Alpine Dynamic Dividend Fund Market Value
| ADAVX Fund | USD 4.39 0.03 0.69% |
| Symbol | Alpine |
Alpine Dynamic '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 Alpine Dynamic'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 Alpine Dynamic.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Alpine Dynamic on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Alpine Dynamic Dividend or generate 0.0% return on investment in Alpine Dynamic over 30 days. Alpine Dynamic is related to or competes with Dodge Cox, Us Vector, Cutler Equity, Rbc Ultra-short, Dreyfus/standish, Ultra-short Fixed, and Fisher Investments. Under normal circumstances, the fund invests at least 80 percent of its net assets in the equity securities of certain domestic and foreign corporations that pay dividend income that the advisor believes are undervalued relative to the market and to the securities historic valuations. More
Alpine Dynamic 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 Alpine Dynamic'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 Alpine Dynamic Dividend upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 2.72 | |||
| Value At Risk | (1.15) | |||
| Potential Upside | 0.6961 |
Alpine Dynamic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpine Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpine Dynamic's standard deviation. In reality, there are many statistical measures that can use Alpine Dynamic historical prices to predict the future Alpine Dynamic's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | 0.838 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alpine Dynamic'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.
Alpine Dynamic Dividend Backtested Returns
Alpine Dynamic Dividend secures Sharpe Ratio (or Efficiency) of -0.026, which signifies that the fund had a -0.026% return per unit of risk over the last 3 months. Alpine Dynamic Dividend exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alpine Dynamic's Standard Deviation of 0.6187, mean deviation of 0.4876, and Risk Adjusted Performance of (0.01) to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of -0.0179, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Alpine Dynamic are expected to decrease at a much lower rate. During the bear market, Alpine Dynamic is likely to outperform the market.
Auto-correlation | 0.60 |
Good predictability
Alpine Dynamic Dividend has good predictability. Overlapping area represents the amount of predictability between Alpine Dynamic time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 Alpine Dynamic Dividend price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Alpine Dynamic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Alpine Dynamic Dividend lagged returns against current returns
Autocorrelation, which is Alpine Dynamic 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 Alpine Dynamic's mutual fund expected returns. We can calculate the autocorrelation of Alpine Dynamic returns to help us make a trade decision. For example, suppose you find that Alpine Dynamic 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 |
Alpine Dynamic 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 Alpine Dynamic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpine Dynamic mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpine Dynamic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Alpine Dynamic Lagged Returns
When evaluating Alpine Dynamic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpine Dynamic mutual fund have on its future price. Alpine Dynamic 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, Alpine Dynamic autocorrelation shows the relationship between Alpine Dynamic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Alpine Dynamic Dividend.
Regressed Prices |
| Timeline |
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.Other Information on Investing in Alpine Mutual Fund
Alpine Dynamic financial ratios help investors to determine whether Alpine Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Alpine with respect to the benefits of owning Alpine Dynamic security.
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