Robust calibration of financial models using Bayesian estimators

2014 ◽  
Vol 17 (4) ◽  
pp. 3-36 ◽  
Author(s):  
Alok Gupta ◽  
Christoph Reisinger
2000 ◽  
Vol 3 (2) ◽  
pp. 53-89 ◽  
Author(s):  
Adam Kurpiel ◽  
Thierry Roncalli
Keyword(s):  

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.


2014 ◽  
Vol 113 (26) ◽  
Author(s):  
I. Mastromatteo ◽  
B. Tóth ◽  
J.-P. Bouchaud

Humanomics ◽  
2017 ◽  
Vol 33 (2) ◽  
pp. 189-210 ◽  
Author(s):  
Issa Salim Moh’d ◽  
Mustafa Omar Mohammed ◽  
Buerhan Saiti

Purpose This paper aims to identify the appropriate model to address the financial challenges in agricultural sector in Zanzibar. Since the middle of 1960, clove production has continually and significantly decreased because of some problems and challenges that include financial ones. The financial intermediaries such as banks, cooperatives and micro-enterprises provide micro-financing to the farmers with high interest rates along with collateral requirements. The numerous programmes, measures and policies adopted by the relevant parties to find out the solutions to the dwindling clove production have failed. Design/methodology/approach The authors will review and examine several existing financial models, identify the issues and challenges of the current financial models and propose an appropriate Islamic financing model. Findings The numerous programmes, measures and policies adopted by the relevant parties to find out the solutions to the dwindling clove production have failed. This study, therefore, proposed a Waqf-Muzara’ah-supply chain model to address the financial challenge. Partnership arrangement is also suggested in the model to mitigate the issues of high interest rates and collateral that constrains the financial ability of the farmers and their agricultural output. Originality/value The contribution of the agricultural sector to the economic development of Zanzibar Islands is considerable. As one of the important agricultural sectors, the clove industry was the economic backbone of the government of Zanzibar. This study is believed to be a pioneering work; hence, it is the first study that investigates empirically the challenges facing the clove industry in Zanzibar.


Author(s):  
Najla Ibrahim Abdulrahman, Fatimah Ibrahim Alkhamis

This study aimed to find out the role of financial analysis using financial models to predict the financial stumble on the Saudi public utilities sector. The study was based on the financial analysis of the financial lists published by the sample of the study of the Gas and Manufacturing Company (Gasco) and the Saudi Electricity Company listed in the Saudi Capital Market Authority. During the period (2009-2018) I followed the descriptive analytical approach. The study found the effectiveness of the Abdul Rahman model to predict the financial stumble on the public utilities sector, and the low effectiveness of the Altman model and the Kida model to predict financial stumbles on the utility sector. The study also recommended encouraging audit offices to add financial analysis services to the possibility of predicting and addressing financial stumbles, directing companies using financial models that help predict financial stumbles, encouraging investors to use financial models that help predict financial stumbles to make the right decision, and directing researchers in the study of financial default forecasting on the insurance sector using the Abdul Rahman model.


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