Credit risk and volatility

  • Does higher volatility mean higher risk?

    Anyone who follows the stock market knows that some days market indexes and stock prices move up and other days they move down.
    This is called volatility.
    The more dramatic the swings, the higher the level of volatility—and potential risk..

  • How does credit risk affect liquidity?

    As a consequence of this asset deterioration, more and more depositors will claim back their money.
    The bank will thus call in all loans and thereby reduce aggregate liquidity in the market.
    The main result is therefore that higher credit risk accompanies higher liquidity risk through depositor demand..

  • How is risk related to volatility?

    Volatility is a way to calculate the risk of a particular investment, over a set period of time.
    A highly volatile investment is likely to experience more frequent, and possibly large, upward and downward movements in price than an investment with low volatility..

  • What's the difference between risk and volatility?

    At its simplest, volatility is a way of describing the degree by which share price values fluctuate.
    In volatile periods, share prices swing sharply up and down while in less volatile periods their performance is smoother and more predictable.
    Risk, on the other hand, is the chance of investments declining in value..

  • Why volatility is not a good measure of risk?

    The calculation of volatility makes two big assumptions: first, that returns are normally distributed, and second, that correlations are stable.
    Neither is true.
    A cursory glance at equity return data over very long periods shows that the distribution of returns is subject to both skewness and positive kurtosis..

  • However, volatility isn't an effective measure of long-term risk.
    Commonly represented by standard deviation in finance, volatility is a statistical measure of up and down price fluctuations over time.
    Investments with rapid, dramatic price swings are considered highly volatile.
Credit risk analysts can use forecasts to manage the uncertainty and shock caused by market volatility on Revenue, EBITDA, FFO, and other financial ratios, 

Credit Strategy, Organization, and Portfolio Management

At an average commercial bank, credit-related assets produce about 40 percent of total revenues; credit-related costs, including provisions and write-offs, account for a significant fraction of expenses.
We help clients increase revenue and minimize costs by supporting the development of sound credit-risk strategies, organizational structures, and .

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What is credit risk?

Credit risk is the risk of loss resulting from the borrower failing to make full and timely payments of interest and/or principal.
The key components of credit risk are risk of default and loss severity in the event of default.
The product of the two is expected loss.

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What is market liquidity risk?

Market liquidity risk refers to a widening of the bid–ask spread on an issuer’s bonds.
Lower-quality bonds tend to have greater market liquidity risk than higher-quality bonds, and during times of market or financial stress, market liquidity risk rises.

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What is the difference between credit risk and equity risk?

Credit analysts tend to focus more on the downside risk given the asymmetry of risk/return, whereas equity analysts focus more on upside opportunity from earnings growth, and so on.
The “4 Cs” of credit—capacity, collateral, covenants, and character—provide a useful framework for evaluating credit risk.

A local volatility model, in mathematical finance and financial engineering, is an option pricing model that treats volatility as a function of both the current asset level mwe-math-element> and of time mwe-math-element>.
As such, it is a generalisation of the Black–Scholes model, where the volatility is a constant.
Local volatility models are often compared with stochastic volatility models, where the instantaneous volatility is not just a function of the asset level mwe-math-element> but depends also on a new global
randomness coming from an additional random component.

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