We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    Flat editorial illustration: The article contrasts passive follower totals with a behavioral path from attention and trust to cli
    Creator Analytics Beyond Follower Count: Seven Metrics That Measure Audience Behavior
    11 Min Read
    Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
    How an Online MBA in Marketing Connects AI and Data Analytics
    11 Min Read
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Underestimating the tails
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Underestimating the tails
Data MiningPredictive Analytics

Underestimating the tails

DavidMSmith
DavidMSmith
3 Min Read
Underestimating the tails
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

Collective wisdom about the location of Ground Zero for the credit crisis seems to be coalescing around AIG’s Financial Products Unit (AIGFP), which basically invented the credit default swaps at the center of the whole mess. TPMmuckraker provides an excellent history of AIGFP: its inception, rise, and eventual downfall (taking AIG and the economy with it).

I want to focus on one small nugget from that history, under the heading “The Seed Of Ruin Is Planted”. It documents the very first credit default swap deal AIGFP made, in 1998:

JP Morgan approached AIG, proposing that, for a fee, AIG insure JP Morgan’s complex corporate debt, in case of default. According to computer models devised by Gary Gorton, a Yale Business Professor and consultant to the unit, there was a 99.85 percent chance that AIGFP would never have to pay out on these deals. Essentially, this would happen only if the economy went into a full-blown depression.

(Emphasis mine.) I’d guess that 0.15% under-estimated the risk that AIG would have to pay out for these deals, possibly by a significant margin (but hey, that’s easy to claim that with the hindsight we now have). That 99.85% figure is almost certainly an estimate of probability given that the assumptions of the model are upheld. Now, I don’t know anything about the underlying model per se, but I’m willing to bet that the data used to estimate it didn’t go back at least 70 years, to cover the period of the last full-blown (aka Great) depression. Credit Default Swaps are complex instruments, and it’s likely that much of the data needed to build and estimate the model simply doesn’t exist with more than a 10-20 year history at best. So it may be fair to say that there’s a 0.15% chance of failure if a series of fairly unusual things happen, and by “unusual” I mean in the context of the last 20 years. But if a full-blown depression does occur, the model is no longer valid, because it’s never seen data relevant to a depression occurring. In that case, when it comes to estimates of risk and probability, all bets are off. 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article contrasts passive follower totals with a behavioral path from attention and trust to cli
Creator Analytics Beyond Follower Count: Seven Metrics That Measure Audience Behavior
Analytics Exclusive
Flat editorial illustration: The article surveys AI finance apps that analyze and explain financial information, sometimes take a
10 Financial Apps Empowered by AI: Assistants and Agents
Artificial Intelligence Exclusive Fintech
Flat editorial illustration: The article links specialist ecommerce SEO agency evaluation to joined-up organic and paid search da
Choosing an Ecommerce SEO Agency When Search Data Drives the Decision
Big Data Exclusive
Flat editorial illustration: The article’s core relationship is that restoring a refrigeration system does not establish trustwor
After the Cyberattack, Can You Trust the Machine?
Artificial Intelligence News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

How To Create Business Value with Analytics
AnalyticsBest PracticesBusiness IntelligenceCulture/LeadershipDecision ManagementMarket ResearchPolicy and GovernancePredictive AnalyticsRisk Management

How To Create Business Value with Analytics

4 Min Read
The Role of Decision Requirements in the Analytical Life Cycle
AnalyticsBest PracticesBig DataBusiness IntelligenceData ManagementData MiningDecision ManagementModelingPredictive Analytics

The Role of Decision Requirements in the Analytical Life Cycle

4 Min Read
Demystifying Self-Service Data and the Future of Business Intelligence
Big DataData Mining

Demystifying Self-Service Data and the Future of Business Intelligence

6 Min Read
Forecasting Is Harder Than It Looks
Predictive Analytics

Forecasting Is Harder Than It Looks

2 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?