977 resultados para Default risk


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In many eurozone countries, domestic banks often hold more than 20% of domestic public debt, which is an unsatisfactory situation given that banks are highly leveraged and that sovereign debt is inherently subject to default risk within the euro area. This paper by Daniel Gros finds, however, that the relative concentration of public debt on bank balance sheets is not just a result of the euro crisis, for there are strong additional incentives for banks in some countries to increase their sovereign. His contribution discusses a number of these regulatory incentives – the most important of which is specific to the euro area – and explores ways in which euro area banks can be weaned from massive investments in government bonds.

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Cikkünkben a vállalkozók külső finanszírozásának modelljét terjesztjük ki arra az - irodalom által eddig nem tárgyalt - esetre, amikor a vállalkozónak van nem fizető vevője. Szerződéselméleti megközelítésünkben a vállalkozó hitelképességére vonatkozó információ aszimmetrikus a tranzakcióban részt vevő felek között, s ez morális kockázatnak ad teret. Megfigyelhető, hogy ilyenkor a pontosan fizető vevők számára is hitelszűke lép fel. A vállalkozó és a finanszírozó közötti optimális szerződés nem fizető vevő hatására további hitelszűkösséget generál. Két esetet vizsgálunk: az egyikben a vállalkozó információs előnyben van a vevő nemfizetésére vonatkozóan, a másikban nincs ilyen előny. A két modellváltozat alapján információs paradoxon jellemzi a kialakuló finanszírozási helyzetet: a vállalkozó kisebb összegű hitelhez jut az említett információs előnye esetén, mint amikor közte és a finanszírozó között szimmetrikus az információ. A modell azt a - magyar kis- és középvállalkozóknál látott - jelenséget írja le, amikor nem transzparens a szállító-vevő viszonya, és a finanszírozó bank e miatt az információs hátrány miatt kevesebb hitelt nyújt kis- és középvállalati ügyfeleinek. _____ The model of external financing of the firm is extended here to cases where there may be defaults on account receivables. Information asymmetry between entrepreneur and lender on a firm's creditworthiness leads to moral hazard and credit rationing, even in the absence of default risk. The authors show an optimal debt contract that formulates the situation, and focus on two cases: where the entrepreneur has an information advantage on defaults on receivables, and where the information is symmetric. A comparison of these cases revealed a paradoxical knowledge issue in external financing: a better informed entrepreneur may be able to afford a smaller financing ability. The model describes a frequent phenomenon in small businesses, when the relationship between buyer and seller lacks transparency, and lenders offer lower amount of lending to small and medium-sized enterprises.

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A monetáris integráció központi szereplője a Közösség jegybankja. A közös valuta értékállóságának közvetlenül fő meghatározója a jegybank. Mozgásterét azonban több tényező alakítja. E tanulmány az intézményi és stratégiai, a tagállami (decentralizált fiskális) és a pénzpiaci környezet függvényében vizsgálja az Európai Központi Bank (ECB) lehetőségeit és monetáris politikájának hatásosságát. / === / The efficiency of the European Economic and Monetary Union is a big dilemma of European applied economics. The first part introduces the monetary policy made by ECB. Rates and objectives are the framework of efficiency analysis. The second part details the common pool resource problem in the community of EMU countries, and describes the prisoner's dilemma of indebting in a currency community. The EMU practice shows free riding behavior of many member states what generally causes higher default risks. The increasing indebtedness shows dysfunction too, as the ECB must adjust the interest rate to the higher default risk which means cost premiums for fiscally disciplined countries as well. The third part analyses the efficiency of the ECB through the standards of monetary transmission. The updated criteria can explain any success or failure of the ECB in a not perfectly homogeneous community. The measures of transmission used in the study are the way of financing (banks vs. market), terms of financing, structure of the banking sector, private sector indebtedness, structure of savings and wealth, price elasticity, interest rate elasticity, wage elasticity. They show that the single monetary policy can create tension in the community not only because of the fiscal differences but also due to money market discrepancies.

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I study local shocks to consumer credit supply arising from the opening

of bank-related retail stores. Bank-related store openings coincide with

sharp increases in credit card placements in the neighborhood of the

store, in the months surrounding the store opening, and with the bank

that owns the store. I exploit this relationship to instrument for new

credit cards at the individual level, and find that obtaining a new

credit card sharply increases total borrowing as well as default risk,

particularly for risky and opaque borrowers. In line with theories of

default externality, I observe that existing lenders react to the

increased consumer borrowing and associated riskiness by contracting

their own supply. In particular, in the year following the issuance of a

new credit card, banks without links to stores reduce credit card limits

by 24-51%, offsetting most of the initial increase in total credit

limits.

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We provide theory and evidence to complement Choi's [RFS, 2013] important new insights on the returns to equity in `value' firms. We show that higher future earnings growth ameliorates the value-reducing effect of leverage and, because the market for earnings is incomplete, reduces the earnings-risk sensitivity of the default option. Ceteris paribus, a levered firm with low (high) earnings growth is more sensitive to the first (second) of these effects thus generating higher (lower) expected returns. We demonstrate this by modeling equity as an Asian-style call option on net earnings and find significant empirical support for our hypotheses.

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We study the asset pricing implications of an endowment economy when agents can default on contracts that would leave them otherwise worse off. We specialize and extend the environment studied by Kocherlakota (1995) and Kehoe and Levine (1993) to make it comparable to standard studies of asset pricillg. We completely charactize efficient allocations for several special cases. We illtroduce a competitive equilibrium with complete markets alld with elldogellous solvency constraints. These solvellcy constraints are such as to prevent default -at the cost of reduced risk sharing. We show a version of the classical welfare theorems for this equilibrium definition. We characterize the pricing kernel, alld compare it with the one for economies without participation constraints : interest rates are lower and risk premia can be bigger depending on the covariance of the idiosyncratic and aggregate shocks. Quantitative examples show that for reasonable parameter values the relevant marginal rates of substitution fali within the Hansen-Jagannathan bounds.

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In this paper, we extend the debate concerning Credit Default Swap valuation to include time varying correlation and co-variances. Traditional multi-variate techniques treat the correlations between covariates as constant over time; however, this view is not supported by the data. Secondly, since financial data does not follow a normal distribution because of its heavy tails, modeling the data using a Generalized Linear model (GLM) incorporating copulas emerge as a more robust technique over traditional approaches. This paper also includes an empirical analysis of the regime switching dynamics of credit risk in the presence of liquidity by following the general practice of assuming that credit and market risk follow a Markov process. The study was based on Credit Default Swap data obtained from Bloomberg that spanned the period January 1st 2004 to August 08th 2006. The empirical examination of the regime switching tendencies provided quantitative support to the anecdotal view that liquidity decreases as credit quality deteriorates. The analysis also examined the joint probability distribution of the credit risk determinants across credit quality through the use of a copula function which disaggregates the behavior embedded in the marginal gamma distributions, so as to isolate the level of dependence which is captured in the copula function. The results suggest that the time varying joint correlation matrix performed far superior as compared to the constant correlation matrix; the centerpiece of linear regression models.

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This paper develops a reduced form three-factor model which includes a liquidity proxy of market conditions which is then used to provide implicit prices. The model prices are then compared with observed market prices of credit default swaps to determine if swap rates adequately reflect market risks. The findings of the analysis illustrate the importance of liquidity in the valuation process. Moreover, market liquidity, a measure of investors. willingness to commit resources in the credit default swap (CDS) market, was also found to improve the valuation of investors. autonomous credit risk. Thus a failure to include a liquidity proxy could underestimate the implied autonomous credit risk. Autonomous credit risk is defined as the fractional credit risk which does not vary with changes in market risk and liquidity conditions.

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In this thesis we are interested in financial risk and the instrument we want to use is Value-at-Risk (VaR). VaR is the maximum loss over a given period of time at a given confidence level. Many definitions of VaR exist and some will be introduced throughout this thesis. There two main ways to measure risk and VaR: through volatility and through percentiles. Large volatility in financial returns implies greater probability of large losses, but also larger probability of large profits. Percentiles describe tail behaviour. The estimation of VaR is a complex task. It is important to know the main characteristics of financial data to choose the best model. The existing literature is very wide, maybe controversial, but helpful in drawing a picture of the problem. It is commonly recognised that financial data are characterised by heavy tails, time-varying volatility, asymmetric response to bad and good news, and skewness. Ignoring any of these features can lead to underestimating VaR with a possible ultimate consequence being the default of the protagonist (firm, bank or investor). In recent years, skewness has attracted special attention. An open problem is the detection and modelling of time-varying skewness. Is skewness constant or there is some significant variability which in turn can affect the estimation of VaR? This thesis aims to answer this question and to open the way to a new approach to model simultaneously time-varying volatility (conditional variance) and skewness. The new tools are modifications of the Generalised Lambda Distributions (GLDs). They are four-parameter distributions, which allow the first four moments to be modelled nearly independently: in particular we are interested in what we will call para-moments, i.e., mean, variance, skewness and kurtosis. The GLDs will be used in two different ways. Firstly, semi-parametrically, we consider a moving window to estimate the parameters and calculate the percentiles of the GLDs. Secondly, parametrically, we attempt to extend the GLDs to include time-varying dependence in the parameters. We used the local linear regression to estimate semi-parametrically conditional mean and conditional variance. The method is not efficient enough to capture all the dependence structure in the three indices —ASX 200, S&P 500 and FT 30—, however it provides an idea of the DGP underlying the process and helps choosing a good technique to model the data. We find that GLDs suggest that moments up to the fourth order do not always exist, there existence appears to vary over time. This is a very important finding, considering that past papers (see for example Bali et al., 2008; Hashmi and Tay, 2007; Lanne and Pentti, 2007) modelled time-varying skewness, implicitly assuming the existence of the third moment. However, the GLDs suggest that mean, variance, skewness and in general the conditional distribution vary over time, as already suggested by the existing literature. The GLDs give good results in estimating VaR on three real indices, ASX 200, S&P 500 and FT 30, with results very similar to the results provided by historical simulation.

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For participants in defined contribution (DC) plans who refrain from exercising investment choice, plan contributions are invested following the default investment option of their respective plans. Since default investment options of different plans vary widely in terms of their benchmark asset allocation, the most important determinant of investment performance, participants enrolled in these options face significantly different wealth outcomes at retirement. This paper simulates the terminal wealth outcomes under different static asset allocation strategies to evaluate their relative appeal as default investment choice in DC plans. We find that strategies with low or moderate allocation to stocks are consistently outperformed in terms of upside potential of exceeding the participant’s wealth accumulation target at retirement as well as downside risk of falling below that target outcome by aggressive strategies whose allocation to stocks approach 100%. The risk of extremely adverse wealth outcomes for plan participants also does not appear to be very sensitive to asset allocation. Our evidence suggests the appropriateness of strategies heavily tilted towards stocks to be nominated as default investment options in DC plans unless plan providers emphasize predictability of wealth outcomes over adequacy of retirement wealth.

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The costs of work-related crashes In Australia and overseas, fleet safety or work-related road safety is an issue gaining increased attention from researchers, organisations, road safety practitioners and the general community. This attention is primarily in response to the substantial physical, emotional and economic costs associated with work-related road crashes. The increased risk factors and subsequent costs of work-related driving are also now well documented in the literature. For example, it is noteworthy that research has demonstrated that work-related drivers on average report a higher level of crash involvement compared to personal car drivers (Downs et al., 1999; Kweon and Kockelman, 2003) and in particular within Australia, road crashes are the most common form of work-related fatalities (Haworth et al., 2000).

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This paper reports on the development and implementation of a self-report risk assessment tool that was developed in an attempt to increase the efficacy of crash prediction within Australian fleet settings. This study forms a part of a broader program of research into work related road safety and identification of driving risk. The first phase of the study involved a series of focus groups being conducted with 217 professional drivers which revealed that the following factors were proposed to influence driving performance: Fatigue, Knowledge of risk, Mood, Impatience and frustration, Speed limits, Experience, Other road users, Passengers, Health, and Culture. The second phase of the study involved piloting the newly developed 38 item Driving Risk Assessment Scale - Work Version (DRAS-WV) with 546 professional drivers. Factor analytic techniques identified a 9 factor solution that was comprised of speeding, aggression, time pressure, distraction, casualness, awareness, maintenance, fatigue and minor damage. Speeding and aggressive driving manoeuvres were identified to be the most frequent aberrant driving behaviours engaged in by the sample. However, a series of logistic regression analyses undertaken to determine the DRAS-WV scale’s ability to predict self-reported crashes revealed limited predictive efficacy e.g., 10% of crashes. This paper outlines proposed reasons for this limited predictive ability of the DRAS-WV as well as provides suggestions regarding the future of research that aims to develop methods to identify “at risk” drivers.

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Objective: To explore the influencing factors of esophageal cancer in the trunk basin of Dawen river , Shandong province. Methods: A case- control study was carried out: 195 living cases of diagnosed esophageal cancer and 195 controls were matched by age and sex and surveyed by a unified inventory. Results: T he following items could rises the risk of esophageal cancer : hard dry diet, smoke homemade cigarettes, alcohol consumption> 500 ml/ day, relatives with tumor in history ( OR = 51850, OR = 161 158, OR = 111 513, OR = 11 827, respectively ) . While drinking tea may have protective effect against esophageal cancer ( OR = 01 311). Conclusion: The high incidence of esophageal cancer in the area is relative not only to the environment and dietary factors, but also to the family history of esophageal cancer.