[PDF] Top 20 Big data analysis for financial risk management

... default risk of a bank (see [1, 2]), in the presence of a generalised expectation of state ...of financial crisis in different areas of the world, and a correlated emphasis on systemic financial ... See full document

... some data sets, such as Coordinated Regional Cli-mate Downscaling Experiment (CORDEX) can be downloaded from a variety of servers globally, most data sets hosted by South African institutions are currently ... See full document

... characterise Big Data, also known as the 3Vs: (i) Volume, (ii) velocity and (iii) variety (Ozkose et ...of data and, therefore, to the dimensions of the ...the data is very large. Velocity ... See full document

... “big data” has become extremely popular across the globe in recent ...analyzing big data for various ...of data that can be organized and unorganized, is its ...that big ... See full document

... independent risk management assessment function shall ensurethat the credit granting function is being properly managed and that credit exposures are consistent with official standards and the internal ... See full document

... model risk prediction process based on Spark platform is shown in ...the risk prediction system proposed in this paper mainly includes three Spark working groups: the first working group is mainly based on ... See full document

... The software layer that deals with output and in- terfaces with the user is the least clear at this point in time. As part of the research programme 300 rele- vant research papers have been identified about this issue. ... See full document

... sourced data through the Hadoop Distributed Filesystem (HDFS), analysis through Map Reduce (a batch query processer that abstracts the problem from disk reads and writes), and transforming data into ... See full document

... and management/strategy ...Threats) analysis, followed by spreadsheet applications, balanced scorecard, risk analysis and analysis of financial ...statistical analysis, ... See full document

... member management system Brand companies typically regularly analyze the activity of their members and activate customers who are on the edge of dormant through temporary ...CRM management software, ... See full document

... value risk inherent in MFBs balance sheet, this study introduces the stochastic programming ...of risk under each of the stages separated by the dichotomy variable was derived manually from the series ... See full document

... In the contemporary environment of globalization, it is important for ports to be considered as integral parts of supply chains that have an important role to play in supply chain integration by serving and facilitating ... See full document

... non- financial firms listed in the Nairobi Securities ...for analysis. The study made use of secondary data obtained from the financial statements (balance sheets and income statements) of the ... See full document

... of big data, data growth features are delineated as being four- dimensional: huge amounts of data, wide ranging data types, sparse density of data values, and data ... See full document

... the data is going to demand an equal expenditure ...retrieved data is not realised immediately and therefore the issue of how long to store the data requires the attention of both, the data ... See full document

... collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs” or it can also be defined as “the ... See full document

... whether Big Data is used within the organization to align the firm to customer ...obtaining data on the use of BDA and BDM to assist management in establishing a customer leadership model in ... See full document

... term big data sets so large or complex data sets where the traditional data processing applications are ...of data in the world was generated in last two years. Hence Big ... See full document

... the data antenna to the terminals facing to consumers, what will happen? For example, when customers come to buy our products, the salespersons can communicate with them ...structured data like sales ... See full document

... of Big Data, it is a challenge for traditional data analysis and management ...no Data Description Language (DDL) and it supports transaction scale data is not universal ... See full document