Ivy Balanced Fund Market Value
| IYBIX Fund | USD 21.20 0.04 0.19% |
| 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.
| 05/24/2023 |
| 04/18/2024 |
If you would invest 0.00 in Ivy Balanced on May 24, 2023 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 330 days. Ivy Balanced is related to or competes with T Rowe, Ips Strategic, Rbb Fund, Ab Select, Balanced Fund, Arrow Managed, and Small Pany. The investment seeks to provide total return through a combination of capital appreciation and current income 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 | 0.7766 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 4.06 | |||
| Value At Risk | (1.14) | |||
| Potential Upside | 0.8662 |
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 | 0.0499 | |||
| Jensen Alpha | 0.0341 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.2784 |
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
We consider Ivy Balanced very steady. Ivy Balanced holds Efficiency (Sharpe) Ratio of 0.0789, which attests that the entity had a 0.0789% return per unit of risk over the last 3 months. We have found twenty-eight 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 0.7766, risk adjusted performance of 0.0499, and Market Risk Adjusted Performance of 0.2884 to validate if the risk estimate we provide is consistent with the expected return of 0.0507%. The fund retains a Market Volatility (i.e., Beta) of 0.15, which attests to not very significant fluctuations relative to the market. 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 | -0.24 |
Weak reverse predictability
Ivy Balanced Fund has weak reverse predictability. Overlapping area represents the amount of predictability between Ivy Balanced time series from 24th of May 2023 to 5th of November 2023 and 5th of November 2023 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 Ivy Balanced price movement. The serial correlation of -0.24 indicates that over 24.0% of current Ivy Balanced price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.84 |
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 |
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 Balanced 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 Balanced's short interest history, or implied volatility extrapolated from Ivy Balanced options trading.
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Ivy Balanced 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.