This is a study of the risk/return characteristics of large equity portfolios, consisting of different option contracts. In times when there is nervousness present in the financial market, and the future prospects of the market are highly uncertain, the importance of appropriate mathematical models is emphasized by traders. Tools to implement option strategies in different markets will be investigated, in order to minimize the risk and maximize the return of the portfolios. Using various options and statistical simulation methods, the risk/return characteristics of options will be studied. Monte Carlo simulation is used, in order to obtain a thorough understanding of the risk/return characteristics of various option strategies, applied on d...
Investing at the stock market is often considered as a way of gambling. That is because most people ...
This thesis investigates a methodology for quantification of model risk in option pricing. A set of ...
Abstract The Monte Carlo Simulation consists of simulating a stochastic model several times, to est...
A primer on decision and risk analysis: Monte Carlo simulation, real options analysis, knowledge val...
This article investigates several variance reduction techniques in Monte Carlo simulation applied in...
We describe an optimization model to evaluate the portfolio performance in the option’s market. Hedg...
The problem of investing money is common to citizens, families and companies. In this chapter, we in...
An option is a contract which gives the owner (buyer) of the option the right, but not obligation, t...
Options are measured risky for investors and speculators due to oscillation in the direction of pric...
This dissertation consists of two papers related to Monte Carlo techniques: the first paper is on th...
The classical Black-Scholes analysis determines a unique, continuous, trading strategy which allows ...
Discretely rebalanced options arbitrage strategies in the presence of transaction costs have path de...
Risk management is practiced in many financial institutions and one of the most commonly used risk m...
This thesis is a collection of essays that study the issue of estimation risk in portfolio optimizat...
This thesis was submitted for the award of Master of Philosophy and was awarded by Brunel University...
Investing at the stock market is often considered as a way of gambling. That is because most people ...
This thesis investigates a methodology for quantification of model risk in option pricing. A set of ...
Abstract The Monte Carlo Simulation consists of simulating a stochastic model several times, to est...
A primer on decision and risk analysis: Monte Carlo simulation, real options analysis, knowledge val...
This article investigates several variance reduction techniques in Monte Carlo simulation applied in...
We describe an optimization model to evaluate the portfolio performance in the option’s market. Hedg...
The problem of investing money is common to citizens, families and companies. In this chapter, we in...
An option is a contract which gives the owner (buyer) of the option the right, but not obligation, t...
Options are measured risky for investors and speculators due to oscillation in the direction of pric...
This dissertation consists of two papers related to Monte Carlo techniques: the first paper is on th...
The classical Black-Scholes analysis determines a unique, continuous, trading strategy which allows ...
Discretely rebalanced options arbitrage strategies in the presence of transaction costs have path de...
Risk management is practiced in many financial institutions and one of the most commonly used risk m...
This thesis is a collection of essays that study the issue of estimation risk in portfolio optimizat...
This thesis was submitted for the award of Master of Philosophy and was awarded by Brunel University...
Investing at the stock market is often considered as a way of gambling. That is because most people ...
This thesis investigates a methodology for quantification of model risk in option pricing. A set of ...
Abstract The Monte Carlo Simulation consists of simulating a stochastic model several times, to est...