International audienceWe obtain the maximum entropy distribution for an asset from call and digital option prices. A rigorous mathematical proof of its existence and exponential form is given, which can also be applied to legitimise a formal derivation by Buchen and Kelly (J. Financ. Quant. Anal. 31:143–159, 1996). We give a simple and robust algorithm for our method and compare our results to theirs. We present numerical results which show that our approach implies very realistic volatility surfaces even when calibrating only to at-the-money options. Finally, we apply our approach to options on the S&P 500 index.<br/
179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation studies den...
summary In this note we present a simple method to include the no-arbitrage condition into the deriv...
Uncertainty is one of the most important concept in financial mathematics applications. In this pape...
This article revisits the maximum entropy algorithm in the context of recovering the probability dis...
markdownabstractThis paper investigates the maximum entropy approach on estimating implied volatilit...
We investigate the position of the Buchen-Kelly density in a family of entropy maximising densities ...
Presented at International Conference on Modern Management based on Big Data Program An alternative ...
Entropy based ideas find wide-ranging applications in finance for calibrating models of portfolio ri...
Recently we used the maximum entropy principle for finding the price density in a multi agent insura...
In the present paper, there are presented, theoretical and applicative, two issues: the evaluation o...
Portfolio selection in the financial literature has essentially been analyzed under two central assu...
We study the problem of finding probability densities that match given European call option prices. ...
Option pricing has been a popular topic in the financial industry. If there were an effective way t...
Abstract. The aim of this paper is to determine whether forward-looking option- implied returns fore...
This paper studies the pricing problem of American options using a nonparametric entropy approach. F...
179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation studies den...
summary In this note we present a simple method to include the no-arbitrage condition into the deriv...
Uncertainty is one of the most important concept in financial mathematics applications. In this pape...
This article revisits the maximum entropy algorithm in the context of recovering the probability dis...
markdownabstractThis paper investigates the maximum entropy approach on estimating implied volatilit...
We investigate the position of the Buchen-Kelly density in a family of entropy maximising densities ...
Presented at International Conference on Modern Management based on Big Data Program An alternative ...
Entropy based ideas find wide-ranging applications in finance for calibrating models of portfolio ri...
Recently we used the maximum entropy principle for finding the price density in a multi agent insura...
In the present paper, there are presented, theoretical and applicative, two issues: the evaluation o...
Portfolio selection in the financial literature has essentially been analyzed under two central assu...
We study the problem of finding probability densities that match given European call option prices. ...
Option pricing has been a popular topic in the financial industry. If there were an effective way t...
Abstract. The aim of this paper is to determine whether forward-looking option- implied returns fore...
This paper studies the pricing problem of American options using a nonparametric entropy approach. F...
179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation studies den...
summary In this note we present a simple method to include the no-arbitrage condition into the deriv...
Uncertainty is one of the most important concept in financial mathematics applications. In this pape...