Ivy Balanced Fund Market Value
| IBNYX Fund | USD 24.14 0.10 0.42% |
| Symbol | Ivy |
Ivy Balanced '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 Balanced'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 Balanced.
| 09/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Ivy Balanced on September 27, 2024 and sell it all today you would earn a total of 0.00 from holding Ivy Balanced Fund or generate 0.0% return on investment in Ivy Balanced over 60 days. Ivy Balanced is related to or competes with Simt Real, Dunham Real, Prudential Real, Real Estate, Guggenheim Risk, T Rowe, and Tiaa-cref Real. The fund seeks to achieve its objective by investing primarily in a diversified mix of stocks, debt securities and short... More
Ivy Balanced 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 Balanced'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 Balanced Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5558 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 2.44 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 0.883 |
Ivy Balanced Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ivy Balanced's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ivy Balanced's standard deviation. In reality, there are many statistical measures that can use Ivy Balanced historical prices to predict the future Ivy Balanced's volatility.| Risk Adjusted Performance | 0.0885 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | 0.0928 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ivy Balanced'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 Balanced Backtested Returns
At this stage we consider Ivy Mutual Fund to be very steady. Ivy Balanced holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Ivy Balanced, which you can use to evaluate the volatility of the entity. Please check out Ivy Balanced's Downside Deviation of 0.5558, market risk adjusted performance of 0.1028, and Risk Adjusted Performance of 0.0885 to validate if the risk estimate we provide is consistent with the expected return of 0.0701%. The fund retains a Market Volatility (i.e., Beta) of 0.56, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Ivy Balanced's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ivy Balanced is expected to be smaller as well.
Auto-correlation | 0.33 |
Below average predictability
Ivy Balanced Fund has below average predictability. Overlapping area represents the amount of predictability between Ivy Balanced time series from 27th of September 2024 to 27th of October 2024 and 27th of October 2024 to 26th of November 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 Balanced price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Ivy Balanced price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Ivy Balanced lagged returns against current returns
Autocorrelation, which is Ivy Balanced 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 Balanced's mutual fund expected returns. We can calculate the autocorrelation of Ivy Balanced returns to help us make a trade decision. For example, suppose you find that Ivy Balanced 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 Balanced 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 Balanced mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ivy Balanced 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 Balanced mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ivy Balanced Lagged Returns
When evaluating Ivy Balanced's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ivy Balanced mutual fund have on its future price. Ivy Balanced 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 Balanced autocorrelation shows the relationship between Ivy Balanced mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ivy Balanced Fund.
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 Balanced 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 Balanced security.
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