Transportation Fund Class Fund Market Value
| RYCNX Fund | USD 41.24 0.25 0.60% |
| Symbol | Transportation |
Transportation Fund '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 Transportation Fund'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 Transportation Fund.
| 01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Transportation Fund on January 26, 2024 and sell it all today you would earn a total of 0.00 from holding Transportation Fund Class or generate 0.0% return on investment in Transportation Fund over 90 days. Transportation Fund is related to or competes with T Rowe, T Rowe, T Rowe, T Rowe, and T Rowe. Under normal circumstances, the fund invests substantially all of its net assets in equity securities of Transportation ... More
Transportation Fund 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 Transportation Fund'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 Transportation Fund Class upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 5.06 | |||
| Value At Risk | (1.88) | |||
| Potential Upside | 1.82 |
Transportation Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Transportation Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Transportation Fund's standard deviation. In reality, there are many statistical measures that can use Transportation Fund historical prices to predict the future Transportation Fund's volatility.| Risk Adjusted Performance | 0.0104 | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 4.0E-4 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Transportation Fund'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.
Transportation Fund Class Backtested Returns
Transportation Fund Class owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0051, which indicates the fund had a -0.0051% return per unit of risk over the last 3 months. Transportation Fund Class exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Transportation Fund's Coefficient Of Variation of 9951.75, risk adjusted performance of 0.0104, and Semi Deviation of 1.13 to confirm the risk estimate we provide. The entity has a beta of 1.43, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Transportation Fund will likely underperform.
Auto-correlation | -0.31 |
Poor reverse predictability
Transportation Fund Class has poor reverse predictability. Overlapping area represents the amount of predictability between Transportation Fund time series from 26th of January 2024 to 11th of March 2024 and 11th of March 2024 to 25th of April 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 Transportation Fund Class price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Transportation Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 1.24 |
Transportation Fund Class lagged returns against current returns
Autocorrelation, which is Transportation Fund 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 Transportation Fund's mutual fund expected returns. We can calculate the autocorrelation of Transportation Fund returns to help us make a trade decision. For example, suppose you find that Transportation Fund 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 |
Transportation Fund 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 Transportation Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Transportation Fund mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Transportation Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Transportation Fund Lagged Returns
When evaluating Transportation Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Transportation Fund mutual fund have on its future price. Transportation Fund 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, Transportation Fund autocorrelation shows the relationship between Transportation Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Transportation Fund Class.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Transportation Fund in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Transportation Fund's short interest history, or implied volatility extrapolated from Transportation Fund options trading.
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Check out Transportation Fund Correlation, Transportation Fund Volatility and Transportation Fund Alpha and Beta module to complement your research on Transportation Fund. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Transportation Fund technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.