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formula holds for subordinated Brownian motion and, this representation is useful in developing simple and tractable hedging … strategies (the Greeks) in jump-type derivatives market as opposed to more complex jump models. …
Persistent link: https://www.econbiz.de/10011886622
We show that the option hedging risk of an optimal, continuously rebalanced hedging strategy in an exponential Lévy … additionally performed for some popular suboptimal hedging strategies, with the same conclusion …
Persistent link: https://www.econbiz.de/10013313919
measured in terms of minimal variance and the associated optimal hedging portfolio is derived by a stochastic maximum principle …
Persistent link: https://www.econbiz.de/10013234161
In this paper we present a method for calculating the entire hedge surface of a derivative who’s future underlying asset has been simulated by a market simulator for example with the Monte Carlo method. Our method is built from work on penalized filtering techniques and is applied on a grid of...
Persistent link: https://www.econbiz.de/10013228561
solution for call options hedging under the exponential-Lévy class of price models. This approach leads to an efficient and …In this paper, we study the hedging problem based on the CVaR in incomplete markets. As the superhedging is quite … expensive in terms of initial capital, we construct a self-financing strategy that minimizes the CVaR of hedging risk under a …
Persistent link: https://www.econbiz.de/10012933340
lower- and upper-hedging problems, and somewhat unexpectedly, a facelift turns out to exist in utility-maximization despite …
Persistent link: https://www.econbiz.de/10010442910
In this contribution we propose a dynamic tracking error problem and we consider the problem of monitoring at discrete point the shortfall of the portfolio below a set of given reference levels of wealth. We formulate and solve the resulting dynamic optimization problem using stochastic...
Persistent link: https://www.econbiz.de/10014040374
In the last five years, the financial industry has been impacted by the emergence of digitalization and machine learning. In this article, we explore two methods that have undergone rapid development in recent years: Gaussian processes and Bayesian optimization. Gaussian processes can be seen as...
Persistent link: https://www.econbiz.de/10012891532
This paper considers a general class of stochastic dynamic choice models with discrete and continuous decision variables. This class contains a variety of models that are useful for modeling intertemporal household decisions under risk. Our examples are drawn from the field of development...
Persistent link: https://www.econbiz.de/10011378329
The purpose of this paper is to solve a stochastic control problem consisting of optimizing the management of a trading system. Two model free machine learning algorithms based on Reinforcement Learning method are compared: the Q-Learning and the SARSA ones. Both these models optimize their...
Persistent link: https://www.econbiz.de/10013021143