Ivy E Equity Fund Market Value
| WCEYX Fund | USD 18.86 0.11 0.58% |
| Symbol | Ivy |
Ivy E '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 Ivy E'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 Ivy E.
| 03/21/2024 |
| 04/20/2024 |
If you would invest 0.00 in Ivy E on March 21, 2024 and sell it all today you would earn a total of 0.00 from holding Ivy E Equity or generate 0.0% return on investment in Ivy E over 30 days. Ivy E is related to or competes with Ivy Large, Ivy Small, Ivy High, Ivy Apollo, Ivy Apollo, Ivy Apollo, and Ivy Small. The fund seeks to achieve its objective by investing, under normal circumstances, at least 80 percent of its net assets ... More
Ivy E 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 Ivy E'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 Ivy E Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9298 | |||
| Information Ratio | 0.0306 | |||
| Maximum Drawdown | 4.82 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.19 |
Ivy E Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ivy E's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ivy E's standard deviation. In reality, there are many statistical measures that can use Ivy E historical prices to predict the future Ivy E's volatility.| Risk Adjusted Performance | 0.0867 | |||
| Jensen Alpha | 0.0252 | |||
| Total Risk Alpha | 0.0018 | |||
| Sortino Ratio | 0.0261 | |||
| Treynor Ratio | 0.1009 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ivy E'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.
Ivy E Equity Backtested Returns
We consider Ivy E very steady. Ivy E Equity holds Efficiency (Sharpe) Ratio of 0.0963, which attests that the entity had a 0.0963% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Ivy E Equity, which you can use to evaluate the volatility of the entity. Please check out Ivy E's Risk Adjusted Performance of 0.0867, market risk adjusted performance of 0.1109, and Downside Deviation of 0.9298 to validate if the risk estimate we provide is consistent with the expected return of 0.076%. The fund retains a Market Volatility (i.e., Beta) of 0.99, which attests to possible diversification benefits within a given portfolio. Ivy E returns are very sensitive to returns on the market. As the market goes up or down, Ivy E is expected to follow.
Auto-correlation | 0.69 |
Good predictability
Ivy E Equity has good predictability. Overlapping area represents the amount of predictability between Ivy E time series from 21st of March 2024 to 5th of April 2024 and 5th of April 2024 to 20th 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 Ivy E Equity price movement. The serial correlation of 0.69 indicates that around 69.0% of current Ivy E price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Ivy E Equity lagged returns against current returns
Autocorrelation, which is Ivy E 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 Ivy E's mutual fund expected returns. We can calculate the autocorrelation of Ivy E returns to help us make a trade decision. For example, suppose you find that Ivy E 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 |
Ivy E 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 Ivy E mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ivy E mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ivy E mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ivy E Lagged Returns
When evaluating Ivy E's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ivy E mutual fund have on its future price. Ivy E 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, Ivy E autocorrelation shows the relationship between Ivy E mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ivy E Equity.
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 Ivy E 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, Ivy E's short interest history, or implied volatility extrapolated from Ivy E options trading.
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Ivy E Correlation, Ivy E Volatility and Ivy E Alpha and Beta module to complement your research on Ivy E. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Ivy E 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.