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Der schwarze Schwan : die Macht höchst unwahrscheinlicher Ereignisse
Taleb, Nassim Nicholas - 2008
Persistent link: https://www.econbiz.de/10009527318
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Fooled by randomness : the hidden role of chance in the markets and in life
Taleb, Nassim Nicholas - 2001
Persistent link: https://www.econbiz.de/10004674960
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Mild vs. wild randomness : focusing on those risks that matter
Mandelbrot, Benoît B.; Taleb, Nassim Nicholas - In: The known, the unknown, and the unknowable in financial …, (pp. 47-58). 2010
Persistent link: https://www.econbiz.de/10003991893
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Black swans and Knight's epistemological uncertainty : are these concepts also underlying behavioral and post-Walrasian theory?
Davidson, Paul - In: Journal of post-Keynesian economics : JPKE 32 (2010) 4, pp. 567-570
Persistent link: https://www.econbiz.de/10008652249
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Keynes's uncertainty is not about white or black swans
Terzi, Andrea - In: Journal of post-Keynesian economics : JPKE 32 (2010) 4, pp. 559-565
Persistent link: https://www.econbiz.de/10008652251
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Introduction: Decision making and planning under low levels of predictability
Makridakis, Spyros G.; Taleb, Nassim Nicholas - In: International journal of forecasting 25 (2009) 4, pp. 716-733
Persistent link: https://www.econbiz.de/10003921396
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Living in a world of low levels of predictability
Makridakis, Spyros G.; Taleb, Nassim Nicholas - In: International journal of forecasting 25 (2009) 4, pp. 840-844
Persistent link: https://www.econbiz.de/10003921464
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Option traders use (very) sophisticated heuristics, never the Black–Scholes–Merton formula
Haug, Espen Gaarder; Taleb, Nassim Nicholas - In: Journal of economic behavior & organization : JEBO 77 (2011) 2, pp. 97-106
Persistent link: https://www.econbiz.de/10009244114
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Antifragilität : Anleitung für eine Welt, die wir nicht verstehen
Taleb, Nassim Nicholas - 2013 - 1. Aufl.
Persistent link: https://www.econbiz.de/10009734457
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Response to commentaries on "The illusion of predictability : how regression statistics mislead experts"
Soyer, Emre; Hogarth, Robin M. - In: International journal of forecasting 28 (2012) 3, pp. 719-721
Persistent link: https://www.econbiz.de/10009659840