Segall Bryant Hamill Fund Market Value
| SBHCX Fund | USD 14.26 0.03 0.21% |
| Symbol | Segall |
Segall Bryant '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 Segall Bryant'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 Segall Bryant.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Segall Bryant on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Segall Bryant Hamill or generate 0.0% return on investment in Segall Bryant over 30 days. Segall Bryant is related to or competes with World Energy, Ivy Energy, Oil Gas, Jennison Natural, Franklin Natural, and Firsthand Alternative. The fund will invest at least 80 percent of its net assets in small-cap companies More
Segall Bryant 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 Segall Bryant'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 Segall Bryant Hamill upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.19 | |||
| Information Ratio | 0.002 | |||
| Maximum Drawdown | 6.95 | |||
| Value At Risk | (1.81) | |||
| Potential Upside | 1.82 |
Segall Bryant Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Segall Bryant's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Segall Bryant's standard deviation. In reality, there are many statistical measures that can use Segall Bryant historical prices to predict the future Segall Bryant's volatility.| Risk Adjusted Performance | 0.0952 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0019 | |||
| Treynor Ratio | 0.0973 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Segall Bryant'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.
Segall Bryant Hamill Backtested Returns
At this stage we consider Segall Mutual Fund to be very steady. Segall Bryant Hamill owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the fund had a 0.16% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Segall Bryant Hamill, which you can use to evaluate the volatility of the fund. Please validate Segall Bryant's Semi Deviation of 0.9389, coefficient of variation of 833.47, and Risk Adjusted Performance of 0.0952 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. The entity has a beta of 1.34, 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, Segall Bryant will likely underperform.
Auto-correlation | 0.94 |
Excellent predictability
Segall Bryant Hamill has excellent predictability. Overlapping area represents the amount of predictability between Segall Bryant 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 Segall Bryant Hamill price movement. The serial correlation of 0.94 indicates that approximately 94.0% of current Segall Bryant price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.94 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Segall Bryant Hamill lagged returns against current returns
Autocorrelation, which is Segall Bryant 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 Segall Bryant's mutual fund expected returns. We can calculate the autocorrelation of Segall Bryant returns to help us make a trade decision. For example, suppose you find that Segall Bryant 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 |
Segall Bryant 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 Segall Bryant mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Segall Bryant mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Segall Bryant mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Segall Bryant Lagged Returns
When evaluating Segall Bryant's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Segall Bryant mutual fund have on its future price. Segall Bryant 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, Segall Bryant autocorrelation shows the relationship between Segall Bryant mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Segall Bryant Hamill.
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 Segall Mutual Fund
Segall Bryant financial ratios help investors to determine whether Segall 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 Segall with respect to the benefits of owning Segall Bryant security.
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |