Ivy E Equity Fund Market Value
| ICEQX Fund | USD 22.30 2.22 9.05% |
| 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.
| 11/15/2024 |
| 12/15/2024 |
If you would invest 0.00 in Ivy E on November 15, 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 Invesco Energy, Short Oil, Fidelity Advisor, Hennessy, Energy Basic, and Thrivent Natural. 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.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 4.11 | |||
| Value At Risk | (0.94) | |||
| Potential Upside | 0.9382 |
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 | (0.0008) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.02) |
Ivy E Equity Backtested Returns
Ivy E Equity holds Efficiency (Sharpe) Ratio of -0.0202, which attests that the entity had a -0.0202% return per unit of risk over the last 3 months. Ivy E Equity exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Ivy E's Standard Deviation of 1.33, risk adjusted performance of (0.0008), and Market Risk Adjusted Performance of (0.01) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.89, 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 | -0.7 |
Very good reverse predictability
Ivy E Equity has very good reverse predictability. Overlapping area represents the amount of predictability between Ivy E time series from 15th of November 2024 to 30th of November 2024 and 30th of November 2024 to 15th of December 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 -0.7 indicates that around 70.0% of current Ivy E price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.83 |
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 |
Also Currently Popular
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.Other Information on Investing in Ivy Mutual Fund
Ivy E financial ratios help investors to determine whether Ivy Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Ivy with respect to the benefits of owning Ivy E security.
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