Masaaki Fukasawa

  1. Efficient Discretization of Stochastic Integrals.

    Authors: Masaaki Fukasawa
    Subjects: Probability
    Abstract

    Sharp asymptotic lower bounds of the expected quadratic variation of
    discretization error in stochastic integration are given. The theory relies on
    inequalities for the kurtosis and skewness of a general random variable which
    are themselves seemingly new. Asymptotically efficient schemes which attain the
    lower bounds are constructed explicitly. The result is directly applicable to
    practical hedging problem in mathematical finance; it gives an asymptotically
    optimal way to choose rebalancing dates and portofolios with respect to
    transaction costs.

  2. Conservative delta hedging under transaction costs.

    Authors: Masaaki Fukasawa
    Subjects: Pricing of Securities
    Abstract

    Explicit robust hedging strategies for convex or concave payoffs under a
    continuous semimartingale model with uncertainty and small transaction costs
    are constructed. In an asymptotic sense, the upper and lower bounds of the
    cumulative volatility enable us to super-hedge convex and concave payoffs
    respectively. The idea is a combination of Mykland's conservative delta hedging
    and Leland's enlarging volatility. We use a specific sequence of stopping times
    as rebalancing dates, which can be superior to equidistant one even when there
    is no model uncertainty.

  3. Convex risk measures for good deal bounds.

    Authors: Takuji Arai, Masaaki Fukasawa
    Subjects: Pricing of Securities
    Abstract

    We study convex risk measures describing the upper and lower bounds of a good
    deal bound, which is a subinterval of a no-arbitrage pricing bound. We call
    such a convex risk measure a good deal valuation and give a set of equivalent
    conditions for its existence in terms of market. A good deal valuation is
    characterized by several equivalent properties and in particular, we see that a
    convex risk measure is a good deal valuation only if it is given as a risk
    indifference price. An application to shortfall risk measure is given.

  4. Normalization for Implied Volatility.

    Authors: Masaaki Fukasawa
    Subjects: Pricing of Securities
    Abstract

    We study specific nonlinear transformations of the Black-Scholes implied
    volatility to show remarkable properties of the volatility surface. Model-free
    bounds on the implied volatility skew are given. Pricing formulas for the
    European options which are written in terms of the implied volatility are
    given. In particular, we prove elegant formulas for the fair strikes of the
    variance swap and the gamma swap.

  5. Asymptotic analysis for stochastic volatility: Edgeworth expansion.

    Authors: Masaaki Fukasawa
    Subjects: Computational Finance
    Abstract

    The validity of an approximation formula for European option prices under a
    general stochastic volatility model is proved in the light of the Edgeworth
    expansion for ergodic diffusions. The asymptotic expansion is around the
    Black-Scholes price and is uniform in bounded payoff func- tions. The result
    provides a validation of an existing singular perturbation expansion formula
    for the fast mean reverting stochastic volatility model.

  6. Discretization error of Stochastic Integrals.

    Authors: Masaaki Fukasawa
    Subjects: Probability
    Abstract

    Asymptotic error distribution for approximation of a stochastic integral with
    respect to continuous semimartingale by Riemann sum with general stochastic
    partition is studied. Effective discretization schemes of which asymptotic
    conditional mean-squared error attains a lower bound are constructed. Two
    applications are given; efficient delta hedging strategies with transaction
    costs and effective discretization schemes for the Euler-Maruyama approximation
    are constructed.

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