Financial Models for Projecting National Educational Expenditure

1987 ◽  
Vol 38 (10) ◽  
pp. 949
Author(s):  
R. B. Ladley
2000 ◽  
Vol 3 (2) ◽  
pp. 53-89 ◽  
Author(s):  
Adam Kurpiel ◽  
Thierry Roncalli
Keyword(s):  

2014 ◽  
Vol 17 (4) ◽  
pp. 3-36 ◽  
Author(s):  
Alok Gupta ◽  
Christoph Reisinger

2012 ◽  
Author(s):  
Nikos S. Thomaidis ◽  
George D. Dounias ◽  
Magdalene Marinaki ◽  
Ioannis Marinakis
Keyword(s):  

2021 ◽  
Vol 11 (10) ◽  
pp. 4553
Author(s):  
Ewelina Ziajka-Poznańska ◽  
Jakub Montewka

The development of autonomous ship technology is currently in focus worldwide and the literature on this topic is growing. However, an in-depth cost and benefit estimation of such endeavours is in its infancy. With this systematic literature review, we present the state-of-the-art system regarding costs and benefits of the operation of prospective autonomous merchant ships with an objective for identifying contemporary research activities concerning an estimation of operating, voyage, and capital costs in prospective, autonomous shipping and vessel platooning. Additionally, the paper outlines research gaps and the need for more detailed business models for operating autonomous ships. Results reveal that valid financial models of autonomous shipping are lacking and there is significant uncertainty affecting the cost estimates, rendering only a reliable evaluation of specific case studies. The findings of this paper may be found relevant not only by academia, but also organisations considering to undertake a challenge of implementing Maritime Autonomous Surface Ships in their operations.


2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Hossein Jafari ◽  
Marek T. Malinowski ◽  
M. J. Ebadi

AbstractIn this paper, we consider fuzzy stochastic differential equations (FSDEs) driven by fractional Brownian motion (fBm). These equations can be applied in hybrid real-world systems, including randomness, fuzziness and long-range dependence. Under some assumptions on the coefficients, we follow an approximation method to the fractional stochastic integral to study the existence and uniqueness of the solutions. As an example, in financial models, we obtain the solution for an equation with linear coefficients.


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