Category Archives: Pdf

nntaleb: Connection with the Cavemen diet (the NYT article) www.fooledbyrandomness.com/whyIwalk.pdf

Shared by JohnH

From the new book? NNT Twitter posts link to 7 pg. chapter entitled “Why I Do All This Walking, or How Systems Become Fragile”

nntaleb: Connection with the Cavemen diet (the NYT article) www.fooledbyrandomness.com/whyIwalk.pdf

.

SSRN-The Risk Externalities of Too Big to Fail by Nassim Taleb, Charles Tapiero

Shared by JohnH

Links to download site.

The Risk Externalities of Too Big to Fail


Nassim Nicholas Taleb
NYU-Poly Institute

Charles S. Tapiero
NYU Poly – Department of Finance and Risk Engineering

November 1, 2009


Abstract:     
This paper examines the risk externalities stemming from the size of institutions. Assuming (conservatively) that a firm risk exposure is limited to its capital while its external (and random) losses are unbounded we establish a condition for a firm to be too big to fail. In particular, expected risk externalities’ losses conditions for positive first and second derivatives with respect to the firm capital are derived. Examples and analytical results are obtained based on firms’ random effects on their external losses (their risk externalities) and policy implications are drawn that assess both the effects of “too big to fail firms” and their regulation.

Keywords: banking crisis, risk management, too big to fail

The Six Mistakes Executives Make in Risk Management – Harvard Business Publishing

Shared by JohnH

They want $6.50 for the pdf.

by Nassim N. Taleb, Daniel G. Goldstein, Mark W. Spitznagel

6 pages. Publication date: Oct 01, 2009. Prod. #: R0910G-PDF-ENG

Taleb (who wrote the best-selling books Fooled by Randomness and The Black Swan) and his coauthors argue that conventional risk-management textbooks don’t prepare us for the real world. For instance, no forecasting model predicted the impact of the current economic crisis. Managers make six common mistakes when confronting risk: They try to anticipate extreme events, they study the past for guidance, they disregard advice about what not to do, they use standard deviations to measure risk, they fail to recognize that mathematical equivalents can be psychologically different, and they believe there’s no room for redundancy when it comes to efficiency. Companies that ignore Black Swan (low-probability, high-impact) events will go under. But instead of trying to anticipate them, managers should reduce their companies’ overall vulnerability.

Of all the management tasks that were bungled in the period leading up to the global recession of 2008–2009, none was bungled more egregiously than the management of risk. This HBR Spotlight attempts to untangle the reasons that major systemic failures occurred, and to pin down some lessons for leaders and managers in the future.

SSRN-Too Big to Fail, Hidden Risks, and the Fallacy of Large Institutions by Nassim Taleb

Shared by Woolwit

PDF available for download at link location.

Too Big to Fail, Hidden Risks, and the Fallacy of Large Institutions


Nassim Nicholas Taleb
NYU-Poly Institute; London Business School

May 2, 2009


Abstract:     
Large institutions are disproportionately more fragile to Black Swans.
This paper establishes the case for a fallacy of economies of scale in large aggregate institutions. The problem of rogue trading is taken as a case example of hidden risks where rogue traders and losses are considered independently and dependently of the institution’s size. Both independent and dependent loss and hidden positions are shown to lead to the paper’s conclusion, that size and economies of scale have commensurate risks that mitigate the advantages of size.

SSRN-Errors, Robustness, and the Fourth Quadrant by Nassim Taleb

Shared by Woolwit

Another paper written by NNT. PDF available for download at link location.

Errors, Robustness, and the Fourth Quadrant


Nassim Nicholas Taleb
NYU-Poly Institute; London Business School

February 14, 2009


Abstract:     
The paper presents evidence that econometric techniques based on variance- L2 norm are flawed -and do not replicate. The result is un-computability of role of tail events. The paper proposes a methodology to calibrate decisions to the degree (and computability) of forecast error. It classifies decision payoffs in two types: simple payoffs (true/false or binary) and complex (higher moments); and randomness into type-1 (thin tails) and type-2 (true fat tails) and shows the errors for the estimation of small probability payoffs for type 2 randomness. The Fourth Quadrant is where payoffs are complex with type-2 randomness. We propose solutions to mitigate the effect of the Fourth Quadrant based on the nature of complex systems.