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Dyshaev Mikhail Mikhaylovich

Publications in Math-Net.Ru

  1. The accounting of illiquidity and transaction costs during the delta-hedging

    Applied Mathematics & Physics, 53:2 (2021),  132–143
  2. Approximation and comparison of the empirical liquidity cost function for various futures contracts

    Mathematical notes of NEFU, 28:4 (2021),  101–113
  3. On measuring the cost of liquidity in the limit order book

    Chelyab. Fiz.-Mat. Zh., 5:1 (2020),  96–104
  4. The optimal rehedging interval for the options portfolio within the RAMP, taking into account transaction costs and liquidity costs

    Bulletin of Irkutsk State University. Series Mathematics, 31 (2020),  3–17
  5. Accounting of transaction costs for delta-hedging of options

    Chelyab. Fiz.-Mat. Zh., 4:4 (2019),  375–386
  6. Time decay comparison for option straddle in case of insufficient liquidity or transaction costs

    Applied Mathematics & Physics, 51:3 (2019),  451–459
  7. Comparing of some sensitivities for nonlinear models comparing of some sensitivities (Greeks) for nonlinear models of option pricing with market illiquidity

    Mathematical notes of NEFU, 26:2 (2019),  94–108
  8. Simulation of feedback effects for futures-style options pricing on Moscow Exchange

    Chelyab. Fiz.-Mat. Zh., 3:4 (2018),  379–394
  9. On some option pricing models on illiquid markets

    Chelyab. Fiz.-Mat. Zh., 2:1 (2017),  18–29
  10. Symmetries and exact solutions of a nonlinear pricing options equation

    Ufimsk. Mat. Zh., 9:1 (2017),  29–41
  11. Group analysis of a nonlinear generalization for Black — Scholes equation

    Chelyab. Fiz.-Mat. Zh., 1:3 (2016),  7–14
  12. Symmetry analysis and exact solutions for a nonlinear model of the financial markets theory

    Mathematical notes of NEFU, 23:1 (2016),  28–45
  13. Group classification for a general nonlinear model of option pricing

    Ural Math. J., 2:2 (2016),  37–44

  14. Yield crop simulation for options pricing

    Chelyab. Fiz.-Mat. Zh., 6:4 (2021),  512–528
  15. Representation of trading signals based Kaufman adaptive moving average as a system of linear inequalities

    Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2:4 (2013),  103–108


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