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GARCH option pricing models and the variance risk premium
Zhang, WenJun; Zhang, Jin E. - In: Journal of risk and financial management : JRFM 13 (2020) 3/51, pp. 1-21
one-month variance swap rate, i.e., the CBOE Volatility Index (VIX) accurately. Our research suggests that one should use … premium. Empirical estimation exercises show that the GARCH option-pricing models under our mLRNVR are able to price the SPX …
Persistent link: https://www.econbiz.de/10012174118
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Implied filtering densities on the hidden state of stochastic volatility
Fuertes, Carlos; Papanicolaou, Andrew - In: Applied mathematical finance 21 (2014) 5/6, pp. 483-522
Persistent link: https://www.econbiz.de/10010500874
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Arbitrage free approximations to candidate volatility surface quotations
Madan, Dilip B.; Schoutens, Wim - In: Journal of risk and financial management : JRFM 12 (2019) 2/69, pp. 1-21
difficulties for the use of Fourier inversion methodologies in volatility surface calibration. Continuous time Markov chain …
Persistent link: https://www.econbiz.de/10012022144
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Term structure of interest rates with short-run and long-run risks
Grishchenko, Olesya V.; Song, Zhaogang; Zhou, Hao - In: The Journal of finance and data science : JFDS 8 (2022), pp. 255-295
We find that interest rate variance risk premium (IRVRP) - the difference between implied and realized variances of interest rates - is a strong predictor of U.S. Treasury bond returns of maturities ranging between one and ten years for return horizons up to six months. IRVRP is not subsumed by...
Persistent link: https://www.econbiz.de/10014433708
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The price of the smile and variance risk premia
Gruber, Peter H.; Tebaldi, Claudio; Trojani, Fabio - In: Management science : journal of the Institute for … 67 (2021) 7, pp. 4056-4074
Persistent link: https://www.econbiz.de/10012623900
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Jump and variance risk premia in the S&P 500
Neumann, Maximilian; Prokopczuk, Marcel; Wese Simen, Chardin - In: Journal of banking & finance 69 (2016), pp. 72-83
Persistent link: https://www.econbiz.de/10011635040
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Understanding delta-hedged option returns in stochastic volatility environments
Sasaki, Hiroshi - In: Asia-Pacific financial markets 22 (2015) 2, pp. 151-184
Persistent link: https://www.econbiz.de/10011377526
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Delta-hedged gains of SSE 50 ETF options
Li, Xiaoping; Zhou, Chunyang; Huang, Wei - In: Applied economics letters 29 (2022) 20, pp. 1864-1867
Persistent link: https://www.econbiz.de/10013412320
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Options pricing by Monte Carlo simulation, binomial tree and BMS model : a comparative study
Bendob, Ali; Bentouir, Naima - In: Journal of banking and financial economics 1 (2019) 11, pp. 79-95
categories with a high level of volatility in In-the money category, other finding concludes that the Monte Carlo Simulation … method is outperforming when the volatility is lower, while the Black-Sholes model and the Binomial model are outperforming …
Persistent link: https://www.econbiz.de/10012115106
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Bismut-Elworthy-Li formula for subordinated Brownian motion applied to hedging financial derivatives
Kateregga, M.; Mataramvura, S.; Taylor, D. - In: Cogent economics & finance 5 (2017) 1, pp. 1-25
The objective of the paper is to extend the results in Fournié, Lasry, Lions, Lebuchoux, and Touzi (1999), Cass and Fritz (2007) for continuous processes to jump processes based on the Bismut–Elworthy–Li (BEL) formula in Elworthy and Li (1994). We construct a jump process using a...
Persistent link: https://www.econbiz.de/10011886622