Modelling economic hysteresis losses caused by sunk adjustment costs

Transition from one economic equilibrium to another as a consequence of shocks is often associated with sunk adjustment costs. Firm-specific sunk market entry investments (or sunk market exit costs) in case of a reaction to price shocks are an example. These adjustment costs lead to a dynamic supply pattern similar to hysteresis. In analogy to “hysteresis losses” in ferromagnetism, the authors explicitly model dynamic adjustment losses in the course of market entry and exit cycles. They start from the micro level of a single firm and use explicit aggregation tools from hysteresis theory in mathematics and physics to calculate dynamic losses. The authors show that strong market fluctuations generate disproportionately large hysteresis losses for producers. This could give a reason for the implementation of stabilizing measures and policies to prevent strong (price) variations or, alternatively, to reduce the sunk entry and exit costs.     

The AfD’s Winning Formula — No Need for Economic Strategy Blurring in Germany

Intereconomics - Western European Populist Radical Right Parties (PRRPs) have addressed the dispersed socio-economic status of their electorates by blurring their economic positioning. This...     

Innovation Offshoring,Institutional Context and Innovation Performance: A Meta‐Analysis

Innovation offshoring (IO) has become a widespread management practice. Yet, evidence on the performance implications is inconsistent, and scattered across disciplines and contexts. We argue that the benefits firms can derive from IO depend on the institutional environment at home. Drawing on recent work on institutional theory in international business, we explore institutions that facilitate reverse knowledge transfer and/or institutional arbitrage with respect to innovation‐related activities. The results of our meta‐analysis that synthesizes evidence from 48 samples show that IO is related positively to innovation performance. As predicted, this relationship is moderated by differences in the institutional environments across countries. Specifically, when national innovation systems are weak at home, IO appears to enable institutional arbitrage strategy whereas Confucian cultures enable more effective reverse knowledge transfer. However, contrary to our expectations, the beneficial effects of IO appear to have diminished over time.     

What is not beautiful should match: how attractiveness similarity affects consumer responses to advertising

This study introduces the concept of attractiveness similarity, empirically examines its main effect and whether it moderates the effect of endorser attractiveness on consumer responses to advertising. The results show a positive main effect of attractiveness similarity over and above the mere effect of endorser attractiveness. In addition, a consistent moderating effect of attractiveness similarity on the effect of endorser attractiveness emerges: attractiveness similarity buffers against the less positive effects of lower levels of endorser attractiveness (i.e., it compensates for lower levels of endorser attractiveness). Overall, these findings reveal attractiveness similarity as a new variable in endorser advertising, which has important managerial implications. Advertising campaigns employing averagely attractive endorsers should pay special attention to attractiveness similarity.     

The role of headquarters in multinational profit shifting strategies

This paper stresses the special role of multinational headquarters in corporate profit shifting strategies. Using a large panel of European firms, we show that multinational enterprises (MNEs) are reluctant to shift profits away from their headquarters even if these are located in high-tax countries. Thus, shifting activities in response to corporate tax rate differentials between parents and subsidiaries are found to be significantly larger if the parent has a lower corporate tax rate than its subsidiary and profit is thus shifted towards the headquarter firm. This result is in line with recent empirical evidence which suggests that MNEs bias the location of profits and highly profitable assets in favor of the headquarter location.     

PRICE SETTING OF MARKET MAKERS: A FILTERING PROBLEM WITH ENDOGENOUS FILTRATION

This paper studies the price‐setting problem of market makers under risk neutrality and perfect competition in continuous time. The classic approach of Glosten–Milgrom is followed. Bid and ask prices are defined as conditional expectations of a true value of the asset given the market makers' partial information that includes the customers' trading decisions. The true value is modeled as a Markov process that can be observed by the customers with some noise at Poisson times. A mathematically rigorous analysis of the price‐setting problem is carried out, solving a filtering problem with endogenous filtration that depends on the bid and ask price processes quoted by the market maker. The existence and uniqueness of the bid and ask price processes is shown under some conditions.     

Social Learning in Beauty‐Contest Games

We study the impact of social learning on the depth of reasoning in an experimental beauty‐contest game. Naive advice and observation of others' decisions as two forms of social learning trigger faster convergence to the equilibrium. We find that subjects who receive advice outperform uninformed subjects permanently, whereas subjects who observe others' past behavior before making their decision only have a temporary advantage over uninformed subjects. A series of control‐treatments and simulations indicate that the latter result is due to subjects failing to make the most out of observing others.     

How much is the gap?—Efficient jump risk-adjusted valuation of leveraged certificates

This paper develops a novel and highly efficient numerical algorithm for the gap risk-adjusted valuation of leveraged certificates. The existing literature relies on Monte Carlo simulations, which are not fast enough to be used in a market-making environment. This is because issuers need to compute thousands of price updates per second. By valuing leveraged certificates as multi-window barrier options, we explicitly model random jumps that occur at known times, such as between the exchange closing and re-opening. Our algorithm combines the one-day transition probability with Simpson’s numerical integration rule. This yields a backward induction scheme which requires a significantly coarser spatial and time grid than finite-difference methods. We confirm its robustness and accuracy through Monte Carlo simulations.