Binary option in the context of "European Securities and Markets Authority"

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⭐ Core Definition: Binary option

A binary option is a financial exotic option in which the payoff is either some fixed monetary amount or nothing at all. The two main types of binary options are the cash-or-nothing binary option and the asset-or-nothing binary option. The former pays some fixed amount of cash if the option expires in-the-money while the latter pays the value of the underlying security. They are also called all-or-nothing options, digital options (more common in forex/interest rate markets), and fixed return options (FROs) (on the NYSE American).

While binary options may be used in theoretical asset pricing, they are prone to fraud in their applications and hence banned by regulators in many jurisdictions as a form of gambling. Many binary option outlets have been exposed as fraudulent. The U.S. FBI is investigating binary option scams throughout the world, and the Israeli police have tied the industry to criminal syndicates. The European Securities and Markets Authority (ESMA) has banned retail binary options trading. Australian Securities & Investments Commission (ASIC) considers binary options as a "high-risk" and "unpredictable" investment option, and finally also banned binary options sale to retail investors in 2021.

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Binary option in the context of Variable and attribute (research)

In science and research, an attribute is a quality of an object (person, thing, etc.). Attributes are closely related to variables. A variable is a logical set of attributes. Variables can "vary" – for example, be high or low. How high, or how low, is determined by the value of the attribute (and in fact, an attribute could be just the word "low" or "high"). (For example see: Binary option)

While an attribute is often intuitive, the variable is the operationalized way in which the attribute is represented for further data processing. In data processing data are often represented by a combination of items (objects organized in rows), and multiple variables (organized in columns).

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