AnalyticalApp is primarily developed to maximize the social benefit in terms of statistical knowledge and its real application within the context of finance and investment.
Today, statistics and its applications are an integral part of our lives. Economists frequently use a variety of statistical information in making forecast about the future of the economy. Even, the use of statistical tools has become more common with the rise in data availability and computing power.
Possessing strong team of distinguished academics and practitioners enables us to provide the basic tools of quantitative techniques, that are essential in financial decision-making. Our IT team made special efforts to systemize the knowledge of quantitative analysis, developing easy-to-use tools that turn theories into practical and numbers into valid statistical conclusions.
Quantitative analysis is an important part of investment process. AnalyticalApp introduces web-based tools of financial calculus with overviews on the key concepts, examples, built-in real data, standard output with interpretations and interactive charts that reinforce the learning outcomes and exhibit real-world applicability. Our tools cover a wide range of topics, such as the time value of money, measures of dispersion, hypothesis testing, correlation, regression and time-series analysis.
The statistical tools provided in this website allow investment pros and students to analyze, compete, and succeed in today's global business and economic environment. The distinctive features of this website include the combination of Hypothesis testing and regression tools that help analysts to guide their investment recommendations and portfolio managers to solve practical tasks in measuring and controlling risk. Our website also serves as an excellent introduction to those investors who are just beginning to use quantitative techniques.
We hope you will find this website helpful in your efforts to grow your investment knowledge. In order to make this website more valuable to the user community, we welcome your comments, suggestions and feedback.
We would especially like to hear about any errors in the website, examples or software.
CEO & Co-founder, AnalyticalApp