Biotechnology Ultrasector Profund Fund Market Value
| BIPSX Fund | USD 43.15 0.79 1.86% |
| Symbol | Biotechnology |
Biotechnology Ultrasector '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 Biotechnology Ultrasector'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 Biotechnology Ultrasector.
| 12/10/2022 |
| 11/29/2024 |
If you would invest 0.00 in Biotechnology Ultrasector on December 10, 2022 and sell it all today you would earn a total of 0.00 from holding Biotechnology Ultrasector Profund or generate 0.0% return on investment in Biotechnology Ultrasector over 720 days. Biotechnology Ultrasector is related to or competes with Biotechnology Ultrasector, Internet Ultrasector, Health Care, Ultranasdaq 100, and Pharmaceuticals Ultrasector. The fund invests in financial instruments that the fund advisors believes, in combination, should produce daily returns ... More
Biotechnology Ultrasector 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 Biotechnology Ultrasector'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 Biotechnology Ultrasector Profund upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 11.87 | |||
| Value At Risk | (4.00) | |||
| Potential Upside | 3.09 |
Biotechnology Ultrasector Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Biotechnology Ultrasector's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Biotechnology Ultrasector's standard deviation. In reality, there are many statistical measures that can use Biotechnology Ultrasector historical prices to predict the future Biotechnology Ultrasector's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.35) | |||
| Treynor Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Biotechnology Ultrasector'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.
Biotechnology Ultrasector Backtested Returns
At this stage we consider Biotechnology Mutual Fund to be very steady. Biotechnology Ultrasector secures Sharpe Ratio (or Efficiency) of 0.0139, which signifies that the fund had a 0.0139% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Biotechnology Ultrasector Profund, which you can use to evaluate the volatility of the entity. Please confirm Biotechnology Ultrasector's Standard Deviation of 2.08, insignificant risk adjusted performance, and Mean Deviation of 1.51 to double-check if the risk estimate we provide is consistent with the expected return of 0.0286%. The fund shows a Beta (market volatility) of 1.74, which signifies 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, Biotechnology Ultrasector will likely underperform.
Auto-correlation | -0.49 |
Modest reverse predictability
Biotechnology Ultrasector Profund has modest reverse predictability. Overlapping area represents the amount of predictability between Biotechnology Ultrasector time series from 10th of December 2022 to 5th of December 2023 and 5th of December 2023 to 29th of November 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 Biotechnology Ultrasector price movement. The serial correlation of -0.49 indicates that about 49.0% of current Biotechnology Ultrasector price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.49 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 7.85 |
Biotechnology Ultrasector lagged returns against current returns
Autocorrelation, which is Biotechnology Ultrasector 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 Biotechnology Ultrasector's mutual fund expected returns. We can calculate the autocorrelation of Biotechnology Ultrasector returns to help us make a trade decision. For example, suppose you find that Biotechnology Ultrasector 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 |
Biotechnology Ultrasector 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 Biotechnology Ultrasector mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Biotechnology Ultrasector mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Biotechnology Ultrasector mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Biotechnology Ultrasector Lagged Returns
When evaluating Biotechnology Ultrasector's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Biotechnology Ultrasector mutual fund have on its future price. Biotechnology Ultrasector 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, Biotechnology Ultrasector autocorrelation shows the relationship between Biotechnology Ultrasector mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Biotechnology Ultrasector Profund.
Regressed Prices |
| Timeline |
Also Currently Popular
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.Other Information on Investing in Biotechnology Mutual Fund
Biotechnology Ultrasector financial ratios help investors to determine whether Biotechnology Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Biotechnology with respect to the benefits of owning Biotechnology Ultrasector security.
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities |