scholarly journals Option Pricing with Neural Networks vs. Black-Scholes under Different Volatility Forecasting Approaches for BIST 30 Index Options

Author(s):  
Zeynep İltüzer
1994 ◽  
Vol 4 (4) ◽  
pp. 249-263 ◽  
Author(s):  
Seungmook Choi ◽  
Mark E. Wohar

1987 ◽  
Vol 1 (2) ◽  
pp. 73-93 ◽  
Author(s):  
Mark Rubinstein

Derivative assets analysis enjoys an unusual status; it is a recently developed, relatively complex tool of economic analysis, faithful to the core of economic theory, and widely used to make reallife decisions. This paper, discusses derivative assets based on buy-and-hold strategies; derivative assets based on dynamic replicating strategies; valuing and replicating other derivative assets; and the Black-Scholes option pricing formula. Then it takes a detailed look at four applications: index futures, equity options, index options, and portfolio insurance.


Author(s):  
Kaustubh yadav ◽  
Anubhuti yadav

This paper inquires on the options pricing modeling using Artificial Neural Networks to price Apple(AAPL) European Call Options. Our model is based on the premise that Artificial Neural Networks can be used as functional approximators and can be used as an alternative to the numerical methods to some extent, for a faster and an efficient solution. This paper provides a neural network solution for two financial models, the BlackScholes-Merton model, and the calibrated-Heston Stochastic Volatility Model, we evaluate our predictions using the existing numerical solutions for the same, the analytic solution for the Black-Scholes equation, COS-Model for Heston’s Stochastic Volatility Model and Standard Heston-Quasi analytic formula. The aim of this study is to find a viable time-efficient alternative to existing quantitative models for option pricing.


Author(s):  
Alan N. Rechtschaffen

An option is a derivative that derives its value from another underlying asset, instrument, or index. Options “transfer the right but not the obligation to buy or sell the underlying asset, instrument or index on or before the option's exercise date at a specified price (the strike price).” A contract that gives a purchaser such a right is inherently an option even if it called something else. Options can trade over the counter or on an exchange. Regulatory jurisdiction will be defined by the underlying asset negotiated under the terms of the option, by the location where the options are traded, and by the counterparties to an option transaction. This chapter discusses the characteristics of options, how options work, the Black-Scholes model and option pricing, delta hedging, and option strategies.


2007 ◽  
Author(s):  
Anoop John ◽  
Prasun Banerjee ◽  
Vigil Francis

2021 ◽  
Vol 14 (3) ◽  
pp. 136
Author(s):  
Holger Fink ◽  
Stefan Mittnik

Since their introduction, quanto options have steadily gained popularity. Matching Black–Scholes-type pricing models and, more recently, a fat-tailed, normal tempered stable variant have been established. The objective here is to empirically assess the adequacy of quanto-option pricing models. The validation of quanto-pricing models has been a challenge so far, due to the lack of comprehensive data records of exchange-traded quanto transactions. To overcome this, we make use of exchange-traded structured products. After deriving prices for composite options in the existing modeling framework, we propose a new calibration procedure, carry out extensive analyses of parameter stability and assess the goodness of fit for plain vanilla and exotic double-barrier options.


2021 ◽  
pp. 1-11
Author(s):  
Hani Raouf Sheybani ◽  
Majid Oloomi Buygi

Sign in / Sign up

Export Citation Format

Share Document