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.
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).
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.
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.
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.
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.
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.