Low Duration Bond Institutional Fund Market Value
| GLDYX Fund | USD 12.85 0.01 0.08% |
| Symbol | Low |
Low Duration '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 Low Duration'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 Low Duration.
| 12/26/2022 |
| 12/15/2024 |
If you would invest 0.00 in Low Duration on December 26, 2022 and sell it all today you would earn a total of 0.00 from holding Low Duration Bond Institutional or generate 0.0% return on investment in Low Duration over 720 days. Low Duration is related to or competes with Davis Financial, Gabelli Global, Royce Global, Vanguard Financials, John Hancock, and Mesirow Financial. The fund invests mainly in investment grade fixed income instruments More
Low Duration 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 Low Duration'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 Low Duration Bond Institutional upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1131 | |||
| Information Ratio | (1.04) | |||
| Maximum Drawdown | 0.4679 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.1566 |
Low Duration Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Low Duration's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Low Duration's standard deviation. In reality, there are many statistical measures that can use Low Duration historical prices to predict the future Low Duration's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.84) | |||
| Treynor Ratio | (0.93) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Low Duration'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.
Low Duration Bond Backtested Returns
At this stage we consider Low Mutual Fund to be very steady. Low Duration Bond has Sharpe Ratio of 0.0138, which conveys that the entity had a 0.0138% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Low Duration, which you can use to evaluate the volatility of the fund. Please verify Low Duration's Mean Deviation of 0.0678, downside deviation of 0.1131, and Risk Adjusted Performance of (0.03) to check out if the risk estimate we provide is consistent with the expected return of 0.0012%. The fund secures a Beta (Market Risk) of 0.0056, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Low Duration's returns are expected to increase less than the market. However, during the bear market, the loss of holding Low Duration is expected to be smaller as well.
Auto-correlation | 0.78 |
Good predictability
Low Duration Bond Institutional has good predictability. Overlapping area represents the amount of predictability between Low Duration time series from 26th of December 2022 to 21st of December 2023 and 21st of December 2023 to 15th of December 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 Low Duration Bond price movement. The serial correlation of 0.78 indicates that around 78.0% of current Low Duration price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Low Duration Bond lagged returns against current returns
Autocorrelation, which is Low Duration 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 Low Duration's mutual fund expected returns. We can calculate the autocorrelation of Low Duration returns to help us make a trade decision. For example, suppose you find that Low Duration 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 |
Low Duration 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 Low Duration mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Low Duration mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Low Duration mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Low Duration Lagged Returns
When evaluating Low Duration's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Low Duration mutual fund have on its future price. Low Duration 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, Low Duration autocorrelation shows the relationship between Low Duration mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Low Duration Bond Institutional.
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 Low Mutual Fund
Low Duration financial ratios help investors to determine whether Low 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 Low with respect to the benefits of owning Low Duration security.
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