Long memory in volatilities of German stock returns

We show that there is strong evidence of long-range dependence in the volatilities of several German stock returns. This will be done by applying a method using the difference of the classical log-periodogram regression estimator for the memory parameter and of the tapered periodogram based estimator. Both estimators give similar values for the memory parameter for each series and this indicates long memory. To support our findings we apply also a methodology using the sample variance and a wavelet based estimator to the data. Also these two methods show clear evidence of long-range dependence in the volatilities of German stock returns.First version received: December 2001/Final version received: March 2003The computational assistance of Eleni Mitropoulou and Björn Stollenwerck as well as the helpful comments of two unknown referees are gratefully acknowledged. Research supported by Deutsche Forschungsgemeinschaft under SFB 475. Stock returns were obtained from Deutsche Finanzdatenbank (DFDB), Karlsruhe.     

Monetary Policy and Financial Markets

Monetary policy and financial markets are intrinsically linked. Central banks conduct monetary policy by influencing financial market prices. Financial market prices reflect the expectations of market participants about future economic and monetary developments. Monetary policy works primarily through expectations. Transparency and credibility render monetary policy more effective. However, they are no substitutes for action. If a credible central bank uses words with the explicit aim of substituting them for action, it will risk losing credibility. To avoid what has been described as “the dog chasing its tail” problem, central banks must exercise caution in basing their monetary policy decisions on financial market information. The information about expected future developments reflected in market prices must be continuously cross-checked against economic and monetary indicators in what amounts to a “checks and balances” approach to monetary policy.     

Enhancing Stock Market Return with New Product Preannouncements: The Role of Information Quality and Innovativeness

To advance development and application of signaling theory in the new product preannouncement literature while seeking to resolve ambiguity regarding the influence of innovativeness on stock market return, the role of information quality is examined. Specifically, this study investigates the effect of innovativeness across low and high levels of information quality. The results, ascertained using event study methodology on a sample of 243 new product preannouncements collected over a nine‐year period, indicate that higher information quality increases the strength of the positive relationship between innovativeness and stock market return. The findings offer managers insight into what role information quality plays in new product preannouncements that can help their firms generate higher stock market return.     

Improving the effectiveness of nondisclosure agreements by strengthening concept learning

Intellectual property infringements rank among the top economic crimes, even though there are mechanisms in place to prevent their occurrence. One such mechanism are nondisclosure agreements, which, however, have been reported to fail in practice. This article argues that this may be overcome by strengthening employees’ concept learning. In an experiment, we investigated whether extended nondisclosure agreements, which provide the employee with detailed explanations and examples, lead to better recognition of trade secrets as compared to a standard nondisclosure agreement or no agreement at all. It was found that the extended nondisclosure agreement indeed increased participants’ ability to judge what falls under the trade secret law, whereas the standard nondisclosure agreement showed no such effect. Furthermore, the effects of the factors ‘Involvement’, ‘Specificity’, ‘Publicity’, and ‘Purpose’ on the identification of trade secrets could be proven experimentally. Employees’ judgments of whether an information represents a trade secret seem to rely on general cognitive processes. From this follows that concept learning could be integrated into systematic approaches for protecting intellectual property.     

THE DYNAMICS OF REAL EXCHANGE RATES: A RECONSIDERATION

In this paper we offer a bootstrap‐based version of the Cox specification test for non‐nested hypothesis to discriminate between ESTAR and MSAR models. Both models are commonly used for modeling real exchange rates dynamics. We show that the test has good size and power properties in finite samples. In an application, we analyze several major real exchange rates to shed light on the question of which model describes these processes best. This allows us to draw conclusions about the driving forces of real exchange rates. Copyright © 2013 John Wiley & Sons, Ltd.     

Endogenous Property Rights in a Hold‐up Experiment

In a hold‐up experiment designed to test theoretical predictions following from Hart and deMeza and Lockwood regarding investment behavior, Sonnemans, Oosterbeek and Sloof (SOS) find only a partial confirmation of theory. According to SOS these deviations from standard theory can be explained by positive reciprocal behavior. In this paper, we replicate the experiment by SOS and add another group of treatments in which asset ownership is endogenized by auctioning off the assets. Our experiment shows that the results by SOS crucially depend on the ownership structure being exogenously assigned by the experimenter. We present experimental evidence that, by and large, corroborates the theoretical predictions made by Hart.     

Trade and the Environment: The Role of Firm Heterogeneity

In this paper, we derive a new effect of trade liberalization on the quality of the environment. We show that in the presence of heterogeneous firms, the aggregate volume of emissions is influenced by a reallocation effect resulting from an increase in the relative size of more productive firms. The relative importance of this reallocation effect and the scale effect well‐known from the literature is affected by the emission intensity at the firm level. Domestic emissions decrease as a result of a unilateral tariff reduction if and only if firm‐specific emission intensity decreases strongly with increasing firm productivity. As a result of the induced change in foreign emissions, domestic pollution can increase even if domestic emissions decrease.     

Aufdeckung von Versicherungsbetrug bei Kfz-Schäden mit Hilfe des Benford-Tests

The German Insurance Association estimates a yearly amount of damage of € 1.5?bn to German motor vehicle insurance companies because of systematic fraud by insurance holders. It is supposed that about 10% of submitted claim applications contain manipulated data, therefore insurance companies are forced to complete a detailed and cost intensive case-by-case review of each single application. An alternative method to detect fraud in empiric data is the method of digital analysis based on Benford’s law. The Benford method uses a mathematical law of specific logarithmic distribution attributes of first digits. According to this approach, the data of a Benford set confirm with the expected digit distribution, if the data is not manipulated, whereas fraudulent interventions lead to a deviation from Benford’s law. Hence, until now there has not been any investigation whether the Benford method can also be applied on insurance data. The present article analyses a dataset consisting of more than 120,000 damage claim applications to answer this question as well as to identify the impact of specific characteristics on the probability of fraud contained in claim applications, such as the repair of the vehicle in a franchised or an independent workshop, the vehicle brand or the examination by insurance companies experts. Indeed it could be shown that Benford’s Law is only applicable on second digits of insurance data, but delivers very strong results here: All results of the considered characteristics could be verified by plausible arguments. For this reason insurance companies can benefit from making use of the Benford method to identify those claim applications with a high probability of fraud, which should then be reviewed in more detail so that resources can be allocated in a much more cost efficient way.