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PROBABILITY ANALYSIS: INTERESTING INFORMATION COMPILED BY ER. AVINASH KULKARNI

Saturday Brain Storming Thought (175) 10/06/2023

PROBABILITY ANALYSIS

In financial modelling and investment appraisal, Probability Analysis is a technique used by analysts to capture the effects of different future occurences and events on the financial forecast of a business such as accidental and business losses

Probability Analysis

1) calculate the values of possible outcome

2) their probability distribution

3) value of worst possible outcome and it’s probability

4) probability than an investment will generate a positive NPV

5) Standard deviation of possible outcome

6) expected value of NPV

7) lessons the impact and deal with risk

Meaning of Probability

Probability is the likelihood of an event or more than one event occuring

Probability represents the possibility of acquiring a certain outcome and can be calculated using a simple formula

Probability Formula

Probability = (Number of favorable outcomes) / (total number of outcomes)

P(A) = f / N

P(A) = probability of (event A) occuring

f = number of ways an event can occur (frequency)

N = total number of outcomes possible

Types of Probability

1) Classical Probability – it describes an event where there are equal odds

2) Empirical Probability – it is based on historical data and uses data from a sample data set to determine the probability of an outcome occuring again

3) Subjective Probability – it takes into account no calculations, based on own experience

4) Axiomatic Probability – it involves certain rules or axioms

a) probability of an event is greater or equal to zero

b) probability that at least one of the outcomes will occur at 1

c) events A and B are mutually exclusive

General Probability Rules

1) probability of an impossible event is zero

2) sum of all the probabilities for all possible events is equal to one

3) P (A c) = 1 – P(A)

4) probability that either one or both events occur

5) probability of both events occur

6) conditional probability

Range of Probability

0 <= P (A) <= 1

It is not possible to have s probability less than zero or greater than one

The probability of the outcome of an experiment is never negative

Limitations of Probability

1) it can not handle events with an infinite number of possible outcomes

2) it akso can not handle events where each outcome is not equally – likely

Objective Probability

It is the likelihood of occurrence of an event that is based on historical data

Probability used in management

Probability helps ch companies estimate expected returns from an investment decision based on

Market response
Consumption trends
Market prices
Consumer feedback
Other external forces

Probabilistic approaches in valuation

In probabilistic approaches, we deal with uncertainty more explicitly by

1) Sensitivity Analysis – asking what if questions about key inputs and looking at the impact on value

2) Scenario Analysis – looking at the cash flows/ value under different scenarios for the future

3) Simulations analysis – using probability distributions for key inputs, rather than expected values, and computing value as a distribution as well

Fine Tuning what if analysis

1) don’t double count risk

2) less is more

3) a picture is worth a thousand numbers

Compiled by

Compiled by:

Er. Avinash Kulkarni
9822011051

Chartered Engineer, Govt Regd Valuer, IBBI Regd Valuer

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