Credit analysis is the evaluation of the credit worthiness of a business or an organisation done through historic data like audited balance sheets, forecasts in the form of budgets and cash flow, ratings given by credit rating companies, analysis of ratios, capital marketisation, share prices and many more benchmarks. However, in today’s world, “Big Data” is what is being spoken about by all. Data is collected every second from various sources like social media sites, online and offline purchases and so on. The emerging era of credit analysis is based on consumer behaviour online; their likes and dislikes, preference for the products they purchase and so on. Everything is recorded through “Big Data” and is accessible to judge whether a pers...
Credit analysis is a comprehensive analysis of the overall performance of the client and the specifi...
For most Americans, access to credit is an essential requirement for upward mobility and financial s...
Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a mu...
PurposeThis paper aims to survey the credit scoring literature in the past 41 years (1976-2017) and ...
In the financial market, banking sector is one of the major sectors. The main objective of a bank is...
Most businesses nowadays cannot survive without lending money. In a quest for survival and expansion...
Credit scoring has evolved into a critical tool for assessing risk in consumer lending. This thesis ...
The main activity of banks can be defined as providing funds to who needs funds by collecting deposi...
Banking has been noted to be one of the most digitalized industries. In this study, the first aim is...
© 2018 Elsevier B.V. Credit scoring is without a doubt one of the oldest applications of analytics. ...
You may be surprised to learn that your next internet search could affect your credit score. Lender...
Tremendous growth in the credit industry has spurred the need for Credit Scoring and Its Application...
The modern financial network facilitates profound credit risk assessment. However, currently the Fin...
Although banks have been conducting credit lending activities for centuries by using traditional cre...
The volume Credit scoring in context of interpretable machine learning presents a unique, and simult...
Credit analysis is a comprehensive analysis of the overall performance of the client and the specifi...
For most Americans, access to credit is an essential requirement for upward mobility and financial s...
Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a mu...
PurposeThis paper aims to survey the credit scoring literature in the past 41 years (1976-2017) and ...
In the financial market, banking sector is one of the major sectors. The main objective of a bank is...
Most businesses nowadays cannot survive without lending money. In a quest for survival and expansion...
Credit scoring has evolved into a critical tool for assessing risk in consumer lending. This thesis ...
The main activity of banks can be defined as providing funds to who needs funds by collecting deposi...
Banking has been noted to be one of the most digitalized industries. In this study, the first aim is...
© 2018 Elsevier B.V. Credit scoring is without a doubt one of the oldest applications of analytics. ...
You may be surprised to learn that your next internet search could affect your credit score. Lender...
Tremendous growth in the credit industry has spurred the need for Credit Scoring and Its Application...
The modern financial network facilitates profound credit risk assessment. However, currently the Fin...
Although banks have been conducting credit lending activities for centuries by using traditional cre...
The volume Credit scoring in context of interpretable machine learning presents a unique, and simult...
Credit analysis is a comprehensive analysis of the overall performance of the client and the specifi...
For most Americans, access to credit is an essential requirement for upward mobility and financial s...
Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a mu...