William Blair Large Fund Market Value
| LCGNX Fund | USD 25.12 0.12 0.48% |
| Symbol | William |
William Blair '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 William Blair'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 William Blair.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in William Blair on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding William Blair Large or generate 0.0% return on investment in William Blair over 30 days. William Blair is related to or competes with William Blair, William Blair, William Blair, William Blair, William Blair, William Blair, and William Blair. The fund normally invests at least 80 percent of its net assets in stocks of large capitalized companies More
William Blair 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 William Blair'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 William Blair Large upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9871 | |||
| Information Ratio | 0.0446 | |||
| Maximum Drawdown | 5.04 | |||
| Value At Risk | (1.64) | |||
| Potential Upside | 1.73 |
William Blair Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for William Blair's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as William Blair's standard deviation. In reality, there are many statistical measures that can use William Blair historical prices to predict the future William Blair's volatility.| Risk Adjusted Performance | 0.0732 | |||
| Jensen Alpha | 0.0378 | |||
| Total Risk Alpha | 0.0075 | |||
| Sortino Ratio | 0.0459 | |||
| Treynor Ratio | 0.092 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of William Blair'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.
William Blair Large Backtested Returns
We consider William Blair very steady. William Blair Large shows Sharpe Ratio of 0.0797, which attests that the fund had a 0.0797% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for William Blair Large, which you can use to evaluate the volatility of the fund. Please check out William Blair's Market Risk Adjusted Performance of 0.102, mean deviation of 0.753, and Downside Deviation of 0.9871 to validate if the risk estimate we provide is consistent with the expected return of 0.0808%. The entity maintains a market beta of 1.13, which attests to a somewhat significant risk relative to the market. William Blair returns are very sensitive to returns on the market. As the market goes up or down, William Blair is expected to follow.
Auto-correlation | 0.75 |
Good predictability
William Blair Large has good predictability. Overlapping area represents the amount of predictability between William Blair time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 William Blair Large price movement. The serial correlation of 0.75 indicates that around 75.0% of current William Blair price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
William Blair Large lagged returns against current returns
Autocorrelation, which is William Blair 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 William Blair's mutual fund expected returns. We can calculate the autocorrelation of William Blair returns to help us make a trade decision. For example, suppose you find that William Blair 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 |
William Blair 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 William Blair mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if William Blair mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in William Blair mutual fund over time.
Current vs Lagged Prices |
| Timeline |
William Blair Lagged Returns
When evaluating William Blair's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of William Blair mutual fund have on its future price. William Blair 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, William Blair autocorrelation shows the relationship between William Blair mutual fund current value and its past values and can show if there is a momentum factor associated with investing in William Blair Large.
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 William Blair 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, William Blair's short interest history, or implied volatility extrapolated from William Blair options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out William Blair Correlation, William Blair Volatility and William Blair Alpha and Beta module to complement your research on William Blair. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
William Blair 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.