Do Capital Structure Models Square with the Dynamics of Payout?

We explore whether theoretically the target leverage and pecking-order models can be reconciled with payout smoothing. Investment absorbs a significant part of income and asset volatility if the firm follows both a payout target and a net debt ratio (NDR) target. A positive (negative) NDR amplifies (dampens) shocks in assets. Slow adjustment toward the NDR target facilitates payout smoothing. Under strict pecking-order financing, income shocks are absorbed primarily by changes in net debt. More payout smoothing implies a stronger negative relation between debt and net income. Shocks to assets in place need not affect current payout. Expected final online publication date for the Annual Review of Financial Economics, Volume 13 is November 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Volatility morphology of asset value and credit spread puzzle

Merton model has provided a classic theoretical framework for explaining credit spreads. This paper extends Merton model by introducing morphology factor of asset value volatility in the model, and conducts empirical studies on the effect of asset volatility morphology on credit spreads in China’s bond market. The results show that asset volatility morphology is economically important and can explain credit spreads well. Furthermore, this paper analyzes the asymmetric influences of monetary policy on credit spreads and asset volatility morphology. This paper points out that the responses of credit spreads and asset volatility morphology to monetary policy are consistent in the tight liquidity environments. To this end, monetary policy and liquidity, which are two factors that have been ignored by classic Merton model but proved to have significant influences on credit spreads, play roles in influencing credit spreads by changing volatility morphology of asset value. Since asset volatility morphology can reflect the change of investors’ expectation on the default probability of asset, the argument mentioned in the credit spread puzzle that the fundamentals related to bond default probability cannot explain credit spreads needs to be reexamined.

Shariah-compliance and IPO underpricing: evidence from Pakistan Stock Exchange

Purpose This study aims to investigate the effect of Shariah-compliant status and Shariah regulation on initial public offering (IPO) underpricing in Pakistan. Design/methodology/approach Besides the ordinary least square’s method, this study used quantile least squares as a robust approach and stepwise regression for further analysis to investigate the underpricing phenomenon in Pakistan. Data of 84 IPOs listed on Pakistan Stock Exchange from January 2000 to December 2018 were collected to determine the impact of Shariah-compliant status and Shariah regulation on IPO underpricing. Findings Results of the study show that Shariah-compliant status has a negative relationship but Shariah regulation has a positive relationship with IPO underpricing. Hence, it is contended that Shariah-compliant firms have lower asset volatility and uncertainty than non-Shariah-compliant firms because of less information asymmetry, resulting in lower underpricing. These Shariah-compliant firms provide signals of high-quality IPOs as they must comply with the strict guidelines issued by the Securities Exchange Commission of Pakistan in addition to being considered as amicable by investors. Further, this study suggests that investors are more attracted to Shariah-compliant firms than non-Shariah-compliant ones. Research limitations/implications This study’s offers limited consideration of nonfinancial and financial characteristics that could influence the decision of investors to subscribe to IPOs. Besides, future studies could consider the screening benchmarks; for instance, debt and cash may explain the intensity of IPO initial return in Pakistan. Originality/value The present work empirically investigated the influence of Shariah-compliant status and Shariah regulation on IPO underpricing in Pakistan’s IPO market, which has been scarcely covered in the existing literature.

On the application of Wishart process to the pricing of equity derivatives: the multi-asset case

Given the inherent complexity of financial markets, a wide area of research in the field of mathematical finance is devoted to develop accurate models for the pricing of contingent claims. Focusing on the stochastic volatility approach (i.e. we assume to describe asset volatility as an additional stochastic process), it appears desirable to introduce reliable dynamics in order to take into account the presence of several assets involved in the definition of multi-asset payoffs. In this article we deal with the multi asset Wishart Affine Stochastic Correlation model, that makes use of Wishart process to describe the stochastic variance covariance matrix of assets return. The resulting parametrization turns out to be a genuine multi-asset extension of the Heston model: each asset is exactly described by a single instance of the Heston dynamics while the joint behaviour is enriched by cross-assets and cross-variances stochastic correlation, all wrapped in an affine modeling. In this framework, we propose a fast and accurate calibration procedure, and two Monte Carlo simulation schemes.

Asset Volatility and Capital Structure: Evidence from Corporate Mergers

We exploit cross-sectional variation in the predictable changes in asset volatility following corporate acquisitions to identify the effect of business risk on capital structure. We find that postmerger changes in leverage and cash holdings are strongly predicted by expected asset volatility changes estimated using premerger information. These capital structure adjustments are partly achieved through the choice of payment method. Our findings provide direct evidence for the coinsurance effect of mergers on debt capacity. More broadly, they suggest that firm risk is a first-order determinant of leverage, consistent with the tradeoff theory of capital structure. Our coefficient estimates imply that a one-standard deviation decline in a firm’s asset volatility corresponds to a 7.5-percentage point increase in leverage. This paper was accepted by Renee Adams, finance.

SECOND-ORDER STOCHASTIC VOLATILITY ASYMPTOTICS AND THE PRICING OF FOREIGN EXCHANGE DERIVATIVES

We consider models for the pricing of foreign exchange derivatives, where the underlying asset volatility as well as the one for the foreign exchange rate are stochastic. Under this framework, singular perturbation methods have been used to derive first-order approximations for European option prices. In this paper, based on a previous result for the calibration and pricing of single underlying options, we derive the second-order approximation pricing formula in the two-dimensional case and we apply it to the pricing of foreign exchange options.

Banks’ Risk Dynamics and Distance to Default

We adapt structural models of default risk to take into account the special nature of bank assets. The usual assumption of lognormally distributed asset values is not appropriate for banks. Typical bank assets are risky debt claims with concave payoffs. Because of the payoff nonlinearity, bank asset volatility rises following negative shocks to borrower asset values. As a result, standard structural models with constant asset volatility can severely understate banks’ default risk in good times when asset values are high. Additionally, bank equity return volatility is much more sensitive to negative shocks to asset values than in standard structural models.