Finance Train LogoFinance Train
Learning LibraryTemplatesBlog
Data Science Bundle
Finance TrainFinance Train
Learning LibraryTemplatesBlog
Data Science Bundle
Lesson 20 of 20

Permutation and Combination Formula

Combination Formula

This is a special case of multinomial formula where the types of labels k=2. This means that the n objects can be labelled only in two ways and n1 + n2 = n.

For example, suppose we had to label 4 of our 10 stocks as BUY and the remaining 6 as SELL.

So, n=10, n1 = 4 and n2 = 6.

Let’s say n1 = r = 4, in that case n2 can be rewritten as n2 = n – r or 10 – 4 = 6

We can rewrite our formula as follows:

pcf1
pcf1

This is called the combination formula and is read as n combination r, i.e., how many ways can we select a group of size r from a group of n objects.

pcf2
pcf2

The combination problems can be solved directly on your BA II Plus calculator using the nCr function.

The Combination formula has its application in binomial trees.

Permutation Formula

Note that in combinations, the order in which the objects are listed does not matter, that is A, B is the same as B, A. However, there could be a situation where the order matters. For example, from our group of 10 stocks, we want to select 4 stocks and rank them as No. 1, 2, 3, and 4. To solve this problem, we need to use the permutation formula which accounts for ordering of objects.

pcf3
pcf3

This is read as the number of permutations of r objects from total n objects.

In our example:

pcf4
pcf4

There are 5040 ways of selecting 4 objects from a group of 10 objects when ordering of objects is important.

Previous Lesson

Multiplication Rule of Counting

Back to ebook

Probability Concepts

20 lessons

Lessons

1
Probability - Basic Terminology
2
Two Defining Properties of Probability
3
Empirical, Subjective and Priori Probability
4
State the Probability of an Event as Odds
5
Unconditional and Conditional Probabilities
6
Multiplication, Addition and Total Probability Rules
7
Joint Probability of Two Events
8
Probability of Atleast One of the Events Occuring
9
Dependent Vs. Independent Events in Probability
10
Joint Probability of a Number of Independent Events
11
Unconditional Probability Using Total Probability Rule
12
Expected Value of Investments
13
Calculating Variance and Standard Deviation of Stock Returns
14
Conditional Expected Values
15
Calculating Covariance and Correlation
16
Expected Value of a Portfolio
17
Variance and Standard Deviation of a Portfolio
18
Bayes’ Theorem
19
Multiplication Rule of Counting
20
Permutation and Combination Formula

Quizzes

Probablity Concepts
Finance Train

Learn data science and AI skills for finance through practical courses and tutorials.

Learn

  • Learning Library
  • Course Directory
  • Blog

Resources

  • Templates & Downloads
  • Tools
  • Tables
  • Calculators

Company

  • About
  • Contact
  • Privacy
  • Terms

© 2026 Finance Train. All rights reserved.