If an investor searches for patterns in security returns by examining various techniques applied to a set of data, this is known as__________.

fundamental analysis
technical analysis
data mining
random-walk theory

The correct answer is: B. technical analysis.

Technical analysis is a method of analyzing financial markets that uses charts and other technical indicators to forecast future price movements. It is based on the belief that past market data can be used to predict future price movements. Technical analysts use a variety of tools and techniques to analyze market data, including charts, moving averages, and oscillators.

Fundamental analysis is a method of analyzing a company’s financial statements and other data to determine its intrinsic value. It is based on the belief that a company’s stock price should reflect its underlying value. Fundamental analysts use a variety of tools and techniques to analyze financial statements, including ratios, earnings per share, and price-to-earnings ratios.

Data mining is a process of extracting patterns from large data sets. It is used in a variety of fields, including finance, marketing, and healthcare. Data mining algorithms can be used to identify patterns in security returns, but they are not specific to the financial markets.

Random-walk theory is a theory that states that stock prices move randomly. It is based on the belief that there is no way to predict future stock prices based on past data. Random-walk theory is often used to support the argument that technical analysis is not a reliable way to predict future stock prices.

I hope this helps! Let me know if you have any other questions.

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