Scharf Balanced Opportunity Fund Market Value
| LOGOX Fund | USD 38.54 0.09 0.23% |
| Symbol | Scharf |
Scharf Balanced '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 Scharf Balanced'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 Scharf Balanced.
| 07/07/2025 |
| 01/03/2026 |
If you would invest 0.00 in Scharf Balanced on July 7, 2025 and sell it all today you would earn a total of 0.00 from holding Scharf Balanced Opportunity or generate 0.0% return on investment in Scharf Balanced over 180 days. Scharf Balanced is related to or competes with T Rowe, Greenspring Fund, Artisan Select, T Rowe, Jhancock Global, Calvert International, and Dws Equity. The fund invests in a mix of equity securities and fixed-income securities More
Scharf Balanced 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 Scharf Balanced'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 Scharf Balanced Opportunity upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 3.7 | |||
| Value At Risk | (0.93) | |||
| Potential Upside | 0.7344 |
Scharf Balanced Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scharf Balanced's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scharf Balanced's standard deviation. In reality, there are many statistical measures that can use Scharf Balanced historical prices to predict the future Scharf Balanced's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | (0.04) |
Scharf Balanced Oppo Backtested Returns
Scharf Balanced Oppo owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0453, which indicates the fund had a -0.0453 % return per unit of risk over the last 3 months. Scharf Balanced Opportunity exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scharf Balanced's Variance of 0.3711, risk adjusted performance of (0.02), and Coefficient Of Variation of (5,138) to confirm the risk estimate we provide. The entity has a beta of 0.52, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Scharf Balanced's returns are expected to increase less than the market. However, during the bear market, the loss of holding Scharf Balanced is expected to be smaller as well.
Auto-correlation | 0.38 |
Below average predictability
Scharf Balanced Opportunity has below average predictability. Overlapping area represents the amount of predictability between Scharf Balanced time series from 7th of July 2025 to 5th of October 2025 and 5th of October 2025 to 3rd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Scharf Balanced Oppo price movement. The serial correlation of 0.38 indicates that just about 38.0% of current Scharf Balanced price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | -0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 0.29 |
Scharf Balanced Oppo lagged returns against current returns
Autocorrelation, which is Scharf Balanced 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 Scharf Balanced's mutual fund expected returns. We can calculate the autocorrelation of Scharf Balanced returns to help us make a trade decision. For example, suppose you find that Scharf Balanced 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 |
Scharf Balanced 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 Scharf Balanced mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Scharf Balanced mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Scharf Balanced mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Scharf Balanced Lagged Returns
When evaluating Scharf Balanced's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Scharf Balanced mutual fund have on its future price. Scharf Balanced 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, Scharf Balanced autocorrelation shows the relationship between Scharf Balanced mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Scharf Balanced Opportunity.
Regressed Prices |
| Timeline |
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Other Information on Investing in Scharf Mutual Fund
Scharf Balanced financial ratios help investors to determine whether Scharf 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 Scharf with respect to the benefits of owning Scharf Balanced security.
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