Showing 1 - 7 of 7
We find that risk management committees and BIG4 audit firms contribute to audit fees. We use observations of 895 companies registered in Indonesia for 2014-2018, and to answer our hypothesis we used ordinary least squares analysis. The results show that BIG4 weakens the relationship between RMC...
Persistent link: https://www.econbiz.de/10012612483
This research examines the relationship between the risk management committee and textual risk disclosure. Textual risk disclosure is measured using the use of a risk-contained tone in the annual report. We employed empirical analysis for the Indonesian listed firms for the period 2010 to 2018....
Persistent link: https://www.econbiz.de/10012806414
After a brief overview of aspects of computational risk management, the implementation of the rearrangement algorithm in R is considered as an example from computational risk management practice. This algorithm is used to compute the largest quantile (worst value-at-risk) of the sum of the...
Persistent link: https://www.econbiz.de/10012292826
We find that the readability of financial footnotes and risk management committees contributes to audit fees. We use observations from 758 companies listed in Indonesia for 2014–2018, and moderated regression analysis is used for statistical analysis. The results show that the readability of...
Persistent link: https://www.econbiz.de/10013368998
We find that the readability of financial footnotes and risk management committees contributes to audit fees. We use observations from 758 companies listed in Indonesia for 2014-2018, and moderated regression analysis is used for statistical analysis. The results show that the readability of...
Persistent link: https://www.econbiz.de/10013473153
The purpose and novelty of this article is to investigate the extent to which artificial intelligence chatbot ChatGPT can grasp concepts from quantitative risk management. To this end, we enter a scholarly discussion with ChatGPT in the form of questions and answers, and analyze the responses....
Persistent link: https://www.econbiz.de/10014375303
In this paper, we propose a novel framework for estimating systemic risk measures and risk allocations based on Markov Chain Monte Carlo (MCMC) methods. We consider a class of allocations whose jth component can be written as some risk measure of the jth conditional marginal loss distribution...
Persistent link: https://www.econbiz.de/10012204312