Financials Ultrasector Profund Fund Market Value
| FNPIX Fund | USD 28.32 0.31 1.11% |
| Symbol | Financials |
Financials 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 Financials 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 Financials Ultrasector.
| 11/02/2023 |
| 12/02/2023 |
If you would invest 0.00 in Financials Ultrasector on November 2, 2023 and sell it all today you would earn a total of 0.00 from holding Financials Ultrasector Profund or generate 0.0% return on investment in Financials Ultrasector over 30 days. Financials Ultrasector is related to or competes with Nasdaq-100, Nasdaq-100, Ultranasdaq-100 Profund, and Chevron Corp. The investment seeks investment results, before fees and expenses, that correspond to one and one-half times the daily p... More
Financials 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 Financials 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 Financials Ultrasector Profund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.35 | |||
| Information Ratio | 0.0605 | |||
| Maximum Drawdown | 4.29 | |||
| Value At Risk | (2.47) | |||
| Potential Upside | 2.02 |
Financials Ultrasector Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Financials Ultrasector's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Financials Ultrasector's standard deviation. In reality, there are many statistical measures that can use Financials Ultrasector historical prices to predict the future Financials Ultrasector's volatility.| Risk Adjusted Performance | 0.0548 | |||
| Jensen Alpha | 0.081 | |||
| Total Risk Alpha | 0.0813 | |||
| Sortino Ratio | 0.0588 | |||
| Treynor Ratio | 0.0479 |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Financials 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. Please use the tools below to analyze the current value of Financials Ultrasector in the context of predictive analytics.
Financials Ultrasector Backtested Returns
We consider Financials Ultrasector very steady. Financials Ultrasector secures Sharpe Ratio (or Efficiency) of 0.0892, which denotes the fund had 0.0892% of return per unit of risk over the last 3 months. Our standpoint towards predicting the volatility of a fund is to use all available market data together with fund-specific technical indicators that cannot be diversified away. We have found twenty-six technical indicators for Financials Ultrasector Profund, which you can use to evaluate the future volatility of the entity. Please confirm Financials Ultrasector Downside Deviation of 1.35, mean deviation of 1.01, and Coefficient Of Variation of 1513.93 to check if the risk estimate we provide is consistent with the expected return of 0.12%. The fund shows a Beta (market volatility) of 1.6038, which means 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, Financials Ultrasector will likely underperform. By reviewing Financials Ultrasector technical indicators, you can presently evaluate if the expected return of 0.12% will be sustainable into the future.
Auto-correlation | 0.92 |
Excellent predictability
Financials Ultrasector Profund has excellent predictability. Overlapping area represents the amount of predictability between Financials Ultrasector time series from 2nd of November 2023 to 17th of November 2023 and 17th of November 2023 to 2nd of December 2023. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Financials Ultrasector price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Financials Ultrasector price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Financials Ultrasector lagged returns against current returns
Autocorrelation, which is Financials 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 Financials Ultrasector's mutual fund expected returns. We can calculate the autocorrelation of Financials Ultrasector returns to help us make a trade decision. For example, suppose you find that Financials Ultrasector mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Financials 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 Financials Ultrasector mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Financials 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 Financials Ultrasector mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Financials Ultrasector Lagged Returns
When evaluating Financials Ultrasector's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Financials Ultrasector mutual fund have on its future price. Financials 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, Financials Ultrasector autocorrelation shows the relationship between Financials Ultrasector mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Financials Ultrasector Profund.
Regressed Prices |
| Timeline |
Be your own money manager
Our tools can tell you how much better you can do entering a position in Financials Ultrasector without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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| All Next | Launch Module |
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Financials Ultrasector using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out Financials Ultrasector Correlation, Financials Ultrasector Volatility and Financials Ultrasector Alpha and Beta module to complement your research on Financials Ultrasector. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Complementary Tools for Financials Mutual Fund analysis
When running Financials Ultrasector's price analysis, check to measure Financials Ultrasector'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 Financials Ultrasector is operating at the current time. Most of Financials Ultrasector's value examination focuses on studying past and present price action to predict the probability of Financials Ultrasector's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Financials Ultrasector's price. Additionally, you may evaluate how the addition of Financials Ultrasector to your portfolios can decrease your overall portfolio volatility.
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Financials Ultrasector 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.