Monte-Carlo Stimulation for European Rainbow Call Options BASED on Meta and NEM’s Case Study
DOI:
https://doi.org/10.54691/bcpbm.v32i.2954Keywords:
Metaverse, Rainbow options, Monte-Carlo stimulation, Distribution.Abstract
Recently, investors have paid great attention to the metaverse sector and the investing instruments for metaverse. Metaverse has become the most popular investment sector since 2021. Due to the rapid development of the industry, coupled with the social instability, it is critical to search for the appropriate investment. Previous literature proposed many advantages of the rainbow options and the expected growth of the metaverse industry. However, there is currently a lack of research on the combination of metaverse assets and the rainbow options. Based on this, this paper chooses the stocks of the metaverse enterprise META and the gold enterprise NEM as the safe-haven asset to construct a two-color European rainbow call options and chooses yahoo Finance's transaction data and excel and python as analysis software. The rainbow options return is given by Monte Carlo simulation method, and complete sensitivity analysis of the four parameters. At the end, the pros cons of rainbow options are compared. Besides three findings are obtained, including that options have cost advantages, could gain return from the market volatility by changing the portfolio, and have sharp peaks and thick tails in the distribution.
Downloads
References
Stokel-Walker, C. (2021). Facebook is now Meta–but why, and what even is the metaverse?. New Scientist, 252(3359), 12. DOI: https://doi.org/10.1016/S0262-4079(21)01955-2
Thomason, J. (2022). Metaverse, Token Economies, and Chronic Diseases. Global Health Journal. DOI: https://doi.org/10.1016/j.glohj.2022.07.001
Wu, T. C., & Ho, C. T. B. (2022). A scoping review of metaverse in emergency medicine. Australasian emergency care. DOI: https://doi.org/10.1016/j.auec.2022.08.002
Hwang, G. J., & Chien, S. Y. (2022). Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective. Computers and Education: Artificial Intelligence, 100082. DOI: https://doi.org/10.1016/j.caeai.2022.100082
Pamucar, D., Deveci, M., Gokasar, I., Tavana, M., & Köppen, M. (2022). A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms. Technological Forecasting and Social Change, 182, 121778. DOI: https://doi.org/10.1016/j.techfore.2022.121778
Alexander, C., Deng, J., & Zou, B. (2022). Hedging with Automatic Liquidation and Leverage Selection on Bitcoin Futures. European Journal of Operational Research. DOI: https://doi.org/10.1016/j.ejor.2022.07.037
Boen, L. (2020). European rainbow option values under the two-asset Merton jump-diffusion model. Journal of Computational and Applied Mathematics, 364, 112344. DOI: https://doi.org/10.1016/j.cam.2019.112344
Byström, H. N. (2002). Using simulated currency rainbow options to evaluate covariance matrix forecasts. Journal of International Financial Markets, Institutions and Money, 12(3), 216-230. DOI: https://doi.org/10.1016/S1042-4431(02)00004-5
Ahmadian, D., Ballestra, L. V., & Shokrollahi, F. (2022). A Monte-Carlo approach for pricing arithmetic Asian rainbow options under the mixed fractional Brownian motion. Chaos, Solitons & Fractals, 158, 112023. DOI: https://doi.org/10.1016/j.chaos.2022.112023
Stokel-Walker, C. (2022). Welcome to the metaverse. New Scientist, 253(3368), 39-43. DOI: https://doi.org/10.1016/S0262-4079(22)00018-5
Rubinstein, R. Y., & Kroese, D. P. (2016). Simulation and the Monte Carlo method. John Wiley & Sons. DOI: https://doi.org/10.1002/9781118631980