Health Biotchnology Portfolio Fund Market Value
SHPAX Fund | USD 20.13 0.25 1.26% |
Symbol | Health |
Health Biotchnology '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 Health Biotchnology'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 Health Biotchnology.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Health Biotchnology on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Health Biotchnology Portfolio or generate 0.0% return on investment in Health Biotchnology over 30 days. Health Biotchnology is related to or competes with State Farm, Salient Alternative, Aggressive Balanced, Salient Alternative, Moderately Aggressive, Salient Mlp, and Moderately Aggressive. The fund will normally invest at least 80 percent of its total assets in equity securities of U.S More
Health Biotchnology 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 Health Biotchnology'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 Health Biotchnology Portfolio upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.4516 | |||
Information Ratio | (0.04) | |||
Maximum Drawdown | 2.87 | |||
Value At Risk | (0.71) | |||
Potential Upside | 0.9132 |
Health Biotchnology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Health Biotchnology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Health Biotchnology's standard deviation. In reality, there are many statistical measures that can use Health Biotchnology historical prices to predict the future Health Biotchnology's volatility.Risk Adjusted Performance | 0.1199 | |||
Jensen Alpha | 0.1231 | |||
Total Risk Alpha | (0.01) | |||
Sortino Ratio | (0.05) | |||
Treynor Ratio | (0.60) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Health Biotchnology'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.
Health Biotchnology Backtested Returns
We consider Health Biotchnology very steady. Health Biotchnology holds Efficiency (Sharpe) Ratio of 0.18, which attests that the entity had a 0.18% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Health Biotchnology, which you can use to evaluate the volatility of the entity. Please check out Health Biotchnology's risk adjusted performance of 0.1199, and Market Risk Adjusted Performance of (0.59) to validate if the risk estimate we provide is consistent with the expected return of 0.0979%. The fund retains a Market Volatility (i.e., Beta) of -0.17, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Health Biotchnology are expected to decrease at a much lower rate. During the bear market, Health Biotchnology is likely to outperform the market.
Auto-correlation | 0.50 |
Modest predictability
Health Biotchnology Portfolio has modest predictability. Overlapping area represents the amount of predictability between Health Biotchnology time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Health Biotchnology price movement. The serial correlation of 0.5 indicates that about 50.0% of current Health Biotchnology price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.5 | |
Spearman Rank Test | 0.65 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Health Biotchnology lagged returns against current returns
Autocorrelation, which is Health Biotchnology 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 Health Biotchnology's mutual fund expected returns. We can calculate the autocorrelation of Health Biotchnology returns to help us make a trade decision. For example, suppose you find that Health Biotchnology 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 |
Health Biotchnology 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 Health Biotchnology mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Health Biotchnology mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Health Biotchnology mutual fund over time.
Current vs Lagged Prices |
Timeline |
Health Biotchnology Lagged Returns
When evaluating Health Biotchnology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Health Biotchnology mutual fund have on its future price. Health Biotchnology 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, Health Biotchnology autocorrelation shows the relationship between Health Biotchnology mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Health Biotchnology Portfolio.
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 Health Biotchnology 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, Health Biotchnology's short interest history, or implied volatility extrapolated from Health Biotchnology options trading.
Currently Active Assets on Macroaxis
Check out Health Biotchnology Correlation, Health Biotchnology Volatility and Health Biotchnology Alpha and Beta module to complement your research on Health Biotchnology. Note that the Health Biotchnology information on this page should be used as a complementary analysis to other Health Biotchnology'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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Complementary Tools for Health Mutual Fund analysis
When running Health Biotchnology's price analysis, check to measure Health Biotchnology's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Health Biotchnology is operating at the current time. Most of Health Biotchnology's value examination focuses on studying past and present price action to predict the probability of Health Biotchnology's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Health Biotchnology's price. Additionally, you may evaluate how the addition of Health Biotchnology to your portfolios can decrease your overall portfolio volatility.
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
CEOs Directory Screen CEOs from public companies around the world | |
Content Syndication Quickly integrate customizable finance content to your own investment portal |
Health Biotchnology 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.