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Episode 10: Biases and Heuristics Part 3

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Manage episode 374280262 series 3485712
Content provided by Dr. Bryan Foltice. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Bryan Foltice or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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In this third installment of heuristics and biases, we conclude this theme by discussing some vital biases - exponential growth, amortization, self-selection, and survivorship biases.
00:00 Introduction
02:25 Compound Interest - Exponential Growth Bias (EGB)
07:46 Exponential Growth Math FV=PV*(1+r)^t
09:35 Implications of Exponential Growth Bias
11:21 Learning Present Value - Who Wants to Be a Millionaire PV=FV/(1+r)^t
16:09 Expense Fees Over Time - FV=PV*(1+r-e)^t
24:48 Amortization Bias - Tendency to Believe that We pay off loans equally over time.
27:02 Self-Selection Bias
29:34 Survivorship Bias
31:45 How Datasets Can be Manipulated
I hope you enjoy the content and learn all about the topic of Behavioral Finance. I've set up the first few podcasts as mini lectures of my Behavioral Finance course that I teach at Butler University each semester. The goal of this podcast is to provide a comprehensive look into the topic of Behavioral Finance - for free!
#behavioralfinance #psychologyofmoney #financialdecisions
Disclaimer: www.bryanfoltice.com/cv
References:
Fernandes et al: Financial Literacy Driving 0.1% of Financial Behavioral https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2333898
Foltice and Langer (2014) Decision Analysis paper on How We Learn about Exponential Growth Bias
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2419035

Support the Show.

Bryan Foltice Behavioral Finance Website - www.bryanfoltice.com
Instagram - www.instagram.com/bryanfoltice
Linkedin - https://www.linkedin.com/in/bryan-foltice-2578a116/
Disclaimer: www.bryanfoltice.com/cv

  continue reading

37 episodes

Artwork
iconShare
 
Manage episode 374280262 series 3485712
Content provided by Dr. Bryan Foltice. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Bryan Foltice or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Send us a Text Message.

In this third installment of heuristics and biases, we conclude this theme by discussing some vital biases - exponential growth, amortization, self-selection, and survivorship biases.
00:00 Introduction
02:25 Compound Interest - Exponential Growth Bias (EGB)
07:46 Exponential Growth Math FV=PV*(1+r)^t
09:35 Implications of Exponential Growth Bias
11:21 Learning Present Value - Who Wants to Be a Millionaire PV=FV/(1+r)^t
16:09 Expense Fees Over Time - FV=PV*(1+r-e)^t
24:48 Amortization Bias - Tendency to Believe that We pay off loans equally over time.
27:02 Self-Selection Bias
29:34 Survivorship Bias
31:45 How Datasets Can be Manipulated
I hope you enjoy the content and learn all about the topic of Behavioral Finance. I've set up the first few podcasts as mini lectures of my Behavioral Finance course that I teach at Butler University each semester. The goal of this podcast is to provide a comprehensive look into the topic of Behavioral Finance - for free!
#behavioralfinance #psychologyofmoney #financialdecisions
Disclaimer: www.bryanfoltice.com/cv
References:
Fernandes et al: Financial Literacy Driving 0.1% of Financial Behavioral https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2333898
Foltice and Langer (2014) Decision Analysis paper on How We Learn about Exponential Growth Bias
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2419035

Support the Show.

Bryan Foltice Behavioral Finance Website - www.bryanfoltice.com
Instagram - www.instagram.com/bryanfoltice
Linkedin - https://www.linkedin.com/in/bryan-foltice-2578a116/
Disclaimer: www.bryanfoltice.com/cv

  continue reading

37 episodes

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