Gabelli Dividend Income Fund Market Value

Symbol

Gabelli

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 Gabelli Dividend's 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 Gabelli Dividend.

Gabelli Dividend Upside/Downside Indicators

Gabelli Dividend Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Gabelli Dividend's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gabelli Dividend's standard deviation. In reality, there are many statistical measures that can use Gabelli Dividend historical prices to predict the future Gabelli Dividend's volatility.

Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gabelli Dividend'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.

Autocorrelation, which is Gabelli Dividend 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 Gabelli Dividend's fund expected returns. We can calculate the autocorrelation of Gabelli Dividend returns to help us make a trade decision. For example, suppose you find that Gabelli Dividend has exhibited high autocorrelation historically, and you observe that the fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Gabelli Dividend fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gabelli Dividend fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gabelli Dividend fund over time.

When evaluating Gabelli Dividend's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gabelli Dividend fund have on its future price. Gabelli Dividend 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, Gabelli Dividend autocorrelation shows the relationship between Gabelli Dividend fund current value and its past values and can show if there is a momentum factor associated with investing in Gabelli Dividend Income.

Gabelli Dividend financial ratios help investors to determine whether Gabelli 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 Gabelli with respect to the benefits of owning Gabelli Dividend security.