981 resultados para default penalties
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House File 2196 required the Department of Transportation (DOT) to study the acceptance of electronic payments at its customer service sites and sites operated by county treasurers. Specifically the legislation requires the following: “The department of transportation shall review the current methods the department employs for the collection of fees and other revenues at sites operated by county treasurers under chapter 321M and at customer service sites operated by the department. In conducting its review, the department, in cooperation with the treasurer of state, shall consider providing an electronic payment option for all of its customers. The department shall report its findings and recommendations by December 31, 2008, to the senate and house standing committees on transportation regarding the advantages and disadvantages of implementing one or more electronic payment systems.” This review focused on estimating the costs of providing an electronic payment option for customers of the DOT driver’s license stations and those of the 81 county treasurers. Customers at these sites engage in three primary financial transactions for which acceptance of electronic payments was studied: paying for a driver’s license (DL), paying for a non-operator identification card (ID), and paying certain civil penalties. Both consumer credit cards and PIN-based debit cards were reviewed as electronic payment options. It was assumed that most transactions would be made using a consumer credit card. Credit card companies charge a fee for each transaction for which they are used. The amount of these fees varies among credit card companies. The estimates for credit card fees used in this study were based on the State Treasurer of Iowa’s current credit card contract, which is due to expire in September 2009. Since credit card companies adjust their fees each year, estimates were based on the 2008 fee schedule. There is also a fee for the use of PIN-based debit cards. The estimates for PIN-based debit card transactions were based on information provided by Wells Fargo Merchant Services for current fees charged by debit card networks. Credit and debit card transactions would be processed through vendor-provided hardware and software. The costs would be determined through the competitive bidding process since several vendors provide this function; therefore, these costs are not reflected in this document.
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Credit Derivatives are securities that offer protection against credit or default risk ofbonds or loans. The credit derivatives emerging market has grown rapidly and creditderivatives are widely used. This paper describes the emerging credit derivativesmarket structure. The current market activity is analyzed through elementary pricingdynamics and the study of the term structure of default risk. Focusing on theperformance of credit derivatives in stress situation, including legal and market risks,we discuss the potential consequences of a debt restructuring in a large emergingmarket borrower. The contribution of credit derivatives to the risk sharing in emergingmarkets is also examined.
Where do industrial workers go after plant closure? Survey evidence two years after job displacement
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Major bubble episodes are rare events. In this paper, we examine what factors might cause some asset price bubbles to become very large. We recreate, in a laboratory setting, some of the specific institutional features investors in the South Sea Company faced in 1720. Several factors have been proposed as potentially contributing to one of the greatest periods of asset overvaluation in history: an intricate debt-for-equity swap, deferred payment for these shares, and the possibility of default on the deferred payments. We consider which aspect might have had the most impact in creating the South Sea bubble. The results of the experiment suggest that the company?s attempt to exchange its shares for government debt was the single biggest contributor to the stock price explosion, because of the manner in which the swap affected fundamental value. Issuing new shares with only partial payments required, in conjunction with the debt-equity swap, also had a significant effect on the size of the bubble. Limited contract enforcement, on the other hand, does not appear to have contributed significantly.
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Le méthylphénidate est un stimulant du système nerveux central, proche des amphétamines par son mécanisme d'action, commercialisé depuis les années cinquante, initialement pour le traitement de la narcolepsie et de la fatigue chronique. Son potentiel addictif est connu de longue date: un des premiers cas publiés remonte à 19601). Il est soumis à la Loi fédérale sur les stupéfiants. Reconnu ultérieurement comme un traitement efficace des troubles déficitaires de l'attention avec ou sans hyperactivité (TDA-H) de l'enfant et de l'adolescent, le méthylphénidate (Ritaline®, Concerta®) a vu ses ventes fortement augmenter à partir des années quatre-vingt-dix, d'abord en Amérique du Nord puis en Europe. Le diagnostic de TDA-H pourrait concerner 3 à 5% des moins de dix-huit ans, voire plus selon certaines études. Plus récemment, on a identifié ce trouble chez des adultes, auxquels s'est alors élargi le champ de prescription du médicament. Cet engouement, de loin pas toujours justifié2), pour le méthylphénidate peut faire craindre une recrudescence des abus. L'objectif de cet article est de comparer le potentiel addictif du méthylphénidate à celui d'autres stimulants et de passer en revue la fréquence et les modalités d'abus dans différentes populations. Enfin, les abus de méthylphénidate recensés par le Centre Suisse d'Information Toxicologique (CSIT) entre 1996 et 2009, seules données disponibles en Suisse, sont analysés rétrospectivement.
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We study how relationship lending and transaction lending varyover the business cycle. We develop a model in which relationshipbanks gather information on their borrowers, which allows them toprovide loans for profitable firms during a crisis. Due to the servicesthey provide, operating costs of relationship-banks are higher thanthose of transaction-banks. In our model, where relationship-bankscompete with transaction-banks, a key result is that relationship-banks charge a higher intermediation spread in normal times, butoffer continuation-lending at more favorable terms than transactionbanks to profitable firms in a crisis. Using detailed credit registerinformation for Italian banks before and after the Lehman Brothers'default, we are able to study how relationship and transaction-banksresponded to the crisis and we test existing theories of relationshipbanking. Our empirical analysis confirms the basic prediction of themodel that relationship banks charged a higher spread before the crisis, offered more favorable continuation-lending terms in response tothe crisis, and suffered fewer defaults, thus confirming the informational advantage of relationship banking.
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ABSTRACT : Research in empirical asset pricing has pointed out several anomalies both in the cross section and time series of asset prices, as well as in investors' portfolio choice. This dissertation aims to discover the forces driving some of these "puzzling" asset pricing dynamics and portfolio decisions observed in the financial market. Through the dissertation I construct and study dynamic general equilibrium models of heterogeneous investors in the presence of frictions and evaluate quantitatively their implications for financial-market asset prices and portfolio choice. I also explore the potential roots of puzzles in international finance. Chapter 1 shows that, by introducing jointly endogenous no-default type of borrowing constraints and heterogeneous beliefs in a dynamic general-equilibrium economy, many empirical features of stock return volatility can be reproduced. While most of the research on stock return volatility is empirical, this paper provides a theoretical framework that is able to reproduce simultaneously the cross section and time series stylized facts concerning stock returns and their volatility. In contrast to the existing theoretical literature related to stock return volatility, I don't impose persistence or regimes in any of the exogenous state variables or in preferences. Volatility clustering, asymmetry in the stock return-volatility relationship, and pricing of multi-factor volatility components in the cross section all arise endogenously as a consequence of the feedback between the binding of no-default constraints and heterogeneous beliefs. Chapters 2 and 3 explore the implications of differences of opinion across investors in different countries for international asset pricing anomalies. Chapter 2 demonstrates that several international finance "puzzles" can be reproduced by a single risk factor which captures heterogeneous beliefs across international investors. These puzzles include: (i) home equity preference; (ii) the dependence of firm returns on local and foreign factors; (iii) the co-movement of returns and international capital flows; and (iv) abnormal returns around foreign firm cross-listing events in the local market. These are reproduced in a setup with symmetric information and in a perfectly integrated world with multiple countries and independent processes producing the same good. Chapter 3 shows that by extending this framework to multiple goods and correlated production processes; the "forward premium puzzle" arises naturally as a compensation for the heterogeneous expectations about the depreciation of the exchange rate held by international investors. Chapters 2 and 3 propose differences of opinion across international investors as the potential resolution of several international finance `puzzles'. In a globalized world where both capital and information flow freely across countries, this explanation seems more appealing than existing asymmetric information or segmented markets theories aiming to explain international finance puzzles.
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This article designs what it calls a Credit-Risk Balance Sheet (the risk being that of default by customers), a tool which, in principle, can contribute to revealing, controlling and managing the bad debt risk arising from a company¿s commercial credit, whose amount can represent a significant proportion of both its current and total assets.To construct it, we start from the duality observed in any credit transaction of this nature, whose basic identity can be summed up as Credit = Risk. ¿Credit¿ is granted by a company to its customer, and can be ranked by quality (we suggest the credit scoring system) and ¿risk¿ can either be assumed (interiorised) by the company itself or transferred to third parties (exteriorised).What provides the approach that leads to us being able to talk with confidence of a real Credit-Risk Balance Sheet with its methodological robustness is that the dual vision of the credit transaction is not, as we demonstrate, merely a classificatory duality (a double risk-credit classification of reality) but rather a true causal relationship, that is, a risk-credit causal duality.Once said Credit-Risk Balance Sheet (which bears a certain structural similarity with the classic net asset balance sheet) has been built, and its methodological coherence demonstrated, its properties ¿static and dynamic¿ are studied.Analysis of the temporal evolution of the Credit-Risk Balance Sheet and of its applications will be the object of subsequent works.
Resumo:
This article designs what it calls a Credit-Risk Balance Sheet (the risk being that of default by customers), a tool which, in principle, can contribute to revealing, controlling and managing the bad debt risk arising from a company¿s commercial credit, whose amount can represent a significant proportion of both its current and total assets.To construct it, we start from the duality observed in any credit transaction of this nature, whose basic identity can be summed up as Credit = Risk. ¿Credit¿ is granted by a company to its customer, and can be ranked by quality (we suggest the credit scoring system) and ¿risk¿ can either be assumed (interiorised) by the company itself or transferred to third parties (exteriorised).What provides the approach that leads to us being able to talk with confidence of a real Credit-Risk Balance Sheet with its methodological robustness is that the dual vision of the credit transaction is not, as we demonstrate, merely a classificatory duality (a double risk-credit classification of reality) but rather a true causal relationship, that is, a risk-credit causal duality.Once said Credit-Risk Balance Sheet (which bears a certain structural similarity with the classic net asset balance sheet) has been built, and its methodological coherence demonstrated, its properties ¿static and dynamic¿ are studied.Analysis of the temporal evolution of the Credit-Risk Balance Sheet and of its applications will be the object of subsequent works.
Resumo:
In this work the valuation methodology of compound option written on a downand-out call option, developed by Ericsson and Reneby (2003), has been applied to deduce a credit risk model. It is supposed that the firm has a debt structure with two maturity dates and that the credit event takes place when the assets firm value falls under a determined level called barrier. An empirical application of the model for 105 firms of Spanish continuous market is carried out. For each one of them its value in the date of analysis, the volatility and the critical value are obtained and from these, the default probability to short and long-term and the implicit probability in the two previous probabilities are deduced. The results are compared with the ones obtained from the Geskemodel (1977).
Resting-state temporal synchronization networks emerge from connectivity topology and heterogeneity.
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Spatial patterns of coherent activity across different brain areas have been identified during the resting-state fluctuations of the brain. However, recent studies indicate that resting-state activity is not stationary, but shows complex temporal dynamics. We were interested in the spatiotemporal dynamics of the phase interactions among resting-state fMRI BOLD signals from human subjects. We found that the global phase synchrony of the BOLD signals evolves on a characteristic ultra-slow (<0.01Hz) time scale, and that its temporal variations reflect the transient formation and dissolution of multiple communities of synchronized brain regions. Synchronized communities reoccurred intermittently in time and across scanning sessions. We found that the synchronization communities relate to previously defined functional networks known to be engaged in sensory-motor or cognitive function, called resting-state networks (RSNs), including the default mode network, the somato-motor network, the visual network, the auditory network, the cognitive control networks, the self-referential network, and combinations of these and other RSNs. We studied the mechanism originating the observed spatiotemporal synchronization dynamics by using a network model of phase oscillators connected through the brain's anatomical connectivity estimated using diffusion imaging human data. The model consistently approximates the temporal and spatial synchronization patterns of the empirical data, and reveals that multiple clusters that transiently synchronize and desynchronize emerge from the complex topology of anatomical connections, provided that oscillators are heterogeneous.
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With the beginning of the European Monetary Union (EMU), euro-area sovereign securities¿ adjusted spreads over Germany (corrected from the foreign exchange risk) experienced an increase that caused a lower than expected decline in borrowing costs. The objective of this paper is to study what explains that rising. In particular, if it took place a change in the price assigned by markets to domestic (credit risk and/or market liquidity) or to international risk factors. The empirical evidence supports the idea that a change in the market value of liquidity occurred with the EMU. International and default risk play a smaller role
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The aim of this study was to calibrate the CENTURY, APSIM and NDICEA simulation models for estimating decomposition and N mineralization rates of plant organic materials (Arachis pintoi, Calopogonium mucunoides, Stizolobium aterrimum, Stylosanthes guyanensis) for 360 days in the Atlantic rainforest bioma of Brazil. The models´ default settings overestimated the decomposition and N-mineralization of plant residues, underlining the fact that the models must be calibrated for use under tropical conditions. For example, the APSIM model simulated the decomposition of the Stizolobium aterrimum and Calopogonium mucunoides residues with an error rate of 37.62 and 48.23 %, respectively, by comparison with the observed data, and was the least accurate model in the absence of calibration. At the default settings, the NDICEA model produced an error rate of 10.46 and 14.46 % and the CENTURY model, 21.42 and 31.84 %, respectively, for Stizolobium aterrimum and Calopogonium mucunoides residue decomposition. After calibration, the models showed a high level of accuracy in estimating decomposition and N- mineralization, with an error rate of less than 20 %. The calibrated NDICEA model showed the highest level of accuracy, followed by the APSIM and CENTURY. All models performed poorly in the first few months of decomposition and N-mineralization, indicating the need of an additional parameter for initial microorganism growth on the residues that would take the effect of leaching due to rainfall into account.