The Value Fund Market Value
| CFVLX Fund | USD 31.37 0.06 0.19% |
| Symbol | Value |
Value 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 Value 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 Value Fund.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Value Fund on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding The Value Fund or generate 0.0% return on investment in Value Fund over 30 days. Value Fund is related to or competes with Dodge Cox, American Funds, American Funds, American Mutual, and Vanguard Value. Under normal market conditions, the fund invests at least 65 percent of its total assets in stocks, primarily common sto... More
Value 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 Value 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 The Value Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8119 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 3.15 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 1.19 |
Value Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Value Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Value Fund's standard deviation. In reality, there are many statistical measures that can use Value Fund historical prices to predict the future Value Fund's volatility.| Risk Adjusted Performance | 0.0228 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0139 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Value 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.
Value Fund Backtested Returns
We consider Value Fund very steady. Value Fund owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0466, which indicates the fund had a 0.0466% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for The Value Fund, which you can use to evaluate the volatility of the fund. Please validate Value Fund's Coefficient Of Variation of 2835.52, risk adjusted performance of 0.0228, and Semi Deviation of 0.7059 to confirm if the risk estimate we provide is consistent with the expected return of 0.0307%. The entity has a beta of 0.98, which indicates possible diversification benefits within a given portfolio. Value Fund returns are very sensitive to returns on the market. As the market goes up or down, Value Fund is expected to follow.
Auto-correlation | -0.52 |
Good reverse predictability
The Value Fund has good reverse predictability. Overlapping area represents the amount of predictability between Value Fund time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Value Fund price movement. The serial correlation of -0.52 indicates that about 52.0% of current Value Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.52 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.29 |
Value Fund lagged returns against current returns
Autocorrelation, which is Value 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 Value Fund's mutual fund expected returns. We can calculate the autocorrelation of Value Fund returns to help us make a trade decision. For example, suppose you find that Value 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 |
Value 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 Value Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Value 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 Value Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Value Fund Lagged Returns
When evaluating Value Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Value Fund mutual fund have on its future price. Value 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, Value Fund autocorrelation shows the relationship between Value Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in The Value Fund.
Regressed Prices |
| Timeline |
Pair Trading with Value Fund
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Value Fund position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Value Fund will appreciate offsetting losses from the drop in the long position's value.Moving together with Value Mutual Fund
| 0.95 | CFAGX | Midcap Growth | PairCorr |
| 0.89 | CFGRX | Growth Fund | PairCorr |
The ability to find closely correlated positions to Value Fund could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Value Fund when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Value Fund - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling The Value Fund to buy it.
The correlation of Value Fund is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Value Fund moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Value Fund moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Value Fund can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Value Fund Correlation, Value Fund Volatility and Value Fund Alpha and Beta module to complement your research on Value Fund. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Value 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.