Zevenbergen Growth Fund Market Value
| ZVNBX Fund | USD 28.61 0.30 1.06% |
| Symbol | Zevenbergen |
Zevenbergen Growth '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 Zevenbergen Growth'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 Zevenbergen Growth.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Zevenbergen Growth on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Zevenbergen Growth Fund or generate 0.0% return on investment in Zevenbergen Growth over 30 days. Zevenbergen Growth is related to or competes with Vanguard Target, Vanguard Precious, Vanguard Total, Janus Research, and Et Vn. The fund seeks to invest in companies that are industry leaders with significant growth potential, strong competitive ad... More
Zevenbergen Growth 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 Zevenbergen Growth'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 Zevenbergen Growth Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.51 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 6.8 | |||
| Value At Risk | (2.26) | |||
| Potential Upside | 2.22 |
Zevenbergen Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Zevenbergen Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Zevenbergen Growth's standard deviation. In reality, there are many statistical measures that can use Zevenbergen Growth historical prices to predict the future Zevenbergen Growth's volatility.| Risk Adjusted Performance | 0.0145 | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0074 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Zevenbergen Growth'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.
Zevenbergen Growth Backtested Returns
Zevenbergen Growth shows Sharpe Ratio of -0.0284, which attests that the fund had a -0.0284% return per unit of risk over the last 3 months. Zevenbergen Growth exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Zevenbergen Growth's Mean Deviation of 1.13, downside deviation of 1.51, and Market Risk Adjusted Performance of 0.0174 to validate the risk estimate we provide. The entity maintains a market beta of 1.47, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Zevenbergen Growth will likely underperform.
Auto-correlation | 0.81 |
Very good predictability
Zevenbergen Growth Fund has very good predictability. Overlapping area represents the amount of predictability between Zevenbergen Growth 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 Zevenbergen Growth price movement. The serial correlation of 0.81 indicates that around 81.0% of current Zevenbergen Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.96 |
Zevenbergen Growth lagged returns against current returns
Autocorrelation, which is Zevenbergen Growth 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 Zevenbergen Growth's mutual fund expected returns. We can calculate the autocorrelation of Zevenbergen Growth returns to help us make a trade decision. For example, suppose you find that Zevenbergen Growth 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 |
Zevenbergen Growth 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 Zevenbergen Growth mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Zevenbergen Growth mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Zevenbergen Growth mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Zevenbergen Growth Lagged Returns
When evaluating Zevenbergen Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Zevenbergen Growth mutual fund have on its future price. Zevenbergen Growth 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, Zevenbergen Growth autocorrelation shows the relationship between Zevenbergen Growth mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Zevenbergen Growth 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 Zevenbergen Growth 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, Zevenbergen Growth's short interest history, or implied volatility extrapolated from Zevenbergen Growth 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 Zevenbergen Growth Correlation, Zevenbergen Growth Volatility and Zevenbergen Growth Alpha and Beta module to complement your research on Zevenbergen Growth. Note that the Zevenbergen Growth information on this page should be used as a complementary analysis to other Zevenbergen Growth'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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Zevenbergen Growth 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.