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Banking Essentials - Part I

This pathway will walk us through the basics of banks, starting with some of the different types and their main functions, then starting to look at the regulation faced by the banks, both before and after the Global Financial Crisis.

Greenwashing

Greenwashing is the act of distributing false information about something being more environmentally friendly than it actually is.

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More featured content

Tackling the Cost of Living Crisis

In this video, Max discusses the cost-of-living crisis currently enveloping the UK. He examines its impact on households as well as the overall economy.

CSR and Sustainability in Financial Services

In the first video of this two-part video series, Elisa introduces us to sustainability. She begins by looking at the difference between sustainability and corporate social responsibility, two terms that can be easily confused.

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Cumulative Distribution Function

Cumulative Distribution Function

Abdulla Javeri

30 years: Financial markets trader

In the previous video of the series, Abdulla introduced the concept of probability distributions. In this video, Abdulla will expand and explore the cumulative distribution function. He explains how to calculate it and how to use it by building on the example featured in the video on the basics of probability.

In the previous video of the series, Abdulla introduced the concept of probability distributions. In this video, Abdulla will expand and explore the cumulative distribution function. He explains how to calculate it and how to use it by building on the example featured in the video on the basics of probability.

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Cumulative Distribution Function

4 mins 36 secs

Key learning objectives:

  • Explain the basics of cumulative distribution function

  • Understand how it is visually represented

Overview:

The cumulative distribution function shows the area under the curve by adding all the individual probabilities in an experiment.

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Summary

What is the Cumulative Distribution Function?

The cumulative distribution function integrates the area under the curve. Integration in this respect is just a fancy way of saying, adding up the area under the curve, adding the individual probabilities. The cumulative distribution involves adding the probabilities of each outcome starting from the left-hand side of the x axis moving to the right. It gives the total area under the curve to the left of any given point that we choose. Therefore, the area to the right of that point will be 100% minus the area to the left. It climbs up and eventually tapers off at 100%.

What are the uses of the CDF?

It allows us to answer questions such as what’s the probability of an outcome being x, less than x or greater than y, or, somewhere in between x and y etc.

How do the probabilities differ for continuous variables?

For continuous variables, where these intervals are infinitely small, each individual probability will be very close to zero and the total area under the curve will be very close to 100%.

How is this visually represented?

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Abdulla Javeri

Abdulla Javeri

Abdulla’s career in the financial markets started in 1990 when he entered the trading floor of the London International Financial Futures Exchange, LIFFE, and qualified as a pit trader in equity and equity index options. In 1996, Abdulla became a trainer for regulatory qualifications and then for non-exam courses, primarily covering all major financial products.

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