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Banking
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What is Banking?

Banking sits at the center of modern economic life, making it a recurring subject across business, finance, law, and even education courses. Students write about it to understand how financial institutions manage money, extend credit, serve customers, and absorb risk. The topic carries academic weight because banking systems connect individual transactions to national and global economies, meaning decisions made by institutions and regulators ripple outward in ways that touch nearly every sector. The subject also raises questions about ethics, regulation, and access to financial services, particularly in developing countries where profitable and sustainable banking models are harder to establish.

The papers archived here reflect a wide range of approaches. Comparative analyses set institutions like the US Federal Reserve alongside the European Central Bank to examine policy differences. Case-study work looks at specific companies such as Capital One or applies frameworks like credit risk management to real institutions like Wells Fargo. Other papers take a historical angle, tracing banking's roots through periods such as the Late Middle Ages and the Renaissance. Technology and digital transformation appear frequently, with multiple papers examining e-banking and electronic commerce. Some essays address ethics directly, evaluating business codes of conduct, while others explore banking in the context of international development law and finance law.

A strong essay on banking begins with a clearly scoped thesis — arguing a specific claim about risk, regulation, technology, or institutional behavior rather than simply describing how banks work. Evidence drawn from financial data, regulatory frameworks, and real company cases tends to carry the most weight. The most common pitfall is treating banking as a monolithic industry; effective essays distinguish between retail banking, central banking, and investment or development banking, and they stay consistent about which context they are analyzing throughout.

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Research Paper Doctorate
Career transition from hospitality management to finance through graduate study
¶ … United States from Nigeria in order to add to my life and career experience. I began my venture by joining the United States Navy. My main motivation for this was to raise the necessary funds to enroll in a college.
Essay Doctorate
Five macroeconomic objectives governments seek to achieve
In each economy, the government always put forward some five macroeconomic objectives, which will help in keeping track of the economic growth. Increased economic growth acts as an agent for increased living standard which is always the aim of every government. Unemployment acts as a socio-economic problem in most countries in UK; consequently, the government in making life for its people, always seeks for ways of increasing the employment rates. During the second quarter of 2012, the GDP of the United Kingdom contracted 0.7 percent over the previous quarter. GDP growth rate of UK has always averaged 0.6 percent between 1955 and 2012. The real estate sector has become vibrant. Property ownership among UK residents has equally gone up (Langdana 2009).
Paper Doctorate
Mobile commerce applications, benefits, and social impact
Research Plan: Mobile Commerce (m-Commerce)
Research Paper Doctorate
Liberalism and freedom in National Treasure
The movie National Treasure has a liberalism that captures the passion of the founding fathers of the United States, specifically their pursuit of life, liberty, and the pursuit of happiness.
Research Paper Undergraduate
Educational and economic development strategy for Kava island nation
Implementation and Ethical Considerations
Essay Doctorate
Multi-channel mobile payment system with multiple payment gateway integration
In this project, I present a product extension-an extension on the existing mobile payment technologies and modules through the incorporation of a multi-channel (USSD,NFC,2D Barcode RFID,WAP) enabled Mobile Payment System with multiple payment gateway integration (online).Corporate Social Responsibility emerged as a key component of such project. All the development are also discussed and the related statistics
Paper Doctorate
Derivatives, corporate culture, and the ethics of the banking industry meltdown
Ethical and Financial Risks of Derivatives
Essay Doctorate
Big data analytics and enterprise decision-making in modern organizations
The level of uncertainty and risk that pervade many enterprises today is growing, as the dynamics and economics of markets are changing rapidly. The many rapid, turbulent structural changes in industries is also leading to a greater reliance on analytics and the nascent area of Big Data as well. The potential of this second area, Big Data, is in determining patterns in massive data sets that have in many cases been collected for decades within enterprises. The abundance of data within enterprises, when combined with Big Data aggregation and analytics techniques, can be used for drastically reducing risk and uncertainty in even the most challenging and fast-moving industries. Big Data is being hyped heavily by analytics systems and enterprise application providers as well, as this category of software allows for the use of long-standing analytics and business intelligence (BI) tools expanded supporting larger data sets. Many companies today are working to create enterprise-wide platforms for managing massive data sets, many of them integrating legacy and 3rd aprty databases many of which have never been integrated into a broader platform strategy before (Jacobs, 2009). These larger data sets and their inherent complexity make the overall analysis, aggregation, creation of taxonomies and customizing of reports challenging and difficult to achieve with the baseline or current set of analytics and BI tools available today however. The continual evolution of these applications and the fine-tuning of specific aggregation technologies including Hadoop and Map Reduce (Jacobs, 2009) have also contributed to making Big Data a more strategic foundation fro decision making. Enterprises are facing greater time and cost constraints than ever before, which also leads to the create and continually invest in larger data sets, analytics, BI and advanced reporting technologies all orchestrated to make the most of the terabytes of legacy data companies have (Chisholm, 2009). The rapid development of analytics, BI and data reporting platforms and tools has led to a level of innovation in enterprise software that is making it possible for enterprises to get more insights from the terabytes of data they have been collecting for decades. This category of software tools include analytics, BI, data visualization, product lifecycle data and predictive analytics all orchestrated to create a common platform for reducing risk while bringing greater intelligence into an organization (Ericson, 2010). As is the case with any high growth enterprise software category, there is an abundance of hype surrounding what these analytics and BI platforms and tools are and aren't capable of. The tendency to overlook the very difficult processes to extracting, transferring and loading (ETL) data from legacy systems and creating a highly effective ecosystem of data is very expensive for companies who have never attempted this before. Further, the methodologies needed for consistently and accurately capturing the data within a given enterprise require a level of discipline that many companies are lacking in their core process areas (Jacobs, 2009). Simply put, it is very hard work to capture all the heterogeneous sources of data throughout an enterprise, from the legacy systems to the 3rd party databases, and then perform ETL functions on them in order to create a new system of record for the entire organization to make use of (Ericson, 2010). Yet for organizations to capitalize on the potential that exists from these many diverse forms of information, intelligence and insight throughout their businesses, they must take the time and effort to create a unified, highly integrated single system of record to galvanize their Big Data strategies together (Jacobs, 2009). The objective of this analysis is to provide the arguments for and against having Big Data included in the strategic decision-making process within an enterprise. The strengths are presented first, followed by the weaknesses of this approach to harnessing data throughout an enterprise. The strengths and weaknesses are next compared and an assessment provided. One of the most prevalent technologies used for accomplishing Big Data analytics and intelligence are MapReduce and Hadoop, two aggregation technologies that can compress terabytes of data into taxonomies and quickly analyze them (Jacobs, 2009).
Essay Doctorate
Congressional motivations behind the Bankruptcy Reform Act of 2005
When an individual or a firm comes to a financial situation where its assets are unable to cover the debt or liabilities and there is no capital or asset that can be liquidated to pay the debt the firm or person becomes insolvent. Formerly there were prison sentences for debtors, but the laws from the medieval periods have been amended. In the United States the person or firm that reaches the stage of bankruptcy can file for an absolute dilation of credit by being declared bankrupt. Legal motions have to be made in the appropriate court of law that deals with the issue. This is available to both the corporate and individual debtors with the first legislation coming to be passed in 1800. Individuals incurring debts from the lenders have put the lenders in a spot by taking recourse to bankruptcy.
Paper Doctorate
Blue Bank's implementation of remote deposit capture technology
This is a three-page paper that offers a case analysis and a project integration analysis. The case is on Blue Bank, which is considering investing in remote deposit capture technology. This technology allows businesses to scan checks to a secure web portal, for immediate deposit. Remote deposit capture technology saves businesses time and effort making deposits in person.