Pricing vanilla options using artificial neural networks: Application to the South African market

被引：6

作者：

du Plooy, Ryno ^{[1
]}

Venter, Pierre J. ^{[1
]}

机构：

[1] Univ Johannesburg, Dept Finance & Investment Management, Auckland Pk, ZA-2006 Johannesburg, South Africa

来源：

COGENT ECONOMICS & FINANCE | 2021年 / 9卷 / 01期

关键词：

Artificial intelligence; European call options; financial derivatives; implied volatility; Johannesburg Stock Exchange ([!text type='JS']JS[!/text]E); machine learning; neural networks;

D O I：

10.1080/23322039.2021.1914285

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In this paper, a feed-forward artificial neural network (ANN) is used to price Johannesburg Stock Exchange (JSE) Top 40 European call options using a constructed implied volatility surface. The prices generated by the ANN were compared to the prices obtained using the Black-Scholes (BS) model. It was found that the pricing performance of the ANN significantly improves when the number of training samples are increased and that ANNs are able to price European call options in the South African market with a high degree of accuracy.

引用

页数：15

共 14 条

[1]

Albon C., 2018, Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

[2]

[Anonymous], 1994, A Comprehensive Foundation: Neural Networks, DOI 10.1142/S0129065794000372

[3]

Bennell J., 2004, International Journal of Intelligent Systems in Accounting, Finance and Management, V12, P243, DOI 10.1002/isaf.254

[4] PRICING OF OPTIONS AND CORPORATE LIABILITIES [J].

BLACK, F ;

SCHOLES, M .

JOURNAL OF POLITICAL ECONOMY, 1973, 81 (03) :637-654

[5]

Chollet F., 2015, Keras

[6]

Culkin R, 2017, J INVEST MANAG, V15, P92

[7]

Cybenko G., 1989, Mathematics of Control, Signals, and Systems, V2, P303, DOI 10.1007/BF02551274

[8] MULTILAYER FEEDFORWARD NETWORKS ARE UNIVERSAL APPROXIMATORS [J].

HORNIK, K ;

STINCHCOMBE, M ;

WHITE, H .

NEURAL NETWORKS, 1989, 2 (05) :359-366

[9]

Hull J. C., 2003, Options futures and other derivatives, V895

[10] A NONPARAMETRIC APPROACH TO PRICING AND HEDGING DERIVATIVE SECURITIES VIA LEARNING NETWORKS [J].

HUTCHINSON, JM ;

LO, AW ;

POGGIO, T .

JOURNAL OF FINANCE, 1994, 49 (03) :851-889

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