Wolf in Sheep's Clothing: The Active Investment Strategies behind Index Performance

This paper argues that the commonly used market indices imply forms of active investment management in disguise. The selection and rebalancing rules make these indices highly exclusive and dynamic regarding their underlying components and significantly bias their performance. Any passive investment tracking these indices turns into an active strategy characterised by market timing and state‐dependent performance. Evidence is provided that exclusive indices outperform (underperform) more inclusive peer indices in upward (downward) markets. The constitution and maintenance rules of exclusive indices correspond to a set of active trading and investment rules similar to momentum strategies.     

Decline of Controlled Foreign Company Rules and Rise of Intellectual Property Boxes: How the European Court of Justice Affects Tax Competition and Economic Distortions in Europe

The European Court of Justice (ECJ) has become an influential player in the field of direct taxation in the European Union (EU) in the past 20 years. However, it is unclear whether or not the ECJ's decisions and the corresponding reactions by the member states actually contribute to tax neutrality in economic terms and, therefore, to the achievement of the internal market. In 2006, the ECJ limited the applicability of specific tax rules in the EU that are intended to prohibit the excessive use of low‐tax countries by multinationals. Our counterfactual analysis shows that the court's restriction of so‐called controlled foreign company rules and the related second‐round reactions by some member states – i.e. the introduction of low‐tax regimes for income from acquired intellectual properties (IP boxes for acquired IP) – cast doubt on the seemingly positive effects the ECJ has on reducing tax distortions. In addition, we demonstrate that the restricted applicability of IP boxes as endorsed by the OECD and the European Commission would strengthen tax neutrality in Europe.     

Risk forecasting in (T)GARCH models with uncorrelated dependent innovations

(G)ARCH-type models are frequently used for the dynamic modelling and forecasting of risk attached to speculative asset returns. While the symmetric and conditionally Gaussian GARCH model has been generalized in a manifold of directions, model innovations are mostly presumed to stem from an underlying IID distribution. For a cross section of 18 stock market indices, we notice that (threshold) (T)GARCH-implied model innovations are likely at odds with the commonly held IID assumption. Two complementary strategies are pursued to evaluate the conditional distributions of consecutive TGARCH innovations, a non-parametric approach and a class of standardized copula distributions. Modelling higher order dependence patterns is found to improve standard TGARCH-implied conditional value-at-risk and expected shortfall out-of-sample forecasts that rely on the notion of IID innovations.     

Parimutuel contests with strategic risk-sensitive bettors

Existing models in the parimutuel betting literature typically explain betting data by either assuming a single, representative bettor with certain risk preferences or by assuming that a number of risk neutral bettors compete strategically within a game theoretic framework. We construct a theoretical framework of parimutuel markets in which we model both strategic interaction and individual bettor risk preferences, distinguishing between sophisticated insiders and recreational outsiders. We solve this model analytically for the optimal insider betting amount in a static symmetric Nash equilibrium. A new data set of 126 million individual horse race bets in New Zealand from 2006 to 2014 allows us to calibrate the model. We find that insiders (those betting $100 or more) outperform outsiders by 7.5% in terms of realized returns. The best fit of the model to the data is obtained when insiders are assumed to be risk neutral and to have an information advantage of 0.08 in probability terms. This finding provides empirical support for the common assumption of risk neutrality in strategic interaction models of parimutuel betting.     

Reducing ambiguity in lotteries: evidence from a field experiment

Ambiguity about the chances of winning represents a key aspect in lotteries. By means of a controlled field experiment, we exogenously vary the degree of ambiguity about the winning chances of lotteries organized to incentivize the contribution for a public good. In one treatment, people have been simply informed about the maximum number of potential participants (i.e. the number of lottery tickets released). In a second treatment, this information has been omitted as in all traditional lotteries. Our general finding shows that simply reducing the degree of ambiguity of the lottery leads to a sizable and significant increase (67%) in the participation rate. This result is robust to alternative prize configurations.     

Innovation,Market Structure and the Structure of the Economy: a micro-to-macro model

This paper presents a micro-to-macro model which connects an input–output model with price-dependent input coefficients and basic elements of industrial economics. This enables the determination of the most important variables on the micro, meso and macro levels, and, in particular, the determination of market structure and economic structure. On the basis of the model, we discuss the various intra-industry and interindustry impacts of process innovation. The results show the importance of considering heterogeneity of firms and sectors.     

Performance of periodic time series models in forecasting

The paper provides a comparison of alternative univariate time series models that are advocated for the analysis of seasonal data. Consumption and income series from (West-) Germany, United Kingdom, Japan and Sweden are investigated. The performance of competing models in forecasting is used to assess the adequacy of a specific model. To account for nonstationarity first and annual differences of the series are investigated. In addition, time series models assuming periodic integration are evaluated. To describe the stationary dynamics (standard) time invariant parametrizations are compared with periodic time series models conditioning the data generating process on the season. Periodic models improve the in-sample fit considerably but in most cases under study this model class involves a loss in ex-ante forecasting relative to nonperiodic models. Inference on unit-roots indicates that the nonstationary characteristics of consumption and income data may differ. For German and Swedish data forecasting exercises yield a unique recommendation of unit roots in consumption and income data which is an important (initial) result for multivariate analysis. Time series models assuming periodic integration are parsimonious to specify but often involve correlated one-step-ahead forecast errors. First version received: April 1996/final version received: January 1998     

Determinants of heterogeneity in European credit ratings

In this study, we empirically analyze the determinants of heterogeneity in rating assessments across different segments of the European loan market. We conduct a benchmarking analysis using rating information on European corporate obligors from nine major Austrian banks that have a large share of foreign lending, particularly in the Central and Eastern European region. We provide evidence that, generally, overall heterogeneity among rating outcomes for foreign markets is higher than for domestic markets. Furthermore, we show that heterogeneity increases in transition economies and those markets where Austrian bank involvement is relatively low. Our evidence supports the hypothesis that heterogeneity in the assessment of credit risk is determined not only by the objective quality of information, which is deemed to be lower in transition economies, but also by the subjective access to information about obligors measured by the level of domestic bank involvement in the respective foreign market. Furthermore, we quantify potential effects on regulatory capital requirements.     

The bright and dark side of staging: Investment performance and the varying motivations of private equity firms

Previous papers that examined investment decisions by private equity funds are divided on whether staging has a positive or negative effect on returns. We believe these opposing views can be reconciled by studying when staging is used during the life of the investment relationship: We find that staging has a positive effect on investment returns in the beginning of the investment relationship, consistent with the notion that staging helps mitigate information asymmetry. However, staging appears to be negatively associated with returns when used prior to the exit decision. Our unique dataset allows us to measure these intertemporal effects precisely.