Science Technology Financials

Science Technology Fund Summary

Science Technology competes with Aqr Managed, Pnc Emerging, Gmo Emerging, Franklin Emerging, and Dws Emerging. The fund normally invests at least 80 percent of net assets in the common stocks of companies that are expected to benefit from the development, advancement, and use of science andor technology. It may invest up to 50 percent of its total assets in foreign securities. The fund may invest up to 30 percent of its total assets in companies organized or headquartered in emerging market countries, but no more than 20 percent of its total assets may be invested in any one emerging market country. The fund is non-diversified.

Science Financial Ratios Relationships

Comparative valuation techniques use various fundamental indicators to help in determining Science Technology's current stock value. Our valuation model uses many indicators to compare Science Technology value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Science Technology competition to find correlations between indicators driving Science Technology's intrinsic value. More Info.Science Technology Fund is presently regarded as number one fund in price to earning among similar funds. It also is presently regarded as number one fund in price to book among similar funds fabricating about  0.16  of Price To Book per Price To Earning. The ratio of Price To Earning to Price To Book for Science Technology Fund is roughly  6.16 . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Science Technology's earnings, one of the primary drivers of an investment's value.

Along with financial statement analysis, the daily predictive indicators of Science Technology help investors to analyze its daily demand and supply, volume, patterns, and price swings to determine the real value of Science Technology Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Science Technology Fund based on widely used predictive technical indicators. In general, we focus on analyzing Science Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Science Technology's daily price indicators and compare them against related drivers.

Science Technology financial ratios help investors to determine whether Science 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 Science with respect to the benefits of owning Science Technology security.