Results 21 to 30 of about 31,851 (307)
Fuzzy Optimization of Option Pricing Model and Its Application in Land Expropriation
Journal of Applied Mathematics, 2014 Option pricing is irreversible, fuzzy, and flexible. The fuzzy measure which is used for real option pricing is a useful supplement to the traditional real option pricing method. Based on the review of the concepts of the mean and variance of trapezoidal
Aimin Heng, Qian Chen, Yingshuang Tan
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RESEARCH ON WEATHER DERIVATIVES PRICING–THE CASE OF SHANGHAI MUNICIPALITY [PDF]
Science Heritage JournalWeather derivatives pricing is one of the central issues in the study of this type of financial product, and there is no uniform methodology. To price the temperature option with Shanghai temperature as the underlying and explore how to improve the ...
Pengfei Lv, Shanli Ye
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Option Pricing: Classic Results
, 2012 We recall here the basics of the most classic result of option pricing, perhaps the most famous result in mathematical finance: the Black–Scholes theory for the pricing of “European options” in a perfect market, infinitely divisible and liquid, with no “friction” such as transaction costs or information lag.
Bernhard, Pierre +6 more
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Comprehensive Method to Determine Real Option Utilizing Probability Distribution [PDF]
International Journal of Research in Industrial Engineering, 2014 Data envelopment analysis (DEA) is a non-parametric analytical methodology widely used in efficiency measurement of decision making units (DMUs).
M. Modarres Yazdi +2 more
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Valuation of the Vulnerable Option Price Based on Mixed Fractional Brownian Motion
Discrete Dynamics in Nature and Society, 2018 The pricing problem of a kind of European vulnerable option was studied. The mixed fractional Brownian motion and the jump process were used to characterize the evolution of stock prices.
Yanmin Ouyang +2 more
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Model Calibration in Option Pricing
Sultan Qaboos University Journal for Science, 2012 We consider calibration problems for models of pricing derivatives which occur in mathematical finance. We discuss various approaches such as using stochastic differential equations or partial differential equations for the modeling process.
Andre Loerx, Ekkehard W. Sachs
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Price discovery in the cryptocurrency option market: A univariate GARCH approach
Cogent Economics & Finance, 2020 In this paper, two univariate generalised autoregressive conditional heteroskedasticity (GARCH) option pricing models are applied to Bitcoin and the Cryptocurrency Index (CRIX).
Pierre J. Venter +2 more
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Power Option Pricing Based on Time-Fractional Model and Triangular Interval Type-2 Fuzzy Numbers
Complexity, 2022 The problem of generalizing the power option-pricing model to incorporate more empirical features becomes an urgent and necessary event. A new power option pricing method is designed for the financial market uncertainty that simultaneously involves ...
Tong Wang, Pingping Zhao, Aimin Song
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Option Pricing Formulas in a New Uncertain Mean-Reverting Stock Model with Floating Interest Rate
Discrete Dynamics in Nature and Society, 2020 Options play a very important role in the financial market, and option pricing has become one of the focus issues discussed by the scholars. This paper proposes a new uncertain mean-reverting stock model with floating interest rate, where the interest ...
Zhaopeng Liu
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Index Option Pricing via Nonparametric Regression
Econometric Research in Finance, 2022 Investors typically use the Black-Scholes (B-S) parametric model to value financial options. However, there is extensive empirical evidence that the B-S model, assuming constant volatility of stock returns, is far from adequate to price options.
Ka Po Kung
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