Vy Columbia Small Fund Market Value
| VYRDX Fund | USD 17.66 0.04 0.23% |
| Symbol | VYRDX |
Vy Columbia '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 Vy Columbia'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 Vy Columbia.
| 04/08/2024 |
| 05/08/2024 |
If you would invest 0.00 in Vy Columbia on April 8, 2024 and sell it all today you would earn a total of 0.00 from holding Vy Columbia Small or generate 0.0% return on investment in Vy Columbia over 30 days. Vy Columbia is related to or competes with Vanguard Mid, Vanguard Value, Vanguard Small, Vanguard Emerging, and Vanguard Small. Under normal market conditions, the Portfolio invests at least 80 percent of its net assets in equity securities of companies that have market capitalizations in the range of the companies within the Russell 2000 Value Index , at the time of purchase, that the sub-adviser believes are undervalued and have the potential for long-term growth. More
Vy Columbia 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 Vy Columbia'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 Vy Columbia Small upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.17 | |||
| Information Ratio | 0.035 | |||
| Maximum Drawdown | 4.79 | |||
| Value At Risk | (1.62) | |||
| Potential Upside | 1.84 |
Vy Columbia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vy Columbia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vy Columbia's standard deviation. In reality, there are many statistical measures that can use Vy Columbia historical prices to predict the future Vy Columbia's volatility.| Risk Adjusted Performance | 0.0702 | |||
| Jensen Alpha | 0.0055 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0317 | |||
| Treynor Ratio | 0.0689 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vy Columbia'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.
Vy Columbia Small Backtested Returns
We consider Vy Columbia very steady. Vy Columbia Small retains Efficiency (Sharpe Ratio) of 0.11, which indicates the fund had a 0.11% return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for Vy Columbia, which you can use to evaluate the volatility of the fund. Please validate Vy Columbia's Risk Adjusted Performance of 0.0702, downside deviation of 1.17, and Mean Deviation of 0.8238 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. The entity owns a Beta (Systematic Risk) of 1.49, 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, Vy Columbia will likely underperform.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Vy Columbia Small has insignificant reverse predictability. Overlapping area represents the amount of predictability between Vy Columbia time series from 8th of April 2024 to 23rd of April 2024 and 23rd of April 2024 to 8th of May 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 Vy Columbia Small price movement. The serial correlation of -0.18 indicates that over 18.0% of current Vy Columbia price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Vy Columbia Small lagged returns against current returns
Autocorrelation, which is Vy Columbia 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 Vy Columbia's mutual fund expected returns. We can calculate the autocorrelation of Vy Columbia returns to help us make a trade decision. For example, suppose you find that Vy Columbia 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 |
Vy Columbia 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 Vy Columbia mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vy Columbia mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vy Columbia mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Vy Columbia Lagged Returns
When evaluating Vy Columbia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vy Columbia mutual fund have on its future price. Vy Columbia 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, Vy Columbia autocorrelation shows the relationship between Vy Columbia mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Vy Columbia Small.
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 Vy Columbia 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, Vy Columbia's short interest history, or implied volatility extrapolated from Vy Columbia options trading.
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.Check out Vy Columbia Correlation, Vy Columbia Volatility and Vy Columbia Alpha and Beta module to complement your research on Vy Columbia. Note that the Vy Columbia Small information on this page should be used as a complementary analysis to other Vy Columbia's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Vy Columbia 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.