What is the difference between technical analysis and fundamental analysis?

Technical analysis looks at the price movement of a security and uses this data to attempt to predict future price movements. Fundamental analysis instead looks at economic and financial factors that influence a business.

What is an example of quantitative analysis?

Examples of quantitative analysis include a company’s financial data and marketing returns with statistical data on demographics. Financial Data: as already mentioned companies have a plethora of financial data and reports available to study. These include the cost of goods sold (COGS), gross profits and net profits.

What is the difference between qualitative analysis and quantitative analysis?

Understanding the Difference Between Quantitative and Qualitative Analytics. Generally speaking, quantitative analysis involves looking at the hard data, the actual numbers. Qualitative analysis is less tangible. It concerns subjective characteristics and opinions – things that cannot be expressed as a number.

What is EPS and PE ratio?

Key Takeaways. The basic definition of a P/E ratio is stock price divided by earnings per share (EPS). EPS is the bottom-line measure of a company’s profitability and it’s basically defined as net income divided by the number of outstanding shares. Earnings yield is defined as EPS divided by the stock price (E/P).

What is the difference between fundamental and technical stock analysis?

Fundamental analysis attempts to calculate the intrinsic value of a stock using data such as revenue, expenses, growth prospects and the competitive landscape, while technical analysis uses past market activity and stock price trends to predict activity in the future.

What is Fibonacci technical analysis?

In finance, Fibonacci retracement is a method of technical analysis for determining support and resistance levels.

What are quantitative techniques?

Quantitative techniques include methods that focus on objective measurements and analyzing numbers in order to draw conclusions about research subjects.

What are quantitative analysis tools?

Different types of quantitative analysis tools include graphs, linear regressions and hypothesis testing. These tools provide analysts with statistical methods of organizing and examining data. These tools are useful for analyzing survey results, historical data or financial numbers.