Wolfgang Drobetz

An Integrated Framework of Corporate Governance and Firm Valuation

Recent empirical research shows evidence of a positive relationship between the quality of firm-specific corporate governance and firm valuation. Instead of looking at one single corporate governance mechanism in isolation, we construct a broad corporate governance index and apply five additional variables related to ownership structure, board characteristics, and leverage to provide a comprehensive description of firm-level corporate governance for a representative sample of Swiss firms. To control for potential endogeneity of these six governance mechanisms, we develop a system of simultaneous equations and apply three-stage least squares (3SLS). Our results support the widespread hypothesis of a positive relationship between corporate governance and firm valuation.

Long-Run Performance of Initial Public Offerings: The Evidence for Switzerland

We estimate the underpricing and long-run performance of Swiss initial public offerings (I-POs) from 1983 to 2000. The average market adjusted initial return is 34.97%. To examine the long-run performance of Swiss IPOs, we compute buy-and-hold abnormal returns, skew-ness-adjusted wealth ratios, and cumulative abnormal returns using 120 months of secondary market returns. In contrast to previous findings for the U.S. and Germany, we do not find strong evidence for a distinct IPO effect. We attribute long-run underperformance to the fact that IPO firms tend to be small firms. It virtually vanishes when we use a small capitalization index as a benchmark. In spite of distinct economic implications and statistical properties, our basic results are similar for all performance measures applied.

Conditional Performance Evaluation for German Mutual Equity Funds

We investigate the conditional performance of a sample of German equity mutual funds over the period from 1994 to 2003 using both the beta-pricing approach and the stochastic discount factor (SDF) framework. On average, mutual funds cannot generate excess returns relative to their benchmark that are large enough to cover their total expenses. Compared to unconditional alphas, fund performance sharply deteriorates when we measure conditional alphas. Given that stock returns are to some extent predictable based on publicly available information, conditional performance evaluation raises the benchmark for active fund managers because it gives them no credit for exploiting readily available information. Underperformance is more pronounced in the SDF framework than in beta-pricing models. The fund performance measures derived from alternative model specifications differ depending on the number of primitive assets taken to calibrate the SDF as well as the number of instrument variables used to scale assets and/or factors.

Common risk factors in the returns of shipping stocks

The knowledge of risk factors that determine an industrys expected stock returns is important to assess whether this industry serves as a separate asset class. This study analyses the macroeconomic risk factors that drive expected stock returns in the shipping industry and its three sectors: container, tanker, and bulker shipping. Our sample consists of the monthly returns of 48 publicly-listed shipping companies over the period from January 1999 to December 2007. We use shipping stocks together with a set of country or other industry indices to estimate the macroeconomic risk profiles and the corresponding factor risk premiums. Using a Seemingly Unrelated Regressions (SUR) model to estimate factor sensitivities, we document that shipping stocks exhibit remarkably low stock market betas. We also provide evidence that a multidimensional definition of risk is necessary to capture the risk-return spectrum of shipping stocks. A one-factor model produces large pricing errors, and hence it must be rejected based on tests of the models orthogonality conditions using the Generalized Method of Moments (GMM). In contrast, when the change in the trade-weighted value of the US

The Returns to Hedge Fund Activism in Germany

, the change in G-7 industrial production, and the change in the oil price are added as additional risk factors, the resulting multifactor model is able to explain the cross-section of expected stock returns. The risk-return profile of shipping stocks differs from country and other industry indices. However, the sensitivities to global systematic risk factors are similar across all three sectors of the shipping industry. Overall, our results suggest that shipping stocks have the potential to serve as a separate asset class. Our findings also have important implications for computing the cost of equity capital in the shipping industry.

Dynamics of time-varying volatility in the dry bulk and tanker freight markets

Recent regulatory changes in the German financial system shifted corporate control activities from universal banks to other capital market participants. Particularly hedge funds took advantage of the resulting control vacuum by acquiring stakes in weakly governed and less profitable firms. We document that, on average, hedge funds increased shareholder value in the short‐ and long‐run. However, more aggressive hedge funds generated only initially higher returns and their outperformance quickly reversed, whereas non‐aggressive hedge funds ultimately outperformed their aggressive peers. These findings suggest that aggressive hedge funds attempt to expropriate the target firms shareholders by exiting at temporarily increased share prices.

Firm Characteristics, Economic Conditions and Capital Structure Adjustment

This study examines whether shocks from macroeconomic variables or asymmetric effects are more suitable for explaining the time-varying volatility in the dry bulk and tanker freight markets or whether both effects should be incorporated simultaneously. Using Baltic Exchange indices during the sample period from March 1999 to October 2011 on a daily basis, we separately analyse the impact of macroeconomic shocks and asymmetric effects on the conditional volatility of freight rates by using a GARCH-X model and an EGARCH model, respectively. Furthermore, we simultaneously investigate both effects by specifying an EGARCH-X model. Assuming not only a normal distribution but also a t-distribution in order to better capture the fat tails of error terms, three important conclusions emerge for modelling the conditional volatility of freight rates: (i) The assumption of a t-distribution is better suited than a normal distribution is. (ii) Macroeconomic factors should be incorporated into the conditional variance equation rather than into the conditional mean equation. In addition, the number of macroeconomic factors that exhibit explanatory power decreases under a t-distribution. (iii) While there seem to be no asymmetric effects in the dry bulk freight market, these effects are strongly pronounced in the tanker freight market. Our empirical findings have important implications for freight rate risk management.

Long-Term Performance of Initial Public Offerings: The Evidence for Switzerland

We use a dynamic framework and panel methodology to investigate the NEWLINE determinants of a firms’ time-varying capital structure. Our sample comprises NEWLINE 706 European firms from France, Germany, Italy and the U.K. over NEWLINE the period from 1983 to 2002. If capital structure adjustment is costly, firms NEWLINE may deviate temporarily from their target debt ratios. Therefore, we endogenize NEWLINE the adjustment process and analyze the impact of firm-specific NEWLINE characteristics as well as macroeconomic factors on the speed of adjustment NEWLINE towards target leverage. We find that larger and faster growing firms as well NEWLINE as firms that are further away from their targets adjust more readily. Additionally, NEWLINE we document interesting relations between well-known business NEWLINE cycle variables and the adjustment speed. In a nutshell, firms adjust faster in NEWLINE favorable macroeconomic conditions, e.g. if interest rates are low and the NEWLINE risk of disruptions in the global financial system are negligible. We also NEWLINE document that capital structure decision are largely determined by financial NEWLINE constraints. Finally, we shed new light on the interdependence between NEWLINE book value based and market value based measures of leverage as well as on NEWLINE capital structure rebalancing issues.

Are stock markets really so inefficient? The case of the “Halloween Indicator” ☆

A method is provided for simply and effectively increasing monoalkylation of aromatic compounds while also increasing the life of the acid catalyst used to alkylate said compounds. The method and apparatus involve drastically reducing the amount of the alkylation agent present in the reaction mixture, e.g., to at least about a 99:1 excess of aromatic, preferably to about a 999:1 excess of aromatic. In a preferred embodiment, the alkylation agent is introduced intermittently, or in stages, at a ratio of at least 999:1 so that the excess of aromatic may be maintained at all points in the reactor in order to most effectively prolong the life of the catalyst. For continuous operation, a single reactor equipped with multiple injection ports may be used, or multiple reactors may be connected in series adapted so that the alkylation agent may be introduced prior to each reactor.\!

Share repurchases of initial public offerings: motives, valuation effects, and the impact of market regulation

The old and simple investment strategy “Sell in May and Go Away” (also referred to as the “Halloween effect”) enjoys an unbroken popularity. Recent studies suggest that the Halloween effect even strengthened rather than weakened since its first publication by Bouman and Jacobsen (2002). We implement regression models as well as Hansen’s (2005) “Superior Predictive Ability” test to analyze whether stock markets are really so inefficient. In line with the predictions of market efficiency, our results reject the hypothesis that a trading strategy based on the Halloween effect significantly outperforms.