Banks Ultrasector Profund Fund Market Value
| BKPSX Fund | USD 57.76 1.12 1.98% |
| Symbol | Banks |
Banks 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 Banks 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 Banks Ultrasector.
| 12/21/2024 |
| 01/20/2025 |
If you would invest 0.00 in Banks Ultrasector on December 21, 2024 and sell it all today you would earn a total of 0.00 from holding Banks Ultrasector Profund or generate 0.0% return on investment in Banks Ultrasector over 30 days. Banks Ultrasector is related to or competes with Glg Intl, Smallcap Fund, Df Dent, Vy Columbia, Needham Small, and Ab Small. The fund invests in financial instruments that the fund advisors believes, in combination, should produce daily returns ... More
Banks 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 Banks 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 Banks Ultrasector Profund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.26 | |||
| Information Ratio | 0.0427 | |||
| Maximum Drawdown | 25.66 | |||
| Value At Risk | (4.38) | |||
| Potential Upside | 4.2 |
Banks Ultrasector Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Banks Ultrasector's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Banks Ultrasector's standard deviation. In reality, there are many statistical measures that can use Banks Ultrasector historical prices to predict the future Banks Ultrasector's volatility.| Risk Adjusted Performance | 0.051 | |||
| Jensen Alpha | 0.1378 | |||
| Total Risk Alpha | 0.0798 | |||
| Sortino Ratio | 0.0593 | |||
| Treynor Ratio | 0.1909 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Banks 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.
Banks Ultrasector Profund Backtested Returns
At this stage we consider Banks Mutual Fund to be very steady. Banks Ultrasector Profund secures Sharpe Ratio (or Efficiency) of 0.0564, which signifies that the fund had a 0.0564 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Banks Ultrasector Profund, which you can use to evaluate the volatility of the entity. Please confirm Banks Ultrasector's Risk Adjusted Performance of 0.051, mean deviation of 1.92, and Downside Deviation of 2.26 to double-check if the risk estimate we provide is consistent with the expected return of 0.18%. The fund shows a Beta (market volatility) of 0.81, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Banks Ultrasector's returns are expected to increase less than the market. However, during the bear market, the loss of holding Banks Ultrasector is expected to be smaller as well.
Auto-correlation | -0.39 |
Poor reverse predictability
Banks Ultrasector Profund has poor reverse predictability. Overlapping area represents the amount of predictability between Banks Ultrasector time series from 21st of December 2024 to 5th of January 2025 and 5th of January 2025 to 20th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Banks Ultrasector Profund price movement. The serial correlation of -0.39 indicates that just about 39.0% of current Banks Ultrasector price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.39 | |
| Spearman Rank Test | -0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 3.99 |
Banks Ultrasector Profund lagged returns against current returns
Autocorrelation, which is Banks 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 Banks Ultrasector's mutual fund expected returns. We can calculate the autocorrelation of Banks Ultrasector returns to help us make a trade decision. For example, suppose you find that Banks 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 |
Banks 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 Banks Ultrasector mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Banks 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 Banks Ultrasector mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Banks Ultrasector Lagged Returns
When evaluating Banks Ultrasector's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Banks Ultrasector mutual fund have on its future price. Banks 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, Banks Ultrasector autocorrelation shows the relationship between Banks Ultrasector mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Banks 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 Banks Mutual Fund
Banks Ultrasector financial ratios help investors to determine whether Banks 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 Banks with respect to the benefits of owning Banks Ultrasector security.
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