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Non-arbitrage in financial markets: A Bayesian approach for verification
Author(s) -
Fernando Cerezetti,
Julio Michael Stern
Publication year - 2012
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4759592
Subject(s) - arbitrage , statistical arbitrage , arbitrage pricing theory , index arbitrage , financial market , econometrics , risk arbitrage , financial economics , economics , fixed income arbitrage , martingale (probability theory) , bayesian probability , efficient market hypothesis , fundamental theorem of asset pricing , computer science , capital asset pricing model , finance , mathematics , statistics , artificial intelligence , paleontology , horse , stock market , biology
The concept of non-arbitrage plays an essential role in finance theory. Under certain regularity conditions, the Fundamental Theorem of Asset Pricing states that, in non-arbitrage markets, prices of financial instruments are martingale processes. In this theoretical framework, the analysis of the statistical distributions of financial assets can assist in understanding how participants behave in the markets, and may or may not engender arbitrage conditions. Assuming an underlying Variance Gamma statistical model, this study aims to test, using the FBST - Full Bayesian Significance Test, if there is a relevant price difference between essentially the same financial asset traded at two distinct locations. Specifically, we investigate and compare the behavior of call options on the BOVESPA Index traded at (a) the Equities Segment and (b) the Derivatives Segment of BM&FBovespa. Our results seem to point out significant statistical differences. To what extent this evidence is actually the expression of perenni...

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