Retailing Portfolio Retailing Fund Market Value
| FSRPX Fund | USD 18.69 0.32 1.74% |
| Symbol | Retailing |
Retailing Portfolio '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 Retailing Portfolio'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 Retailing Portfolio.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Retailing Portfolio on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Retailing Portfolio Retailing or generate 0.0% return on investment in Retailing Portfolio over 90 days. Retailing Portfolio is related to or competes with It Services, Software And, Leisure Portfolio, Multimedia Portfolio, and Consumer Discretionary. The fund invests primarily in common stocks More
Retailing Portfolio 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 Retailing Portfolio'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 Retailing Portfolio Retailing upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 6.55 | |||
| Value At Risk | (2.34) | |||
| Potential Upside | 1.46 |
Retailing Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Retailing Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Retailing Portfolio's standard deviation. In reality, there are many statistical measures that can use Retailing Portfolio historical prices to predict the future Retailing Portfolio's volatility.| Risk Adjusted Performance | (0.18) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | (0.34) |
Retailing Portfolio Backtested Returns
Retailing Portfolio maintains Sharpe Ratio (i.e., Efficiency) of -0.23, which implies the entity had a -0.23 % return per unit of risk over the last 3 months. Retailing Portfolio exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Retailing Portfolio's Coefficient Of Variation of (470.95), risk adjusted performance of (0.18), and Variance of 1.74 to confirm the risk estimate we provide. The fund holds a Beta of 0.84, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Retailing Portfolio's returns are expected to increase less than the market. However, during the bear market, the loss of holding Retailing Portfolio is expected to be smaller as well.
Auto-correlation | -0.02 |
Very weak reverse predictability
Retailing Portfolio Retailing has very weak reverse predictability. Overlapping area represents the amount of predictability between Retailing Portfolio time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Retailing Portfolio price movement. The serial correlation of -0.02 indicates that only 2.0% of current Retailing Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.02 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.8 |
Retailing Portfolio lagged returns against current returns
Autocorrelation, which is Retailing Portfolio 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 Retailing Portfolio's mutual fund expected returns. We can calculate the autocorrelation of Retailing Portfolio returns to help us make a trade decision. For example, suppose you find that Retailing Portfolio 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 |
Retailing Portfolio 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 Retailing Portfolio mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Retailing Portfolio mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Retailing Portfolio mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Retailing Portfolio Lagged Returns
When evaluating Retailing Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Retailing Portfolio mutual fund have on its future price. Retailing Portfolio 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, Retailing Portfolio autocorrelation shows the relationship between Retailing Portfolio mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Retailing Portfolio Retailing.
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 Retailing Mutual Fund
Retailing Portfolio financial ratios help investors to determine whether Retailing 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 Retailing with respect to the benefits of owning Retailing Portfolio security.
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