The Role of Economic Factors in Moody’s Credit Analysis

2017 ◽  
pp. 535-538
Author(s):  
Edward Krauss ◽  
Alfred Medioli
2020 ◽  
Vol 2 (1) ◽  
pp. 73-90
Author(s):  
Ahmad Tohri ◽  
H. Habibuddin ◽  
Abdul Rasyad

This article discusses the Sasak people’s resistance against MataramKarangasem and Dutch colonial rulers in the 19th century in Lombok, Indonesia. It particularly focuses on Tuan Guru Umar Kelayu and his central role in the emergence of Sasak people’s resistance which transformed into Sasak physical revolution local and global imperialismcolonialism. Using the historical method, this article collected data through observation, in-depth interviews, and documentation. The data analysis involved the historical methods of heuristics, verification or criticism, interpretation, and historiography. The findings show that Sasak people’s resistance was not only caused by economic factors but also related to other factors such as social, cultural, and religious ones. Tuan Guru Umar Kelayu played a key role in the Sasak people’s resistance in that it was under his leadership and influence that the resistance transformed into a physical struggle against MataramKarangasem and Dutch colonialism as seen in Sakra War and Praya War which were led by his students and friends.


2020 ◽  
Author(s):  
Meghan Siritzky ◽  
David M Condon ◽  
Sara J Weston

The current study utilizes the current COVID-19 pandemic to highlight the importance of accounting for the influence of external political and economic factors in personality public-health research. We investigated the extent to which systemic factors modify the relationship between personality and pandemic response. Results shed doubt on the cross-cultural generalizability of common big-five factor models. Individual differences only predicted government compliance in autocratic countries and in countries with income inequality. Personality was only predictive of mental health outcomes under conditions of state fragility and autocracy. Finally, there was little evidence that the big five traits were associated with preventive behaviors. Our ability to use individual differences to understand policy-relevant outcomes changes based on environmental factors and must be assessed on a trait-by-trait basis, thus supporting the inclusion of systemic political and economic factors in individual differences models.


2018 ◽  
Vol 1 (1) ◽  
pp. 49-60
Author(s):  
Faisal Salistia

The role of BPRs in providing capital assistance to MSME business units, still has to deal with the internal management of the bank's own management.  This must be understood because  one of  the factors  to assess  the health  of  a  BPR is to look at the NPL (Non- Performing Loan) ratio, calculated from the total loans that fall into the non -current category, divided by the total credit given. Where is the maximum ratio determined by Bank Indonesia, which is below 5%. This means that if  a BPR has an NPL ratio above 5%, then it can be assumed that there is a failure in implementing an inefficient and ineffective lending strategy. Therefore, it is necessary to examine the factors that influence the high NPL of rural banks (BPR), especially  from  credit  lending  strategies.  In  addition,  economic conditions  and business competition and forecasting of future conditions, conduct training for AO to sharpen credit analysis, ensure that the process of submission and disbursement of credit quickly and easily provides various alternative options for debtors to pay their credit, providing standard procedure for  granting credit, conducting  a  survey of  the place of  business against the submission of business credit. The research objective is to analyze 1) the influence of BP's internal conditions on the lending strategy. 2) Analyzing the effect of Credit Giving Strategy  on Non -Performing Loans. The research method uses a survey method with a multiple linear  regression approach to obtain information on the influence of both of these. The results of the study show that 1) the internal condition of the BPR has a positive and significant effect on the lending strategy (the condition  of the organization  within the organization and formally has direct and specific implications on BPR). 2) that the lending strategy has a negative and significant effect on NPL. The lending strategy applied by BPRs is a means to control the development of credit thrown into the market by the BPR.


2016 ◽  
Vol 3 (1) ◽  
pp. 41
Author(s):  
Mulindabigwi Charles, Ruhara

2020 ◽  
Vol 2 (1) ◽  
pp. 68-77
Author(s):  
Fransisco Lumban Batu ◽  
Taufik Siregar ◽  
Muazzul Muazzul

Violent theft is one of the diseases of society which merges with crime, which in the historical process from generation to generation turns out that the crime is a crime that harms and tortures others. This type of research is normative juridical that is by means of library research. The results of this study are the role of the Patumbak police in violent theft as stipulated in Article 365 of the Criminal Code, in accordance with the duties and authorities of the police, conducting investigations and investigations as well as arresting the perpetrators and processing in accordance with applicable legal provisions, the factors causing the crime of theft with violence in the Patumbak Sector Police Sector are due to economic factors, social factors and illegal drugs, education factors and also the lack of guidance. Obstacles in efforts to deal with violent theft due to the lack of police personnel in the field in the Patumbak Sector Police area, the ability of the police to handle cases is still lacking, the lack of tools needed by members of the National Police in handling cases and the vast area of the Patumbak Sector Police.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dhananjay Kumar ◽  
Nitin Bisht ◽  
Indrajeet Kumar

PurposeThis study aims to identify the role of age structure in occupational choices and the classification of the occupations based on the age structure of individuals in the Indian labour market.Design/methodology/approachThis study uses the first Periodic Labour Force Survey, 2017–18. The occupational classifications are based on the standardised scores for age groups and their occupations. Further, a multinomial logistic regression model has been used to estimate social and economic factors in determining the age-based occupational classifications.FindingsThe authors found age structure an essential factor in determining occupational choices. Hence, occupations in the Indian labour market have been grouped into seven categories, accordingly. In addition, social and economic factors of individuals and households do have a significant influence on the selection of age-based occupational classifications.Research limitations/implicationsThe study is limited to the occupational classification based on the age structure of individuals without any industry effects. The findings suggest that policymakers must adopt occupation-specific policies considering the age structure of individuals.Originality/valueEarlier studies are limited to the dynamics of age either on the basis of specific age groups (younger or older) or on the industrial classification in a disaggregated way. They also lack a rich approach in analysing the occupational classification considering age structure, especially in the Indian labour market. The study adds value when the role of age structure is identified in occupational choices in the Indian labour market, and hence, a novel classification of occupations into seven categories is proposed.


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