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Central banks unexpectedly tightening policy rates often observe the exchange value of their currency depreciate, rather than appreciate as predicted by standard models. We document this for Fed and ECB policy days using event studies and ask whether an information effect, where the public attributes the policy surprise to an unobserved state of the economy that the central bank is signaling by its policy may explain the abnormality. It turns out that many informational assumptions make a standard two- country New Keynesian model match this behavior. To identify the particular mechanism, we condition on multiple asset prices in the event study and model implications for these. We find that there is heterogeneity in this dimension in the event study and no model with a single regime can match the evidence. Further, even after conditioning on possible information effects driving longer term interest rates, there appear to be other drivers of exchange rates. Our results show that existing models have a long way to go in reconciling event study analysis with model-based mechanisms of asset pricing.
The Multilingual Assessment Instrument for Narratives (MAIN) is part of LITMUS (Language Impairment Testing in Multilingual Settings). LITMUS is a battery of tests that have been developed in connection with the COST Action IS0804 Language Impairment in a Multilingual Society: Linguistic Patterns and the Road to Assessment (2009−2013).
In these volumes, we are very pleased to present a collection of papers based on talks and posters at Sinn und Bedeutung 22, which took place in Berlin and Potsdam on September 7-10, 2017, jointly organized by the Leibniz-Centre for General Linguistics (ZAS) and the University of Potsdam.
SuB22 received 183 submitted abstracts. Out of these, the organizing committee selected 39 oral presentations in the main session, 4 oral presentations in the special session ‘Semantics and Natural Logic’, and 24 poster presentations. There were an additional 6 invited talks. In total, 58 of these contributions appear in paper form in the present volumes.
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 classical approaches to asset allocation give very different conclusions about how much foreign stocks a US investor should hold. US investors should either allocate a large portion of about 40% to foreign stocks (which is the result of mean/variance optimization and the international CAPM) or they should hold no foreign stocks at all (which is the conclusion of the domestic CAPM and mean/variance spanning tests). There is no way in between.
The idea of the Bayesian approach discussed in this article is to shrink the mean/variance efficient portfolio towards the market portfolio. The shrinkage effect is determined by the investor's prior belief in the efficiency of the market portfolio and by the degree of violation of the CAPM in the sample. Interestingly, this Bayesian approach leads to the same implications for asset allocation as the mean-variance/tracking error criterion. In both cases, the optimal portfolio is a combination of the market portfolio and the mean/variance efficient portfolio with the highest Sharpe ratio.
Applying both approaches to the subject of international diversification, we find that a substantial home bias is only justified when a US investor has a strong belief in the global mean/variance efficiency of the US market portfolio and when he has a high regret aversion of falling behind the US market portfolio. We also find that the current level of home bias can be justified whenever-regret aversion is significantly higher than risk aversion.
Finally, we compare the Bayesian approach of shrinking the mean/variance efficient portfolio towards the market portfolio to another Bayesian approach which shrinks the mean/variance efficient portfolio towards the minimum-variance portfolio. An empirical out-of-sample study shows that both Bayesian approaches lead to a clearly superior performance compared to the classical mean/variance efficient portfolio.
Predictability and the cross-section of expected returns: a challenge for asset pricing models
(2020)
Many modern macro finance models imply that excess returns on arbitrary assets are predictable via the price-dividend ratio and the variance risk premium of the aggregate stock market. We propose a simple empirical test for the ability of such a model to explain the cross-section of expected returns by sorting stocks based on the sensitivity of expected returns to these quantities. Models with only one uncertainty-related state variable, like the habit model or the long-run risks model, cannot pass this test. However, even extensions with more state variables mostly fail. We derive criteria models have to satisfy to produce expected return patterns in line with the data and discuss various examples.
The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the ”Natural Language Toolkit” that uses machine learning models to extract the news’ sentiment. We consider the period from January till June 2020 and analyze 203,886 online articles that deal with the pandemic and that were published on three platforms: MarketWatch.com, Reuters.com and NYtimes.com. Our findings show that there is a significant and positive relationship between sentiment score and market returns. This result indicates that an increase (decrease) in the sentiment score implies a rise in positive (negative) news and corresponds to positive (negative) market returns. We also find that the variance of the sentiments and the volume of the news sources for Reuters and MarketWatch, respectively, are negatively associated to market returns indicating that an increase of the uncertainty of the sentiment and an increase in the arrival of news have an adverse impact on the stock market.
Using experimental data from a comprehensive field study, we explore the causal effects of algorithmic discrimination on economic efficiency and social welfare. We harness economic, game-theoretic, and state-of-the-art machine learning concepts allowing us to overcome the central challenge of missing counterfactuals, which generally impedes assessing economic downstream consequences of algorithmic discrimination. This way, we are able to precisely quantify downstream efficiency and welfare ramifications, which provides us a unique opportunity to assess whether the introduction of an AI system is actually desirable. Our results highlight that AI systems’ capabilities in enhancing welfare critically depends on the degree of inherent algorithmic biases. While an unbiased system in our setting outperforms humans and creates substantial welfare gains, the positive impact steadily decreases and ultimately reverses the more biased an AI system becomes. We show that this relation is particularly concerning in selective-labels environments, i.e., settings where outcomes are only observed if decision-makers take a particular action so that the data is selectively labeled, because commonly used technical performance metrics like the precision measure are prone to be deceptive. Finally, our results depict that continued learning, by creating feedback loops, can remedy algorithmic discrimination and associated negative effects over time.
In this paper we adopt the Hamiltonian Monte Carlo (HMC) estimator for DSGE models by implementing it into a state-of-the-art, freely available high-performance software package. We estimate a small scale textbook New-Keynesian model and the Smets-Wouters model on US data. Our results and sampling diagnostics confirm the parameter estimates available in existing literature. In addition we combine the HMC framework with the Sequential Monte Carlo (SMC) algorithm which permits the estimation of DSGE models with ill-behaved posterior densities.
In these volumes, we are very pleased to present a collection of papers based on talks and posters at Sinn und Bedeutung 22, which took place in Berlin and Potsdam on September 7-10, 2017, jointly organized by the Leibniz-Centre for General Linguistics (ZAS) and the University of Potsdam.
SuB22 received 183 submitted abstracts. Out of these, the organizing committee selected 39 oral presentations in the main session, 4 oral presentations in the special session ‘Semantics and Natural Logic’, and 24 poster presentations. There were an additional 6 invited talks. In total, 58 of these contributions appear in paper form in the present volumes.
Incentivized experiments in which individuals receive monetary rewards according to the outcomes of their decisions are regarded as the gold standard for preference elicitation in experimental economics. These task-related real payments are considered necessary to reveal subjects' "true preferences". Using a systematic, large-sample approach with three subject pools of private investors, professional investors, and students, we test the effect of task-related monetary incentives on risk preferences elicited in four standard experimental tasks. We find no systematic differences in behavior between subjects in the incentivized and non-incentivized regimes. We discuss implications for academic research and for applications in the field.
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.
Access to loans and other financial services is extremely valuable for micro-, small- and medium-sized enterprises in developing and transition countries as it enables their owners as well as their employees to exploit their economic potential and to increase their income. Although this insight has lead development aid institutions to undertake many attempts to create sustainable microfinance institutions, only a small fraction of these has been successful so far. This article analyses what determines the success of attempts to provide financial services in general, and credit in particular, to low income target groups in these countries. We argue that it is crucial to understand, and to mitigate or even eliminate in practice, the serious and numerous incentive problems at the level of the lending operations as well as those at the levels of the human resource management and the governance of microfinance institutions. We attempt to show moreover, that unsolved incentive problems at only one level will ultimately undermine any potential success at the other levels. In our paper, we first analyse information and incentive problems from a theoretical perspective, using and extending the well-known Stiglitz-Weiss model of credit rationing, and derive theoretical requirements for solutions of these problems. In the light of these considerations, we then discuss how problems are solved in practice. Section 3 deals with the credit relationship. Section 4 extends the argument by showing how incentive problems within the institution can be handled, and section 5 analyses corporate governance-related problems of development finance institutions as incentive problems. In section 6 it is demonstrated why, and how, the incentive problems at the different levels, as well as their solutions, are interrelated. From this we derive the proposition that, as the institutional devices for dealing with these problems constitute a complementary system, any sustainable solution requires consistent arrangements of all elements and at all levels of the system. In the last section we will show the potential of strategic networks to set up institutions which we consider to be consistent systems for successfully solving the problems at all three levels simultaneously.
Insider trading and portfolio structure in experimental asset markets with a long lived asset
(1997)
We report results of a series of nine market experiments with asymmetric information and a fundamental value process that is more "realistic" than those in previous experiments. Both a call market institution and a continuous double auction mechanism are employed. We find considerable pricing inefficiencies that are only partially exploited by insiders. The magnitude of insider gains is analyzed separately for each experiment. We find support for the hypothesis that the continuous double auction leads to more efficient outcomes. Finally, we present evidence of an endowment effect: the initial portfolio structure influences the final asset holdings of experimental subjects.
During the last years issues of strategic management accounting have received widespread attention in the accounting literature. Yet the conceptual foundation of most proposals is not clear. This paper presents a theoretical analysis of one of the most prominent approaches of strategic management accounting, i.e., Target Costing. First, the relationship between Target Costing and Life-Cycle-Costing is shown. Secondly, a model based on a mechanism-design-approach is used to answer the question of whether the „Market-into-Company“-method of Target Costing can somehow be endogenized. The model captures problems of asymmetric information, price policy and cost structures (i.e. learning effects etc.). The analysis shows that the more „strategic“ is the firm´s cost function, the less valid is „strategic“ management accounting in terms of the usual way Target Costing is employed.
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.
Traditional tests of the CAPM following the Fama / MacBeth (1973) procedure are tests of the joint hypotheses that there is a relationship between beta and realized return and that the market risk premium is positive. The conditional test procedure developed by Pettengill / Sundaram / Mathur (1995) allows to independently test the hypothesis of a relation between beta and realized returns. Monte Carlo simulations show that the conditional test reliably identifies this relation. In an empirical examination for the German stock market we find a significant relation between beta and return. Previous studies failed to identify this relationship probably because the average market risk premium in the sample period was close to zero. Our results provide a justification for the use of betas estimated from historical return data by portfolio managers.
In international accounting literature there are various approaches to assess the quality of national accounting systems with respect to specific key functions, e.g. the intensity of capital market information. An empirical approach often used measures the quality of disclosure by ranking the national systems with the so-called "disclosure index" (e.g. Choi 1973, Barret 1975, Cooke 1992, Taylor/ Zarzeski 1996). Concentrating on disclosure regulation in contrast to accounting practices, Cooke/ Wallace 1990 construct an index which measures the "degree of financial regulation". They identify groups of countries which can be clearly classified in highly regulated, regulated and moderately regulated national accounting systems.
In our analysis, we want to enrich the idea of the degree of financial disclosure regulation to a concept for evaluating the degree of determination of financial measurement. Assuming that a high degree of determination of a national accounting system leads to more comparable accounts than a low degree, the index can be interpreted as a quality measure of national accounting systems according to the intensity of capital market information. The following hypothesis is to be proved: the degree of disclosure regulation equals the degree of measurement regulation in order to serve the information needs of the national capital markets.
Three groups of different degrees of determination for national accounting systems can be easily identified which are compared to the results of Cooke/ Wallace. For some of the national systems the above hypothesis seems to be appropriate whereas some opposing results can be shown. Possible explanations are presented which can be causally related to these diverging results. They are based on historical developments, the differentiation between rules for individual and group accounts, and on conditions where different degrees seem plausible.
This paper provides a detailed empirical analysis of the call auction procedure on the German stock exchanges. The auction is conducted by the Makler whose position resembles that of a NYSE specialist. We use a dataset which contains information about all individual orders for a sample of stocks traded on the Frankfurt Stock Exchange (FSE). This sample allows us to calculate the cost of transacting in a call market and compare them to the costs of transacting in a continuous market. We find that transaction costs for small transactions in the call market are lower than the quoted spread in the order book of the continuous market whereas transaction costs for large transactions are higher than the spread in the continuous market.
We further address the question whether active participation of the Makler is advantageous. On the one hand he may accomodate order imbalances, increase the liquidity of the market and stabilize prices. On the other hand, the discretion in price setting gives him an incentive to manipulate prices. This may increase return volatility. Our dataset identifies the trades the Maklers make for their own accounts. We eliminate these trades and determine the price that would have obtained without their participation. Comparing this hypothetical price series to the actual transaction prices, we find that Makler participation tends to reduce return volatility. A further analysis shows that the actual prices are much closer to the surrounding prices of the continuous trading session than the hypothetical prices that would have obtained without Makler participation. These results indicate that the Maklers provide a valuable service to the market. We further calculate the profits associated with the positions taken by the Maklers and find that, on average, they do not earn profits on the positions they take. Their compensation is thus restricted to the commissions they receive.