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The document is an editorial conclusion for a special issue on "New Theory and Applications of Nonlinear Analysis, Fractional Calculus, and Optimization." It highlights the widespread and significant applications of nonlinear analysis in various fields of mathematics and science. The special issue includes 10 research papers that cover topics such as optimality conditions, fixed point results, determinantal expressions, pricing of credit risk derivatives, pseudo-asymptotically periodic solutions, common fixed points, local unique solvability, finite-time stability, summation and integral representations, and the existence of solutions. The authors express their appreciation to the contributors and reviewers and hope that the papers inspire future research in these areas. [Extracted from the article]

The article presents an annual review from the American Bar Association on federal securities regulation in 2023. It reports regulatory developments including on the securities transaction settlement cycle, electronic data gathering, analysis and retrieval system (EDGAR) filing hours, share repurchase disclosure modernization, and references to credit ratings. It outlines accounting developments and caselaw developments in the U.S. Supreme Court and Courts of Appeals.

The article is devoted to the topical issues of long-term lending to public-private partnership projects in the context of a permanent shortage of budget funds and the financial instability of business entities. The purpose of the study is to highlight the problems of attracting long-term credit resources by partners in the process of implementing joint projects and to outline areas for their solution. To achieve this goal, general scientific research methods and analytical data from the State Statistics Service of Ukraine and the National Bank of Ukraine were used. The article reveals the main problems in the development of the debt financial instruments market, which make partnership projects between the state and business unattractive for investors. It is argued that the possibility of providing long-term loans depends not only on the actions of the bank, but also on the monetary policy of the NBU, which should ensure the introduction of preferential reserve requirements for banks, the provision of irrevocable deposits, the NBU's approval to refinance banks for the implementation of PPP projects, and the introduction of preferential lending by banks to PPP projects. The authors emphasize the priority importance of the state policy on the development of programs for the availability of long-term loans in the process of implementing partnership projects. Given the underdevelopment of financial instruments for public-private partnerships, the author substantiates the need to use innovative instruments – credit derivatives, the effectiveness of which is confirmed by international experience. The article offers a list of the most effective financial instruments that should be used at each stage of the project life cycle. It is concluded that the recommendations provided will ensure that the partners attract the necessary amount of financial resources in the process of long-term project implementation and will allow them to obtain a synergistic effect from such cooperation. [ABSTRACT FROM AUTHOR]

The article describes the main forms of credit derivatives, the evolution of their development and conditions of use. Particular attention is paid to the conditions of protection against credit risk. The authors demonstrate the possibility and expediency of using credit derivatives in the financial practice of Ukrainian companies in the context of transformation of the current legislation. It is established that credit notes, as a form of credit derivatives, are a more reliable financial instrument. From an economic point of view, they are considered to be securities with a certain set of risks and benefits for investors, which should be taken into account when developing a financial strategy for all capital market participants. The subject of the study is the intricacies of using credit derivatives in financial management, with a special emphasis on their role and conditions in modern Ukrainian financial practice. The research methodology includes a critical review of the existing literature combined with an analysis of the current use of credit derivatives in Ukraine. This approach offers a dual perspective that not only summarises the global context but also takes into account the nuances of local implementation. The purpose of this study is to investigate the effectiveness of credit derivatives as financial instruments for risk hedging and profitability optimisation. By examining different types of these instruments, the study aims to draw practical conclusions and provide recommendations for integrating these instruments into financial management practices in Ukraine. The research concludes that credit derivatives offer significant advantages as reliable financial instruments that contribute to risk management and economic development. The paper highlights their potential to positively impact financial market development, especially under conditions that facilitate risk hedging. The findings of the publication support the creation of a specific legislative and regulatory framework that would facilitate the wider introduction and efficient use of credit derivatives in Ukraine. This includes emphasising the need for specific amendments to existing tax codes and financial regulations to create a favourable environment for these instruments.

The article is devoted to the topical issues of long-term lending to public-private partnership projects in the context of a permanent shortage of budget funds and the financial instability of business entities. The purpose of the study is to highlight the problems of attracting long-term credit resources by partners in the process of implementing joint projects and to outline areas for their solution. To achieve this goal, general scientific research methods and analytical data from the State Statistics Service of Ukraine and the National Bank of Ukraine were used. The article reveals the main problems in the development of the debt financial instruments market, which make partnership projects between the state and business unattractive for investors. It is argued that the possibility of providing long-term loans depends not only on the actions of the bank, but also on the monetary policy of the NBU, which should ensure the introduction of preferential reserve requirements for banks, the provision of irrevocable deposits, the NBU's approval to refinance banks for the implementation of PPP projects, and the introduction of preferential lending by banks to PPP projects. The authors emphasize the priority importance of the state policy on the development of programs for the availability of long-term loans in the process of implementing partnership projects. Given the underdevelopment of financial instruments for public-private partnerships, the author substantiates the need to use innovative instruments – credit derivatives, the effectiveness of which is confirmed by international experience. The article offers a list of the most effective financial instruments that should be used at each stage of the project life cycle. It is concluded that the recommendations provided will ensure that the partners attract the necessary amount of financial resources in the process of long-term project implementation and will allow them to obtain a synergistic effect from such cooperation.

Copyright of Contemporary Accounting Research is the property of Canadian Academic Accounting Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This Article addresses two issues with Credit Default Swaps (CDS). First, though bankruptcy courts have correctly intuited that CDS may dictate creditor incentives, they have not fully appreciated how. Disclosure requirements in Chapter 11 are inconsistent with the actual mechanics of CDS, and therefore are unlikely to capture many of the transactions with which courts should be concerned. Second, though CDS function as synthetic debt instruments for performing credits, the economic payouts of CDS and cash bonds can deviate significantly and unpredictably for non-performing credits. To the extent that market participants deem this breakdown in equivalency a defect, rather than a feature, changes should be made to CDS' governing language-ISDA's Credit Derivatives Definitions. In addressing these issues, this Article aims to provide bankruptcy practitioners, market participants, and academics with the tools to analyze CDS, “engineered” transactions, and the implications for (i) regulatory disclosure requirements inside and outside of bankruptcy and (ii) the governing ISDA Credit Derivatives Definitions. First, I provide a detailed primer on the mechanics of CDS, paying particular attention to the auction process. Second, I analyze illustrative historical transactions, including Europcar, Codere, Hovnanian, iHeart, Supervalu, and Windstream. Third, I analyze regulatory and private contractual responses, including (i) the SEC’s recently proposed Rule 10B-1 and finalized Rule 9j-1, (ii) the 2019 ISDA Amendments, and (iii) Windstream provisions. Fourth, I analyze the relevance of engineered transactions to the “good faith” and “notice and hearing” requirements of the Bankruptcy Code. Fifth, I propose responsive amendments to (i) the Bankruptcy Rules’ disclosure requirement and (ii) ISDA’s Credit Derivatives Definitions. [ABSTRACT FROM AUTHOR]

This paper deals with a credit derivative pricing problem using the martingale approach. We generalize the conventional reduced-form credit risk model for a credit default swap market, assuming that the firms' default intensities depend on the default states of counterparty firms and that the stochastic interest rate follows a jump-diffusion Cox–Ingersoll–Ross process. First, we derive the joint Laplace transform of the distribution of the vector process (r t , R t) by applying piecewise deterministic Markov process theory and martingale theory. Then, using the joint Laplace transform, we obtain the explicit pricing of defaultable bonds and a credit default swap. Lastly, numerical examples are presented to illustrate the dynamic relationships between defaultable securities (defaultable bonds, credit default swap) and the maturity date. [ABSTRACT FROM AUTHOR]

Copyright of Jurnal Ilmu Ekonomi Terapan is the property of Universitas Airlangga and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

India is a major contributor to the global warming of the world, but there persists a prevalent lack of understanding of carbon trading (carbon credit derivative) as a commodity tradable on the stock exchange. The study brings into light the predominant drivers that can lead to the sustainable enhancement of efficacy and efficiency of carbon credit trading in India. The key drivers responsible for the sustainable implementation of the carbon credit derivative trading in India are identified and critically examined. The Analytic Hierarchy Process and Best–Worst Method have been used to rank the factors and sub-factors based on the priority (or weights) provided by the industry experts. The results indicate that the risk factors in the carbon credit derivative market are extremely crucial for enhancing sustainable trading of carbon credit derivatives closely followed by the reward and opportunity factors. The study is the first study which analyses the factors that can lead to the sustainable implementation of carbon credit trading in India. The study also contributes to the organizational strategy that carbon securitization would contribute significantly towards their financial as well as ecological sustainability. [ABSTRACT FROM AUTHOR]

We study two credit risk models with occupation time and liquidation barriers: the structural model and the hybrid model with hazard rate. The defaults within the models are characterized in accordance with Chapter 7 (a liquidation process) and Chapter 11 (a reorganization process) of the U.S. Bankruptcy Code. The models assume that credit events trigger as soon as the occupation time (the cumulative time the firm's value process spends below some threshold level) exceeds the grace period (time allowance). The hazard rate model extends the structural occupation time models and presumes that other random factors may also lead to credit events. Both approaches allow the firm to fulfill its obligations during the grace period. We derive new closed-from pricing formulas for credit derivatives containing the (risk-neutral) probability of defaults and credit default swap (CDS) spreads as special cases, which are derived analytically via a spectral expansion methodology. Our method works for any solvable diffusion, such as the geometric Brownian motion (GBM) and several state-dependent volatility processes, including the constant elasticity of variance (CEV) model. It allows us to write the pricing formulas explicitly as infinite series that converges rapidly. We then calibrate our models (assuming that GBM governs the firm's value) to market CDS spreads from the Total Energy company. Our calibration results show that the computations are fast, and the fit is near-perfect. [ABSTRACT FROM AUTHOR]

This article analyzes financial market reactions to the Russia-Ukraine war with a focus on the opening weeks. Markets did not completely anticipate the war, and asset price reactions strengthened from the first week--when there were hopes for a quick resolution--to the second week, when prices generally peaked and began to partially revert to prewar values. Exposure to commodity trade and trade with Russia and Ukraine determined market perceptions of the riskiness of equity and foreign exchange assets. Credit default swap prices on sovereign debt and breakeven inflation rates indicate that markets saw the war as a measurable fiscal risk even for nonbelligerents. (JEL Q02, F51, G15, G32, H56) [ABSTRACT FROM AUTHOR]

Considered among of the main causes of the 2007 financial crisis, the credit risk transfer activities deserve nowadays particular attention. This study discusses the continuous effectiveness of the credit risk transfer activities by investigating their effects on the bank risk, liquidity and profitability before the crisis event and contributes to the recent scarce literature identifying this effect in the post-crisis period. Using models treating this impact on two samples of US commercial banks over the period from 2001 to 2017, the obtained results suggest an overall amplification of the risk incurred by banks notably before the crisis, a decrease of liquid assets hold on balance sheet and, generally an increase of the profitability. The employment of credit derivatives does not exhibit a conclusive result of its impact on the banking stability and performance. Nevertheless, the effect of residential mortgage loans securitization on bank risk appeared to be negative after the crisis, indicating that the securitization of this type of credit can reduce the bank risk in the detriment of a lower profit, in the new regulatory context required by Basel III.

We apply Geometric Arbitrage Theory (GAT) to obtain results in mathematical finance for credit markets, which do not need stochastic differential geometry in their formulation. The remarkable aspect of the GAT is the gauge symmetry, which can be translated to the financial context, by packaging all of the asset model information into a (stochastic) principal fiber bundle. We obtain closed-form equations involving default intensities and loss-given defaults characterizing the no-free-lunch-with-vanishing-risk condition for government and corporate bond markets while relying on the spread-term structure with default intensity and loss-given default. Moreover, we provide a sufficient condition equivalent to the Novikov condition implying the absence of arbitrage. Furthermore, the generic dynamics for an isolated credit market allowing for arbitrage possibilities (and minimizing the total quantity of potential arbitrage) are derived, and arbitrage credit bubbles for both base credit assets and credit derivatives are explicitly computed. The existence of an approximated risk-neutral measure allowing the definition of fundamental values for the assets is inferred through spectral theory. We show that instantaneous bond returns are serially uncorrelated and centered, that the expected value of credit bubbles remains constant for future times where no coupons are paid, and that the variance of the market portfolio nominals is concurrent with that of the corresponding bond deflators. [ABSTRACT FROM AUTHOR]

We analyze the impact of credit default swaps (CDSs) trading on firm investment, long-term debt financing, and valuation. In our model, the firm is endowed with a real option to initiate a project and enhance its future growth. Its creditors have access to CDS contracts that hedge them against default losses. We show that CDS protection increases the firm's pledgable income: that is, the maximum amount of debt it can raise. However, at the same time CDS protection decreases asset growth and impedes project initiation. As a result, CDS trading could reduce firm value, and the negative effects are stronger when the firm is riskier, where shareholders have stronger bargaining power, and growth opportunities are less valuable. Using simulated cross-sections of firms, we find that CDS trading increases corporate default rates and deters investment. Altogether, CDS firms tend to have a lower firm value and more volatile equity returns than non-CDS firms. This paper was accepted by Gustavo Manso, finance. [ABSTRACT FROM AUTHOR]

How can investors unlock the returns on the electric vehicle industry? Available investment choices range from individual stocks to exchange traded funds. We select six representative assets and characterize the time-varying joint distribution of their returns by copula-GARCH models. They facilitate portfolio optimization targeted at a chosen combination of risk and reward. With daily data from 2012 to 2020, we illustrate the models' applicability by building a minimum expected shortfall portfolio and comparing its performance to that of an equally weighted benchmark. Our results should be of interest to investors and risk managers seeking or facing exposure to the electric vehicle sector. [ABSTRACT FROM AUTHOR]

We compare the loan yields of credit derivative (CRD) active bank holding companies (BHCs) with the loan yields of CRD inactive peers over the pre‐crisis, crisis (2008–10), and post‐crisis periods. During the post‐crisis period, protection purchasers report lower yields than their peers, while sellers report yields like those reported by their peers. The relation between the yield and commercial and industrial (C&I) loans is positive and significant during the pre‐ and post‐crisis periods, and CRD activities do not affect this relation. CRD activities are changing the relations between the loan yield and consumer loans, real estate loans, and securitization. [ABSTRACT FROM AUTHOR]

Considered among of the main causes of the 2007 financial crisis, the credit risk transfer activities deserve nowadays particular attention. This study discusses the continuous effectiveness of the credit risk transfer activities by investigating their effects on the bank risk, liquidity and profitability before the crisis event and contributes to the recent scarce literature identifying this effect in the post-crisis period. Using models treating this impact on two samples of US commercial banks over the period from 2001 to 2017, the obtained results suggest an overall amplification of the risk incurred by banks notably before the crisis, a decrease of liquid assets hold on balance sheet and, generally an increase of the profitability. The employment of credit derivatives does not exhibit a conclusive result of its impact on the banking stability and performance. Nevertheless, the effect of residential mortgage loans securitization on bank risk appeared to be negative after the crisis, indicating that the securitization of this type of credit can reduce the bank risk in the detriment of a lower profit, in the new regulatory context required by Basel III. [ABSTRACT FROM AUTHOR]

Copyright of Lecturas de Economia is the property of Universidad de Antioquia, Facultad de Ciencias Economicas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper develops a new time-varying mixture copula, in which the dynamic weights of four distinct copulas are determined by a two-stratum process, to investigate the magnitude of tail dependence in four independent quadrants. In the two-stratum process, the weight of each copula is determined firstly by the relative importance of positive and negative dependence structures, and then by its own past values and adjustment processes. The weighting mechanism is time-varying in each stratum. This new specification is applied to analyze the asymmetric tail dependencies between the stock and exchange rate markets. Empirical results show four interesting findings. First, the quasi-maximum likelihood estimation (QMLE) has a better fitting ability than does the inference function for margins. The relative efficiency of the QMLE is irrespective of marginal specifications. Second, the goodness-of-fit tests of the new time-varying mixture copula are crucially affected by the marginal specifications. Third, estimation methods impact mixture weights. Four distinct tail dependencies are observed, revealing the importance of considering all four tails concurrently, and not just parts of the four tails. Fourth, the asymmetric positive and negative dependencies are significant. Each country shows a similar pattern of asymmetric negative dependence, but a different pattern of asymmetric positive dependence. These empirical findings provide important portfolio allocation implications. [ABSTRACT FROM AUTHOR]

We study the influence of credit default swaps (CDS) trading on the costs of bond intermediation. After CDS initiation, CDS firms pay 12% to 28% (8 to 20 basis points) lower underwriting fees than similar non-CDS firms do. Underwriting fees decline more for riskier issuers and illiquid bonds for which the ability to hedge with CDS is more valuable. In bond offerings, participation by investors facing risk-based regulatory requirements increases after CDS initiation. Our evidence suggests that CDS-driven innovations in risk sharing contribute to the transactional efficiency of the market by reducing the financial intermediation costs of placing bonds. This paper was accepted by Karl Diether, finance. [ABSTRACT FROM AUTHOR]

A credit default swap (CDS) is a credit derivative that can be used as insurance against a reference entity's credit risk, where a reference entity is either a government or [...]

Purpose: This paper aims to study a strategic decision of banks in Thailand to signal their types to the market and derive the optimal credit derivatives contract to guarantee their loans and credibly signal their quality under different economic determinants, namely, the maximum credit risk investment constraint, opportunity cost and opaqueness of the credit derivative market. Design/methodology/approach: Contract theory is deployed to derive the expected payoff of different bank types under different economic and financial constraints. Hence, different bank types offer derivatives contracts to signal their loan quality and resell their loans in the secondary loan markets of Thailand. Findings: The optimal derivatives contract is constructed on a basis of asymmetric information when banks have more private information concerning quality of their loans. A digital credit default swap is an optimal derivatives contract to send credible signal when banks are restricted to the maximum investment constraint. Moreover, profit of banks is reduced, as the optimal derivatives contract is more costly when banks are subjected to positive opportunity cost and opacity of the credit derivatives market. These results depict impact of changes of the maximum credit risk investment constraint on Thai credit derivatives market. Originality/value: The optimal credit derivatives design that signifies bank types and facilitates loan purchase agreement has not been studied in Thai secondary loan markets before. In addition, this study provides insights of banks' strategic decisions to signal their types and transfer risk to risk buyers in Thai markets. [ABSTRACT FROM AUTHOR]

In this paper, we propose a Markov chain model to price basket credit default swap (BCDS) and basket credit-linked note (BCLN) with counterparty and contagion risks. Suppose that the default intensity processes of reference entities and the counterparty are driven by a common external shock as well as defaults of other names in the contracts. The stochastic intensity of the external shock is a Cox process with jumps. We derive recursive formulas for the joint distribution of default times and obtain closed-form premium rates for BCDS and BCLN. Numerical experiments are performed to show how the correlated default risks may affect the premium rates. [ABSTRACT FROM AUTHOR]

This paper studies the valuation of the American call-option under the Heston model in two regimes, i.e., fast-mean reverting and slow-mean reverting regimes. In the case of the European-style option under the Heston model, a closed-form solution for one-dimensional integration can be derived. However, in the case of the American-style option, it is impossible to obtain a general analytic integral equation for the price. By using singular and regular perturbation techniques introduced by Fouque et al. (Multiscale stochastic volatility for equity, interest-rate and credit derivative, Cambridge University Press, Cambridge, 2011) and the maturity randomization method introduced by Carr (Rev Financ Stud 11:597–626, 1998), we provide an approximate analytic solution of the American call-option and describe a numerical scheme to evaluate the value of this solution. Numerical results show that our method is accurate and efficient compared to the finite-difference method and the Longstaff and Schwartz (Rev Financ Stud 14(1):113–147, 2001) method. [ABSTRACT FROM AUTHOR]

The purpose of this study is to identify the factors that may explain the attribution of credit ratings to firms, focusing especially on the impact of derivatives. The gap explored by this research lies in the novelty of analyzing how rating agencies perceive the effects caused by information related to derivatives use by Brazilian publicly-traded companies. In addition, this study shifts the previous findings from stock analysts to rating agencies, reinforcing the discussion about the complexity of derivatives in the credit risk assessment process. This research topic is currently of interest due to the adoption of International Financial Reporting Standard (IFRS) 9 (Accounting Pronouncements Committee - CPC - 48), which came into effect in January of 2018. Based on these rules, the main novelty presented in this article was its verification of the effect of the derivatives used by companies in order to hedge their credit ratings, thus helping to fill the empirical gap that exists in the literature from the area. The results found challenge the theory that the use of hedge derivatives is viewed positively by investors. However, although no significant statistical impact was found on the ratings of companies that use derivatives, it was observed that the companies that use derivatives and have the highest notional values were those that received the best ratings from Moody's. With this we broadened the debate about the complexity of the information linked to derivatives use. In the study, 2,090 ratings attributed to non-financial companies with stocks traded on the Brasil, Bolsa, Balcão [B]³ exchange were examined between 2010 and 2016 by using panel data analysis, which lends robustness to the analysis and findings. Contrary to the central hypothesis of this research, the results presented here show that, in Brazil, companies that use derivative financial instruments for hedging do not receive the best credit ratings from rating agencies. One of the main contributions of this study is the evidence that Standard & Poor's and Moody's were unable to consistently incorporate information related to derivatives use, thus broadening the discussion about the complexity of these financial instruments. [ABSTRACT FROM AUTHOR]

Increment variance reduction techniques are add-ons to Monte Carlo (MC) simulations. They make MC simulations converging faster by repeating the number of simulations with an incremental rate derived from mathematical functions. Besides speeding up MC simulations, the major advantage of increment techniques is their ability to handle large numbers of simulations avoiding memory saturation and overflow which occur when a plain MC simulation is involved in the pricing of multi-name credit derivatives. A trend among authors pricing financial securities with MC simulation has been to choose Quasi-Monte Carlo (QMC) methods using deterministic sequences instead of MC methods involving pseudorandom generators such as congruential generator and Mersenne twister. The Increment family models circumvent the constraint of identifying the optimal QMC sequence to price a given security by using a common generator such as Matlab-LCG-Xor RNG and determining the optimal mathematical function of incrementation of MC simulations that will make the pricing of the security adequate. Market participants in need of selecting a reliable numerical method for pricing complex financial securities such as multi-name credit derivatives will find our paper appealing. [ABSTRACT FROM AUTHOR]

In this paper, we introduce the use of interacting particle systems in the computation of probabilities of simultaneous defaults in large credit portfolios. The method can be applied to compute small historical as well as risk-neutral probabilities. It only requires that the model be based on a background Markov chain for which a simulation algorithm is available. We use the strategy developed by Del Moral and Garnier in (Ann. Appl. Probab. 15:2496–2534, 2005) for the estimation of random walk rare events probabilities. For the purpose of illustration, we consider a discrete-time version of a first passage model for default. We use a structural model with stochastic volatility, and we demonstrate the efficiency of our method in situations where importance sampling is not possible or numerically unstable.

We establish Markovian models in the Heath, Jarrow, and Morton (1992) paradigm that permit an exponential affine representation of riskless and risky bond prices while offering significant flexibility in the choice of volatility structures. Estimating models in our family is typically no more difficult than in the workhorse affine family. Besides diffusive and jump-induced default correlations, defaults can impact the credit spreads of surviving firms, allowing for a greater clustering of defaults. Numerical implementations highlight the importance of incorporating interest rate–credit spread correlations, credit spread impact factors, and the full credit spread curve when building a unified framework for pricing credit derivatives. [ABSTRACT FROM PUBLISHER]

Standard credit risk models cannot explain the observed clustering of default, sometimes described as “credit contagion.” This paper provides the first empirical analysis of credit contagion via direct counterparty effects. We find that bankruptcy announcements cause negative abnormal equity returns and increases in CDS spreads for creditors. In addition, creditors with large exposures are more likely to suffer from financial distress later. This suggests that counterparty risk is a potential additional channel of credit contagion. Indeed, the fear of counterparty defaults among financial institutions explains the sudden worsening of the credit crisis after the Lehman bankruptcy in September 2008. [ABSTRACT FROM AUTHOR]

The probability of extreme default losses on portfolios of U.S. corporate debt is much greater than would be estimated under the standard assumption that default correlation arises only from exposure to observable risk factors. At the high confidence levels at which bank loan portfolio and collateralized debt obligation (CDO) default losses are typically measured for economic capital and rating purposes, conventionally based loss estimates are downward biased by a full order of magnitude on test portfolios. Our estimates are based on U.S. public nonfinancial firms between 1979 and 2004. We find strong evidence for the presence of common latent factors, even when controlling for observable factors that provide the most accurate available model of firm-by-firm default probabilities. [ABSTRACT FROM AUTHOR]

We use the information in collateralized debt obligations (CDO) prices to study market expectations about how corporate defaults cluster. A three-factor portfolio credit model explains virtually all of the time-series and cross-sectional variation in an extensive data set of CDX index tranche prices. Tranches are priced as if losses of 0.4%, 6%, and 35% of the portfolio occur with expected frequencies of 1.2, 41.5, and 763 years, respectively. On average, 65% of the CDX spread is due to firm-specific default risk, 27% to clustered industry or sector default risk, and 8% to catastrophic or systemic default risk. [ABSTRACT FROM AUTHOR]

We test the theoretical equivalence of credit default swap (CDS) prices and credit spreads derived by Duffie (1999), finding support for the parity relation as an equilibrium condition. We also find two forms of deviation from parity. First, for three firms, CDS prices are substantially higher than credit spreads for long periods of time, arising from combinations of imperfections in the contract specification of CDSs and measurement errors in computing the credit spread. Second, we find short-lived deviations from parity for all other companies due to a lead for CDS prices over credit spreads in the price discovery process. [ABSTRACT FROM AUTHOR]

The article focuses on the disappearance of the premium in interest rates charged to Japanese banks (Japan premium) in the intrabank market during the Japanese banking crisis of 1997-98. It states that low earnings, deflation, and newly emerged nonperforming loans revealed the vulnerability of Japanese banks by the end of 2001. It mentions that a credit derivative, Credit Default Swaps (CDS), can be utilized as a direct measure of the risk of default instead of using the Japan premium. It comments that the CDS market started in the early 1998s and show bank credit default premiums despite the disappearance of the Japanese premium in the interbank market.

Credit derivatives are among the fastest growing contracts in the derivatives market. We present a simple, easily implementable model to study the pricing and hedging of two widely traded default-triggered claims: default swaps and default baskets. In particular, we demonstrate how default correlation (the correlation between two default processes) impacts the prices of these claims. When we extend our model to continuous time, we find that, once default correlation has been taken into consideration, the spread dynamics have very little explanatory power. [ABSTRACT FROM AUTHOR]

Motivated by recent financial crises in East Asia and the United States where the downfall of a small number of firms had an economy-wide impact, this paper generalizes existing reduced-form models to include default intensities dependent on the default of a counterparty. In this model, firms have correlated defaults due not only to an exposure to common risk factors, but also to firm-specific risks that are termed "counterparty risks." Numerical examples illustrate the effect of counterparty risk on the pricing of defaultable bonds and credit derivatives such as default swaps. [ABSTRACT FROM AUTHOR]

We present a class of flexible and tractable static factor models for the term structure of joint default probabilities, the factor copula models. These high-dimensional models remain parsimonious with paircopula constructions, and nest many standard models as special cases. The loss distribution of a portfolio of contingent claims can be exactly and efficiently computed when individual losses are discretely supported on a finite grid. Numerical examples study the key features affecting the loss distribution and multi-name credit derivatives prices. An empirical exercise illustrates the flexibility of our approach by fitting credit index tranche prices.

Moral hazard is a typical problem of modern economic system, if we consider its a central role in the events leading up to the (financial) crisis of 2008. Therefore, there is a need to better appreciate its nature and its role, if future reforms are to be well designed in order to prevent further crises, default, bankrupt, down the line. Along this perspective, the paper discusses a moral hazard perspective on recent financial crisis, from Enron bankruptcy, to Lehman case, through AIG, Bearn Stern, Citigroup bail out, commenting, eventually, selected rules contained in the Sarbanes Oxley Act issued by the U.S. Government in 2002. The paper, next, comments on recent crisis of four Italian banks and on the bail in recently introduced for European banks. Eventually, the paper focuses on the so-called “free-rider” problem, discussing pro and cons of selected financial instruments (e.g. credit derivatives), while offering from a technical standpoint with the help of an analytical approach.

146 C. Imposing Capital Requirements Special to Systemically Important Financial Institutions Special regulatory standards are arguably needed for banks that are regarded as globally systemically important financial institutions (G-SIBs) as they tend to pose different types and extents of risks and require different regulatory treatment. 38 642 prudential regulatory reforms are targeted changing banks' strategic behaviors so that their essential financial risk-taking can be calibrated at a level appropriate for the bank but also for the wider financial system and economy in which the bank is nested. 75, 100 (2013). 2018-2019 MICRO-PRUDENTIAL REGULATION 721 and brings together the regulator and the financial institution's stakeholders in a more comprehensive governance space for the financial institution. 2018-2019 MICRO-PRUDENTIAL REGULATION 639 RETHINKING THE LAW AND ECONOMICS OF POST-CRISIS MICRO-PRUDENTIAL REGULATION: THE NEED TO INVERT THE RELATIONSHIP OF LAW TO ECONOMICS?. [Extracted from the article]

The article discusses the problem with financial market influence on the border credit through the use of the asset securitization. The authors analyze its nature, functions, types and credit practices of the banks-participants in credit derivatives market. Too much emphasis is focuses on its contradictions affecting the scale of the bank lending.

During the past few years, in the recent post-crisis aftermath, global asset managers are constantly searching new ways to optimize their investment portfolios while financial and banking institutions around the world are exploring new alternatives to better secure their financing and refinancing demands altogether with the enhancement of their risk management capabilities. We will exhibit herewith a comparison between the cash-flow and market-value CDO securitizations as financial markets-based funding, investment and risks mitigation techniques, highlighting certain key structuring and implementation specifics on each of them.

During the past few years, in the recent post-crisis aftermath, global asset managers are constantly searching new ways to optimize their investment portfolios while financial and banking institutions around the world are exploring new alternatives to better secure their financing and refinancing demands altogether with the enhancement of their risk management capabilities. We will exhibit herewith a comparison between the balance-sheet and arbitrage CDO securitizations as financial markets-based funding, investment and risks mitigation techniques, highlighting certain key structuring and implementation specifics on each of them.

During the past few years, in the recent post-crisis aftermath, financial, banking as well as non-financial institutions around the world are exploring new alternatives to better secure their financing and refinancing demands along with the improvement of their risk management capabilities. We will exhibit herewith a theoretical and applied comparison between the true-sale and synthetic ABCP securitizations as financial markets-based funding and risks mitigation techniques, highlighting certain key structuring and implementation specifics, discovered during the research, on each of them.

During the past few years, in the recent post-crisis aftermath, financial and banking institutions around the world are exploring new alternatives to better secure their financing and refinancing demands altogether with the enhancement of their risk management capabilities. We will exhibit herewith a theoretical and applied comparison between the true-sale and synthetic ABS securitizations as financial markets-based funding and risks mitigation techniques, highlighting certain key structuring and implementation specifics, discovered during the research, on each of them.

The impact of the financial crisis has demonstrated the fragility of the banking sector and the need to implement new technologies that would allow not only insurance against the most important credit risk - credit risk, but development of lending segment. In such conditions, transfer of credit risk is an efficient and actual way to diversify the banks exposure for credit risk by the presence of those who are willing to take on some of this risk. Taking of credit risk can be achieved through credit derivatives, securitization and sale of loans, being selected the most advantageous technique for the bank. The current situation of the national banking sector requires solving the problem of bad loans, which, unfortunately, are increasing, by implementing new techniques for credit risk management according with EU directives.