Wellington Shields All Cap Fund Market Value
WSACX Fund | USD 26.33 0.02 0.08% |
Symbol | Wellington |
Wellington Shields '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 Wellington Shields' 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 Wellington Shields.
08/31/2023 |
| 03/28/2024 |
If you would invest 0.00 in Wellington Shields on August 31, 2023 and sell it all today you would earn a total of 0.00 from holding Wellington Shields All Cap or generate 0.0% return on investment in Wellington Shields over 210 days. Wellington Shields is related to or competes with Fidelity Large, Vanguard 500, New World, T Rowe, Pimco Dynamic, Fidelity Advisor, and Davis New. The fund invests primarily in equity securities of all market capitalizations More
Wellington Shields 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 Wellington Shields' 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 Wellington Shields All Cap upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.682 | |||
Information Ratio | 0.0598 | |||
Maximum Drawdown | 3.04 | |||
Value At Risk | (0.97) | |||
Potential Upside | 1.26 |
Wellington Shields Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wellington Shields' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wellington Shields' standard deviation. In reality, there are many statistical measures that can use Wellington Shields historical prices to predict the future Wellington Shields' volatility.Risk Adjusted Performance | 0.1365 | |||
Jensen Alpha | 0.1803 | |||
Total Risk Alpha | 0.003 | |||
Sortino Ratio | 0.0648 | |||
Treynor Ratio | (1.77) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Wellington Shields' 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.
Wellington Shields Backtested Returns
We consider Wellington Shields very steady. Wellington Shields shows Sharpe Ratio of 0.24, which attests that the fund had a 0.24% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Wellington Shields, which you can use to evaluate the volatility of the fund. Please check out Wellington Shields' Market Risk Adjusted Performance of (1.76), downside deviation of 0.682, and Mean Deviation of 0.5899 to validate if the risk estimate we provide is consistent with the expected return of 0.18%. The entity maintains a market beta of -0.0953, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Wellington Shields are expected to decrease at a much lower rate. During the bear market, Wellington Shields is likely to outperform the market.
Auto-correlation | 0.42 |
Average predictability
Wellington Shields All Cap has average predictability. Overlapping area represents the amount of predictability between Wellington Shields time series from 31st of August 2023 to 14th of December 2023 and 14th of December 2023 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 Wellington Shields price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Wellington Shields price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.42 | |
Spearman Rank Test | 0.39 | |
Residual Average | 0.0 | |
Price Variance | 1.01 |
Wellington Shields lagged returns against current returns
Autocorrelation, which is Wellington Shields 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 Wellington Shields' mutual fund expected returns. We can calculate the autocorrelation of Wellington Shields returns to help us make a trade decision. For example, suppose you find that Wellington Shields 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 |
Wellington Shields 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 Wellington Shields mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wellington Shields mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wellington Shields mutual fund over time.
Current vs Lagged Prices |
Timeline |
Wellington Shields Lagged Returns
When evaluating Wellington Shields' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wellington Shields mutual fund have on its future price. Wellington Shields 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, Wellington Shields autocorrelation shows the relationship between Wellington Shields mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Wellington Shields All Cap.
Regressed Prices |
Timeline |
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Check out Wellington Shields Correlation, Wellington Shields Volatility and Wellington Shields Alpha and Beta module to complement your research on Wellington Shields. Note that the Wellington Shields information on this page should be used as a complementary analysis to other Wellington Shields' 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Complementary Tools for Wellington Mutual Fund analysis
When running Wellington Shields' price analysis, check to measure Wellington Shields' 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 Wellington Shields is operating at the current time. Most of Wellington Shields' value examination focuses on studying past and present price action to predict the probability of Wellington Shields' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wellington Shields' price. Additionally, you may evaluate how the addition of Wellington Shields to your portfolios can decrease your overall portfolio volatility.
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Wellington Shields 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.