A hybrid information approach to predict corporate credit risk

This article proposes a hybrid information approach to predict corporate credit risk. In contrast to the previous literature that debates which credit risk model is the best, we pool information from a diverse set of structural and reduced-form models to produce a model combination based credit risk prediction. Compared with each single model, the pooled strategies yield consistently lower average risk prediction errors over time. We also find that while the reduced-form models contribute more in the pooled strategies for speculative grade names and longer maturities, the structural models have higher weights for shorter maturities and investment grade names

Linking credit risk premia to the equity premium

Although the equity premium is - both from a conceptual and empirical perspective - a widely researched topic in finance, there is still no consensus in the academic literature about its magnitude. In this paper, we propose a different estimation method which is based on credit valuations. The main idea is straigtforward: We use structural models to link equity valuations to credit valuations. Based on a simple Merton model, we derive an estimator for the market Sharpe ratio. This estimator has several advantages. First, it offers a new line of thought for estimating the equity premium which is not directly linked to current methods. Second, it is only based on observable parameters. We do neither have to calibrate dividend or earnings growth - which is usually necessary in dividend/earnings discount models - nor do we have to calibrate asset values or default barriers - which is usually necessary in traditional applications of structural models. Third, it is robust to model changes. We examine the model of Duffie/Lando (2001) - which is one of the most sophisticated structural models currently discussed in the literature - to show this robustness. In an empirical analysis we have used CDS spreads of the 125 most liquid CDS in the U.S. from 2003 to 2007 to estimate the equity premium. We derive an average implicit market Sharpe ratio of appr. 40%. Adjusting for taxes and other parts of the credit spread not attributable to credit risk yields an average market Sharpe ratio below 30%. This confirms research on the equity premium, which indicates that the historically observed Sharpe ratio of 40-50% - corresponding to an equity premium of 7-9% and a volatility of 15-20% - was partly due to one-time effects. In addition, our research can be used to explain empirical findings about credit risk premia, which are usually measured as the ratio of risk-neutral to actual default probabilities. We show that the behavior of these ratios can be directly inferred from a simple Merton model and that this behavior is robust to model changes. --equity premium,credit risk premium,credit risk,structural models of default

A non-arbitrage liquidity model with observable parameters for derivatives

We develop a parameterised model for liquidity effects arising from the trading in an asset. Liquidity is defined via a combination of a trader's individual transaction cost and a price slippage impact, which is felt by all market participants. The chosen definition allows liquidity to be observable in a centralised order-book of an asset as is usually provided in most non-specialist exchanges. The discrete-time version of the model is based on the CRR binomial tree and in the appropriate continuous-time limits we derive various nonlinear partial differential equations. Both versions can be directly applied to the pricing and hedging of options; the nonlinear nature of liquidity leads to natural bid-ask spreads that are based on the liquidity of the market for the underlying and the existence of (super-)replication strategies. We test and calibrate our model set-up empirically with high-frequency data of German blue chips and discuss further extensions to the model, including stochastic liquidity

Determinants of power spreads in electricity futures markets: A multinational analysis. ESRI WP580, December 2017

The growth in variable renewable energy (vRES) and the need for flexibility in power systems go hand in hand. We study how vRES and other factors, namely the price of substitute fuels, power price volatility, structural breaks, and seasonality impact the hedgeable power spreads (profit margins) of the main dispatchable flexibility providers in the current power systems - gas and coal power plants. We particularly focus on power spreads that are hedgeable in futures markets in three European electricity markets (Germany, UK, Nordic) over the time period 2009-2016. We find that market participants who use power spreads need to pay attention to the fundamental supply and demand changes in the underlying markets (electricity, CO2, and coal/gas). Specifically, we show that the total vRES capacity installed during 2009-2016 is associated with a drop of 3-22% in hedgeable profit margins of coal and especially gas power generators. While this shows that the expansion of vRES has a significant negative effect on the hedgeable profitability of dispatchable, flexible power generators, it also suggests that the overall decline in power spreads is further driven by the price dynamics in the CO2 and fuel markets during the sample period. We also find significant persistence (and asymmetric effects) in the power spreads volatility using a univariate TGARCH model

Simulation of an Optional Strategy in the Prisoner's Dilemma in Spatial and Non-spatial Environments

This paper presents research comparing the effects of different environments on the outcome of an extended Prisoner's Dilemma, in which agents have the option to abstain from playing the game. We consider three different pure strategies: cooperation, defection and abstinence. We adopt an evolutionary game theoretic approach and consider two different environments: the first which imposes no spatial constraints and the second in which agents are placed on a lattice grid. We analyse the performance of the three strategies as we vary the loner's payoff in both structured and unstructured environments. Furthermore we also present the results of simulations which identify scenarios in which cooperative clusters of agents emerge and persist in both environments.Comment: 12 pages, 8 figures. International Conference on the Simulation of Adaptive Behavio

Tactical size rotation in Switzerland

The size premium, defined as the outperformance of equities of small and medium-sized companies compared with the shares of large companies, is subject to strong cyclical fluctuations over time. This study examines the predictability of this premium for the Swiss stock market. The forecasts used are developed applying a flexible forecasting approach that is based on time variable multi-factor models. Our strategies provide information ratios significantly greater than 1 for a maximum real-time application of a good seven years. The results show that risk variables such as the credit spread and TED spread, the performance of the S&P 500 and statistical variables such as AR(1) terms or trends calculated using the Hodrick-Presscot filter prove to be successful forecasting variables in our algorithm. Furthermore, variables that sum up the consensus estimates of equity analysts (IBES) for various size portfolios can sometimes make valuable forecast contributions. --

Driving Factors in Pricing European CMBS: Bond, Mortgage and Real Estate Characteristics

This work represents a first attempt to price European commercial mortgage backed securities (CMBS) and our results are consistent with research carried out in the US market. More specifically this research intends to study the significance of bond, mortgage and property-related variables in the pricing of European CMBS, along with macro-economic and financial factors used as control variables. Particularly we define some variables to describe the underlying property portfolio and the behavior of the real estate market to test their significance in explaining CMBS spreads. Multiple linear regression analysis using a databank of A Tranches issued between 1997 and 2007 indicates a strong relationship with bond-related factors, followed by real estate and mortgage market conditions. As floater coupon tranches tend to be riskier and exhibit higher spreads, we also estimate a model using this sub-set of data only and results hold reinforcing our findings. Finally, we estimate our model for both tranches A and B and discuss main differences.