Systematics of Advanced Capital Market Models based on Empirical Research
Gerhard Schroeder ()
International Finance from EconWPA
The complex blue prints of ODE and PDE based capital market models remain closed to systematic review. Particularly, when some authors of mathematical models can not or may not offer explicit solutions. Artificially generated 'cloned' courses can demonstrate the impact of various types of stochastic volatility in these cases. The Black and Scholes formula has the disadvantage that its key variable, the (future) volatility. is not known. In fact, what is known is that the volatility is volatile itself and the assumption of a stable volatility is violated. The socalled advanced models try to model the stochastic volatility. However, this still implies assumptions how a particular volatility may (or may not) develope until a given point of time. An analysis of key indexes shows stochastic properties difficult to cover in mathematical models yet being still interesting.
Keywords: Model Systematics; Black Scholes; fair value; option pricing; mispricing; artificially generated 'cloned' quotations; stochastic volalatility; mean reversion; test methods; testing capital market models; experimental economical research; ODE; PDE; hyperbolic; index particularities (search for similar items in EconPapers)
JEL-codes: F3 F4 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cfn and nep-fmk
Note: Type of Document - pdf; pages: 28. First Systematics of advanced Capital Market Models
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:wpa:wuwpif:0512003
Access Statistics for this paper
More papers in International Finance from EconWPA
Series data maintained by EconWPA ().