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Benefits and detractors of credit risk


The objective of this research is to examine the control of credit risk threat in financial institutions. Credit risk control in financial institutions starts with the organization of sound lending principles and an efficient structure for handling threats (Jorion, 1997). Guidelines, industry-specific requirements and recommendations, together with risk focus boundaries are designed under the guidance of risk control committees and departments (Bluhm, Overbeck & Wagner, 2016).

Credit risk, also known as counterparty threat is the possibility of loss due to a debtor’s non-repayment of a loan or other history of credits (either the principal or interest (coupon) or even both). Also, credit risk threat is most simply defined as the potential that a financial loan client or counterparty won’t succeed to meet their responsibilities with respect to agreed terms.

In most financial institutions, financial loans are the biggest and most obvious source of credit rating threat. However, other sources of credit risk exist throughout other sections and products of a bank. They consist of actions in the financial and trading books, and those both on and off the balance sheet. Banks are progressively experiencing credit risk threat or counterparty threat in various financial instruments they offer other than financial loans. These consist of bankers’ acceptances, interbank dealings, trade financing, forex trading dealings, economical futures trading, trades, ties, stocks, options and the agreement of transactions.

Credit risk research (finance risk research, loan default rate analysis) and credit risk control are important to banks which provide economical loans to businesses and individuals. Credit risk can occur for various reasons: bank mortgages (or home loans), automobile purchase economical situation, credit card buys, installment purchases, and so on. Credit loans and trading facilities are situations that have the danger of leading to losses due to defaults. To know the danger level of credit users, credit providers normally collect large amount of information on debtors. Mathematical techniques can be used to analyze or determine threat stages involved in credits, economic situations, and economical loans, thus standard threat stages. While banks have faced prolems over the years for a multitude of factors, the major cause of serious banking problems continues to be proportional to lax credit standards for debtors and counterparties, poor portfolio threat control, lack of attention to changes in economic factors (interest prices, inflation prices, etc.)

In modern times, the flow of credit in global marketplaces has slowed from a glacial pace to a virtual standstill and credit marketplaces threaten to stay that way despite immense amounts of cash being pumped into various economies by their government authorities and central banks around the world. Credit risk is a problem faced by economical institutions all over the entire world and the question mostly asked is “what will it take for financial institutions to regain enough confidence in the economic climate to get credit score marketplaces moving again?”


Both policymakers and writers have placed significant fault for the Panic of 2008 – the international economic trouble that achieved full strength in that year – on over-the-counter (“OTC”) derivatives (Gerding, 2009). In turn, legal and policy reactions to the problems, such as the Dodd-Frank Act, have presented many new limitations on these particular economical equipments. Among other things, the Dodd-Frank Act prevents future government relief of certain organizations that trade in derivatives, requires the main cleaning of many derivatives, and allows government authorities to set new security specifications for types that are excused from those main cleaning specifications (Gerding, 2009).

Yet, a research of both the role of types in the economic problems and the new rules regulating derivatives, must avoid artwork with too wide concepts. Several misunderstandings endanger to mix up both the most serious threats resulting from derivatives and the regulating reaction. A certain varieties of derivatives – especially credit score types – cause particular concerns because of their ability to increase make use of throughout the economic system. Credit derivatives  are a form of mixture, whose value is based on the money risk of another firm or economical instrument (Omarova, 2009) . However, the full economic consequences of the higher make use of from credit score types are often themselves not fully fleshed out. Many commentators have focused on how improved make use of, whether arising from credit score types or otherwise, magnifies the frailty of banking organizations. To be sure, excessively utilized banking organizations represent an important concern.

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Moreover, by linking one standard bank to another, credit score derivatives can increase counterparty threat, or the threat of one party to economical transaction defaulting on its obligations. The web created by banking organizations entering into complex credit score derivatives with one another in series raises the specter of utilized organizations falling like dominoes (Huang & Huang, 2012). The potential incidents of failing banks and other economical firms represents one form of system threat. It was this scenario that apparently animated the extraordinary federal bailout of the insurance giant AIG, which had underwritten hundreds of billions of dollars in credit score derivatives that proved assures to other large banking organizations. The emerging failure of the firm left a myriad of other banking organizations with enormous exposure (Posner, 2009).

Yet this potential domino effect of counterparty risk is but one side of the coin of the consequences of credit score derivatives and their ability to lead to leverage. What the above research, however briefly summarized, fails to capture are the macroeconomic results of credit score derivatives. Writers need to aim to move beyond the research into the counterparty risk of derivatives to explore these macroeconomic results. By allowing banking organizations – those organizations that borrow to lend – to enhance make use of, credit score derivatives can operate to boost the overall amount of assets in markets. This increase in assets can be thought of as helping the overall supply of money in a market, which can have a number of significant economic effects (Posner, 2009). By improving leverage and assets, credit score derivatives can fuel rises in resource costs and even bubbles. Rising resource costs can then mask mistakes in pricing credit score derivatives and in assessing the risk of make use of in the economical state. Furthermore, the use of credit score derivatives by banking institutions can contribute to a cycle of leveraging and deleveraging in the economy.

Advantages of credit risk

Many types of credit rating threats exist, which sometimes are known as in specific terminology. Any improvement in costs associated with a client not paying as decided can be loosely classified as credit rating threat. For example, even if credit cards customer does end up not paying his bill, if the lender has to make selection calls or resort to a selection agency, this increment on price is a version of credit risk. More specifically, “default risk” is the danger that the celebration does not and cannot pay as decided (over and above a simple increment in selection cost) and is sometimes generally known as “counter-party threat.” When the client is a government, credit rating threat is often generally known as “sovereign threat.”

Companies, government authorities and all types of lenders take part in credit ranking research to determine to what level they face credit ranking risk associated with their investment strategies. In with a weight of the pros and cons for making a certain type of investment, firms utilize in-house applications to recommend on reducing and preventing threat (or shifting it elsewhere) or use third party help, like analyzing ranking agencies’ estimates of credit reliability from companies like Standard & Poor’s, Moody’s, Fitch Scores and others. After banks using their models and the advice of others to position customers according to the threat, they apply this knowledge to reduce credit ranking threat.

Creditors use a variety of means to lessen and control credit score threat. One way lenders decrease credit score threat is by using “risk-based pricing,” in which lenders charge higher rates to debtors with more perceived credit score threat. Another way is with “agreements,” whereby lenders apply stipulations to credit, such as debtors must periodically report on their finances, or such that debtors must repay the financing in full after certain events (like changes in the customer’s debt-to-equity ratio or other financial debt ratios). Another method is diversification, which can decrease credit score threat to lenders as well as a diversified client pool is less likely to standard simultaneously, leaving the creditor without hope of recovery. Besides these, many companies utilize credit score insurance or credit score derivatives, such as “credit standard swaps,” in an attempt to transfer threat to other companies.

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In this report we have been able to define credit risk that is faced by financial institutions. These are threats whereby the bank clients can either default in the financial obligations to the bank or the bank having to incur additional costs so as to recover from the client. Credit derivatives have also been looked at. Their effect on interest rates has also been expounded on. Credit risk has also its own advantages. Financial institutions that embrace it and put in place strict strategies to contain it will be prosperous.


Bluhm, C., Overbeck, L., & Wagner, C. (2016). Introduction to credit risk modeling. Crc Press.

Gerding, E. F. (2009). Deregulation pas de deux: Dual regulatory classes of financial institutions and the path to financial crisis in Sweden and the United States. NEXUS, 15, 135.


Huang, J. Z., & Huang, M. (2012). How much of the corporate-treasury yield spread is due to credit risk?. Review of Asset Pricing Studies, 2(2), 153-202.


Jorion, P. (1997). Value at risk (pp. 1-4). McGraw-Hill, New York


Omarova, S. T. (2009). The Quiet Metamorphosis: How Derivatives Changed the’Business of Banking’. University Miami Law Review, 63, 1041.

Posner, R. A. (2009). A failure of capitalism: The crisis of’08 and the descent into depression. Harvard University Press


Accounting Information System

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A  credit union is developing a new AIS. The internal auditors suggest planning the systems development process in accordance with the SDLC concept. The following nine items are identified as major systems development activities that will have to be completed.


  1. Arrange the nine items in the sequence in which they should logically occur.


  1. User specifications
  2. Technical specifications
  3. Systems survey
  4. Programming
  5. System test
  6. Post-implementation planning
  7. Implementation planning
  8. conversion
  9. User procedures and training

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  1. One major activity is to convert data files from the old system to the new one. List three types of file conversion documentation that would be of particular interest to an auditor. (CMA Examination, adapted)


  1. Parallel running
  2. Phased conversion
  3. Direct changeover

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