Templeton Emerging Markets Fund Market Value

Symbol

Templeton

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 Templeton Emerging'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 Templeton Emerging.

Templeton Emerging Upside/Downside Indicators

Templeton Emerging Market Risk Indicators

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

Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Templeton Emerging'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 Templeton Emerging 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 Templeton Emerging's fund expected returns. We can calculate the autocorrelation of Templeton Emerging returns to help us make a trade decision. For example, suppose you find that Templeton Emerging 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 Templeton Emerging fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Templeton Emerging fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Templeton Emerging fund over time.

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

Templeton Emerging financial ratios help investors to determine whether Templeton 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 Templeton with respect to the benefits of owning Templeton Emerging security.