The Torray Fund Market Value
TORYX Fund | USD 54.70 0.01 0.02% |
Symbol | The |
The Torray '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 The Torray'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 The Torray.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in The Torray on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding The Torray Fund or generate 0.0% return on investment in The Torray over 30 days. The Torray is related to or competes with Artisan Small, Cardinal Small, Calvert Smallmid-cap, Qs Us, Vy Jpmorgan, Lebenthal Lisanti, and Ab Small. The fund invests principally in common stock of large-capitalization domestic companies More
The Torray 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 The Torray'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 The Torray Fund upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.4582 | |||
Information Ratio | 0.0961 | |||
Maximum Drawdown | 2.71 | |||
Value At Risk | (0.63) | |||
Potential Upside | 1.07 |
The Torray Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for The Torray's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as The Torray's standard deviation. In reality, there are many statistical measures that can use The Torray historical prices to predict the future The Torray's volatility.Risk Adjusted Performance | 0.1983 | |||
Jensen Alpha | 0.1688 | |||
Total Risk Alpha | 0.059 | |||
Sortino Ratio | 0.1073 | |||
Treynor Ratio | 4.69 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of The Torray'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.
The Torray Fund Backtested Returns
We consider The Torray very steady. The Torray Fund owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.33, which indicates the fund had a 0.33% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for The Torray Fund, which you can use to evaluate the volatility of the fund. Please validate The Torray's Risk Adjusted Performance of 0.1983, downside deviation of 0.4582, and Standard Deviation of 0.5114 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. The entity has a beta of 0.037, which indicates not very significant fluctuations relative to the market. As returns on the market increase, the Torray's returns are expected to increase less than the market. However, during the bear market, the loss of holding the Torray is expected to be smaller as well.
Auto-correlation | 0.62 |
Good predictability
The Torray Fund has good predictability. Overlapping area represents the amount of predictability between The Torray time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 The Torray Fund price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current The Torray price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.62 | |
Spearman Rank Test | 0.57 | |
Residual Average | 0.0 | |
Price Variance | 0.21 |
The Torray Fund lagged returns against current returns
Autocorrelation, which is The Torray 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 The Torray's mutual fund expected returns. We can calculate the autocorrelation of The Torray returns to help us make a trade decision. For example, suppose you find that The Torray 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 |
The Torray 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 The Torray mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if The Torray mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in The Torray mutual fund over time.
Current vs Lagged Prices |
Timeline |
The Torray Lagged Returns
When evaluating The Torray's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of The Torray mutual fund have on its future price. The Torray 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, The Torray autocorrelation shows the relationship between The Torray mutual fund current value and its past values and can show if there is a momentum factor associated with investing in The Torray Fund.
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 The Torray 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, The Torray's short interest history, or implied volatility extrapolated from The Torray options trading.
Currently Active Assets on Macroaxis
Check out The Torray Correlation, The Torray Volatility and The Torray Alpha and Beta module to complement your research on The Torray. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Complementary Tools for The Mutual Fund analysis
When running The Torray's price analysis, check to measure The Torray's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy The Torray is operating at the current time. Most of The Torray's value examination focuses on studying past and present price action to predict the probability of The Torray's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move The Torray's price. Additionally, you may evaluate how the addition of The Torray to your portfolios can decrease your overall portfolio volatility.
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Risk-Return Analysis View associations between returns expected from investment and the risk you assume |
The Torray 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.