Retailing Portfolio Retailing Fund Market Value
| FSRPX Fund | USD 19.60 0.02 0.10% |
| 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.
| 03/27/2023 |
| 06/19/2024 |
If you would invest 0.00 in Retailing Portfolio on March 27, 2023 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 450 days. Retailing Portfolio is related to or competes with It Services, Software, 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.
| Downside Deviation | 0.7653 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 3.24 | |||
| Value At Risk | (1.15) | |||
| Potential Upside | 1.29 |
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 | 0.0099 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | (0.000066) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Retailing Portfolio'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.
Retailing Portfolio Backtested Returns
Retailing Portfolio maintains Sharpe Ratio (i.e., Efficiency) of -0.0427, which implies the entity had a -0.0427% return per unit of risk over the last 3 months. Retailing Portfolio exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Retailing Portfolio's Risk Adjusted Performance of 0.0099, coefficient of variation of 7805.8, and Semi Deviation of 0.7468 to confirm the risk estimate we provide. The fund holds a Beta of 0.98, which implies possible diversification benefits within a given portfolio. Retailing Portfolio returns are very sensitive to returns on the market. As the market goes up or down, Retailing Portfolio is expected to follow.
Auto-correlation | 0.76 |
Good predictability
Retailing Portfolio Retailing has good predictability. Overlapping area represents the amount of predictability between Retailing Portfolio time series from 27th of March 2023 to 7th of November 2023 and 7th of November 2023 to 19th of June 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 Retailing Portfolio price movement. The serial correlation of 0.76 indicates that around 76.0% of current Retailing Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 1.29 |
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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