Random sources correlations and carbon futures pricing

For a long time, the correlation between random sources has never been considered in carbon futures pricing, which virtually exists. We document the presence of high correlation between variations in convenience yields of carbon futures with different maturities, whose essence is correlation between random sources. Correlation of random sources arises from the long coverage of convenience yield of carbon emission spot and the complementarity in expiration between carbon futures with different maturities. Since if random sources are correlated will significantly affect the dynamics of convenience yield and finally affect futures prices, we introduce quantum field method to account for the impact of this correlation on futures prices, and proposes the correlation between random sources extended HJM convenience yield model (CRS-HJM-CYM). Empirical results indicate CRS-HJM-CYM performs better than traditional model owing to the role of correlation, which means the correlation between random sources is a pivotal factor in carbon futures pricing.     

Yield effects of agricultural cooperative membership in developing countries: A meta-analysis

This study uses a meta-analysis to synthesize the effects of agricultural cooperative membership on the yield of crops and livestock. It collects 158 estimated yield effects from 42 studies, covering 19 developing countries. Our analysis finds evidence that there exists positive publication bias in the empirical literature, confirming that researchers and journals have a preference to publish articles that report positive and significant results. After correcting for publication bias, we find that cooperative membership has a small-sized and insignificant effect on the yield. The meta-regression analysis reveals that variation in the reported yield effects can be largely explained by the study attributes such as the sample type (full sample vs. subsample), membership ratio, econometric approaches (instrumental-variable based parametric approach, non-parametric approach or ordinary least square regression), effect size types (average treatment effects on the treated, average treatment effects, or coefficient), agro-product type (grain or others), and climate zones (tropical or non-tropical).     

Does the Exchange Rate Respond to Monetary Policy in Mexico? Solving an Exchange Rate Puzzle in Emerging Markets

This paper argues that the null or weak response of emerging market currencies to domestic monetary policy documented in the literature is the result of wide event windows. An event study with intraday data for Mexico shows that an unanticipated tightening appreciates the currency and flattens the yield curve, consistent with the evidence for advanced economies. With daily event windows, however, only the yield curve responds to monetary policy. Noise in daily exchange rate returns explains the lack of response of the currency. Such noise gives rise to a bias that declines after controlling for potential omitted variables.     

The 1932 Federal Reserve Open-Market Purchases as a Precedent for Quantitative Easing

The $1 billion open-market operation conducted by the Federal Reserve, at the height of the Great Depression, was a successful precedent to the recent Quantitative Easing (QE) programs. The 1932 program entailed large purchases of medium- and long-term securities over a 4-month period. An event study analysis indicates that the program dramatically lowered medium- and long-term Treasury yields. A segmented markets model is used to analyze the effects of the open-market purchases on the economy. A significant degree of financial market segmentation is estimated, and partly explains the observed upturn in output growth. Had the Federal Reserve continued its operations and used the announcement strategy used in QE1, the Great Contraction could have been attenuated earlier. Our historical analysis suggests that the Federal Reserve in 2008 had a good predecessor to its actions.     

Rigid payment breaking,default spread and yields of Chinese treasury bonds

While the existence of implicit payment guarantees has long characterized Chinese bond market, recent market oriented reforms in the country have gradually broken this regime. In this context, we examine how the breaking of rigid payment regime influences the yields of Chinese treasury bonds. We argue that the rigid payment breaking affects the yields of treasury bonds by influencing investors’ setup of default risk premiums and the demand for “flight-to-quality” and “flight-to-liquidity”. Our analysis of the daily data of Chinese treasury bond transactions over the period of 2009–2019 support our theoretical arguments, indicating that rigid payment breaking has a negative impact on the yields of Chinese treasury bonds. However, this impact is heterogeneous across the bonds with different maturities and the significant effect exists only for medium and long-term treasury bonds. Our findings advance understanding of how the breaking of rigid payment regime influences the yields of financial products, providing guidelines for how investors should optimize their investment portfolios in the bond market.     

Trading and liquidity in the catastrophe bond market

We provide first insights into secondary market trading, liquidity determinants, and the liquidity premium of catastrophe bonds. Based on transaction data from TRACE (Trade Reporting and Compliance Engine), we find that cat bonds are traded less frequently during the hurricane season and more often close to maturity. Trading activity indicates that the market is dominated by brokers without a proprietary inventory. Liquidity is high in periods of high trading activity in the overall market and for bonds with low default risk or close to maturity, which results from lower order processing costs. Finally, using realized bid–ask spreads as a liquidity measure, we find that on average, 21% of the observable yield spread on the cat bond market is attributable to the liquidity premium, with a magnitude of up to 141 bps for high-risk bonds.     

Risk effects of GM corn: Evidence from crop insurance outcomes and high-dimensional methods

This study evaluates whether genetically modified (GM) corn hybrids with rootworm resistant traits (GM-RW) have lower yield risk. A crop insurance actuarial performance measure, the loss cost ratio (LCR), is used to represent yield risk. High-dimensional methods are utilized in this study to maintain parsimony in the empirical specification, and facilitate estimation. Specifically, we employ the Cluster-Lasso (cluster-least absolute shrinkage and selection operator) procedure. This method produces uniformly valid inference on the main variable of interest (i.e., the GM-RW variable) in a high-dimensional panel data setting even in the presence of heteroskedastic, non-Gaussian, and clustered error structures. After controlling for a large set of potential weather confounders using Cluster-Lasso, we find consistent evidence that GM corn hybrids with rootworm resistant traits have lower yield risk.     

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.     

The dynamic effects of monsoon rainfall shocks on agricultural yield,wages, and food prices in India*

This paper shows that, first, the effects of monsoon rainfall shocks on agricultural yield in India are highly asymmetric: yield falls strongly after droughts, whereas excessive rainfall has only little effects. Second, our key novel finding is that the short-lived yield loss after a widespread drought elicits a persistent decline (increase) in wages (food prices), which lasts for up to five years. Third, affiliation to the same National Sample Survey region (and thus to the same state) seems to be a key determinant of internal migration, whereas distance appears more relevant for food arbitrage trading.