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The Behavioral Investor
Wilfred Waters
27 episodes
3 days ago
We solve the mathematical problem of causing an enormous increase in one's bank account balance through human effort. The podcast therefore has two themes, mathematics and human behaviour. Together, behavioural investing. We take a first principles approach by summarising scientific studies and interviewing psychology and mathematics researchers. This will show us the first principles. We will then reason from these first principles to the best strategy to cause optimal human investing behaviour.
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Investing
Business
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All content for The Behavioral Investor is the property of Wilfred Waters and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
We solve the mathematical problem of causing an enormous increase in one's bank account balance through human effort. The podcast therefore has two themes, mathematics and human behaviour. Together, behavioural investing. We take a first principles approach by summarising scientific studies and interviewing psychology and mathematics researchers. This will show us the first principles. We will then reason from these first principles to the best strategy to cause optimal human investing behaviour.
Show more...
Investing
Business
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S3E1 🔥 Behavioral Design in Fintech with Francesca Johnston
The Behavioral Investor
37 minutes 19 seconds
4 years ago
S3E1 🔥 Behavioral Design in Fintech with Francesca Johnston

Francesca Johnston (https://twitter.com/FrancescaChess) is a behavioral science master’s student at the London School of Economics. We talked applications of behavioral design to fintech. 

The premise of latest book by Dr Grace Lawden from LSE was hyperbolic discounting: https://www.amazon.co.uk/Think-Big-Small-Steps-Future/dp/0241420164/ref=sr_1_1?dchild=1&keywords=grace+lordan&qid=1622051681&s=books&sr=1-1. This author states that the most effective behavior change means is medium term, not long term: 5 years.

Fintech BD exmples:

Episodic future thinking by NatWest: contrasting yesterday, today and tomorrow’s versions of the self:
https://www.moreaboutadvertising.com/2021/03/natwest-strikes-an-optimistic-note-with-thepartnerships-new-tomorrow-begins-today-line/. Aged images of your future self helps to reduce the effect of delayed/hyperbolic discounting: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3949005/.
Monzo: Designing good mental health into the way we bank:
https://www.designcouncil.org.uk/news-opinion/monzo-designing-good-mental-health-way-we-bank.
Plum: an app for your financial health and wellbeing:
https://withplum.com/.

Effects:

Prospect theory is composed of loss aversion, anchoring and the probability effect:
https://en.wikipedia.org/wiki/Prospect_theory. It is about how humans make decisions where there is a degree of uncertainty, such as investing.
Memories are built based on our biases, they can be distorted by: duration, neglect, forecasting bias, spotlight effect (
https://thedecisionlab.com/biases/spotlight-effect/).
Peak-end effect:
https://en.wikipedia.org/wiki/Peak%E2%80%93end_rule.
Loss aversion:
https://en.wikipedia.org/wiki/Loss_aversion.
Anchoring:
https://en.wikipedia.org/wiki/Anchoring_(cognitive_bias).
Losses are felt twice as much as equivalent gains:
https://milfordasset.com/insights/investors-feel-losses-twice-much-gains.
Lunch effect: judges just before lunch sentence more people:
https://www.nytimes.com/2011/08/21/magazine/do-you-suffer-from-decision-fatigue.html.

The Behavioral Investor
We solve the mathematical problem of causing an enormous increase in one's bank account balance through human effort. The podcast therefore has two themes, mathematics and human behaviour. Together, behavioural investing. We take a first principles approach by summarising scientific studies and interviewing psychology and mathematics researchers. This will show us the first principles. We will then reason from these first principles to the best strategy to cause optimal human investing behaviour.