Financial Calculations (AQA Level 3 Mathematical Studies (Core Maths))

Revision Note

Jamie Wood

Written by: Jamie Wood

Reviewed by: Dan Finlay

Order of Operations (BIDMAS/BODMAS)

What is the order of operations (BODMAS/BIDMAS)?

  • If there is more than one operation in a calculation then they should be done in the following order

    • Brackets: ( )

      • Perform any calculation(s) inside brackets first

    • pOwers or Indices (sometimes Order):  2, 3, √ and similar

      • These include powers, roots, reciprocals

    • Divisions or Multiplications: × or ÷

      • If there are more than one of these then work them out left to right

      • Division includes fractions

    • Additions or Subtractions: + or -

      • If there are more than one of these then work them out left to right

  • The acronym BODMAS or BIDMAS can help you remember the order of operations

  • Modern calculators are programmed to process calculations in this order

    • The calculation can then be typed in to the calculator exactly how it is written on paper

    • Ensure you enter long or complicated calculations carefully, checking if your answer seems sensible

      • Type in extra brackets if needed, to help define which calculation to perform first

In what order should fractions and roots be dealt with?

  • Fractions mean division in calculations (BODMAS/BIDMAS)

  • There may be "invisible brackets" around the numerator and around the denominator

    • E.g.  fraction numerator 2 plus 5 over denominator 7 minus 2 end fraction means open parentheses 2 plus 5 close parentheses divided by open parentheses 7 minus 2 close parentheses

    • Instead of using brackets we extend the fraction line to show exactly what is on the top and what is on the bottom

  • Roots are pOwers (BODMAS/BIDMAS)

  • There may be "invisible brackets" under the root

    • E.g.  square root of 9 plus 16 end root means square root of open parentheses 9 plus 16 close parentheses end root

    • Instead of using brackets we extend the top line on the root symbol to show everything that is to be rooted

Worked Example

Work out (5 - 3) + 2 × 72.

Use BODMAS

First calculate anything inside Brackets, 5 - 3 = 2, so the question becomes      

2 + 2 × 72

Then any pOwers, 72 = 49                

2 + 2 × 49

Followed by any Multiplications and Divisions, 2 × 49 = 98

2 + 98

Finally any Additions and Subtractions, 2 + 98 = 100

(5 - 3) + 2 × 72 = 100

Bounds & Limits of Accuracy

What are bounds?

  • Bounds are the values that a rounded number can lie between

    • The smallest value that a number can take is the lower bound (LB)

    • The largest value that a number must be less than is the upper bound (UB)

  • The bounds for a number, x, can be written as LB less or equal than x less than UB

    • Note that the lower bound is included in the range of values x but the upper bound is not

How do we find the upper and lower bounds for a rounded number?

  • Identify the degree of accuracy to which the number has been rounded

    • E.g. 1 d.p., nearest 100, 2 s.f. etc.

  • Divide the degree of accuracy by 2

  • Add this value to the number to find the upper bound

    • E.g. If the number has been rounded to the nearest 10, add on 5

  • Subtract this value from the number to find the lower bound

    • E.g. If the number has been rounded to the nearest 2 d.p., subtract 0.005

  • The error interval is the range between the upper and lower bounds

    • Error interval: LB less or equal than x less than UB

How do we find the error interval for a truncated number?

  • You may be given a question where the number has been truncated

  • Truncating is "chopping off" a number rather than considering the value of the digits

    • E.g. The value 2.549 truncated to two decimal places would be 2.54 rather than 2.55

  • As an example of finding the error interval for a truncated number,

    • Consider the first 3 digits of an answer, a, to a calculation that have been written down as 2.95

      • The smallest value that the answer could have been is 2.95

      • The largest value that the number could have been up to (but not equal to) is 2.96 before it was truncated to 2.95

      • It could not have been 2.94... as that would truncate to 2.94

      • The error interval for the size of the number is 2.95 less or equal than a less than 2.96

  • The truncated value should be the same as the smallest value in the error interval

Worked Example

The profit a company makes, in millions of pounds, £ p space straight m, is given as p equals 3.6, correct to 1 decimal place.

Find the lower and upper bounds for p.

The degree of accuracy is 1 decimal place, or £0.1 m
Divide this value by 2

0.1 ÷ 2 = 0.05

The true value could be up to £0.05m above or below the given value

Upper bound:  3.6 + 0.05 = £3.65 m

Lower bound:  3.6 - 0.05 =  £3.55 m

Upper bound: £3.65 m
Lower bound: £3.55 m

We could also write this as an error interval of 3.55 less or equal than p less than 3.65, although this is not asked for in this question

Worked Example

The average mass of deliveries that a logistics company makes, m kg, is given as m equals 14, truncated to 2 significant figures.

Write down the error interval for m.

The degree of accuracy is 2 significant figures, which is 1 kg in this question
A mass of 13.999 kg would be truncated to 13 kg
The smallest possible mass would be 14 kg itself

Smallest possible mass = 14 kg

14.999 kg would be truncated to 14 kg
15 kg would be truncated to 15 kg
The largest possible mass is therefore 15 kg but it can not be equal to this value

Largest possible mass < 15 kg

Write down the error interval using inequality notation

14 less or equal than m less than 15

Approximations in Finance

  • Approximations are used in finance when an exact answer is not needed

  • It is often a balance between speed and accuracy of calculation

    • In some scenarios it is more useful to quickly arrive at an answer

      • E.g. When budgeting for a building repair, is it going to cost £300 or £3000 or £30 000?

    • In other scenarios it is more useful to spend a greater amount of time finding an accurate answer

      • E.g. Once the scale of the building repair has been decided, comparing quotes from contractors

  • The level of accuracy must be considered when making financial approximations

    • When creating a personal budget for monthly spending, rounding incomes and outgoings to the nearest £10 is probably appropriate

    • However when a global-scale company is estimating project costs, rounding figures to the nearest £1 m may be more appropriate

    • When banks pay interest to individuals or businesses, they may round interest down to the nearest penny

      • For an individual with tens of thousands of pounds, this may not make too much difference

      • For a business with potentially millions of pounds, it can have a larger impact

  • The type of rounding should also be considered, taking the context into account

    • For a business, estimated costs can be rounded upwards, whilst income is rounded down

      • This would provide a more conservative estimate of profit (income - costs) and a larger safety margin if something doesn't go to plan

  • Fermi estimation is often used to find approximations in financial contexts

Worked Example

Sarah is researching historical house prices for the street she lives on.

She discovers that a house on her street sold for £58 982 in 1990.

Sarah reads an article that suggests house prices in 2022 are worth 4 times their 1990 value.

Estimate the price of Sarah's house in 2022 to an appropriate level of accuracy, and explain why you have selected this level of accuracy.

Use the multiplier suggested by the article to find the price in 2022

£58 982 × 4 = £235 928

This answer is unlikely to be accurate to the nearest pound because:

"4 times" is stated to only 1 significant figure

The article is likely to be referring to national prices, rather than specific to her street or house

The £58 982 figure is for a different house on her street; houses on the street may vary in value

State the estimate to 1 significant figure

£200 000

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Jamie Wood

Author: Jamie Wood

Expertise: Maths

Jamie graduated in 2014 from the University of Bristol with a degree in Electronic and Communications Engineering. He has worked as a teacher for 8 years, in secondary schools and in further education; teaching GCSE and A Level. He is passionate about helping students fulfil their potential through easy-to-use resources and high-quality questions and solutions.

Dan Finlay

Author: Dan Finlay

Expertise: Maths Lead

Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.