Long Strangle Strategy Using Barrier Options and its Application in Hedging Against a Price Increase
Abstract This paper presents hedging analysis against an underlying price increase by using Long Strangle strategy formed with vanilla and barrier options. More specifically, up and knock-in call option and standard barrier put options are used. The main theoretical contribution is to specify profit functions for this strategy followed by derivation of cost functions for secured position. The strategy is applied to real option data for SPDR Gold Shares (GLD). The costs of options in strategy to form secured position are investigated for different values of barriers with fixed strike prices. Furthermore, the mutual effect of variation in requested costs or call/put option strike price or call option barrier is analysed.
Analysis of using options to the express certificates formation
This article analyses the express certificates formation on the financial market. Express certificates are one type of modern structured products suitable for individual investors, the return of which is derived from the return of the underlying asset. There are detailed descriptions of these products with the aim of showing the nature of the express certificates formation. It is proved that the payoff of the express certificates is engineered from a combination of traditional financial instrument with the derivative products, especially vanilla and barrier options. Theoretical price of vanilla and barrier options are calculated through option pricing models. The main aim of this article is to provide an analysis of the express certificates formation on the shares (Daimler AG and Allianz SE) issued by Deutsche Bank AG. The objective of the analysis is to contribute to the intellectualisation of all investors.
Speci fi cation Test for Panel Data Models with Interactive Fixed E ff ects ∗
In this paper, we propose a consistent nonparametric test for linearity in a large dimensional panel data model with interactive fixed effects. Both lagged dependent variables and conditional heteroskedasticity of unknown form are allowed in the model. We estimate the model under the null hypothesis of linearity to obtain the restricted residuals which are then used to construct the test statistic. We show that after being appropriately centered and standardized, the test statistic is asymptotically normally distributed under both the null hypothesis and a sequence of Pitman local alternatives by using the concept of conditional strong mixing that was recently introduced by Prakasa Rao (2009). To improve the finite sample performance, we propose a bootstrap procedure to obtain the bootstrap -value. A small set of Monte Carlo simulations illustrates that our test performs well in finite samples. An application to an economic growth panel dataset indicates significant nonlinear relationships between economic growth, initial income level and capital accumulation.