Study of Influence on Cohesive Deposits Incipient Motion and Erosion by Dry Bulk Density

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

Financial option insurance

The option is a financial derivative, which is regularly employed in reducing the risk of its underlying securities. However, investing in option is still risky. Such risk becomes much severer for speculators who utilize option as a means of leverage to increase their potential returns. In order to mitigate risk on their positions, the rudimentary concept of financial option insurance is introduced into practice. Two starkly-dissimilar concepts of insurance and financial option are integrated into the formation of financial option insurance. The proposed financial product insures investors option premiums when misfortune befalls on them. As a trade-off, they are likely to sacrifice a limited portion of their potential profits. The loopholes of prevailing financial market are addressed and the void is filled by introducing a stable three-entity framework. Moreover, a specifically designed mathematical model is proposed. It consists of two portions: the business strategy of matching and a verification-and-modification process. The proposed model enables the option investors with calls and puts of different moneyness to be protected by the issued option insurance. Meanwhile, it minimizes the exposure of option insurers position to any potential losses

Beyond Parrondo's paradox

The Parrondo's paradox is a counterintuitive phenomenon where individually-losing strategies can be combined in producing a winning expectation. In this paper, the issues surrounding the Parrondo's paradox are investigated. The focus is lying on testifying whether the same paradoxical effect can be reproduced by using a simple capital dependent game. The paradoxical effect generated by the Parrondo's paradox can be explained by placing all the parameters in one probability space. Based on this framework, it is able to generate other possible paradoxical effects by manipulating the parameters in the probability space