RISK ANALYSIS OF GOOGL & AMZN STOCK CALL OPTIONS USING DELTA GAMMA THETA NORMAL APPROACH

  • Wiji Umiati Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Tanjungpura, Indonesia
  • Evy Sulistianingsih Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Tanjungpura, Indonesia https://orcid.org/0000-0002-7133-1822
  • Shantika Martha Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Tanjungpura, Indonesia
  • Wirda Andani Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Tanjungpura, Indonesia
Keywords: Black-Scholes, Greeks, In-the-money, Out-of-the-money, Risk

Abstract

Stocks, as investment products, tend to carry risks due to fluctuations. The tendency of stock prices to rise over time leads investors to opt for call options, which are one of the derivative investment products. However, call options are influenced by several factors that can pose risks and have nonlinear dependence on market risk factors. Therefore, methods are needed to measure the risk of call options, such as Delta Normal Value at Risk and Delta Gamma Normal Value at Risk. Delta and Gamma are part of Option Greeks, parameters that measure the sensitivity of options to various factors used in determining option prices with the Black-Scholes model. This study uses an approach with the addition of Theta, which can measure the sensitivity of options to time. This study aims to analyze Value at Risk with the Delta Gamma Theta Normal approach for call options on Google (GOOGL) and Amazon (AMZN) stocks. The analysis uses closing stock price data from September 7, 2022, to September 7, 2023, and three in-the-money and out-of-the-money call option prices. The study begins by collecting closing stock prices and call option contract components, testing the normality of stock returns, calculating volatility, , Delta, Gamma, and Theta, then calculating the Value at Risk. Based on the analysis, it is found that GOOGL and AMZN call options have a Value at Risk of $0.89588 and $0.92760, respectively, at a 99% confidence level with a strike price of $120. Furthermore, based on the comparison of Value at Risk between in-the-money and out-of-the-money call options, it can be concluded that out-of-the-money call options tend to have larger estimated losses.

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References

D. Paningrum, Buku Referensi Investasi Pasar Modal, 1st ed. Lembaga Chakra Brahmanda Lentera, 2022.

E. Patriya, “Implementasi Support Vector Machine Pada Prediksi Harga Saham Gabungan (Ihsg),” J. Ilm. Teknol. dan Rekayasa, vol. 25, no. 1, pp. 24–38, 2020, doi: 10.35760/tr.2020.v25i1.2571.

A. Rusdianingrum and Budiyanto, “Aplikasi Penentuan Harga Opsi Tipe Eropa dengan Menggunakan Model Black Scholes,” J. Ilmu dan Ris. Manaj., vol. 4, no. 10, 2015.

I. Syata, D. C. Lesmana, and H. Sumarno, “Numerical method for determining option price with risk adjusted pricing methodology (RAPM) volatility model,” Appl. Math. Sci., vol. 9, no. 134, pp. 6697–6705, 2015, doi: 10.12988/ams.2015.57509.

S. Dewi and I. Ramli, “Opsi Saham Pada Pasar Modal Di Indonesia (Studi Pasar Opsi Saat Pasar Opsi Masih Berlangsung Di Bursa Efek Indonesia),” J. Muara Ilmu Ekon. dan Bisnis, vol. 2, no. 2, p. 300, 2019, doi: 10.24912/jmieb.v2i2.1001.

V. Mombeyarara, “An ICA-GARCH Approach to Computing Portfolio VaR with Applications to South African Financial Markets,” University of The Witwatersrand, 2016.

E. Sulistianingsih, D. Rosadi, and Abdurakhman, “Delta Normal and Delta Gamma Normal Approximation In Risk Measurement of Portfolio Consisted of Option and Stock,” in Proceedings of The 8th SEAMS-UGM International Conference on Mathematics and its Applications, AIP Publishing, 2019, p. 090011. doi: 10.1063/1.5139181.

N. Pratiwi, E. Sulistianingsih, and N. Imro’ah, “Penggunaan Metode Greeks Black Scholes Untuk Analisis Sensitivitas Harga Opsi Beli Eropa,” Bimaster Bul. Ilm. Mat. Stat. dan Ter., vol. 8, no. 2, pp. 363–370, 2019, doi: 10.26418/bbimst.v8i2.32798.

S. A. Putri, B. Subartini, and S. Sukono, “The Use of Quasi Monte Carlo Method with Halton Random Number Sequence in Determining the Price of European Type Options: in PT Telekomunikasi Indonesia Stock’s,” Int. J. Glob. Oper. Res., vol. 3, no. 4, pp. 116–124, 2022, doi: 10.47194/ijgor.v3i4.191.

A. I. Iqrami, N. Nainggolan, and T. Manurung, “Metode Black Scholes Dalam Menghitung Harga Opsi Asia ( Studi Kasus Pada Saham HMS Holdings Corp ),” d’CartesiaN J. Mat. dan Apl., vol. 10, no. 2, pp. 64–68, 2021.

G. Supriadi, Statistika Penelitian Pendidikan, 1st ed. Yogyakarta: UNY Press, 2021.

Nuryadi, T. D. Astuti, E. S. Utami, and M. Budiantara, Buku Ajar Dasar-dasar Statistik Penelitian. Yogyakarta: SIBUKU MEDIA, 2017.

Q. Nissa, N. Satyahadewi, and H. Perdana, “Penentuan Harga Opsi Beli Tipe Eropa Menggunakan Metode Trinomial,” Bul. Ilm. Math. Stat. dan Ter., vol. 09, no. 3, pp. 379–386, 2020.

S. C. Sekhar and J. Murthy, “A Study on Hedging Option Greeks: Risk Management Tool for Portfolio of Futures & Options,” Int. J. Manag. Technol. Eng., vol. 9, no. 10, pp. 223–228, 2019, doi: 10.2139/ssrn.3479421.

A. Kumar, “A Study On Risk Hedging Strategy: Efficacy Of Option Greeks,” Abhinav Natl. Mon. Ref. J. Res. Commer. Manag., vol. 7, no. 4, pp. 77–85, 2018.

K. Dowd, Measuring Market Risk. Chichester: John Wiley and Sons, 2007.

E. Sulistianingsih, S. Martha, W. Andani, W. Umiati, and A. Astuti, “Application of Delta Gamma (Theta) Normal Approximation in Risk Measurement of AAPL’s and GOLD’s Option,” Media Stat., vol. 16, no. 2, pp. 160–169, 2024, doi: 10.14710/medstat.16.2.160-169.

T. Roncalli, “Market Risk,” in Handbook of Financial Risk Management, 1st ed., Chapman & Hall/CRC Financial Mathematics Series, 2020.

Published
2024-07-31
How to Cite
[1]
W. Umiati, E. Sulistianingsih, S. Martha, and W. Andani, “RISK ANALYSIS OF GOOGL & AMZN STOCK CALL OPTIONS USING DELTA GAMMA THETA NORMAL APPROACH”, BAREKENG: J. Math. & App., vol. 18, no. 3, pp. 1879-1888, Jul. 2024.