Ivy Asset Strategy Fund Market Value
| WASAX Fund | USD 21.19 0.23 1.10% |
| Symbol | Ivy |
Ivy Asset '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 Asset'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 Asset.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Ivy Asset on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Ivy Asset Strategy or generate 0.0% return on investment in Ivy Asset over 30 days. Ivy Asset is related to or competes with Optimum Small, Optimum Small, Delaware High, Delaware High-yield, Delaware High, Delaware High, and Delaware High-yield. The fund seeks to achieve its objective by allocating its assets among different asset classes of varying correlation ar... More
Ivy Asset 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 Asset'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 Asset Strategy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6448 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.63 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 1.04 |
Ivy Asset Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ivy Asset's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ivy Asset's standard deviation. In reality, there are many statistical measures that can use Ivy Asset historical prices to predict the future Ivy Asset's volatility.| Risk Adjusted Performance | 0.0781 | |||
| Jensen Alpha | 0.0075 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0892 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ivy Asset'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 Asset Strategy Backtested Returns
We consider Ivy Asset very steady. Ivy Asset Strategy holds Efficiency (Sharpe) Ratio of 0.1, which attests that the entity had a 0.1% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Ivy Asset Strategy, which you can use to evaluate the volatility of the entity. Please check out Ivy Asset's Risk Adjusted Performance of 0.0781, downside deviation of 0.6448, and Market Risk Adjusted Performance of 0.0992 to validate if the risk estimate we provide is consistent with the expected return of 0.0613%. The fund retains a Market Volatility (i.e., Beta) of 0.75, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Ivy Asset's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ivy Asset is expected to be smaller as well.
Auto-correlation | 0.36 |
Below average predictability
Ivy Asset Strategy has below average predictability. Overlapping area represents the amount of predictability between Ivy Asset time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Asset Strategy price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Ivy Asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | -0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Ivy Asset Strategy lagged returns against current returns
Autocorrelation, which is Ivy Asset 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 Asset's mutual fund expected returns. We can calculate the autocorrelation of Ivy Asset returns to help us make a trade decision. For example, suppose you find that Ivy Asset 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 Asset 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 Asset mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ivy Asset 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 Asset mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ivy Asset Lagged Returns
When evaluating Ivy Asset's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ivy Asset mutual fund have on its future price. Ivy Asset 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 Asset autocorrelation shows the relationship between Ivy Asset mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ivy Asset Strategy.
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.Check out Ivy Asset Correlation, Ivy Asset Volatility and Ivy Asset Alpha and Beta module to complement your research on Ivy Asset. Note that the Ivy Asset Strategy information on this page should be used as a complementary analysis to other Ivy Asset'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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Ivy Asset 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.