Old Westbury Large Fund Market Value

OWLSX Fund  USD 18.75  0.20  1.08%   
Old Westbury's market value is the price at which a share of Old Westbury trades on a public exchange. It measures the collective expectations of Old Westbury Large investors about its performance. Old Westbury is trading at 18.75 as of the 5th of May 2024; that is 1.08 percent up since the beginning of the trading day. The fund's open price was 18.55.
With this module, you can estimate the performance of a buy and hold strategy of Old Westbury Large and determine expected loss or profit from investing in Old Westbury over a given investment horizon. Check out Old Westbury Correlation, Old Westbury Volatility and Old Westbury Alpha and Beta module to complement your research on Old Westbury.
Symbol

Please note, there is a significant difference between Old Westbury's value and its price as these two are different measures arrived at by different means. Investors typically determine if Old Westbury is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Old Westbury's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Old Westbury '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 Old Westbury'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 Old Westbury.
0.00
04/05/2024
No Change 0.00  0.0 
In 31 days
05/05/2024
0.00
If you would invest  0.00  in Old Westbury on April 5, 2024 and sell it all today you would earn a total of 0.00 from holding Old Westbury Large or generate 0.0% return on investment in Old Westbury over 30 days. Old Westbury is related to or competes with American Funds, New Perspective, New Perspective, New Perspective, New Perspective, New Perspective, and New Perspective. Under normal circumstances, the fund invests at least 80 percent of its net assets, including any borrowings for investm... More

Old Westbury 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 Old Westbury'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 Old Westbury Large upside and downside potential and time the market with a certain degree of confidence.

Old Westbury Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Old Westbury's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Old Westbury's standard deviation. In reality, there are many statistical measures that can use Old Westbury historical prices to predict the future Old Westbury's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Old Westbury'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.
Hype
Prediction
LowEstimatedHigh
17.9818.7519.52
Details
Intrinsic
Valuation
LowRealHigh
17.9318.7019.47
Details
Naive
Forecast
LowNextHigh
18.2319.0019.78
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
18.1018.6419.19
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Old Westbury. Your research has to be compared to or analyzed against Old Westbury's peers to derive any actionable benefits. When done correctly, Old Westbury's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Old Westbury Large.

Old Westbury Large Backtested Returns

We consider Old Westbury very steady. Old Westbury Large maintains Sharpe Ratio (i.e., Efficiency) of 0.0988, which implies the entity had a 0.0988% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Old Westbury Large, which you can use to evaluate the volatility of the fund. Please check Old Westbury's Coefficient Of Variation of 770.79, semi deviation of 0.6201, and Risk Adjusted Performance of 0.0838 to confirm if the risk estimate we provide is consistent with the expected return of 0.0763%. The fund holds a Beta of 0.95, which implies possible diversification benefits within a given portfolio. Old Westbury returns are very sensitive to returns on the market. As the market goes up or down, Old Westbury is expected to follow.

Auto-correlation

    
  -0.24  

Weak reverse predictability

Old Westbury Large has weak reverse predictability. Overlapping area represents the amount of predictability between Old Westbury time series from 5th of April 2024 to 20th of April 2024 and 20th of April 2024 to 5th of May 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 Old Westbury Large price movement. The serial correlation of -0.24 indicates that over 24.0% of current Old Westbury price fluctuation can be explain by its past prices.
Correlation Coefficient-0.24
Spearman Rank Test-0.53
Residual Average0.0
Price Variance0.02

Old Westbury Large lagged returns against current returns

Autocorrelation, which is Old Westbury 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 Old Westbury's mutual fund expected returns. We can calculate the autocorrelation of Old Westbury returns to help us make a trade decision. For example, suppose you find that Old Westbury 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  

Old Westbury 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 Old Westbury mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Old Westbury mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Old Westbury mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Old Westbury Lagged Returns

When evaluating Old Westbury's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Old Westbury mutual fund have on its future price. Old Westbury 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, Old Westbury autocorrelation shows the relationship between Old Westbury mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Old Westbury Large.
   Regressed Prices   
       Timeline  

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 Architect
Check out Old Westbury Correlation, Old Westbury Volatility and Old Westbury Alpha and Beta module to complement your research on Old Westbury.
You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Old Westbury 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.
A focus of Old Westbury technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Old Westbury trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...