Exploring the components of credit risk in credit default swaps

In this paper, we test the influence of various fundamental variables on the pricing of credit default swaps. The theoretical determinants that are important for pricing credit default swaps include the risk-free rate, industry sector, credit rating, and liquidity factors. We suggest a linear regression model containing these different variables, especially focusing on liquidity factors. Unlike bond spreads which have been shown to be inversely related to liquidity (i.e., the greater the liquidity, the lower the spread), there is no a priori reason that the credit default swap spread should exhibit the same relationship. This is due to the economic characteristics of a credit default swap compared to a bond. Our empirical result shows that all the fundamental variables investigated have a significant effect on the credit default swap spread. Moreover, our findings suggest that credit default swaps that trade with greater liquidity have a wider credit default swap spread.     

The Asian Financial Crisis and Investors’ Risk Aversion

This paper investigates whether changes in U.S. and Japanese banks’ risk aversion, measured by changes in the relative risk aversion (RRA) coefficient, are associated with the 1997 Asian financial crisis. It finds that an increase in U.S. banks’ risk aversion is unambiguously associated with the Asian crisis, while an increase in Japanese banks’ risk aversion is only weakly associated. The results suggest that, in addition to deteriorating fundamentals of the affected countries, investors’ (banks’) increased risk aversion appears to have reinforced observed capital outflows.     

发行高新技术企业高收益债券的探讨

发行高新技术企业高收益债券有利于培育和发展战略性新兴产业、解决技术创新融资困境、深化金融改革、丰富科技和金融结合的内涵。目前我国发行高新技术企业高收益债券的条件已经具备,时机已经成熟,建议适时推出。与此同时,我国还需要在发行和交易规则、配套制度建设以及推动形成规范统一的债券市场等方面给予前瞻性关注。     

More on Properness: The Case of Mean-Variance Preferences

This paper focuses on the situations where individuals with mean-variance preferences add independent risks to an already risky situation. Pratt and Zeckhauser (Econometrica, 55, 143–154, 1987) define a concept called proper risk aversion in the expected utility framework to describe the situation where an undesirable risk can never be made desirable by the presence of an independent undesirable risk. The assumption of mean-variance preferences allows us to study proper risk aversion in an intuitive manner. The paper presents an economic interpretation for the quasi-concavity of a utility function derived over mean and variance. The main result of the paper says that quasi-concavity plus decreasing risk aversion is equivalent to proper risk aversion.     

Disappointment aversion and the equity premium puzzle: new international evidence

Drawing upon the seminal study of Ang, Bekaert, and Liu [2005. “Why Stock May Disappoint?” Journal of Financial Economics 76 (3): 471–508], we incorporate disappointment aversion (DA, that is, aversion to outcomes that are worse than prior expectations) within a simple theoretical portfolio-choice model. Based on the results of this model, we then empirically address the portfolio allocation problem of an investor who chooses between a risky and a risk-free asset using international data from 19 countries. Our findings strongly support the view that DA leads investors to reduce their exposure to the stock market (i.e. DA significantly depresses the portfolio weights on equities in all cases considered). Overall, our study shows that in addition to risk aversion, DA plays an important role in explaining the equity premium puzzle around the world.     

风险厌恶、失望厌恶和期货套期保值

本文考察失望厌恶对期货套期保值的影响。我们把一个不变的绝对风险厌恶（CARA）效用函数放进Gul（1991）的失望厌恶框架之内。它显示出，一个更厌恶失望的套期保值者会比一个厌恶失望程度较低的套期保值者选择一个更接近于最小方差套期保值的最优期货头寸。当套期保值者厌恶风险的程度较低时，失望厌恶的效应更强。对失望很小程度的厌恶会使一个接近于风险中性的套期保值者持有一个截然不同的头寸。此外，一个更厌恶风险或失望的套期保值者会有一个较低的参考点reference point。数字上的结果显示，厌恶失望的套期保值者的参考点往往会低于传统的厌恶损失的套期保值者的参考点。于是，厌恶失望的套期保值者的行动会更加保守，利用机会牟利的行为会少于传统的厌恶损失的套期保值者。     

Issuing bonds during the Covid-19 pandemic: Was there an ESG premium?

We rely on the ESG ratings assigned by four distinct agencies (MSCI, Refinitiv, Robeco, and Sustainalytics) to study the link between ESG scores and firms’ cost of debt financing during the Covid-19 pandemic. We document the existence of a statistically and economically significant ESG premium, i.e. better rated companies access debt at a lower cost. Despite some differences across rating agencies, this result is robust to additional controls for the issuer’s credit standing as well as several bond and issuer’s characteristics. We find that this effect is mainly driven by firms domiciled in advanced economies, whereas creditworthiness considerations prevail for firms in emerging markets. Lastly, we show that the lower cost of capital for highly rated ESG firms is explained both by investors’ preference for more sustainable assets and by risk-based considerations unrelated to firms’ creditworthiness, such as exposure to climate change risks.     

Order and price in a sequential auction

A sequential auction of commercial properties produced evidence that bid timing matters. Prices declined as the auction proceeded, an outcome consistent with expectations when bidders are either risk averse or quantity constrained.     

Macroeconomic Conditions, Firm Characteristics, and Credit Spreads

We study a structural model that allows us to examine how credit spreads are affected by the interaction of macroeconomic conditions and firm characteristics. Unlike most other structural models, our model explicitly incorporates equilibrium macroeconomic dynamics and models a firm's cash flow as primitive processes. Corporate securities are priced as contingent claims written on cash flows. Default occurs when the firm's cash flow cannot cover the interest payments and the recovery rate is dependent on the economic condition at default. Our model produces the following predictions: (i) credit spread is mostly negatively correlated with interest rate; (ii) credit spread yield curves are upward sloping for low-grade bonds; (iii) firm characteristics have significant effects on credit spreads and these effects also vary with economic conditions. These predictions are consistent with the available empirical evidence and generate implications for further empirical investigation.     

Does Branch Religiosity Influence Bank Risk‐Taking?

Using branch‐level data on public and private US banking institutions, we investigate the importance of branch religiosity in shaping bank risk‐taking behavior. Our results show robust evidence that branch religiosity is negatively related to bank risk‐taking. This effect persists after controlling for several bank‐level and county‐level variables that might correlate with religiosity. Moreover, this result is robust to controlling for headquarter religiosity, suggesting that the effect of branch religiosity is additive and not washed out by headquarter religiosity. Overall, our findings document that headquarter religiosity does not capture the full effect of religiosity on bank behavior, as claimed by previous research, but that the religiosity of the geographic area in which the bank operates significantly influences bank behavior.     

The estimation and determinants of emerging market country risk and the dynamic conditional correlation GARCH model

Country risk assessment is central to the international investment, which recently has increasingly focused on emerging markets (EM). In this paper we proxy for country risk in EM by using time-varying beta. We extend existing literature by applying a dynamic conditional correlation GARCH model. After confirming beta is time varying in twenty EM over the period January 1995 to December 2008 we investigate the GARCH (1,1) model and find the t-distribution generates the lowest forecast errors compared to the normal error distribution and a generalised error distribution. In a comparison of previous modelling techniques the results of our modified Diebold-Mariano test statistics suggest that the Kalman Filter model outperforms the GARCH model and the Schwert and Seguin (1990) model. Using a DCC-GARCH model our evidence suggests that considering dynamic betas can improve beta out-of-sample predicting ability and therefore offers potential gains for investors. Finally, we find dynamic betas across EM are strongly associated with each nation's interest rates, US interest rates and the Consumer Price Index (CPI) and to a lesser extent the exchange rates. Our results have some similarities to those in previous studies of developed markets in the economic determinants of time-varying beta but differences exist in the results on best model to forecast time-varying beta. These findings have implications for estimating country risk for investment and risk management purposes in EM.