The main focus of the present paper is to analyze the impacts of financial policy on inflation rates. The analysis depended on time series data and was divided into theoretical and applied analytical framework. An econometric model was utilized to reflect the relations between financial policy...

Network-Centric Meaning-Driven Human-Centric AI-Cyber Computing Beyond Data-Driven to Event-Driven Architectures for Quantum Uncertainty, 1995-2023:Building upon the contextual focus of current global worldwide discussions on GPT, ChatGPT, GenAI, Generative AI, Large Language Model - LLMs, we...

Goal: ISO 31000 Risk Management (RM) recently re-defined risk as the effect of uncertainty on an organization's ability to meet the objectives. Earlier, it defined risk as a combination of the probability and scope of the (predicted) consequences. The revised ISO Risk advances beyond a static...

Non-life insurance companies most especially, are often faced with the challenge of predicting the number of claims and claim amount to be incurred at any given time. Overcoming such challenges requires examining claim patterns, which assists in premium determination and setting of reserves. The...

We argue that Islamic principles, in particular the avoidance of ribā and gharar should be applied with respect to real economic value rather than to monetary value in terms of conventional currency. In order to reconcile monetary value with economic value, we propose a reference currency...

A State's GDP represents the aggregated image of economic outcomes. Both the GDP dimension and its structure constitute important information with respect to the degree of economic development of a State. A State's GDP is a system characterised by increased inertia. For this reason, transition...

COVID19 Sentiment survey data shows that the level of concern has a strong inverse relationship with the respondents' confidence in government response to the virus. The results show that the lower the confidence in government response, the higher the level of concern

The present paper introduces results of an analysis conducted on data collected from Khartoum state for the year 2009. It aims to apply statistical models for the HIV/AIDS data in Khartoum state centers of testing blood and counseling. AIDS is recognized as an emerging disease only in the early...

A Hidden Markov Model (HMM) is used to model the VIX (the Cboe Volatility Index). A 4- state Gaussian mixture is fitted to the VIX price history from 1990 to 2022. Using a growing window of training data, the price of the S&P500 is predicted and two trading algorithms are presented, based on the...