Ivy Science And Fund Market Value
| WSTYX Fund | USD 59.54 1.16 1.91% |
| Symbol | Ivy |
Ivy Science '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 Science'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 Science.
| 03/16/2024 |
| 04/15/2024 |
If you would invest 0.00 in Ivy Science on March 16, 2024 and sell it all today you would earn a total of 0.00 from holding Ivy Science And or generate 0.0% return on investment in Ivy Science over 30 days. Ivy Science is related to or competes with VHAI, VivoPower International, Exela Technologies, Wetouch Technology, Ivy Large, Ivy Small, and Ivy High. The fund invests primarily in the equity securities of science and technology companies around the globe More
Ivy Science 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 Science'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 Science And upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.14 | |||
| Information Ratio | 0.1457 | |||
| Maximum Drawdown | 6.3 | |||
| Value At Risk | (1.94) | |||
| Potential Upside | 2.22 |
Ivy Science Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ivy Science's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ivy Science's standard deviation. In reality, there are many statistical measures that can use Ivy Science historical prices to predict the future Ivy Science's volatility.| Risk Adjusted Performance | 0.1331 | |||
| Jensen Alpha | 0.1724 | |||
| Total Risk Alpha | 0.1138 | |||
| Sortino Ratio | 0.1639 | |||
| Treynor Ratio | 0.2104 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ivy Science'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 Science And Backtested Returns
We consider Ivy Science very steady. Ivy Science And 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 Science And, which you can use to evaluate the volatility of the entity. Please check out Ivy Science's Risk Adjusted Performance of 0.1331, downside deviation of 1.14, and Market Risk Adjusted Performance of 0.2204 to validate if the risk estimate we provide is consistent with the expected return of 0.19%. The fund retains a Market Volatility (i.e., Beta) of 1.21, 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, Ivy Science will likely underperform.
Auto-correlation | -0.37 |
Poor reverse predictability
Ivy Science And has poor reverse predictability. Overlapping area represents the amount of predictability between Ivy Science time series from 16th of March 2024 to 31st of March 2024 and 31st of March 2024 to 15th 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 Science And price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Ivy Science price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
Ivy Science And lagged returns against current returns
Autocorrelation, which is Ivy Science 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 Science's mutual fund expected returns. We can calculate the autocorrelation of Ivy Science returns to help us make a trade decision. For example, suppose you find that Ivy Science 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 Science 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 Science mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ivy Science 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 Science mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ivy Science Lagged Returns
When evaluating Ivy Science's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ivy Science mutual fund have on its future price. Ivy Science 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 Science autocorrelation shows the relationship between Ivy Science mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ivy Science And.
Regressed Prices |
| Timeline |
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Check out Ivy Science Correlation, Ivy Science Volatility and Ivy Science Alpha and Beta module to complement your research on Ivy Science. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Ivy Science 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.