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Lesson 5 of 20

Unconditional and Conditional Probabilities

Let’s say you are asked the following question:

What is the probability of your portfolio earning a return greater than 10%?

This kind of probability is an unconditional probability as the probability is not dependent on the occurrence of any other event. The event, A, is that the portfolio will earn a return greater than 10%. The probability of such an event will be specified as P(A). The calculation is quite simple. The numerator is the sum of probabilities of all returns being above 10%. Assume this is 0.60. The denominator is 1, the sum of probabilities of all possible returns. The probability P(A) = 0.60/1 = 0.60.

Now, let’s ask another related question:

What is the probability of your portfolio earning a return greater than 10% given that the returns are never below 5%?

Notice that we have added a new condition - given that the returns are never below 5%. Now the probability of portfolio earning returns greater than 10% is not unconditional. It is conditional on another event, B, that is, the returns are never below 5%. Such a probability is called conditional probability, and is expresses as P(A|B), the probability of A given B.

Our calculation will now change.

The numerator will still be the same: the sum of probabilities of all returns being above 10%. We assumed this to be 0.60.

The denominator will now consider Event B as well - the sum of probabilities of all returns being 5% or more. Assume this is 0.80.

The conditional probability will be calculated as P(A|B) = 0.60/0/80 = 0.75.

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State the Probability of an Event as Odds

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Multiplication, Addition and Total Probability Rules

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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
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