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After a brief review of option pricing theory, we introduce various methods proposed for extracting the statistical information implicit in options prices. We discuss the advantages and drawbacks of each method, the interpretation of their…

Condensed Matter · Physics 2007-05-23 Rama Cont

The incorporation of a dividend yield in the classical option pricing model of Black- Scholes results in a minor modification of the Black-Scholes formula, since the lognormal dynamic of the underlying asset is preserved. However, market…

Computational Finance · Quantitative Finance 2010-08-24 Arnaud Gocsei , Fouad Sahel

An investor faced with a contingent claim may eliminate risk by perfect hedging, but as it is often quite expensive, he seeks partial hedging (quantile hedging or efficient hedging) that requires less capital and reduces the risk. Efficient…

Pricing of Securities · Quantitative Finance 2014-03-31 Kyong-Hui Kim , Myong-Guk Sin

Option pricing theory, such as the Black and Scholes (1973) model, provides an explicit solution to construct a strategy that perfectly hedges an option in a continuous-time setting. In practice, however, trading occurs in discrete time and…

Mathematical Finance · Quantitative Finance 2025-05-30 Pierre Brugière , Gabriel Turinici

Option contracts are a type of financial derivative that allow investors to hedge risk and speculate on the variation of an asset's future market price. In short, an option has a particular payout that is based on the market price for an…

Computational Finance · Quantitative Finance 2012-02-14 Jacob Abernethy , Rafael M. Frongillo , Andre Wibisono

In the standard Black-Scholes-Merton framework, dividends are represented as a continuous dividend yield and the pricing of Vanilla options on a stock is achieved through the well-known Black-Scholes formula. In reality however, stocks pay…

Pricing of Securities · Quantitative Finance 2021-06-25 Jherek Healy

This paper examines a class of barrier options-multi-step barrier options, which can have any finite number of barriers of any level. We obtain a general, explicit expression of option prices of this type under the Black-Scholes model.…

Pricing of Securities · Quantitative Finance 2021-06-01 Hangsuck Lee , Gaeun Lee , Seongjoo Song

Volatility clustering, long-range dependence, and non-Gaussian scaling are stylized facts of financial assets dynamics. They are ignored in the Black & Scholes framework, but have a relevant impact on the pricing of options written on…

Pricing of Securities · Quantitative Finance 2020-02-12 Fulvio Baldovin , Massimiliano Caporin , Michele Caraglio , Attilio Stella , Marco Zamparo

Real life hedging in the Black-Scholes model must be imperfect and if the stock's drift is higher than the risk free rate, leads to a profit on average. Hence the option price is examined as a fair game agreement between the parties, based…

Pricing of Securities · Quantitative Finance 2019-03-20 Marek Capinski

We survey some new progress on the pricing models driven by fractional Brownian motion \cb{or} mixed fractional Brownian motion. In particular, we give results on arbitrage opportunities, hedging, and option pricing in these models. We…

Pricing of Securities · Quantitative Finance 2010-04-20 Christian Bender , Tommi Sottinen , Esko Valkeila

We model the logarithm of the price (log-price) of a financial asset as a random variable obtained by projecting an operator stable random vector with a scaling index matrix $\underline{\underline{E}}$ onto a non-random vector. The scaling…

Probability · Mathematics 2015-06-26 Przemysław Repetowicz , Peter Richmond

We discuss in this note applications of the Multidimensional Positive Definite Advection Transport Algorithm (MPDATA) to numerical solutions of partial differential equations arising from stochastic models in quantitative finance. In…

Computational Finance · Quantitative Finance 2019-06-24 Sylwester Arabas , Ahmad Farhat

Suppose one buys two very similar stocks and is curious about how much, after some time T, one of them will contribute to the overall asset, expecting, of course, that it should be around 1/2 of the sum. Here we examine this question within…

Statistical Finance · Quantitative Finance 2011-05-31 Gleb Oshanin , Gregory Schehr

Panel data are modern statistical tools which are commonly used in all kinds of econometric problems under various regularity assumptions. The panel data models with changepoints are introduced together with atomic pursuit methods and they…

Statistics Theory · Mathematics 2019-09-24 Matúš Maciak

Artificial neural networks (ANNs) have recently also been applied to solve partial differential equations (PDEs). In this work, the classical problem of pricing European and American financial options, based on the corresponding PDE…

Computational Finance · Quantitative Finance 2020-05-26 Beatriz Salvador , Cornelis W. Oosterlee , Remco van der Meer

We study general properties such as the solution representation of a moving boundary value problem of the Black-Scholes equation, its min-max estimation, lower and upper gradient estimates, and strict monotonicity with respect to the…

Pricing of Securities · Quantitative Finance 2022-03-14 Hyong-Chol O , Tae-Song Choe

This paper develops a European option pricing formula for fractional market models. Although there exist option pricing results for a fractional Black-Scholes model, they are established without accounting for stochastic volatility. In this…

Statistics Theory · Mathematics 2008-12-02 Ngai Hang Chan , Chi Tim Ng

In this paper we develop numerical pricing methodologies for European style Exchange Options written on a pair of correlated assets, in a market with finite liquidity. In contrast to the standard multi-asset Black-Scholes framework, trading…

Pricing of Securities · Quantitative Finance 2020-06-16 Kevin S. Zhang , Traian A. Pirvu

Recorded option pricing datasets are not always freely available. Additionally, these datasets often contain numerous prices which are either higher or lower than can reasonably be expected. Various reasons for these unexpected observations…

Computational Finance · Quantitative Finance 2025-01-22 Jaco Visagie

We revisit the problem of maximizing expected logarithmic utility from consumption over an infinite horizon in the Black-Scholes model with proportional transaction costs, as studied in the seminal paper of Davis and Norman [Math. Operation…

Portfolio Management · Quantitative Finance 2011-08-29 Stefan Gerhold , Johannes Muhle-Karbe , Walter Schachermayer
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