Allianzgi Health Sciences Fund Market Value
| RAGHX Fund | USD 29.54 0.11 0.37% |
| Symbol | Allianzgi |
Allianzgi Health '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 Allianzgi Health'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 Allianzgi Health.
| 01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Allianzgi Health on January 26, 2024 and sell it all today you would earn a total of 0.00 from holding Allianzgi Health Sciences or generate 0.0% return on investment in Allianzgi Health over 90 days. Allianzgi Health is related to or competes with Allianzgi Nfj, Allianzgi Convertible, Allianzgi Nfj, Allianzgi Focused, Allianzgi Nfj, Allianzgi Vertible, and Allianzgi Vertible. The fund seeks to achieve its objective by normally investing at least 80 percent of its net assets in health sciences-r... More
Allianzgi Health 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 Allianzgi Health'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 Allianzgi Health Sciences upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7802 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 4.33 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.56 |
Allianzgi Health Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Allianzgi Health's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Allianzgi Health's standard deviation. In reality, there are many statistical measures that can use Allianzgi Health historical prices to predict the future Allianzgi Health's volatility.| Risk Adjusted Performance | 0.0258 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0209 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Allianzgi Health'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.
Allianzgi Health Sciences Backtested Returns
We consider Allianzgi Health very steady. Allianzgi Health Sciences secures Sharpe Ratio (or Efficiency) of 0.0518, which signifies that the fund had a 0.0518% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Allianzgi Health Sciences, which you can use to evaluate the volatility of the entity. Please confirm Allianzgi Health's Downside Deviation of 0.7802, risk adjusted performance of 0.0258, and Mean Deviation of 0.6041 to double-check if the risk estimate we provide is consistent with the expected return of 0.0432%. The fund shows a Beta (market volatility) of 1.0, which signifies possible diversification benefits within a given portfolio. Allianzgi Health returns are very sensitive to returns on the market. As the market goes up or down, Allianzgi Health is expected to follow.
Auto-correlation | -0.67 |
Very good reverse predictability
Allianzgi Health Sciences has very good reverse predictability. Overlapping area represents the amount of predictability between Allianzgi Health time series from 26th of January 2024 to 11th of March 2024 and 11th of March 2024 to 25th 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 Allianzgi Health Sciences price movement. The serial correlation of -0.67 indicates that around 67.0% of current Allianzgi Health price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.67 | |
| Spearman Rank Test | -0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.43 |
Allianzgi Health Sciences lagged returns against current returns
Autocorrelation, which is Allianzgi Health 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 Allianzgi Health's mutual fund expected returns. We can calculate the autocorrelation of Allianzgi Health returns to help us make a trade decision. For example, suppose you find that Allianzgi Health 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 |
Allianzgi Health 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 Allianzgi Health mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Allianzgi Health mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Allianzgi Health mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Allianzgi Health Lagged Returns
When evaluating Allianzgi Health's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Allianzgi Health mutual fund have on its future price. Allianzgi Health 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, Allianzgi Health autocorrelation shows the relationship between Allianzgi Health mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Allianzgi Health Sciences.
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 Allianzgi Health 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, Allianzgi Health's short interest history, or implied volatility extrapolated from Allianzgi Health options trading.
Currently Active Assets on Macroaxis
Check out Allianzgi Health Correlation, Allianzgi Health Volatility and Allianzgi Health Alpha and Beta module to complement your research on Allianzgi Health. Note that the Allianzgi Health Sciences information on this page should be used as a complementary analysis to other Allianzgi Health'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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Allianzgi Health 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.