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Real estate is an important asset, but as a direct investment subject to several difficulties. Shares of public open end funds or of real estate stock corporations represent a possible way for an investor to avoid these problems. The focus of this paper is the analysis of inflation risk of European real estate securities. An overview of the institutional frameworks regarding these companies is given. The returns of real estate securities in France, Germany, Switzerland and the United Kingdom are examined for the period 1980:1-1998:12. Besides the classical Fama/Schwert-approach, shortfall risk measurements have been used. In this context, transaction costs in particular have been taken into account.
This dissertation consists of four self-contained chapters in the overlapping fields of industrial organization and organizational economics on the topics pricing, careers and supervision. Each chapter is the result of an independent research project. The dissertation analyzes empirical research topics by exploring novel observational data sets. It sheds light on open questions in the economic profession by extending fundamental models on pricing in the first two chapters and by challenging conventional explanations and methods on careers and supervision in the last two chapters.
- Chapter 1:
The first chapter is based on joint work with Steffen Eibelshäuser. It models price competition among brick-and-mortar retailers with business hours. Specifically, we propose a dynamic model of intraday price competition featuring spatial differentiation and firm size heterogeneity. The model makes detailed predictions concerning equilibrium-pricing patterns. When spatial differentiation is high and consumers cannot easily switch between retailers, equilibrium prices are stable at oligopoly levels. When differentiation is low, equilibrium prices fluctuate in cycles. The shapes of the cycles depend on the level of differentiation and on retailers’ reaction times. When reaction times decrease, the number of price cycles increases. In a second step, we apply the model to the German retail gasoline market. Gasoline retailers have been using digital price tags for decades and fast-paced price competition with more than ten price changes per day is no exception. Our model has successfully predicted the emergence of an additional intraday subcycle in April 2017. Moreover, we were able to confirm several detailed predictions concerning the shape of equilibrium price paths and individual firm behavior. Finally, we calibrate the model using a generalized method of moments. The model fits the data remarkably well, with coefficients of determination ranging from 60% to 80%. We use the fitted model to evaluate a number of policy counterfactuals. Restricting price increases results in higher prices and decreased welfare, leading us to conclude that regulation of dynamic markets is highly complex and can easily backfire.
- Chapter 2:
The second chapter analyzes the price-matching policies of two gasoline retailers. Customers of these retailers that are able to provide evidence of competitors posting lower prices have the ability to claim price matches. As shown in the first chapter, the Edgeworth Cycle model rationalizes price fluctuations in the German gasoline retail market. To determine policy interactions in cycling markets, this chapter extends the classical Edgeworth Cycle model by price-matching. The model predicts that price-matching retailers post higher prices and initiate price increases. The price-consulted firm anticipates this strategy, posts lower prices, and provokes the implementing firm to restore the price more frequently. Consulted stations also anticipate earlier price restoration reactions from implementing stations and, thus, provoke restorations earlier. This effect dominates in welfare calculations, such that price matching has positive welfare implications.
The second part of the chapter tests the hypotheses with price data on the German gasoline retail market. The estimation exploits a discontinuity in the policy-affected retailers. Therefore, the analysis disentangles the competitive effects of implementing and price-consulted market participants in comparison to retailers that are not affected. As predicted, the posted average and minimum prices of one implementing retailer and its consulted competitors increase. For the other price-matching retailer, I find reduced prices that contradict the model. The last part of the chapter relates the empirics to static models and shows that the dynamic component provides previously undiscovered insights.
- Chapter 3:
The third chapter is based on joint work with Emmanuelle Auriol and Guido Friebel. It represents the subtopic of careers in this dissertation. Specifically, the chapter provides the first comprehensive data collection analysis of women’s careers in all European research institutions in the field of economics. Using a web-scraping algorithm that constantly accesses position information on institutions’ websites, we collect a novel data set on researchers in Europe. These details entail information on researchers’ gender obtained by the first name and a face recognition. Similar to survey data on U.S. institutions, we identify a leaky pipeline, as women are less likely to become professors than men are. The situation is very heterogeneous across Europe. The gap is substantially larger in Western and Southern Europe than in Central and Eastern Europe. Furthermore, we identify institutions with a higher research output and a better research-ranking having a systematically lower share of females in full professor positions as well as entry-level positions for Ph.D. graduates. Austria, Belgium, Italy, Portugal, and Spain are the drivers for this correlation. All these results are in line with the “leaky pipeline” hypothesis, in which, over the different stages of a career, the attrition of women is higher than the one of men. We show that the cohort hypothesis arguing that the lag effect between the time of Ph.D. completion and the time of promotion to a full professorship is unable to explain the current low number of females.
- Chapter 4:
The fourth and last chapter "What does Mystery Shopping do?" is based on joint work with Sidney Block, Guido Friebel, Matthias Heinz, and Nick Zubanov. It addresses an auditing practice with a yearly U.S.-turnover of 19.5 billion USD in 2016 (European Society for Opinion and Market Research, 2017: Global Market Research 2017). The term mystery represents the key aspect of the tool. During an anonymous visit, so-called mystery shoppers perform certain predefined tasks such as purchasing a product, asking questions, registering complaints, or behaving in a certain way. Following their visit, the shoppers provide detailed reports about their experiences to the evaluated firms. The chapter investigates whether the practice is suitable to determine employees’ pay. Contrary to the general understanding that firms are able to observe service quality and, in turn, can proxy for business success with mystery shopping, we do not observe mystery-shopping evaluations to correlate positively with firm performance. A decomposition of the evaluation reports indicates that mystery-shopping scores are biased and the shopper’s identity explains up to 20% of the score’s variance. Thus, the shopper’s identity has the largest impact out of all observable characteristics. With the results that mystery-shopping scores are noisy and biased, we conclude that they are not suitable for performance pay in the context of our study. In addition, we show that if the number of observations is sufficiently large, aggregated scores relate to business success. The required number of shops per evaluation period must be, however, larger by a factor between 3 and 30 per evaluated subject. Hence, cost advantages of mystery shopping diminish such that the cost benefits to customer assessments could vanish completely. The current methodology, however, may still be useful for other employee-related purposes like monitoring, which is in line with the policies of the considered firms.
Past research suggests that international real estate markets show return characteristics and interrelationships with other asset classes, which probably qualify them as an interesting component of national and international asset allocation decisions. However, the special characteristics of real estate assets are quite distinct from that of financial assets, such as stocks and bonds. This is also the case for real estate return distributions. Therefore, the proper integration of real estate markets into asset allocation decisions requires profound understanding of real estate returns' distributional characteristics .
Because of the particular characteristics of real estate, representing real estate markets through reliable a time-series is a complex task. Consequently, reliable real estate indices with a sufficiently long history in major international real estate markets are only scarcely available. Most of the research that has been done on real estate returns was done for the U.K. and U.S., where eligible indices exist. On the other hand, in other important real estate markets, such as Germany, either little or no research has been perfoimed.
In this analysis, the methodology of Maurer, Sebastian and Stephan (2000) for indirectly deriving an appraisal-based index for the German commercial real estate market will be applied. This approach is solely based on publicly available data from German open-ended real estate investment trusts. It could also provide a solution to deriving a reliable real estate time-series for other markets.
We will extend previous analyses for the U.K. and U.S. to provide additional fundamental insights into the return characteristics of the German commercial real estate market. Despite univariate considerations, the main focus is the interrelationships between various international real estate markets, as well as between those respective markets and the international stock and bond markets.
The present paper seeks to study the possible diversification potential by the integration of indirect real estate investments in international portfolios. To this end, monthly index-return time-series in the time-period from January 1985 till December 1998 from real estate investment companies as well as common stocks and bonds in Germany, France, Switzerland, Great Britain and the USA were used. We utilize, due to the critical normal distribution assumption, a mean/lower-partial-moment framework. In order to take into account the influence of the currency risk for international investments the analyses have been undertaken both with as well as without hedging the currency risk. We take the viewpoint of a German as well as that of a US-investor to gain insight into the dependency of the diversification potential on the reference currency of the investor.
Pensions- und Finanzsysteme in Europa : ein Vergleich unter dem Gesichtspunkt der Komplementarität
(2001)
Die Debatte über die optimale Ausgestaltung der Alterssicherung wird in jüngster Zeit äußerst kontrovers und hitzig geführt. Dabei scheint uns ein zentraler Aspekt nicht genügend beachte zu werden: Welcher Zusammenhang besteht zwischen den Merkmalen des Finanzsystems und des Pensionssystems eines Landes? Weil dieser Zusammenhang wichtig sein könnte, wird in diesem Beitrag untersucht, ob es Unterschiede zwischen den Finanz- und Pensionssystemen in drei großen europäischen Ländern, Deutschland, Frankreich und Großbritannien, gibt, ob sich diese Unterschiede in charakteristischer Weise entsprechen und ob sich über diese Entsprechungen hinaus auch Wechselwirkungen zwischen dem Finanzsystem und dem Pensionssystem eines Landes nachweisen lassen.
Zur Beantwortung dieser Fragen wird in einem ersten Schritt kurz die Unterschiedlichkeit der Finanz- und Pensionssysteme zwischen den drei Ländern skizziert, und es werden parallelen zwischen diesen Unterschieden nachgewiesen. Daran anschließend werden die Zusammenhänge zwischen der Ausgestaltung der gesetzlichen Alterssicherung und der volkswirtschaftlichen Risikoallokation sowie der Ausgestaltung der betrieblichen Alterssicherung für die Unternehmensstrategien, -finanzierung und –verfassung betrachtet. Dabei lässt sich zeigen, dass es sowohl in Deutschland als auch in Großbritannien eine – wenn auch vollkommen unterschiedlich ausgeprägte – Komplementarität zwischen Finanz- und Pensionssystem gibt, während sich ein solcher Zusammenhang für Frankreich nicht konstatieren lässt. Abschließend werden wirtschaftspolitische Implikationen dieses Zusammenhangs angesprochen
The main argument in this paper is that new information and communication technologies (ICT) in the financial industry will increase specialisation and competition within the European financial centre system and thereby lead to a ‘re-bundling’ of functions of the various financial centres. Frankfurt plays an interesting role in this development as it is one of the main development centres for ‘financial technology’. With these technologies, remote access to the Frankfurt stock exchange and inter-bank payment system is now feasible from most European cities. This leads to a reduced need for physical presence, which opens up new possibilities for the financial sector’s spatial organisation. However, as financial production is information- and knowledge-intensive, spatial and other types of proximity between financial actors and clients are still essential in many stages. We examine the value chains of three different products (advisory, lending, trading) with regard to different proximities, in order to identify possible patterns of their spatial (re)organisation. From these findings, inferences are drawn for a ‘new’ role for Frankfurt in the European financial centre system.
Economic theory suggests that a commitment by a firm to increased levels of disclosure should lower the information asymmetry component of the firm’s cost of capital. But whi le the theory is compelling, so far empirical results relating increased levels of disclosure to measurable economic benefits have been mixed. One explanation for the mixed results among studies using data from firms publicly registered in the US is that, under current US reporting standards, the disclosure environment is already rich. In this paper, we study German firms that have switched from the German to an international reporting regime (IAS or US -GAAP), thereby committing themselves to increased le vels of disclosure. We show that proxies for the information asymmetry component of the cost of capital for the switching firms, namely the bid-ask spread and trading volume, behave in the predicted direction compared to firms employing the German reporti ng regime.
Der vorliegende Beitrag führt eine detaillierte empirische Untersuchung über die Rolle der amtlichen Kursmakler an der Frankfurter Wertpapierbörse durch. Der verwendete Datensatz erlaubt eine Analyse des Einflusses der Maklertätigkeit auf Liquidität und Volatilität sowie eine Beurteilung der Profitabilität der Eigengeschäfte.
Die Beteiligung der Makler am Präsenzhandel ist erheblich. Ihre Eigengeschäfte machen über 20% des Handelsvolumens zu gerechneten Kursen und über 40% des Handelsvolumens im variablen Handel aus. Für letzteren wird zudem dokumentiert, daß die Tätigkeit der Makler zu einer deutlichen Reduktion der Geld-Brief-Spannen beiträgt. Die letztendlich gezahlte effektive Spanne beträgt im Durchschnitt weniger als ein Drittel der Spanne, die sich aus dem Orderbuch ergibt.
Für den Handel zu gerechneten Kursen wird gezeigt, daß die Preisfeststellung durch die Makler zu einer Verringerung der Volatilität führt. Eine Beurteilung des Einflusses der Makler auf die Volatilität im fortlaufenden Handel scheitert daran, daß das hierfür teilweise verwendete Maß, die Stabilisierungsrate, nach unserer Einschätzung keine aussagekräftigen Resultate liefert.
Die Makler erzielten während unseres Untersuchungszeitraums im Durchschnitt keinen Gewinn aus ihren Eigengeschäften. Eine Zerlegung der Gewinne in zwei Komponenten zeigt, daß positive Spannengewinne im Aggregat nicht für entstehende Positionierungsverluste kompensieren können.
Insgesamt zeigt unsere Untersuchung, daß die Kursmakler an den deutschen Wertpapierbörsen einen Beitrag zur Sicherung der Marktqualität leisten. Die Konsequenzen dieser Resultate für die Organisation des Aktienhandels in Deutschland werden diskutiert.
Kursänderungen auf Aktienmärkten können informationsinduziert durch neu zu verarbeitende Informationen oder liquiditätsinduziert durch kurzfristige Angebots- bzw. Nachfrageüberhänge auftreten. Diese zwei so unterschiedlich verursachten Kursreaktionen sind in empirischen Untersuchungen nur schwer zu trennen. Das Modell von Easley, Kiefer, O’Hara und Paperman (1996) bietet eine theoretische Basis zur separaten Erfassung von liquiditätsorientiertem und informationsbasiertem Handel und eröffnet darüber hinaus auch einen Weg zur empirischen Quantifizierung dieser Größen.
In der vorliegenden Untersuchung nutzen wir diesen Ansatz zur Analyse des Handels deutscher Aktien über das Computerhandelssystem IBIS. Dabei zeigt sich, daß innerhalb der DAX-Werte Informationsereignisse bei den sehr stark gehandelten Aktien nicht häufiger als bei weniger oft gehandelten Werten auftreten. Die Unterschiede im Handelsvolumen sind auf unterschiedlich starke Handelsaktivität sowohl informierter als auch uninformierter Marktteilnehmer zurückzuführen. Weiterhin zeigt sich, daß das Risiko, mit informierten Marktteilnehmern zu handeln, bei den sehr umsatzstarken Aktien am geringsten ist.
In Einklang mit dem sogenannten Montagseffekt ist die Wahrscheinlichkeit für das Auftreten von negativen Informationsereignissen zu Wochenanfang besonders groß. Dieses Ergebnis könnte durch eine Tendenz von Managern erklärt werden, negative Informationen freitags nach Börsenschluß zu veröffentlichen. Eine getrennte Untersuchung für Handelstage mit niedriger und solche mit hoher Volatilität zeigt, daß an Handelstagen mit höherer Volatilität die Handelsintensität sowohl informierter als auch uninformierter Investoren größer ist. Auch die Wahrscheinlichkeit, an solchen Tagen mit besser informierten Marktteilnehmern zu handeln, steigt. Dieser Anstieg ist allerdings nicht statistisch signifikant.