
Boolean Algebra
Boolean algebra is a division of mathematics that deals with operations on logical values and incorporates binary variables. The Boolean variables are represented as binary numbers to represent truths: 1 = true and 0 = false. Elementary algebra deals with numerical operations whereas Boolean algebra deals with logistical operations. Boolean algebra is different from elementary algebra as the latter deals with numerical operations and the former deals with logical operations. Elementary algebra is expressed using basic mathematical functions, such as addition, subtraction, multiplication, and division, whereas Boolean algebra deals with conjunction, disjunction, and negation. Boolean algebra is a division of mathematics that deals with operations on logical values and incorporates binary variables.

What Is Boolean Algebra?
Boolean algebra is a division of mathematics that deals with operations on logical values and incorporates binary variables. Boolean algebra traces its origins to an 1854 book by mathematician George Boole.
The distinguishing factor of Boolean algebra is that it deals only with the study of binary variables. Most commonly Boolean variables are presented with the possible values of 1 ("true") or 0 ("false"). Variables can also have more complex interpretations, such as in set theory. Boolean algebra is also known as binary algebra.






Understanding Boolean Algebra
Boolean algebra is different from elementary algebra as the latter deals with numerical operations and the former deals with logical operations. Elementary algebra is expressed using basic mathematical functions, such as addition, subtraction, multiplication, and division, whereas Boolean algebra deals with conjunction, disjunction, and negation.
Boolean Algebra in Finance
Boolean algebra has applications in finance through mathematical modeling of market activities. For example, research into the pricing of stock options can be aided by the use of a binary tree to represent the range of possible outcomes in the underlying security. In this binomial options pricing model, where there are only two possible outcomes, the Boolean variable represents an increase or a decrease in the price of the security.
This type of modeling is necessary because, in American options, which can be exercised at any time, the path of a security's price is just as important as its final price. The binomial options pricing model requires the path of a security's price to be broken into a series of discrete time ranges.
As such, the binomial options pricing model allows an investor or trader to view the change in the asset price from one period to the next. This allows them to evaluate the option based on decisions made at different points. Because a U.S. based option can be exercised at any time, this allows a trader to determine whether they should exercise an option or hold onto it for a longer period. An analysis of the binomial tree would allow a trader to see in advance if an option should be exercised. If there is a positive value, then the option should be exercised, if the value is negative, then the trader should hold onto the position.
Related terms:
Binomial Tree
A binomial tree is a graphical representation of possible intrinsic values that an option may take at different nodes or time periods. read more
Binomial Option Pricing Model
A binomial option pricing model is an options valuation method that uses an iterative procedure and allows for the node specification in a set period. read more
Black-Scholes Model
The Black-Scholes model is a mathematical equation used for pricing options contracts and other derivatives, using time and other variables. read more
Discrete Distribution
A discrete distribution is a statistical distribution that shows the probabilities of outcomes with finite values. read more
Exercise
Exercise means to put into effect the right to buy or sell the underlying financial instrument specified in an options contract. read more
Fuzzy Logic
Fuzzy logic is a mathematical logic that solves problems with an open, imprecise data spectrum. Read how to obtain accurate conclusions with fuzzy logic. read more
Implied Volatility (IV)
Implied volatility (IV) is the market's forecast of a likely movement in a security's price. It is often used to determine trading strategies and to set prices for option contracts. read more
Lattice-Based Model
A lattice-based model is a model used to value derivatives; it uses a binomial tree to show different paths the price of the underlying asset may take. read more
Perpetual Option (XPO)
A perpetual option (XPO) is a non-standard financial option with no fixed maturity and no exercise limit. read more
Statistics
Statistics is the collection, description, analysis, and inference of conclusions from quantitative data. read more