Brown Advisory Funds Fund Market Value
| BAFYX Fund | USD 11.08 0.04 0.36% |
| 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.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Brown Advisory on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Brown Advisory Funds or generate 0.0% return on investment in Brown Advisory over 30 days. Brown Advisory is related to or competes with Brown Advisory, Brown Advisory, Brown Advisory, Brown Advisory, Brown Advisory, Brown Advisory, and Brown Advisory. Under normal conditions, Brown Advisory LLC seeks to achieve the funds investment objective by investing at least 80 percent of the value of its net assets in equity securities of small domestic companies that satisfy the funds Fundamental and Environmental, Social and Governance criteria. 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 Funds upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9477 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 6.89 | |||
| Value At Risk | (1.43) | |||
| Potential Upside | 1.84 |
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 | 0.0877 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0879 |
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 Funds Backtested Returns
At this stage we consider Brown Mutual Fund to be very steady. Brown Advisory Funds secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the fund had a 0.13% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Brown Advisory Funds, which you can use to evaluate the volatility of the entity. Please confirm Brown Advisory's Risk Adjusted Performance of 0.0877, mean deviation of 0.7967, and Downside Deviation of 0.9477 to double-check if the risk estimate we provide is consistent with the expected return of 0.15%. The fund shows a Beta (market volatility) of 1.34, 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, Brown Advisory will likely underperform.
Auto-correlation | 0.84 |
Very good predictability
Brown Advisory Funds has very good predictability. Overlapping area represents the amount of predictability between Brown Advisory time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Brown Advisory Funds price movement. The serial correlation of 0.84 indicates that around 84.0% of current Brown Advisory price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.84 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Brown Advisory Funds 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 Funds.
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 Brown Mutual Fund
Brown Advisory financial ratios help investors to determine whether Brown 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 Brown with respect to the benefits of owning Brown Advisory security.
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