Brown Advisory Fund Market Value
| BAQAX Fund | USD 11.15 0.09 0.81% |
| Symbol | Brown |
Brown Advisory '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 Brown Advisory'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 Brown Advisory.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Brown Advisory on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Brown Advisory or generate 0.0% return on investment in Brown Advisory over 30 days. Brown Advisory is related to or competes with Amana Income, Amana Growth, Amana Participation, HUMANA, Barloworld, Morningstar Unconstrained, and High Yield. The fund invests at least 80 percent of the value of its net assets in equity securities issued by companies that are es... More
Brown Advisory 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 Brown Advisory'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 Brown Advisory upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7769 | |||
| Information Ratio | 0.0088 | |||
| Maximum Drawdown | 3.76 | |||
| Value At Risk | (1.09) | |||
| Potential Upside | 1.21 |
Brown Advisory Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Brown Advisory's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Brown Advisory's standard deviation. In reality, there are many statistical measures that can use Brown Advisory historical prices to predict the future Brown Advisory's volatility.| Risk Adjusted Performance | 0.0888 | |||
| Jensen Alpha | 0.0325 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0082 | |||
| Treynor Ratio | 0.132 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Brown Advisory'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.
Brown Advisory Backtested Returns
We consider Brown Advisory very steady. Brown Advisory secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the fund had a 0.15% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Brown Advisory , which you can use to evaluate the volatility of the entity. Please confirm Brown Advisory's Risk Adjusted Performance of 0.0888, downside deviation of 0.7769, and Mean Deviation of 0.5643 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. The fund shows a Beta (market volatility) of 0.69, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Brown Advisory's returns are expected to increase less than the market. However, during the bear market, the loss of holding Brown Advisory is expected to be smaller as well.
Auto-correlation | -0.71 |
Almost perfect reverse predictability
Brown Advisory has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Brown Advisory time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Brown Advisory price movement. The serial correlation of -0.71 indicates that around 71.0% of current Brown Advisory price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.71 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Brown Advisory lagged returns against current returns
Autocorrelation, which is Brown Advisory 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 Brown Advisory's mutual fund expected returns. We can calculate the autocorrelation of Brown Advisory returns to help us make a trade decision. For example, suppose you find that Brown Advisory 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 |
Brown Advisory 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 Brown Advisory mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Brown Advisory mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Brown Advisory mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Brown Advisory Lagged Returns
When evaluating Brown Advisory's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Brown Advisory mutual fund have on its future price. Brown Advisory 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, Brown Advisory autocorrelation shows the relationship between Brown Advisory mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Brown Advisory .
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 Brown Advisory 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, Brown Advisory's short interest history, or implied volatility extrapolated from Brown Advisory options trading.
Pair Trading with Brown Advisory
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 Brown Advisory 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 Brown Advisory will appreciate offsetting losses from the drop in the long position's value.Moving together with Brown Mutual Fund
| 0.78 | BAFMX | Brown Advisory Mid | PairCorr |
| 0.89 | BAFLX | Brown Advisory Global | PairCorr |
| 0.68 | BAFGX | Brown Advisory Growth | PairCorr |
| 0.94 | BAFHX | Brown Advisory | PairCorr |
| 0.91 | BAFFX | Brown Advisory Flexible | PairCorr |
The ability to find closely correlated positions to Brown Advisory could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Brown Advisory 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 Brown Advisory - 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 Brown Advisory to buy it.
The correlation of Brown Advisory 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 Brown Advisory moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Brown Advisory 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 Brown Advisory 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 Brown Advisory Correlation, Brown Advisory Volatility and Brown Advisory Alpha and Beta module to complement your research on Brown Advisory. Note that the Brown Advisory information on this page should be used as a complementary analysis to other Brown Advisory'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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Brown Advisory 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.