Automotive Portfolio Automotive Fund Market Value
| FSAVX Fund | USD 53.47 0.99 1.89% |
| Symbol | Automotive |
Automotive 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 Automotive 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 Automotive Portfolio.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Automotive Portfolio on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Automotive Portfolio Automotive or generate 0.0% return on investment in Automotive Portfolio over 90 days. Automotive Portfolio is related to or competes with Consumer Discretionary, Construction, Environment, Transportation Portfolio, and Leisure Portfolio. The fund normally invests at least 80 percent of assets in securities of companies principally engaged in the manufactur... More
Automotive 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 Automotive 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 Automotive Portfolio Automotive upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0128 | |||
| Maximum Drawdown | 5.23 | |||
| Value At Risk | (2.26) | |||
| Potential Upside | 1.84 |
Automotive Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Automotive Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Automotive Portfolio's standard deviation. In reality, there are many statistical measures that can use Automotive Portfolio historical prices to predict the future Automotive Portfolio's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | 0.0116 | |||
| Total Risk Alpha | 0.0623 | |||
| Treynor Ratio | (0.1) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Automotive 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.
Automotive Portfolio Backtested Returns
Automotive Portfolio secures Sharpe Ratio (or Efficiency) of -0.078, which signifies that the fund had a -0.078 % return per unit of risk over the last 3 months. Automotive Portfolio Automotive exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Automotive Portfolio's Risk Adjusted Performance of (0.06), standard deviation of 1.24, and Mean Deviation of 0.9681 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.96, which signifies possible diversification benefits within a given portfolio. Automotive Portfolio returns are very sensitive to returns on the market. As the market goes up or down, Automotive Portfolio is expected to follow.
Auto-correlation | -0.36 |
Poor reverse predictability
Automotive Portfolio Automotive has poor reverse predictability. Overlapping area represents the amount of predictability between Automotive 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 Automotive Portfolio price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Automotive Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 1.66 |
Automotive Portfolio lagged returns against current returns
Autocorrelation, which is Automotive 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 Automotive Portfolio's mutual fund expected returns. We can calculate the autocorrelation of Automotive Portfolio returns to help us make a trade decision. For example, suppose you find that Automotive 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 |
Automotive 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 Automotive Portfolio mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Automotive 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 Automotive Portfolio mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Automotive Portfolio Lagged Returns
When evaluating Automotive Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Automotive Portfolio mutual fund have on its future price. Automotive 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, Automotive Portfolio autocorrelation shows the relationship between Automotive Portfolio mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Automotive Portfolio Automotive.
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 Automotive Mutual Fund
Automotive Portfolio financial ratios help investors to determine whether Automotive 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 Automotive with respect to the benefits of owning Automotive Portfolio security.
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