Old Westbury New Fund Market Value
| OWNYX Fund | USD 9.77 0.01 0.10% |
| Symbol | Old |
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.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Old Westbury on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Old Westbury New or generate 0.0% return on investment in Old Westbury over 30 days. Old Westbury is related to or competes with Dreyfus New, Franklin New, Franklin New, and Ab New. The fund invests primarily in a non-diversified portfolio of investment-grade municipal securities 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 New upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.59) | |||
| Maximum Drawdown | 1.41 | |||
| Value At Risk | (0.30) | |||
| Potential Upside | 0.2026 |
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.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | (0.17) |
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.
Old Westbury New Backtested Returns
Old Westbury New maintains Sharpe Ratio (i.e., Efficiency) of -0.063, which implies the entity had a -0.063% return per unit of risk over the last 3 months. Old Westbury New exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Old Westbury's Coefficient Of Variation of (1,932), risk adjusted performance of (0.06), and Variance of 0.031 to confirm the risk estimate we provide. The fund holds a Beta of 0.11, which implies not very significant fluctuations relative to the market. As returns on the market increase, Old Westbury's returns are expected to increase less than the market. However, during the bear market, the loss of holding Old Westbury is expected to be smaller as well.
Auto-correlation | 0.67 |
Good predictability
Old Westbury New has good predictability. Overlapping area represents the amount of predictability between Old Westbury time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Old Westbury New price movement. The serial correlation of 0.67 indicates that around 67.0% of current Old Westbury price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Old Westbury New 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 New.
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 Old Westbury 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, Old Westbury's short interest history, or implied volatility extrapolated from Old Westbury options trading.
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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.