Corporate Social Responsibility and Bond Price at Issuances: U.S. Evidence

Bondholders are arm’s-length lenders with limited insider information. In this paper, we explore whether corporate social responsibility (CSR) activities could work as an information channel for bondholders to better understand the riskiness of bond-issuing firms. We find a significant negative relation between CSR scores and corporate bond yield spread, especially for firms which invest heavily in diversity and community relations, suggesting that CSR firms are less risky. The result is robust to different model specifications and endogeneity issues. In addition, the negative relation between the CSR score and bond yield spread is significant only if a firm has a strong internal governance mechanism.

Shape Evolution of the Interest Rate Term Structure

This paper adopts a novel approach to studying the evolution of interest rate term structure over the U.S. business cycles and to predicting recessions. Applying an effective algorithm, I classify the Treasury yield curve into distinct shapes and find the less frequent shapes intrinsically linked to the recessions in the post-WWII data. In forecasting recessions, the median-short yield spread trumps the long-short spread for horizons up to 17 months ahead and the yield curve shape is nearly impressive as the median-short spread. Overall, the yield curve shape is an informative but more succinct indicator than the spreads in studying the term structure. Key words: Business cycle, recession forecast, U.S. Treasury yield curve, yield spreads.

Forecasting Recessions with Financial Variables and Temporal Dependence

Extending earlier research on forecasting recessions with financial variables, I examine the importance of additional financial variables and temporal dependence for recession prediction. I show that both additional financial variables, in particular, the Treasury bill spread, default yield spread, stock return volatility, and temporal cubic terms, which account for temporal dependence, independently help to improve not only in-sample, but also out-of-sample recession prediction. I also find that additional financial variables and temporal cubic terms complement each other in enhancing the predictability of recessions, increasing the explanatory power and decreasing prediction error further, compared to their individual performance.

Macroeconomic sensitivity and firm level volatility: the case of New York Stock Exchange

Purpose – This paper investigates whether the macroeconomic factors affect the firm stock returns volatility differently depending on their location in different sectors. For this purpose, daily financial time-series data for 683 firms located in nine US sectors for the period of 2000 to 2017 are employed. Research methodology – The GARCH (1,1) model was applied to each firm located in nine US sectors. The four macroeconomic factors, namely, exchange rate, treasury yield spread, oil prices, and market return, are included in both mean and variance equations of GARCH (1,1) model to estimate the effect. Research limitations – This research study is limited to the New York Stock Exchange; therefore, it can be extended to the other economies as well. Further, this study uses one firm feature that is the sectoral location of the firm; it is recommended that some other firm features should be studied to explore the volatility behaviour of firms. In the methodological part, this study does not include the lag effect, since it is recognised in the literature that the investors underreact to public information, so future research can be extended to test the underreaction hypothesis. Practical implications – This study has implications for the investors and policymakers. Since it has emerged from the findings that some sectors are more sensitive than others to macroeconomic changes, so this knowledge will help the investors to diversify their portfolio and policymakers to maintain macroeconomic discipline. Originality/Value – The main contribution of this study is that it undertakes the assumption of heterogeneous nature of firms and conducts a detailed firm level analysis by sector covering a more extended period of time to investigate the impact of four macroeconomic factors, namely, exchange rate, treasury yield spread, oil prices, and market return on firm stock returns, volatility using daily data. Further, this study contributes by including all the macroeconomic factors together as an exogenous variable in mean and conditional variance equations of the GARCH (1,1) model to investigate the effect simultaneously.

Do investors value frequent issuers in securitization?

We assess the value of frequent issuers to investors in securitization markets by examining the initial yield spread of 6132 European mortgage-backed securities (MBS), covering a 20-year period between 1999 and 2018. We find that frequent issuers have certification value, and it increases as the credit cycle approaches its peak, as lending standards loosen, and information asymmetries in securitization markets increase. Investors value frequent issuers more favourably on riskier, difficult to evaluate MBS. We find that after the great financial crisis (GFC), investors began to attribute more value to frequent issuers, regardless of MBS credit quality. We also find that in the pre-crisis period, investors required higher yields to compensate for perceived rating shopping, which is not observed after the GFC. Finally, we show that investors expect higher yields on deals closed by subsidiaries of foreign banks.

The Unintended Consequences of Corporate Bond ETFs: Evidence from the Taper Tantrum

This paper examines whether ETFs are a unique source of corporate bond fragility. Relative to mutual funds, ETFs cater to high-liquidity-demand investors, facilitate positive feedback strategies, and transmit outflows to corporate bonds via near-proportional trading. Comparing yield spread changes of bonds from the same issuer, we show that ETFs create flow-induced pressure during the Taper Tantrum, a period of market turmoil. Redemptions used to maintain the relative price efficiency of the largest and most liquid ETFs lead to significantly higher yield spreads for 4 months before reverting. The pattern indicates ETFs amplify the effects of negative fundamental shocks.