PREDICTABILITY OF STOCK MARKET CRASHES: A STATISTICAL APPROACH
Daniel Traian Pele ()
Theoretical and Applied Economics, 2011, vol. 5(558)(supplement), issue 5(558)(supplement), 647-654
Abstract:
The last decades of the last century were marked by a prodigious development of capital markets phenomena modeling. Mathematical modeling, which proved its utility in the study of natural science, was adapted to the economic sphere in order to increase the degree of accuracy of the results and, particularly, predictions. The recent economic and financial crises once again show that the predictions provided by mathematical models were successful especially regarding the past and less regarding future evolutions. This study presents a statistical approach of the predictability of stock market crashes, with applications on the Romanian capital market.
Keywords: efficient market hypothesis; fractal market hypothesis; stable distribution; predictability; stock market crash. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://store.ectap.ro/suplimente/Conferinta%20FABBV%202010_engleza.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:agr:journl:v:5(558)(supplement):y:2011:i:5(558)(supplement):p:647-654
Access Statistics for this article
Theoretical and Applied Economics is currently edited by Mircea Dinu
More articles in Theoretical and Applied Economics from Asociatia Generala a Economistilor din Romania / Editura Economica Contact information at EDIRC.
Bibliographic data for series maintained by Mircea Dinu ().