Hamlin High Dividend Fund Market Value
| HHDFX Fund | USD 31.68 0.01 0.03% |
| Symbol | Hamlin |
Hamlin High '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 Hamlin High'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 Hamlin High.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Hamlin High on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Hamlin High Dividend or generate 0.0% return on investment in Hamlin High over 30 days. Hamlin High is related to or competes with Kopernik Global, Huber Capital, Scharf Fund, and Clarkston Partners. Under normal circumstances, the fund will invest at least 80 percent of its net assets, plus any borrowings for investme... More
Hamlin High 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 Hamlin High'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 Hamlin High Dividend upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6321 | |||
| Information Ratio | 0.0011 | |||
| Maximum Drawdown | 2.59 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 1.0 |
Hamlin High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hamlin High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hamlin High's standard deviation. In reality, there are many statistical measures that can use Hamlin High historical prices to predict the future Hamlin High's volatility.| Risk Adjusted Performance | 0.0717 | |||
| Jensen Alpha | 0.0076 | |||
| Total Risk Alpha | 0.003 | |||
| Sortino Ratio | 0.001 | |||
| Treynor Ratio | 0.0672 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hamlin High'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.
Hamlin High Dividend Backtested Returns
We consider Hamlin High very steady. Hamlin High Dividend holds Efficiency (Sharpe) Ratio of 0.074, which attests that the entity had a 0.074% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Hamlin High Dividend, which you can use to evaluate the volatility of the entity. Please check out Hamlin High's Market Risk Adjusted Performance of 0.0772, risk adjusted performance of 0.0717, and Downside Deviation of 0.6321 to validate if the risk estimate we provide is consistent with the expected return of 0.0422%. The fund retains a Market Volatility (i.e., Beta) of 0.88, which attests to possible diversification benefits within a given portfolio. Hamlin High returns are very sensitive to returns on the market. As the market goes up or down, Hamlin High is expected to follow.
Auto-correlation | -0.04 |
Very weak reverse predictability
Hamlin High Dividend has very weak reverse predictability. Overlapping area represents the amount of predictability between Hamlin High time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Hamlin High Dividend price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current Hamlin High price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
Hamlin High Dividend lagged returns against current returns
Autocorrelation, which is Hamlin High 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 Hamlin High's mutual fund expected returns. We can calculate the autocorrelation of Hamlin High returns to help us make a trade decision. For example, suppose you find that Hamlin High 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 |
Hamlin High 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 Hamlin High mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hamlin High mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hamlin High mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Hamlin High Lagged Returns
When evaluating Hamlin High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hamlin High mutual fund have on its future price. Hamlin High 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, Hamlin High autocorrelation shows the relationship between Hamlin High mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Hamlin High Dividend.
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 Hamlin High 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, Hamlin High's short interest history, or implied volatility extrapolated from Hamlin High options trading.
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Try AI Portfolio ArchitectCheck out Hamlin High Correlation, Hamlin High Volatility and Hamlin High Alpha and Beta module to complement your research on Hamlin High. Note that the Hamlin High Dividend information on this page should be used as a complementary analysis to other Hamlin High'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 AI Investment Finder module to use AI to screen and filter profitable investment opportunities.
Hamlin High 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.