Fractal asset returns, arbitrage and option pricing
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DOI: 10.1016/j.chaos.2009.03.095
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- Tommi Sottinen, 2001. "Fractional Brownian motion, random walks and binary market models," Finance and Stochastics, Springer, vol. 5(3), pages 343-355.
- Cajueiro, Daniel O & Tabak, Benjamin M, 2004. "The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 521-537.
- Di Matteo, T. & Aste, T. & Dacorogna, M.M., 2003. "Scaling behaviors in differently developed markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 183-188.
- Fajardo, J. & Cajueiro, D. O., 2003. "Volatility Estimation and Option Pricing with Fractional Brownian Motion," Finance Lab Working Papers flwp_53, Finance Lab, Insper Instituto de Ensino e Pesquisa.
- Beretta, Alessandro & Roman, H. Eduardo & Raicich, Fabio & Crisciani, Fulvio, 2005. "Long-time correlations of sea-level and local atmospheric pressure fluctuations at Trieste," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 347(C), pages 695-703.
- King, Michael R., 2005. "Fractal analysis of eight glacial cycles from an Antarctic ice core," Chaos, Solitons & Fractals, Elsevier, vol. 25(1), pages 5-10.
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- Roy Cerqueti & Viviana Fanelli, 2021. "Long memory and crude oil’s price predictability," Annals of Operations Research, Springer, vol. 299(1), pages 895-906, April.
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