Kensington Dynamic Growth Fund Market Value
| KAGCX Fund | USD 11.08 0.02 0.18% |
| Symbol | Kensington |
Kensington 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 Kensington 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 Kensington Dynamic.
| 07/05/2023 |
| 11/26/2024 |
If you would invest 0.00 in Kensington Dynamic on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding Kensington Dynamic Growth or generate 0.0% return on investment in Kensington Dynamic over 510 days. Kensington Dynamic is related to or competes with Kensington Defender, Kensington Active, Kensington Active, Kensington Active, and Kensington Dynamic. The fund will gain exposure to equity securities primarily by investing in one or more of the following investment types... More
Kensington 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 Kensington 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 Kensington Dynamic Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.07 | |||
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 4.41 | |||
| Value At Risk | (1.81) | |||
| Potential Upside | 1.18 |
Kensington Dynamic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kensington Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kensington Dynamic's standard deviation. In reality, there are many statistical measures that can use Kensington Dynamic historical prices to predict the future Kensington Dynamic's volatility.| Risk Adjusted Performance | 0.0041 | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kensington 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.
Kensington Dynamic Growth Backtested Returns
At this stage we consider Kensington Mutual Fund to be very steady. Kensington Dynamic Growth has Sharpe Ratio of 0.0057, which conveys that the entity had a 0.0057% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Kensington Dynamic, which you can use to evaluate the volatility of the fund. Please verify Kensington Dynamic's Downside Deviation of 1.07, risk adjusted performance of 0.0041, and Mean Deviation of 0.4418 to check out if the risk estimate we provide is consistent with the expected return of 0.0044%. The fund secures a Beta (Market Risk) of 0.71, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Kensington Dynamic's returns are expected to increase less than the market. However, during the bear market, the loss of holding Kensington Dynamic is expected to be smaller as well.
Auto-correlation | -0.68 |
Very good reverse predictability
Kensington Dynamic Growth has very good reverse predictability. Overlapping area represents the amount of predictability between Kensington Dynamic time series from 5th of July 2023 to 16th of March 2024 and 16th of March 2024 to 26th 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 Kensington Dynamic Growth price movement. The serial correlation of -0.68 indicates that around 68.0% of current Kensington Dynamic price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.35 |
Kensington Dynamic Growth lagged returns against current returns
Autocorrelation, which is Kensington 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 Kensington Dynamic's mutual fund expected returns. We can calculate the autocorrelation of Kensington Dynamic returns to help us make a trade decision. For example, suppose you find that Kensington 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 |
Kensington 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 Kensington Dynamic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kensington 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 Kensington Dynamic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Kensington Dynamic Lagged Returns
When evaluating Kensington Dynamic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kensington Dynamic mutual fund have on its future price. Kensington 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, Kensington Dynamic autocorrelation shows the relationship between Kensington Dynamic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Kensington Dynamic Growth.
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 Kensington Mutual Fund
Kensington Dynamic financial ratios help investors to determine whether Kensington 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 Kensington with respect to the benefits of owning Kensington Dynamic security.
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