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Quants

Large amounts of data offer almost unlimited potential for new product development. However, variable quality data set variables are a challenge for success. The quality of your work depends on the quality of the data on which it is based, tested and refined. We have focused our business on providing fast, accurate and high-quality data compiled to provide maximum value.

In addition, Bloomberg offers analytics that are very useful for improving data quality, quantitative analysis, valuing simple and complex financial products, valuation of derivative portfolio risks, and more - so you can quickly generate ideas and better execution.

A quantitative analyst is a person who specializes in the application of mathematical and statistical methods to financial and risk management questions. This profession is similar to techno-mathematics in other industries.

Quantitative analysis (QA) is a technique that attempts to understand behavior using mathematical and statistical models, measurements, and investigations. Quantitative analysts want to represent reality in terms of numerical value. Quantitative analysis is used for various reasons, e.g. For example, to measure, evaluate, or evaluate financial instruments and to predict real events, e.g. B. Changes in a country's gross domestic product (GDP). Other useful data Data collection and management Market analysis and analysis Business and industry analysis Pricing and modeling Leadership insights Thinking Other useful data

Large amounts of data offer almost unlimited potential for new product development. However, variable quality data set variables are a challenge for success. The quality of your work depends on the quality of the data on which it is based, tested and refined. We have focused our business on providing fast, accurate and high-quality data compiled to provide maximum value.

In addition, Bloomberg offers analytics that are very useful for improving data quality, quantitative analysis, valuing simple and complex financial products, valuation of derivative portfolio risks, and more - so you can quickly generate ideas and better execution.

Data collection and management A good idea requires good data. The development of sophisticated algorithms that successfully control alpha depends on reliable, clean and up-to-date reliable data flow. Get fast, accurate, price, market, regulatory and reference data from Bloomberg. We provide high quality OTC data, valuable instruments and unregistered companies. We provide feedback based on activities and tool sets and a complete analytic environment to help make the data more difficult and better. The primary goal of quantitative analysts to assign numerical values to variables is to map reality mathematically. ... Everything is included in quantitative analysis - from simple financial figures such as earnings per share to complex important figures such as discounted cash flow or optional prices.