Search results for " Option pricing"

showing 10 items of 14 documents

American Option Pricing and Exercising with Transaction Costs

2005

In this paper we examine the problem of finding the reservation option prices and corresponding exercise policies of American options in a market with proportional transaction costs using the utility based approach proposed by Davis and Zariphopoulou (1995). We present a model where the option holder has a constant absolute risk aversion. We discuss the numerical algorithm and propose a new characterization of the option holder's value function. We suggest original discretization schemes for computing reservation prices and exercise policies of American options. The discretization schemes are implemented for the cases of American put and call options. We present the study of the optimal tra…

Stochastic controlTransaction costFinancial economicsApplied MathematicsReservationComputer Science ApplicationsMicroeconomicsVariable pricingValuation of optionsEconomicsOptimal stoppingAsian optionFinite difference methods for option pricingDatabase transactionFinanceSSRN Electronic Journal
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European Option Pricing and Hedging with Both Fixed and Proportional Transaction Costs

2003

Abstract In this paper we provide a systematic treatment of the utility based option pricing and hedging approach in markets with both fixed and proportional transaction costs: we extend the framework developed by Davis et al. (SIAM J. Control Optim., 31 (1993) 470) and formulate the option pricing and hedging problem. We propose and implement a numerical procedure for computing option prices and corresponding optimal hedging strategies. We present a careful analysis of the optimal hedging strategy and elaborate on important differences between the exact hedging strategy and the asymptotic hedging strategy of Whalley and Wilmott (RISK 7 (1994) 82). We provide a simulation analysis in order …

Stochastic controlTransaction costEconomics and EconometricsMathematical optimizationControl and OptimizationApplied MathematicsMonte Carlo methods for option pricingjel:C61Implied volatilityjel:G13jel:G11option pricing transaction costs stochastic control Markov chain approximationMicroeconomicsVariable pricingOrder (business)Valuation of optionsEconomicsAsian optionFinite difference methods for option pricingSSRN Electronic Journal
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Model Based Monte Carlo Pricing of Energy and Temperature Quanto Options

2010

Weather derivatives have become very popular tools in weather risk management in recent years. One of the elements supporting their diffusion has been the increase in volatility observed on many energy markets. Among the several available contracts, Quanto options are now becoming very popular for a simple reason: they take into account the strong correlation between energy consumption and certain weather conditions, so enabling price and weather risk to be controlled at the same time. These products are more efficient and, in many cases, significantly cheaper than simpler plain vanilla options. Unfortunately, the specific features of energy and weather time series do not enable the use of …

Economics and EconometricsComputer scienceMonte Carlo methodTemperature levelBivariate analysisEnergy priceDynamic modelMicroeconomicsEconomicsEconometricsweather derivatives Quanto options pricing derivative pricing model simulation and forecast.Time seriesQuanto options; Temperature level; Energy price; Dynamic modelMonte Carlo methods for option pricingjel:C53Quanto optionsjel:C51Energy consumptionVariance (accounting)jel:C32Quantojel:G13weather derivatives; Quanto options pricing; derivative pricing; model simulation; forecastjel:L94jel:G17General Energyjel:Q54Binomial options pricing modelVolatility (finance)Futures contract
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Should conference pricing mechanisms incorporate options?

2016

The provision of many services is often characterized by demand uncertainty, as, at the time of purchase, consumers may not be completely informed about their valuation for the service or the possibility to utilize the service when it will actually be provided. For such reason, service providers implement several pricing mechanisms to maximize their profits in presence of consumer uncertainty and heterogeneity. A commonly adopted mechanism is intertemporal price discrimination, under which service providers charge different prices to consumers buying at different times. For instance, a lower price is usually offered to consumer buying early in advance, whereas higher price is practiced to l…

Service provision Inter-temporal price discrimination Consumer options Option pricingSettore ING-IND/35 - Ingegneria Economico-Gestionale
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Option Pricing and Hedging in the Presence of Transaction Costs and Nonlinear Partial Differential Equations

2008

In the presence of transaction costs the perfect option replication is impossible which invalidates the celebrated Black and Scholes (1973) model. In this chapter we consider some approaches to option pricing and hedging in the presence of transaction costs. The distinguishing feature of all these approaches is that the solution for the option price and hedging strategy is given by a nonlinear partial differential equation (PDE). We start with a review of the Leland (1985) approach which yields a nonlinear parabolic PDE for the option price, one of the first such in finance. Since the Leland's approach to option pricing has been criticized on different grounds, we present a justification of…

Transaction costAsymptotic analysisMathematical optimizationActuarial scienceValuation of optionsEconomicsPortfolioAsian optionBlack–Scholes modelFinite difference methods for option pricingFutures contractSSRN Electronic Journal
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Reduced Order Models for Pricing American Options under Stochastic Volatility and Jump-diffusion Models

2016

American options can be priced by solving linear complementary problems (LCPs) with parabolic partial(-integro) differential operators under stochastic volatility and jump-diffusion models like Heston, Merton, and Bates models. These operators are discretized using finite difference methods leading to a so-called full order model (FOM). Here reduced order models (ROMs) are derived employing proper orthogonal decomposition (POD) and non negative matrix factorization (NNMF) in order to make pricing much faster within a given model parameter variation range. The numerical experiments demonstrate orders of magnitude faster pricing with ROMs. peerReviewed

ta113Mathematical optimizationStochastic volatilityDiscretizationComputer scienceJump diffusionFinite difference method010103 numerical & computational mathematics01 natural sciencesNon-negative matrix factorization010101 applied mathematicsValuation of optionslinear complementary problemRange (statistics)General Earth and Planetary SciencesApplied mathematicsreduced order modelFinite difference methods for option pricing0101 mathematicsAmerican optionoption pricingGeneral Environmental ScienceProcedia Computer Science
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Evaluation of Insurance Products with Guarantee in Incomplete Markets

2008

Abstract Life insurance products are usually equipped with minimum guarantee and bonus provision options. The pricing of such claims is of vital importance for the insurance industry. Risk management, strategic asset allocation, and product design depend on the correct evaluation of the written options. Also regulators are interested in such issues since they have to be aware of the possible scenarios that the overall industry will face. Pricing techniques based on the Black & Scholes paradigm are often used, however, the hypotheses underneath this model are rarely met. To overcome Black & Scholes limitations, we develop a stochastic programming model to determine the fair price of the mini…

Statistics and ProbabilityIncomplete marketsEconomics and EconometricsActuarial sciencebusiness.industryOption pricingLife insurance; Policies with minimum guarantee; Option pricing; Incomplete marketsLife insuranceStochastic programmingKey person insurancePolicies with minimum guaranteeSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Valuation of optionsFair valueLife insuranceIncomplete marketsEconomicsAuto insurance risk selectionStatistics Probability and UncertaintybusinessRisk management
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Reduced Order Models for Pricing European and American Options under Stochastic Volatility and Jump-Diffusion Models

2017

Abstract European options can be priced by solving parabolic partial(-integro) differential equations under stochastic volatility and jump-diffusion models like the Heston, Merton, and Bates models. American option prices can be obtained by solving linear complementary problems (LCPs) with the same operators. A finite difference discretization leads to a so-called full order model (FOM). Reduced order models (ROMs) are derived employing proper orthogonal decomposition (POD). The early exercise constraint of American options is enforced by a penalty on subset of grid points. The presented numerical experiments demonstrate that pricing with ROMs can be orders of magnitude faster within a give…

ta113Mathematical optimizationGeneral Computer ScienceStochastic volatilityDifferential equationEuropean optionMonte Carlo methods for option pricingJump diffusion010103 numerical & computational mathematics01 natural sciencesTheoretical Computer Science010101 applied mathematicsValuation of optionsModeling and Simulationlinear complementary problemRange (statistics)Asian optionreduced order modelFinite difference methods for option pricing0101 mathematicsAmerican optionoption pricingMathematicsJournal of Computational Science
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Pricing Schemes for Emerging Telecommunication Market

2012

Telecommunication Pricing Option Pricing Cross-EntropySettore ING-INF/03 - Telecomunicazioni
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Pricing the Option to Surrender in Incomplete Markets

2010

New international accounting standards require insurers to reflect the value of embedded options and guarantees in their products. Pricing techniques based on the Black and Scholes paradigm are often used; however, the hypotheses underneath this model are rarely met. We propose a framework that encompasses the most known sources of incompleteness. We show that the surrender option, joined with a wide range of claims embedded in insurance contracts, can be priced through our tool, and deliver hedging portfolios to mitigate the risk arising from their positions. We provide extensive empirical analysis to highlight the effect of incompleteness on the fair value of the option.

Economics and EconometricsActuarial scienceEmbedded optionSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Valuation of optionsAccountingInsurance policyIncomplete marketsFair valueLife insuranceValue (economics)EconomicsAsian optionSurrenderLife insurance policies with minimum guarantee option pricing incomplete markets surrender optionsFinanceLife insurance; Policies with minimum guarantee; Option pricing; Incomplete markets; Surrender options
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