Measuring the effect of watch-preceded and direct rating changes: a note on credit markets

This paper analyzes the importance of distinguishing between watch-preceded and direct rating changes for the credit default swap (CDS) market by examining a total of 2991 rating change announcements, 1526 watchlist placement announcements, and 430 rating affirmations following watchlist placements. The results show that watch-preceded downgrades do not lead to significant CDS market reactions, while direct downgrades are associated with a significant increase in CDS spread levels. Likewise, we document that watchlist placements for downgrade lead to increases in firms’ CDS spreads. CDS markets do not react to rating upgrades but watchlist placements for upgrade result in an immediate decrease in CDS spreads. Rating affirmations following watchlist placements for downgrade lead to slight reductions in CDS spreads, while affirmations following watchlist placements for upgrade have no effect on CDS spreads. These findings demonstrate the importance for empirical research on the interaction between credit markets and rating announcements to differentiate between watch-preceded and direct rating changes, particularly for rating downgrades.     

A fully parametric approach to return modelling and risk management of hedge funds

This paper examines the empirical properties of hedge fund returns and proposes a fully parametric model capable of adequately describing both univariate and multivariate return properties. The suggested model is based on the multivariate extension of the Normal Inverse Gaussian (NIG) distribution and will be shown to be capable of capturing the characteristic distributional features of hedge fund returns. Drawing on recent research in the area of Generalized Hyperbolic distributions and their calibration, we will elaborate on the application of the NIG-model for risk management purposes, and highlight the differences between the NIG and the Gaussian model.      

Quantifying the CO2 Permit Price Sensitivity

Equilibrium models have been widely used in the literature with the aim of showing theoretical properties of emissions trading schemes. This paper applies equilibrium models to empirically study permit prices and to quantify the permit price sensitivity. In particular, we demonstrate that emission trading schemes both with and without banking are inherently prone to price jumps.     

Pricing forward contracts in power markets by the certainty equivalence principle: Explaining the sign of the market risk premium

In this paper we provide a framework that explains how the market risk premium, defined as the difference between forward prices and spot forecasts, depends on the risk preferences of market players and the interaction between buyers and sellers. In commodities markets this premium is an important indicator of the behavior of buyers and sellers and their views on the market spanning between short-term and long-term horizons. We show that under certain assumptions it is possible to derive explicit solutions that link levels of risk aversion and market power with market prices of risk and the market risk premium. We apply our model to the German electricity market and show that the market risk premium exhibits a term structure which can be explained by the combination of two factors. Firstly, the levels of risk aversion of buyers and sellers, and secondly, how the market power of producers, relative to that of buyers, affects forward prices with different delivery periods.     

ESG in credit ratings and the impact on financial markets

This study examines environment, social, governance (ESG) consideration in rating reports published by credit rating agencies. 3,719 Moody's credit rating reports between 2004 and 2015 are examined and the ESG consideration is analyzed using a latent dirichlet allocation (LDA) approach. We further analyze the stock returns and credit default swap (CDS) spread changes to check whether ESG consideration has an effect on the capital market reactions. We find a small but present consideration of ESG in rating decisions. Within ESG, corporate governance plays the most important role. Moreover, the results reveal that ESG consideration is a significant determinant in the stock return and CDS spread around the rating announcement. We find that all ESG criteria are important for equity and debt investors.     

A Multivariate Commodity Analysis with Time-Dependent Volatility—Evidence from the German Energy Market

In recent years commodity markets (in particular electricity, coal, and emissions) encountered extreme price movements and phases of high price volatility. Utility companies are naturally exposed to these kinds of market movements and thus have to set-up an appropriate risk management system. We show that the nonstationary behavior of recent energy prices can be captured by time-dependent (and possibly stochastic) volatility models. We compare their statistical performance and their impact on risk management applications by calculating risk metrics such as value-at-risk. Based on a comprehensive backtesting study we conclude that our suggested models outperform stationary models in most cases and therefore should be considered superior for risk management applications.     

A two-factor model for the electricity forward market

This paper provides a two-factor model for electricity futures that captures the main features of the market and fits the term structure of volatility. The approach extends the one-factor model of Clewlow and Strickland to a two-factor model and modifies it to make it applicable to the electricity market. We will particularly deal with the existence of delivery periods in the underlying futures. Additionally, the model is calibrated to options on electricity futures and its performance for practical application is discussed.     

Environmental,social and governance reporting in annual reports: A textual analysis

Considering environmental, social, and governance (ESG) factors becomes increasingly important for companies and investors. However, “ESG” is not clearly defined so far and, therefore, it is difficult to measure the ESG activity of companies. We analyze the extent and changes in 10‐K reports and proxy statements on ESG, using a textual analysis and creating an ESG dictionary. The results show an average of 4.0 % ESG words on total words in the reports. The ESG word list with 482 items can be used to quantitatively examine the extent of ESG reporting, which will be helpful especially for SRI investors. Our classification of 40 subcategories allows a highly granular analysis of different ESG related aspects. Moreover, indications for a relation between changes in reporting and real events, especially negative media presence, are detected. Regulatory bodies have to be aware of the use of such words and how they are used.     

Cross‐commodity analysis and applications to risk management

The understanding of joint asset return distributions is an important ingredient for managing risks of portfolios. Although this is a well‐discussed issue in fixed income and equity markets, it is a challenge for energy commodities. In this study we are concerned with describing the joint return distribution of energy‐related commodities futures, namely power, oil, gas, coal, and carbon. The objective of the study is threefold. First, we conduct a careful analysis of empirical returns and show how the class of multivariate generalized hyperbolic distributions performs in this context. Second, we present how risk measures can be computed for commodity portfolios based on generalized hyperbolic assumptions. And finally, we discuss the implications of our findings for risk management analyzing the exposure of power plants, which represent typical energy portfolios. Our main findings are that risk estimates based on a normal distribution in the context of energy commodities can be statistically improved using generalized hyperbolic distributions. Those distributions are flexible enough to incorporate many characteristics of commodity returns and yield more accurate risk estimates. Our analysis of the market suggests that carbon allowances can be a helpful tool for controlling the risk exposure of a typical energy portfolio representing a power plant. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:197–217, 2009     

Do Voluntary Biotechnology Labels Matter to the Consumer? Evidence from the Fluid Milk Market

This article examines the effects on the demand of voluntary labeling for the use of genetically modified growth hormone for retail fluid milk using supermarket scanner data. Retail fluid milk tracks one of the first biotechnology products approved, is fairly standardized and ubiquitous, and allows for cross-sectional differentiation between labeled and unlabeled products and between conventional and organic brands. The results indicate that voluntary labeling increases the demand for recombinant bovine growth hormone free milk. In addition, the estimated effects of labeling appear to have increased over time.