Camelot Event Driven Fund Market Value
| EVDIX Fund | USD 19.66 0.10 0.51% |
| Symbol | Camelot |
Camelot Event '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 Camelot Event'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 Camelot Event.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Camelot Event on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Camelot Event Driven or generate 0.0% return on investment in Camelot Event over 30 days. Camelot Event is related to or competes with HUMANA, and Spring Valley. To achieve the funds investment objective, the adviser invests in the securities of publicly traded companies involved i... More
Camelot Event 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 Camelot Event'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 Camelot Event Driven upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3347 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 1.34 | |||
| Value At Risk | (0.51) | |||
| Potential Upside | 0.5198 |
Camelot Event Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Camelot Event's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Camelot Event's standard deviation. In reality, there are many statistical measures that can use Camelot Event historical prices to predict the future Camelot Event's volatility.| Risk Adjusted Performance | 0.024 | |||
| Jensen Alpha | 0.0096 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | (0.11) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Camelot Event'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.
Camelot Event Driven Backtested Returns
We consider Camelot Event very steady. Camelot Event Driven secures Sharpe Ratio (or Efficiency) of 0.0818, which signifies that the fund had a 0.0818% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Camelot Event Driven, which you can use to evaluate the volatility of the entity. Please confirm Camelot Event's Risk Adjusted Performance of 0.024, mean deviation of 0.2353, and Downside Deviation of 0.3347 to double-check if the risk estimate we provide is consistent with the expected return of 0.0244%. The fund shows a Beta (market volatility) of -0.0628, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Camelot Event are expected to decrease at a much lower rate. During the bear market, Camelot Event is likely to outperform the market.
Auto-correlation | -0.46 |
Modest reverse predictability
Camelot Event Driven has modest reverse predictability. Overlapping area represents the amount of predictability between Camelot Event time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Camelot Event Driven price movement. The serial correlation of -0.46 indicates that about 46.0% of current Camelot Event price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Camelot Event Driven lagged returns against current returns
Autocorrelation, which is Camelot Event 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 Camelot Event's mutual fund expected returns. We can calculate the autocorrelation of Camelot Event returns to help us make a trade decision. For example, suppose you find that Camelot Event 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 |
Camelot Event 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 Camelot Event mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Camelot Event mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Camelot Event mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Camelot Event Lagged Returns
When evaluating Camelot Event's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Camelot Event mutual fund have on its future price. Camelot Event 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, Camelot Event autocorrelation shows the relationship between Camelot Event mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Camelot Event Driven.
Regressed Prices |
| Timeline |
Pair Trading with Camelot Event
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 Camelot Event 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 Camelot Event will appreciate offsetting losses from the drop in the long position's value.Moving together with Camelot Mutual Fund
| 1.0 | EVDAX | Camelot Event Driven | PairCorr |
The ability to find closely correlated positions to Camelot Event could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Camelot Event 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 Camelot Event - 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 Camelot Event Driven to buy it.
The correlation of Camelot Event 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 Camelot Event moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Camelot Event Driven 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 Camelot Event 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 Camelot Event Correlation, Camelot Event Volatility and Camelot Event Alpha and Beta module to complement your research on Camelot Event. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Camelot Event 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.