Stefan Gerhold

  1. Transaction Costs, Trading Volume, and the Liquidity Premium.

    Authors: Johannes Muhle-Karbe, Walter Schachermayer, Stefan Gerhold, Paolo Guasoni
    Subjects: Portfolio Management
    Abstract

    In a market with one safe and one risky asset, an investor with a long
    horizon, constant investment opportunities, and constant relative risk aversion
    trades with small proportional transaction costs. We derive explicit formulas
    for the optimal investment policy, its implied welfare, liquidity premium, and
    trading volume. At the first order, the liquidity premium equals the spread,
    times share turnover, times a universal constant. Results are robust to
    consumption and finite horizons.

  2. Don't stay local - extrapolation analytics for Dupire's local volatility.

    Authors: Peter Friz, Stefan Gerhold
    Subjects: Pricing of Securities
    Abstract

    A robust implementation of a Dupire type local volatility model is an
    important issue for every option trading floor. Typically, this (inverse)
    problem is solved in a two step procedure : (i) a smooth parametrization of the
    implied volatility surface; (ii) computation of the local volatility based on
    the resulting call price surface. Point (i), and in particular how to
    extrapolate the implied volatility in extreme strike regimes not seen in the
    market, has been the subject of numerous articles, starting with Lee (Math.
    Finance, 2004).

  3. The Hartman-Watson Distribution revisited: Asymptotics for Pricing Asian Options.

    Authors: Stefan Gerhold
    Subjects: Probability
    Abstract

    Barrieu, Rouault, and Yor [J. Appl. Probab. 41 (2004)] determined asymptotics
    for the logarithm of the distribution function of the Hartman-Watson
    distribution. We determine the asymptotics of the density. This refinement can
    be applied to the pricing of Asian options in the Black-Scholes model.

  4. The dual optimizer for the growth-optimal portfolio under transaction costs.

    Authors: Johannes Muhle-Karbe, Walter Schachermayer, Stefan Gerhold
    Subjects: Portfolio Management
    Abstract

    We consider the maximization of the long-term growth rate in the
    Black-Scholes model under proportional transaction costs as in Taksar, Klass
    and Assaf [Math. Oper. Res. 13, 1988]. Similarly as in Kallsen and Muhle-Karbe
    [Ann. Appl. Probab., 20, 2010] for optimal consumption over an infinite
    horizon, we tackle this problem by determining a shadow price, which is the
    solution of the dual problem. It can be calculated explicitly up to determining
    the root of a deterministic function.

  5. Asymptotics and Duality for the Davis and Norman Problem.

    Authors: Johannes Muhle-Karbe, Walter Schachermayer, Stefan Gerhold
    Subjects: Portfolio Management
    Abstract

    We revisit the problem of maximizing expected logarithmic utility from
    consumption over an infinite horizon in the Black-Scholes model with
    proportional transaction costs, as studied in the seminal paper of Davis and
    Norman [Math. Operation Research, 15, 1990]. Similarly to Kallsen and
    Muhle-Karbe [Ann. Appl. Probab., 20, 2010], we tackle this problem by
    determining a shadow price, that is, a frictionless price process with values
    in the bid-ask spread which leads to the same optimization problem. However, we
    use a different parametrization, which facilitates computation and
    verification.

  6. Moment Explosion in the LIBOR Market Model.

    Authors: Stefan Gerhold
    Subjects: Pricing of Securities
    Abstract

    In the LIBOR market model, forward interest rates are log-normal under their
    respective forward measures. This note shows that their distributions under the
    other forward measures of the tenor structure have approximately log-normal
    tails.

  7. Counting Finite Languages by Total Word Length.

    Authors: Stefan Gerhold
    Subjects: Combinatorics
    Abstract

    We investigate the number of sets of words that can be formed from a finite
    alphabet, counted by the total length of the words in the set. An explicit
    expression for the counting sequence is derived from the generating function,
    and asymptotics for large alphabet respectively large total word length are
    discussed. Moreover, we derive a Gaussian limit law for the number of words in
    a random finite language.

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