality, there are many statistical measures that can use Compass Capital historical prices to predict the future Compass Capital's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.45) | |||
| Treynor Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Compass Capital'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.
Compass Capital Low Backtested Returns
We consider Compass Capital very steady. Compass Capital Low secures Sharpe Ratio (or Efficiency) of 0.0341, which signifies that the fund had a 0.0341% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Compass Capital Low, which you can use to evaluate the volatility of the entity. Please confirm Compass Capital's Risk Adjusted Performance of (0), mean deviation of 0.1014, and Downside Deviation of 0.1975 to double-check if the risk estimate we provide is consistent with the expected return of 0.0055%. The fund shows a Beta (market volatility) of 0.0644, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Compass Capital's returns are expected to increase less than the market. However, during the bear market, the loss of holding Compass Capital is expected to be smaller as well.
Auto-correlation | 0.74 |
Good predictability
Compass Capital Low has good predictability. Overlapping area represents the amount of predictability between Compass Capital time series from 4th of July 2022 to 30th of May 2023 and 30th of May 2023 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 Compass Capital Low price movement. The serial correlation of 0.74 indicates that around 74.0% of current Compass Capital price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Compass Capital Low lagged returns against current returns
Autocorrelation, which is Compass Capital 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 Compass Capital's mutual fund expected returns. We can calculate the autocorrelation of Compass Capital returns to help us make a trade decision. For example, suppose you find that Compass Capital 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 |
Compass Capital 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 Compass Capital mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Compass Capital mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Compass Capital mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Compass Capital Lagged Returns
When evaluating Compass Capital's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Compass Capital mutual fund have on its future price. Compass Capital 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, Compass Capital autocorrelation shows the relationship between Compass Capital mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Compass Capital Low.
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 Compass Capital 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, Compass Capital's short interest history, or implied volatility extrapolated from Compass Capital options trading.
Pair Trading with Compass Capital
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 Compass Capital 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 Compass Capital will appreciate offsetting losses from the drop in the long position's value.Moving together with Compass Mutual Fund
| 0.76 | MKCPX | Blackrock Balanced | PairCorr |
| 0.7 | MKEFX | Blackrock Eurofund Class | PairCorr |
| 0.7 | MKDCX | Blackrock Emerging | PairCorr |
| 0.75 | MKDVX | Blackrock Equity Dividend | PairCorr |
The ability to find closely correlated positions to Compass Capital could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Compass Capital 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 Compass Capital - 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 Compass Capital Low to buy it.
The correlation of Compass Capital 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 Compass Capital moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Compass Capital Low 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 Compass Capital 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 Compass Capital Correlation, Compass Capital Volatility and Compass Capital Alpha and Beta module to complement your research on Compass Capital. Note that the Compass Capital Low information on this page should be used as a complementary analysis to other Compass Capital'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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Compass Capital 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.