Credit Rationing
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Credit Rationing
Credit rationing is the limiting by lenders of the supply of additional credit to borrowers who demand funds at a set quoted rate by the financial institution. It is an example of market failure, as the price mechanism fails to bring about equilibrium in the market. It should not be confused with cases where credit is simply "too expensive" for some borrowers, that is, situations where the interest rate is deemed too high. With credit rationing, the borrower would like to acquire the funds at the current rates, and the imperfection is the absence of supply from the financial institutions, despite willing borrowers. In other words, at the prevailing market interest rate, demand exceeds supply, but lenders are willing neither to lend enough additional funds to satisfy demand, nor to raise the interest rate they charge borrowers because they are already maximising profits, or are using a cautious approach to continuing to meet their capital reserve requirements. Forms Credit ratio ...
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Credit
Credit (from Latin verb ''credit'', meaning "one believes") is the trust which allows one party to provide money or resources to another party wherein the second party does not reimburse the first party immediately (thereby generating a debt), but promises either to repay or return those resources (or other materials of equal value) at a later date. In other words, credit is a method of making reciprocity formal, legally enforceable, and extensible to a large group of unrelated people. The resources provided may be financial (e.g. granting a loan), or they may consist of goods or services (e.g. consumer credit). Credit encompasses any form of deferred payment. Credit is extended by a creditor, also known as a lender, to a debtor, also known as a borrower. Etymology The term "credit" was first used in English in the 1520s. The term came "from Middle French crédit (15c.) "belief, trust," from Italian credito, from Latin creditum "a loan, thing entrusted to another," from past ...
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Franco Modigliani
Franco Modigliani (18 June 1918 – 25 September 2003) was an Italian-American economist and the recipient of the 1985 Nobel Memorial Prize in Economics. He was a professor at University of Illinois at Urbana–Champaign, Carnegie Mellon University, and MIT Sloan School of Management. Early life and education Modigliani was born on 18 June 1918 in Rome, Lazio, Italy, to the Jewish family of a pediatrician father and a voluntary social worker mother."Franco Modigliani" by Daniel B. Klein and Ryan Daza, inThe Ideological Migration of the Economics Laureates, ''Econ Journal Watch'', 10(3), September 2013, pp. 472-293 He entered university at the age of seventeen, enrolling in the faculty of Law at the Sapienza University of Rome.Parisi, Daniela (2005) "Five Italian Articles Written by the Young Franco Modigliani (1937–1938)", ''Rivista Internazional di Scienze Sociali'', 113(4), pp. 555–557 (in language) In his second year at Sapienza, his submission to a nationwide conte ...
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Federal Reserve
The Federal Reserve System (often shortened to the Federal Reserve, or simply the Fed) is the central banking system of the United States of America. It was created on December 23, 1913, with the enactment of the Federal Reserve Act, after a series of financial panics (particularly the panic of 1907) led to the desire for central control of the monetary system in order to alleviate financial crises. Over the years, events such as the Great Depression in the 1930s and the Great Recession during the 2000s have led to the expansion of the roles and responsibilities of the Federal Reserve System. Congress established three key objectives for monetary policy in the Federal Reserve Act: maximizing employment, stabilizing prices, and moderating long-term interest rates. The first two objectives are sometimes referred to as the Federal Reserve's dual mandate. Its duties have expanded over the years, and currently also include supervising and regulating banks, maintaining the stabili ...
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Subprime Mortgage Crisis
The United States subprime mortgage crisis was a multinational financial crisis that occurred between 2007 and 2010 that contributed to the Financial crisis of 2007–2008, 2007–2008 global financial crisis. It was triggered by a large decline in US home prices after the collapse of a 2000s United States housing bubble, housing bubble, leading to Mortgage loan, mortgage delinquencies, foreclosures, and the devaluation of Mortgage-backed security, housing-related securities. Declines in residential investment preceded the Great Recession and were followed by reductions in household spending and then business investment. Spending reductions were more significant in areas with a combination of high household debt and larger housing price declines. The housing bubble preceding the crisis was financed with Mortgage-backed security, mortgage-backed securities (MBSes) and collateralized debt obligations (CDOs), which initially offered higher interest rates (i.e. better returns) than go ...
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Continuum (theory)
Continuum theories or models explain variation as involving gradual quantitative transitions without abrupt changes or discontinuities. In contrast, categorical theories or models explain variation using qualitatively different states. In physics In physics, for example, the space-time continuum model describes space and time as part of the same continuum rather than as separate entities. A spectrum in physics, such as the electromagnetic spectrum, is often termed as either continuous (with energy at all wavelengths) or discrete (energy at only certain wavelengths). In contrast, quantum mechanics uses quanta, certain defined amounts (i.e. categorical amounts) which are distinguished from continuous amounts. In mathematics and philosophy A good introduction to the philosophical issues involved is John Lane Bell'essayin th''Stanford Encyclopedia of Philosophy'' A significant divide is provided by the law of excluded middle. It determines the divide between intuitionist ...
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Critical Value
Critical value may refer to: *In differential topology, a critical value of a differentiable function between differentiable manifolds is the image (value of) ƒ(''x'') in ''N'' of a critical point ''x'' in ''M''. *In statistical hypothesis testing, the critical values of a statistical test are the boundaries of the acceptance region of the test. The acceptance region is the set of values of the test statistic for which the null hypothesis is not rejected. Depending on the shape of the acceptance region, there can be one or more than one critical value. *In complex dynamics, a critical value Critical value may refer to: *In differential topology, a critical value of a differentiable function between differentiable manifolds is the image (value of) ƒ(''x'') in ''N'' of a critical point ''x'' in ''M''. *In statistical hypothesis ... is the image of a critical point. *In medicine, a critical value or panic value is a value of a laboratory test that indicates a serio ...
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Mean
There are several kinds of mean in mathematics, especially in statistics. Each mean serves to summarize a given group of data, often to better understand the overall value (magnitude and sign) of a given data set. For a data set, the ''arithmetic mean'', also known as "arithmetic average", is a measure of central tendency of a finite set of numbers: specifically, the sum of the values divided by the number of values. The arithmetic mean of a set of numbers ''x''1, ''x''2, ..., x''n'' is typically denoted using an overhead bar, \bar. If the data set were based on a series of observations obtained by sampling from a statistical population, the arithmetic mean is the ''sample mean'' (\bar) to distinguish it from the mean, or expected value, of the underlying distribution, the ''population mean'' (denoted \mu or \mu_x).Underhill, L.G.; Bradfield d. (1998) ''Introstat'', Juta and Company Ltd.p. 181/ref> Outside probability and statistics, a wide range of other notions of mean are o ...
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Uniform Distribution (continuous)
In probability theory and statistics, the continuous uniform distribution or rectangular distribution is a family of symmetric probability distributions. The distribution describes an experiment where there is an arbitrary outcome that lies between certain bounds. The bounds are defined by the parameters, ''a'' and ''b'', which are the minimum and maximum values. The interval can either be closed (e.g. , b or open (e.g. (a, b)). Therefore, the distribution is often abbreviated ''U'' (''a'', ''b''), where U stands for uniform distribution. The difference between the bounds defines the interval length; all intervals of the same length on the distribution's support are equally probable. It is the maximum entropy probability distribution for a random variable ''X'' under no constraint other than that it is contained in the distribution's support. Definitions Probability density function The probability density function of the continuous uniform distribution is: : f(x)=\begin ...
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Variance
In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its population mean or sample mean. Variance is a measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value. Variance has a central role in statistics, where some ideas that use it include descriptive statistics, statistical inference, hypothesis testing, goodness of fit, and Monte Carlo sampling. Variance is an important tool in the sciences, where statistical analysis of data is common. The variance is the square of the standard deviation, the second central moment of a distribution, and the covariance of the random variable with itself, and it is often represented by \sigma^2, s^2, \operatorname(X), V(X), or \mathbb(X). An advantage of variance as a measure of dispersion is that it is more amenable to algebraic manipulation than other measures of dispersion such as the expected absolute deviation; for e ...
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Mean Preserving Spread
In probability and statistics, a mean-preserving spread (MPS) is a change from one probability distribution A to another probability distribution B, where B is formed by spreading out one or more portions of A's probability density function or probability mass function while leaving the mean (the expected value) unchanged. As such, the concept of mean-preserving spreads provides a stochastic ordering of equal-mean gambles (probability distributions) according to their degree of risk; this ordering is partial, meaning that of two equal-mean gambles, it is not necessarily true that either is a mean-preserving spread of the other. Distribution A is said to be a mean-preserving contraction of B if B is a mean-preserving spread of A. Ranking gambles by mean-preserving spreads is a special case of ranking gambles by second-order stochastic dominance – namely, the special case of equal means: If B is a mean-preserving spread of A, then A is second-order stochastically dominant ...
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Limited Liability
Limited liability is a legal status in which a person's financial liability is limited to a fixed sum, most commonly the value of a person's investment in a corporation, company or partnership. If a company that provides limited liability to its investors is sued, then the claimants are generally entitled to collect only against the assets of the company, not the assets of its shareholders or other investors. A shareholder in a corporation or limited liability company is not personally liable for any of the debts of the company, other than for the amount already invested in the company and for any unpaid amount on the shares in the company, if any, except under special and rare circumstances permitting "piercing the corporate veil." The same is true for the members of a limited liability partnership and the limited partners in a limited partnership. By contrast, sole proprietors and partners in general partnerships are each liable for all the debts of the business (unlimited ...
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Probability Of Default
Probability of default (PD) is a financial term describing the likelihood of a default over a particular time horizon. It provides an estimate of the likelihood that a borrower will be unable to meet its debt obligations. PD is used in a variety of credit analyses and risk management frameworks. Under Basel II, it is a key parameter used in the calculation of economic capital or regulatory capital for a banking institution. PD is closely linked to the expected loss, which is defined as the product of the PD, the loss given default (LGD) and the exposure at default (EAD). Overview The probability of default is an estimate of the likelihood that the default event will occur. It applies to a particular assessment horizon, usually one year. Credit scores, such as FICO for consumers or bond ratings from S&P, Fitch or Moodys for corporations or governments, typically imply a certain probability of default. For group of obligors sharing similar credit risk characteristics such as ...
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