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The purpose of this article is to estimate value at risk (VaR) using quantile regression and provide a risk analysis for defaultable bond portfolios.

The method proposed is based on quantile regression pioneered by Koenker and Bassett. The quantile regression approach allows for a general treatment on the error distribution and is robust to distributions with heavy tails.

This article provides a risk analysis for defaultable bond portfolios using quantile regression method. In the proposed model we use information variables such as short‐term interest rates and term spreads as covariates to improve the estimation accuracy. The study also finds that confidence intervals constructed around the estimated VaRs can be very wide under volatile market conditions, making the estimated VaRs less reliable when their accurate measurement is most needed.

Provides a risk analysis for defaultable bond using quantile regression approach.

The purpose of this paper is to estimate the effects of liquidity on corporate bond spreads.

Using a systematic liquidity factor extracted from the yield spreads between on- and off-the-run Treasury issues as a state variable, the authors jointly estimate the default and liquidity spreads from corporate bond prices.

The authors find that the liquidity factor is strongly related to conventional liquidity measures such as bid-ask spread, volume, order imbalance, and depth. Empirical evidence shows that the liquidity component of corporate bond yield spreads is sizable and increases with maturity and credit risk. On average the liquidity spread accounts for about 25 percent of the spread for investment-grade bonds and one-third of the spread for speculative-grade bonds.

The results show that a significant part of corporate bond spreads are due to liquidity, which implies that it is not necessary for credit risk to explain the entire corporate bond spread.

The results show that returns from investments in corporate bonds represent compensations for bearing both credit and liquidity risks.

It is a novel approach to extract a liquidity factor from on- and off-the-run Treasury issues and use it to disentangle liquidity and credit spreads for corporate bonds.

Financial assurance rules, also known as financial responsibility or bonding requirements, foster cost internalization by requiring potential polluters to demonstrate the financial resources necessary to compensate for environmental damage that may arise in the future. Accordingly, assurance is an important complement to liability rules, restoration obligations, and other regulatory compliance requirements. The paper reviews the need for assurance, given the prevalence of abandoned environmental obligations, and assesses the implementation of assurance rules in the United States. From the standpoint of both legal effectiveness and economic efficiency, assurance rules can be improved. On the whole, however, cost recovery, deterrence, and enforcement are significantly improved by the presence of existing assurance regulations.

This study aims to examine the association between fair value accounting and the cost of corporate bonds, proxied by bond yield spread. In addition, this study explores the moderating role of auditor industry expertise at both the national and the city levels.

This study first examines the effect of the use of fair value on yield spread by estimating firm-level regression model, where fair value is the testing variable and yield spread is the dependent variable. To test the differential impact of the three levels of fair value inputs, this paper divides the fair value measures based on the three-level hierarchy, Level 1, Level 2 and Level 3, and replace them as the test variables in the regression model.

This study finds that the application of fair value accounting is generally associated with a higher bond yield spread, primarily driven by Level 3 estimates. The results also show that national-level auditor industry expertise is associated with lower bond yield spreads for Level 1 and Level 3 fair value inputs, whereas the impact of city-level auditor industry expertise on bondholders is mainly on Level 3 fair value inputs.

The paper innovates by exploring the impact of fair value accounting in a setting that extends beyond financial institutions, the traditional area of focus. Moreover, most prior research considers private debt, whereas this study examines public bonds, for which investors are more likely to rely on financial reporting for their information about a firm. Finally, the study differentiates between city- and national-level industry expertise in examining the role of auditors.

This research has several practical implications. First, firms seeking to raise debt capital should consider involving auditors, with either industry expertise or fair value expertise, due to the roles that auditors play in safeguarding the reliability of fair value measures, particularly for Level 3 measurements. Second, from standard-setting and regulatory perspectives, the study’s findings that fair value accounting is associated with higher bond yield spread cast further doubt on the net benefits of applying a full fair value accounting regime. Third, PCAOB may consider enhancing guidance to auditors on Level 2 fair value inputs, to further enhance audit quality. Finally, creditors can be more cautious in interpretating accounting information based on fair value while viewing the employment of auditor experts as a positive signal.

First, the paper extends research on the role of accounting information in public debt contracting. Second, this study adds to the auditing literature about the impact of industry expertise. Finally, and more generally, this study adds to the ongoing controversy on the application of fair value accounting.

A recent study found state bond bank participants continually realize considerable interest cost savings. Savings were calculated as differences in interest costs of bond bank loans and the bond offerings participants would have sold as alternatives to loans, (alternative market offerings). The present evaluation determines the sources of the savings. Savings are generated by not only differences in issue characteristics of bond bank issues and alternative market offerings, but also differential impacts of the same market forces and institutional factors on the interest costs of both types of sales. These findings verify that bond bank issues and alternative market offerings sell in different sub-markets, and confirm municipal bond market segmentation.

Following Ang and Piazzesi’s (2003) study, the authors use an affine term structure model to study the relevance of macroeconomic (domestic and foreign) factors for Peru’s sovereign yield curve in the period from November 2005 to December 2015. The paper aims to discuss this issue.

Risk premia are modeled as time-varying and depend on both observable and unobservable factors; and the authors estimate a vector autoregressive model considering no-arbitrage assumptions.

The authors find evidence that macro factors help to improve the fit of the model and explain a substantial amount of variation in bond yields. However, their influence is very sensitive to the specification model. Variance decompositions show that macro factors explain a significant share of the movements at the short and middle segments of the yield curve (up to 50 percent), while unobservable factors are the main drivers for most of the movements at the long end of the yield curve (up to 80 percent). Furthermore, the authors find that international markets are relevant for the determination of the risk premium in the short term. Higher uncertainty in international markets increases bond yields, although this effect vanishes quickly. Finally, the authors find that no-arbitrage restrictions with the incorporation of macro factors improve forecasts.

To the authors’ knowledge this is the first application of this type of models using data from an emerging country such as Peru.

This paper aims to investigate the long-run financial and environmental performance of corporate green bond issuers, worldwide.

The data includes 259 corporate green bond issuers from 2013 to 2020. The authors adopt the matching approach, using the nearest neighbor method to select the control firms. The event-time approach is used to examine corporate green bond issuers’ long-run stock market performance, and robustness tests are conducted using the calendar-time method. The authors examine green bond issuers’ long-run environmental performance and carbon dioxide (CO₂₎ emissions using difference-in-differences estimations.

In contrast with the earlier long-run event studies, our results reveal that multiple-time issuers, and issuers operating in industries where the natural environment is financially material, perform financially in the long term relative to the control firms. The authors also document that corporate green bond issuers reduce their CO₂ emissions, and improve their resource use efficiency and environmental performance, in the long run.

To the authors’ knowledge, this is the first study that looks at the long-run effect of corporate green bond issuance on firms’ stock market performance. It has the particularity to document that corporate green bond issuance is beneficial for investors and positively affects the environment. Our findings help us understand that firms do not issue green bonds for greenwashing.

The authors aim to investigate the cointegrating relationship of the government bond yields, driven by the common money factors in European Monetary Union (EMU).

By adopting a dynamic ARDL transformation, the paper provides short-/long-term estimates of bond yields convergence before the burst of the current debt crisis. It also investigates how the degree of convergence between bond yields, driven by money factors, is affected in short/long runs.

The findings indicate that the introduction of the common currency has not a uniform effect on the bond yields, and there is a nominal convergence between EMU bond yields based on money market determinants.

The current financial crisis indicates that the EMU bond market convergence was temporary and it can be highly affected by an exogenous shocks and the sentiment of international investors. The findings imply the necessity for a common monetary and fiscal policy in Euro zone countries.

The learning outcomes of this paper is as follows: to review the basic differences between the two evolving bonds, i.e. green vs masala bonds in the Indian capital market; to comprehend the factors that need to be considered in deciding the type of bond to be issued; to assess complexities, such as process, timing, risk and location in relation to the issue of the green bonds; and to understanding the rudiments of bond economics, such as pricing, all-in-cost and yield-to-maturity of bonds and make a comparison of all-in-cost of the Reg-S bond and green bond to Indian Railway Finance Corporation (IRFC).

In September 2017, IRFC, a public sector undertaking registered as a Non-Banking Finance Company with Reserve Bank of India under the administrative control of the Ministry of Railways, was planning to raise US$500m 10-year green bonds from investors in Asia, Europe and the Middle East. The green bond proceeds were proposed to be used for low carbon transport and in this way, contribute significantly to the green initiatives of the Indian Railways. Many companies in India had issued regular bonds without labeling them as green but had used the proceeds of the bond for climate-aligned assets. Therefore, a bigger challenge before the IRFC management was the economics of green bond for getting a nod from the Board of Governors to go ahead. Some preliminary estimates on cost of green bonds were received from few bankers but to see that the terms of green bonds are met eventually, the Director (Finance) developed his own estimate of the cost of the new bonds. The Managing Director and Director (Finance) of IRFC were trying to figure out the economic advantage of green bonds besides its social benefits.

MBA Programme Executive Training.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance.

This study examines the long-term link between fair valuation uncertainty and discounts/premia in closed-end funds. This study argues that, in exploring the close-end funds puzzle, prior research generally omits to consider the uncertainty surrounding the measurement of funds' financial disclosure, as reflected in the fair value hierarchy, when investment specialty differs across funds.

Regressions were employed to explore how the fair value hierarchy affects closed-end funds' discounts/premia when investment specialty differs. The authors also examine the effects pre- and post-2012 to explore if that relationship changes due to the additional disclosure requirements enacted at the end of 2011.

The authors find that the three levels of the fair value hierarchy have effects that vary according to a fund's specialty. For equity specialized funds, Level 3 significantly increases discounts and decreases premia, suggesting the impact of valuation uncertainty that underlies Level 3 estimates; this relationship disappears (decreases in severity) for premia (discount) experiencing funds post-2012. In contrast, Level 1 and Level 2 do not have any significant effect on discounts or premia except that post-2012, Level 2 begins to display discount decreasing effects. For bond specialized funds, no significant association was noted between premia and any of the fair value levels except that post-2012, Level 3 begins to display premium increasing effects. However, results are different for discounts. The authors note that Level 1 valuations significantly increase discounts, but only post-2012; Level 2 valuations significantly decrease discounts (pre- and post-2012), consistent with such estimates incorporating unique and relevant information; and Level 3 valuations do not have a significant effect on discounts.

The results of this study revisit prior evidence and indicate that results about the effects of fair value measurement and the closed-end funds' puzzle are sensitive to the period length being considered and the investment specialty of the fund. The authors also note that additional disclosure regarding Level 3 valuation inputs decreases market concern for valuation uncertainty and increases the liquidity benefits of investing in Level 3 carrying funds.