Canterbury Portfolio Thermostat Fund Market Value
| CAPTX Fund | USD 10.67 0.05 0.47% |
| Symbol | Canterbury |
Canterbury Portfolio '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 Canterbury Portfolio'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 Canterbury Portfolio.
| 04/06/2024 |
| 05/06/2024 |
If you would invest 0.00 in Canterbury Portfolio on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Canterbury Portfolio Thermostat or generate 0.0% return on investment in Canterbury Portfolio over 30 days. Canterbury Portfolio is related to or competes with Center Coast, Fidelity Short, Fidelity Advisor, Gabelli Utility, T Rowe, and Harding Loevner. The fund is designed to pursue risk-adjusted growth by maintaining an efficient portfolio exhibiting lower or decreasing... More
Canterbury Portfolio 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 Canterbury Portfolio'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 Canterbury Portfolio Thermostat upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4538 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 1.83 | |||
| Value At Risk | (0.74) | |||
| Potential Upside | 0.8475 |
Canterbury Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Canterbury Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Canterbury Portfolio's standard deviation. In reality, there are many statistical measures that can use Canterbury Portfolio historical prices to predict the future Canterbury Portfolio's volatility.| Risk Adjusted Performance | 0.0853 | |||
| Jensen Alpha | 0.0225 | |||
| Total Risk Alpha | 0.0038 | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.129 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Canterbury Portfolio'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.
Canterbury Portfolio Backtested Returns
We consider Canterbury Portfolio very steady. Canterbury Portfolio secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the fund had a 0.13% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Canterbury Portfolio Thermostat, which you can use to evaluate the volatility of the entity. Please confirm Canterbury Portfolio's Mean Deviation of 0.3087, downside deviation of 0.4538, and Risk Adjusted Performance of 0.0853 to double-check if the risk estimate we provide is consistent with the expected return of 0.0506%. The fund shows a Beta (market volatility) of 0.38, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Canterbury Portfolio's returns are expected to increase less than the market. However, during the bear market, the loss of holding Canterbury Portfolio is expected to be smaller as well.
Auto-correlation | 0.32 |
Below average predictability
Canterbury Portfolio Thermostat has below average predictability. Overlapping area represents the amount of predictability between Canterbury Portfolio time series from 6th of April 2024 to 21st of April 2024 and 21st of April 2024 to 6th of May 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 Canterbury Portfolio price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Canterbury Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | -0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Canterbury Portfolio lagged returns against current returns
Autocorrelation, which is Canterbury Portfolio 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 Canterbury Portfolio's mutual fund expected returns. We can calculate the autocorrelation of Canterbury Portfolio returns to help us make a trade decision. For example, suppose you find that Canterbury Portfolio 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 |
Canterbury Portfolio 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 Canterbury Portfolio mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Canterbury Portfolio mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Canterbury Portfolio mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Canterbury Portfolio Lagged Returns
When evaluating Canterbury Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Canterbury Portfolio mutual fund have on its future price. Canterbury Portfolio 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, Canterbury Portfolio autocorrelation shows the relationship between Canterbury Portfolio mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Canterbury Portfolio Thermostat.
Regressed Prices |
| Timeline |
Pair Trading with Canterbury Portfolio
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 Canterbury Portfolio 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 Canterbury Portfolio will appreciate offsetting losses from the drop in the long position's value.Moving against Canterbury Mutual Fund
| 0.66 | UIPIX | Ultrashort Mid Cap Potential Growth | PairCorr |
The ability to find closely correlated positions to Canterbury Portfolio could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Canterbury Portfolio 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 Canterbury Portfolio - 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 Canterbury Portfolio Thermostat to buy it.
The correlation of Canterbury Portfolio 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 Canterbury Portfolio moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Canterbury Portfolio 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 Canterbury Portfolio 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 Canterbury Portfolio Correlation, Canterbury Portfolio Volatility and Canterbury Portfolio Alpha and Beta module to complement your research on Canterbury Portfolio. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Canterbury Portfolio 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.