CREDIT DEFAULT SWAPS – WEAPON OF MASS DESTRUCTION OR RELIABLE INDICATOR?

Credit Default Swaps (CDS) are said to increase systemic vulnerability, but they also serve as an ex‐ante indicator of default probabilities, more finely‐tuned and more responsive than ratings agency reports. And they provide a useful mechanism for trading risk and an incentive for good management by businesses and governments.     

Combining predictive distributions for the statistical post-processing of ensemble forecasts

Statistical post-processing techniques are now used widely for correcting systematic biases and errors in the calibration of ensemble forecasts obtained from multiple runs of numerical weather prediction models. A standard approach is the ensemble model output statistics (EMOS) method, which results in a predictive distribution that is given by a single parametric law, with parameters that depend on the ensemble members. This article assesses the merits of combining multiple EMOS models based on different parametric families. In four case studies with wind speed and precipitation forecasts from two ensemble prediction systems, we investigate the performances of state of the art forecast combination methods and propose a computationally efficient approach for determining linear pool combination weights. We study the performance of forecast combination compared to that of the theoretically superior but cumbersome estimation of a full mixture model, and assess which degree of flexibility of the forecast combination approach yields the best practical results for post-processing applications.     

Is the diversification discount caused by the book value bias of debt?

We analyze whether the diversification discount is driven by the book value bias of corporate debt. Book values of debt may be a more downward biased proxy of the market value of debt for diversified firms, relative to undiversified firms, as diversification leads to lower firm risk. Thus, measures of firm value based on book values of debt undervalue diversified firms relative to focused firms. Our paper complements recent literature which uses market values to test the risk reduction hypothesis for a subsample of firms for which debt is traded. Alternatively, we employ market value of debt estimates for the whole firm universe. Consistent with the above hypothesis, we show that the use of book values of debt underestimates the value of diversified firms. There is no discount for mainly equity financed firms and lower distress risk and equity volatility for diversified firms. More concentrated ownership increases firm valuation.     

Uncertainty and the Great Recession

Has heightened uncertainty been a major contributor to the Great Recession and the slow recovery in the United States? To answer this question, we identify exogenous changes in six uncertainty proxies and quantify their contributions to GDP growth and the unemployment rate. The answer is no. In total we find that increased macroeconomic and financial uncertainty can explain up to 10% of the drop in GDP at the height of the recession and up to 0.6 percentage points of the increased unemployment rates in 2009 through 2011. Our calculations further suggest that only a minor part of the rise in popular uncertainty measures during the Great Recession was driven by exogenous uncertainty shocks.     

Are Private Vices Public Finance Virtues? An Empirical Investigation

The article investigates the impact of widely accepted private vices (smoking and alcohol and gasoline consumption) on public finance. Introducing the concept of “vice-related deficit,” which aggregates the positive effects on public finance on the revenue side (cash inflows) and the negative effects on the expenditures side (cash outflows), the article looks upon cigarette, alcohol, and gasoline consumption as determinants of vice-related deficit for a number of 68 countries for year 2012. We found that smoking had a negative effect on vice-related budget balance, while alcohol and gasoline consumption had a positive effect. As control variables, we used life expectancy and size of the economy, both having been found with negative effects. The results prove robust to different sample adjustments. We also found that the negative effect of private vices on public finance is stronger for Christian countries than for non-Christian countries. Policy recommendations were made accordingly.     

Risk perception and risk management in the Middle East market: theory and practice of multinational enterprises in Saudi Arabia

This exploratory study investigates the risk perception and risk management strategies of Western multinational enterprises in the Middle East. A sample of 49 German companies operating in Saudi Arabia provides the empirical setting for this research. The study reveals that cultural risk is assessed as more important in the business environment than political, financial, and economic risk. The most critical risk factors are not sufficiently included in the methodology of country risk measures, which are often used as a source for country‐specific risk information. In terms of risk management strategies, participating firms use mostly informal approaches rather than structured hedging or insurance products. Furthermore, we find that firm size has implications on the perception of some risk factors and for the level of risk management sophistication.     

Reinforcement learning and stochastic optimisation

At the heart of financial mathematics lie stochastic optimisation problems. Traditional approaches to solving such problems, while applicable to broad classes of models, require specifying a model to complete the analysis and obtain implementable results. Even then, the curse of dimensionality challenges the viability of conventional methods to settings of practical relevance. In contrast, machine learning, and reinforcement learning (RL) particularly, promises to learn from data and overcome the curse of dimensionality simultaneously. This article touches on several approaches in the extant literature that are well positioned to merge our traditional techniques with RL.