Does a central clearing counterparty reduce liquidity needs?

This study investigates whether and how central clearing influences the overall liquidity needs in a network of financial obligations. Utilizing the approach of flow network theory, we show that the effect of adding a central clearing counterparty (CCP) is decomposed into two effects: central routing, and central netting effects. Each effect can produce different liquidity needs according to different liquidity scenarios. The analysis indicates that adding a CCP in times of financial distress successfully reduces the overall liquidity needs if and only if the netting efficiency of the CCP is sufficiently high. Furthermore, once the economy is no longer in financial distress, higher netting efficiency of the CCP could conversely increase the overall liquidity needs. The results have implications for the effectiveness of CCPs in mitigating systemic risk in times of financial distress, and their operating costs once the distress has passed.     

“Speculative Influence Network” during financial bubbles: application to Chinese stock markets

We introduce the Speculative Influence Network (SIN) to decipher the causal relationships between sectors (and/or firms) during financial bubbles. The SIN is constructed in two steps. First, we develop a Hidden Markov Model (HMM) of regime-switching between a normal market phase represented by a geometric Brownian motion and a bubble regime represented by the stochastic super-exponential Sornette and Andersen (Int J Mod Phys C 13(2):171–188, 2002) bubble model. The calibration of the HMM provides the probability at each time for a given security to be in the bubble regime. Conditional on two assets being qualified in the bubble regime, we then use the transfer entropy to quantify the influence of the returns of one asset i onto another asset j, from which we introduce the adjacency matrix of the SIN among securities. We apply our technology to the Chinese stock market during the period 2005–2008, during which a normal phase was followed by a spectacular bubble ending in a massive correction. We introduce the Net Speculative Influence Intensity variable as the difference between the transfer entropies from i to j and from j to i, which is used in a series of rank ordered regressions to predict the maximum loss (%MaxLoss) endured during the crash. The sectors that influenced other sectors the most are found to have the largest losses. There is some predictability obtained by using the transfer entropy involving industrial sectors to explain the %MaxLoss of financial institutions but not vice versa. We also show that the bubble state variable calibrated on the Chinese market data corresponds well to the regimes when the market exhibits a strong price acceleration followed by clear change of price regimes. Our results suggest that SIN may contribute significant skill to the development of general linkage-based systemic risks measures and early warning metrics.     

Competitive moment matching of a New-Keynesian and an Old-Keynesian model

The paper considers two rival models referring to the new macroeconomic consensus: a standard three-equation model of the New-Keynesian variety versus dynamic adjustments of a business and an inflation climate in an ‘Old-Keynesian’ tradition. Over the two subperiods of the Great Inflation and Great Moderation, both of them are estimated by the method of simulated moments. An innovative feature is here that the moments do not only include the autocovariances up to eight lags of quarterly output, inflation and the interest rate, but optionally also a measure of the raggedness of the three variables. In short, the performance of the Old-Keynesian model is very satisfactory and similar to the New-Keynesian model, or even better. In particular, the Old-Keynesian model is better suited to match the new moments without deteriorating the original second moments too much.     

Obtaining collaboration benefits: the role of collaboration-specific investment and absorptive capacity in China

This study examines the role of collaboration-specific investment and absorptive capacity on the attainment of interorganizational collaboration benefits. Grounded in the extended resource-based view, and using survey data from Chinese executives, we study the driver for, and test the impacts of, collaboration-specific investment and organizational learning on collaboration performance. Our findings indicate that resource similarity between the collaborative partners affects the level of collaboration-specific investment and learning, and demonstrate an approach that firms can use to obtain both abnormal common and private benefits from participation in an interorganizational collaboration. Specifically, the findings suggest that collaboration-specific investment has a direct effect on the enhancement of absorptive capacity and attainment of common and private collaboration benefits. Furthermore, due to the direct effect of absorptive capacity on attainment of collaboration benefits, commitment of collaboration-specific investment has an indirect effect on the attainment of common and private collaboration benefits. This study is the first to apply both the competence-capability framework and extended resource-based view to study interorganizational collaboration. In fact, this study aims to determine mechanisms for a collaboration-participating firm to obtain more benefit, whether common or private. Our findings provide support for the importance of learning capability as a factor in the acquisition of collaboration benefits.     

Broadband Demand Analysis for Network Building

An increase of broadband demand is forecasted by transitional methods that consider the effect of this increase through many factors, such as customer requirement diversification, and new service introduction and deployment under competition. Broadband demand forecasting has become important for closing the digital divide, promoting regional developments, and constructing networks economically; therefore, a demand forecast model that considers the mechanisms of market structure is necessary. In this paper, a demand analysis method for broadband access combining macro- and micro-data mining is proposed, and the service choice behaviour of customers is introduced as a customer model not only to express the macro trend of market structure, but also to consider area marketing. The proposed method can estimate the potential demand, determine the point at which broadband demand growth peaks in a specified area, and support a decision for ultra high-speed broadband access facility installation.     

Der Begriff Lügenpresse in deutschen Tageszeitungen

In Germany, we currently see on-going changes in politics and society. More and more people seem to lose faith not only in politics, but also in the mainstream media. Since autumn 2014, the distrust in and suspicion of the news media has reached a new level: the group “Pegida” (Patriotic Europeans against the Islamization of the West) coined the term Lügenpresse (lying press) to illustrate their growing distrust in news media. The term lying press emerged for the first time in 1914 and was regularly used for war propaganda to defame foreign media. In general, the term is not only used by followers of a certain political direction, but in the context of different, especially antidemocratic, political movements (e.?g., during the National Socialist era or during the GDR era in Germany). Since the beginning of the 2000s, however, the concept has been increasingly referred to by right-wing groups (see Heine 2015; Klarmann 2013). Nevertheless, this is not only an issue in Germany, since Pegida has support in other European countries, such as Great Britain and the Netherlands.News media become part of their own coverage as soon as they refer to these developments. Self-discussion or self-coverage can be described as journalistic communication about journalism and means that the media themselves become the object of reporting. Hence, when media use the term lying press, they inevitably refer to themselves. The present study deals with how the media refer to the term lying press and how they reflect upon it. The main question we deal with in our study is how detailed the concept is reflected on and how the media deal with the associated reproach of deliberate misinformation.Drawing on the concept of framing, a content analysis is employed in order to analyze how newspapers report on the term, how they relate it to themselves and how they deal with its implications. The framing approach deals with the emergence, dissemination and alteration of interpretive frames, which are placed on an issue and determine the point of view on this topic. According to Matthes (2014), frames can be understood as a tool to highlight certain information or aspects of a topic while neglecting others. The framing approach deals with the genesis, alteration and effects of frames, which are located at various points in the communication process. In this study, we focus on media frames in the daily newspaper coverage. We rely upon the definition according to Entman (1993) which has been most frequently operationalized so far.We postulate several research questions that deal with the concept of self-coverage and framing. We are, for example, interested in verifying the sections of newspapers in which the term is referred to and if there are differences in how strongly the term is reflected upon. Furthermore, our research interest focuses on how the term is framed, which frames are dominant in the news media and if the frames change over time. We investigated the coverage of the five most widely circulated daily newspapers (Frankfurter Allgemeine Zeitung, Süddeutsche Zeitung, Bild, die Welt, and die tageszeitung) in Germany from October 2014 to October 2015. We discovered 304 articles with 338 statements referring to the term lying press. With a cluster analysis, we extracted four frames.Overall, the term lying press is more strongly reflected on in media sections than in political reporting. In political sections the term is often only mentioned without further contextualization. The four extracted clusters, which can be interpreted as media frames, are termed as follows: demanding author frame, reserved expert frame, external accusation frame, and unreflected author frame.In political sections of newspapers, the two rather undifferentiated frames (external accusation frame with 35% and unreflected author frame with 36%) are dominant. The reserved expert frame (35%) and the unreflected author frame (43%) are the two dominant frames in media sections. Nevertheless, the two most common frames (external accusation frame and unreflected author frame) do not use the term lying press in a critical and reflective way (combined percentage of 60%). The selection of the term as “non-word” of the year did not significantly change the frequency with which the four frames are used within the media.Our results show that the term lying press is used in different ways – but in most cases, there is only little or no elaboration. Frequently, the term is only mentioned without a deeper discussion and classification of the term and its meaning. It sometimes even seems that newspapers use the term ironically as a synonym for themselves instead of the terms media or press. However, the associated trivialization of a term carrying such negative connotations is problematic and could help to establish lying press as an unreflected designation for the media. The media might miss the opportunity to both react decisively to the accusations and to illustrate how important they are in a democratic society. The term must be placed in its historical context and should not be permitted as a flat-rate defamation. Whether the underlying criticism is justified or not, the media should discuss the term and, if possible, invalidate it. In this context, the media must perform their function of practicing criticism – also against themselves. Limitations and future research are discussed at the end of the paper.