Ultra Small Pany Market Fund Market Value
| BRSIX Fund | USD 11.07 0.05 0.45% |
| Symbol | Ultra-small |
Ultra-small Company '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 Ultra-small Company'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 Ultra-small Company.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in Ultra-small Company on May 6, 2022 and sell it all today you would earn a total of 0.00 from holding Ultra Small Pany Market or generate 0.0% return on investment in Ultra-small Company over 720 days. Ultra-small Company is related to or competes with Aggressive Investors, Managed Volatility, Small-cap Value, Ultra Small, and Omni Small-cap. The fund invests at least 80 percent of its net assets in ultra-small company stocks based on company size at the time o... More
Ultra-small Company 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 Ultra-small Company'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 Ultra Small Pany Market upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 7.91 | |||
| Value At Risk | (2.21) | |||
| Potential Upside | 2.19 |
Ultra-small Company Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ultra-small Company's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ultra-small Company's standard deviation. In reality, there are many statistical measures that can use Ultra-small Company historical prices to predict the future Ultra-small Company's volatility.| Risk Adjusted Performance | 0.0041 | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ultra-small Company'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.
Ultra-small Company Backtested Returns
Ultra-small Company owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0104, which indicates the fund had a -0.0104% return per unit of risk over the last 3 months. Ultra Small Pany Market exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Ultra-small Company's Coefficient Of Variation of (36,637), variance of 2.21, and Risk Adjusted Performance of 0.0041 to confirm the risk estimate we provide. The entity has a beta of 1.64, which indicates 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, Ultra-small Company will likely underperform.
Auto-correlation | 0.15 |
Insignificant predictability
Ultra Small Pany Market has insignificant predictability. Overlapping area represents the amount of predictability between Ultra-small Company time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 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 Ultra-small Company price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Ultra-small Company price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.7 |
Ultra-small Company lagged returns against current returns
Autocorrelation, which is Ultra-small Company 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 Ultra-small Company's mutual fund expected returns. We can calculate the autocorrelation of Ultra-small Company returns to help us make a trade decision. For example, suppose you find that Ultra-small Company 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 |
Ultra-small Company 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 Ultra-small Company mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ultra-small Company mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ultra-small Company mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ultra-small Company Lagged Returns
When evaluating Ultra-small Company's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ultra-small Company mutual fund have on its future price. Ultra-small Company 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, Ultra-small Company autocorrelation shows the relationship between Ultra-small Company mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ultra Small Pany Market.
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 Ultra-small Company 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, Ultra-small Company's short interest history, or implied volatility extrapolated from Ultra-small Company options trading.
Pair Trading with Ultra-small Company
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Ultra-small Company position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ultra-small Company will appreciate offsetting losses from the drop in the long position's value.Moving together with Ultra-small Mutual Fund
| 0.74 | BRAGX | Aggressive Investors | PairCorr |
| 0.71 | BRSVX | Small Cap Value | PairCorr |
| 0.89 | BRUSX | Ultra Small Pany | PairCorr |
Moving against Ultra-small Mutual Fund
| 0.53 | DFTPX | Dfa Target Value | PairCorr |
| 0.53 | DFTVX | Dfa Inv Dimensions | PairCorr |
The ability to find closely correlated positions to Ultra-small Company could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ultra-small Company when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Ultra-small Company - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Ultra Small Pany Market to buy it.
The correlation of Ultra-small Company is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Ultra-small Company moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ultra-small Company moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Ultra-small Company can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Ultra-small Company Correlation, Ultra-small Company Volatility and Ultra-small Company Alpha and Beta module to complement your research on Ultra-small Company. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Ultra-small Company 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.