مدل بلک شولز تعمیم یافته تحت نوسانات گارچ با محاسبه ارزش در معرض خطرشرطی در قیمت گذاری مشتقه

Abvali, M., Khalili Araghi, M., Hassanabadi, H., & Yaghoobnezhad, A., (2019). Optional Trading Pricing with a New Analytic Method for the Black-Scholes Equation. Journal of Financial Management Strategy, 7(26 ), 135-155. (in persian)

Amiri, M. (2020). Option Pricing Under Black– Scholes, Boness and Binomial Tree Models-Evidence from the Gold Coin Option Contracts in Iran Mercantile Exchange.Journal of Securities Exchange,13(50 ), 141-170. (in persian)

Angelidis, T., Benos, A., & Degiannakis, S. (2004). The use of GARCH models in VaR estimation. In Statistical Methodology (Vol. 1, Issues 1–2, pp. 105–128).

Baghestani, M., Pishbahar, E., & Dahsti, G. (2018). The Pricing of Asian Options Using Monte Carlo Simulation (Case Study: Soybean Meal). Agricultural Economics: Iranian Journal of Agricultural Economics (Economics and Agriculture Journal), 12(3 ), 1-26. (in persian)

Bahradmehr, N., & Tahmasebi, N. (2022). Pricing The Gold Coin Options of Iran Mercantile Exchange Market: "Black Scholes" and "Put-Call Parity" Approaches. Journal of Financial Economics (Financial Economics AND Development), 16(3 (60) ), 69-91. (in persian)

Black, F. (1976). Studies of stock market volatility changes. Proceedings of the American statistical association bisiness and economic statistics section,177-181.

Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. In Journal of Econometrics (Vol. 31, Issue 3, pp. 307–327).

Carr, P, & Wu, L. (2016). Analyzing volatility risk and risk premium in option contracts: A new theory. In Journal of Financial Economics (Vol. 120, Issue 1, pp.1–20).

Darabi, R., and Marufkhani, M. (2015). Valuation of new financial instruments. Auditor 18(82), 72-79. (in persian)

Duan, J. C. (1995). The GARCH option pricing model. Mathematical finance, 5(1), 13-32.

Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. In Econometrica (Vol. 50, Issue 4, p.987).

French , K. R., Schwert , G. W., & Staumbaugh, R. F. (1987). Expected Stock Returns and Volatility. Journal of Financial Economics(Vol. 19, Issue 1, pp.3-29).

Glosten, L. R, Jagannathan, R, & Runkle, D. E. (1993). On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. In The Journal of Finance (Vol. 48, Issue 5, pp. 1779–1801).

Gong, H, Thavaneswaran, A, & Singh, J. (2010). Stochastic Volatility Models with Application in Option Pricing. In Journal of Statistical Theory and Practice (Vol. 4, Issue 4, pp. 541–557).

Hajizadeh, E., & Mahootchi, M. (2019). A Simulation Based Optimization Model for Pricing Basket Options. Financial Engineering and Securities Management (Portfolio Management),10(38 ), 306-327. (in persian)

Harris ,D. (2018). Pricing European Style Options, University of rovidence, 1-49.

Hall, J. (2002). Fundamentals of financial engineering and risk management. Translated by Salehabadi, Ali, Sayah. Sajjad (2019). Tehran: Bors Information and Services Company, Bors Publications. (in persian).

İltüzer, Z. (2022). Option pricing with neural networks vs. Black-Scholes under different volatility forecasting approaches for BIST 30 index options. In Borsa Istanbul Review (Vol. 22, Issue 4, pp. 725–742).

Kimiagari, A. and Afride Sani, A. (2009), Presentation of an integrated method for option pricing based on two models, Black Shoeless and Binary Tree (Case Study of Iran Stock Exchange Market), International Quarterly Journal of Industrial Engineering and Production Management, 19(4), 119-127. (in persian)

Nissi, A, Maliki, B, and Rezaian, R. (2016). Estimating the parameters of the European option pricing model under the underlying asset with stochastic volatility using the loss function approach, Journal of Financial Engineering and Securities Management, 7(28), 91-115. (in persian)

Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. In Econometrica (Vol. 59, Issue 2, p. 347).

Pan, Z., Wang, Y., Liu, L., & Wang, Q. (2019). Improving volatility prediction and option valuation using VIX information: A volatility spillover GARCH model. In Journal of Futures Markets (Vol. 39, Issue 6, pp. 744–776).

Papantonis, I. (2016). Volatility risk premium implications of GARCH option pricing models. In Economic Modelling (Vol. 58, pp. 104–115).

Shahmoradi, A, & Zanganeh, M. (2016). Calculation of value at risk for major  indices of Tehran Stock Exchange using parametric method. Journal of Economic Research, 42(79). 121-149. (in persian)

Sheraz, M., & Preda, V. (2014). Implied Volatility in Black-scholes Model with Garch Volatility. In Procedia Economics and Finance (Vol. 8, pp. 658–663).

Tehrani, R., Mohammadi, S., & Porebrahimi, M. (2011). Modeling and forecasting the volatility of Tehran Exchange Dividend Price Index (Tedpix). Financial Research Journal, 12(30), 23-36. (in persian)

Wang, X.-T., Zhao, Z.-F., & Fang, X.-F. (2015). Option pricing and portfolio hedging under the mixed hedging strategy. In Physica A: Statistical Mechanics and its Applications (Vol. 424, pp. 194–206).

Tsay, R. S. (2005). Analysis of financial time series. John wiley & sons.

Zakoian, J. M. (1994). Threshold heteroskedastic models. In Journal of Economic Dynamics and Control (Vol. 18, Issue 5, pp. 931–955).

Zhang, W., & Zhang, J. E. (2020). GARCH Option Pricing Models and the Variance Risk Premium. In Journal of Risk and Financial Management (Vol. 13, Issue 3, p. 51).