A macroeconomic perspective on Knowledge Management

This paper provides a theory of the interactions between knowledge codification, firm-level organization structures, information diffusion and the dynamics of technological competition. At the firm level, we focus on incentives to design Knowledge Management policies based on the codification of soft into hard information. At the aggregate level, we discuss the endogenous nature of knowledge spillover and the implications for macroeconomic growth. The model predicts the existence of a bell shaped relationship between knowledge codification and technological competition.     

Transmission of Nominal Exchange Rate Changes to Export Prices and Trade Flows and Implications for Exchange Rate Policy*

We discuss how the welfare ranking of fixed and flexible exchange rate regimes in a New Open Economy Macroeconomics model depends on the interplay between the degree of exchange rate pass‐through and the elasticity of substitution between home and foreign goods. We identify combinations of these two parameters for which flexible and fixed exchange rates are superior with respect to welfare as measured by a representative household's utility level. We estimate the two parameters for six non‐EMU European countries (Czech Republic, Hungary, Poland, Slovakia, Sweden, and the UK) using a heterogeneous dynamic panel approach.     

Intra- and international risk-sharing in the short run and the long run

We investigate empirically how industrialized countries and US states share consumption risk at horizons between 1 and 30 years. US federal states share about 50% of their permanent idiosyncratic risk through cross-state capital income flows. While insurance against transitory fluctuations in output is virtually complete, OECD countries do not share any of their permanent idiosyncratic risk. Our results suggest that purely transaction cost based theories cannot explain the home bias, since the potential welfare gains from insurance against permanent shocks would by far outweigh that of insuring against transitory variation. We conclude that permanent and transitory shocks constitute two qualitatively different kinds of risk and that various forms of endogenous market incompleteness may render permanent shocks a lot harder to insure, in particular at the international level.     

Was unterscheidet die Mediatisierungsforschung von der Medienwirkungsforschung?

For three reasons, mediatization research is not a variant of traditional media effects research, but should rather be considered an approach in its own right. First, rather than on individuals, attention is focused on structures that are changed by the individuals’ orientation to the media. Individual behavior is nothing but an indicator of structural aspects. Second, besides direct media effects on the people who use them, indirect media effects are included in analyses. “Indirect” refers to effects of media-induced behavior change of media users on other persons who do not necessarily know themselves what the media have to offer. As they are often very influential, the protagonists of media coverage (that is: those on whom the media report) are of special importance in this respect. Third, causal explanations of media effects are supplemented by functional ones. Social actors are considered individuals who behave according to their intentions. They adjust their behavior to the requirements of the social environment they act in, and the media on whose resonance they depend.     

Bias-correcting the realized range-based variance in the presence of market microstructure noise

Market microstructure noise is a challenge to high-frequency based estimation of the integrated variance, because the noise accumulates with the sampling frequency. This has led to widespread use of constructing the realized variance, a sum of squared intraday returns, from sparsely sampled data, for example 5- or 15-minute returns. In this paper, we analyze the impact of microstructure noise on the realized range-based variance and propose a bias correction to the range-statistic. The new estimator is shown to be consistent for the integrated variance and asymptotically mixed Gaussian under simple forms of microstructure noise. We can select an optimal partition of the high-frequency data in order to minimize its asymptotic conditional variance. The finite sample properties of our estimator are studied with Monte Carlo simulations and we implement it using Microsoft high-frequency data from TAQ. We find that a bias-corrected range-statistic often leads to much smaller confidence intervals for the integrated variance, relative to the realized variance. We should like to thank an anonymous referee and the associate editor for insightful comments on an earlier draft. Parts of this paper were written while Kim Christensen was at the University of California, San Diego, whose hospitality is gratefully acknowledged. Mark Podolskij received financial support from CREATES funded by the Danish National Research Foundation, and Mathias Vetter was supported by the Deutsche Forschungsgemeinschaft grant SFB 475 “Reduction of Complexity in Multivariate Data Structures.” The code for this paper was written in the Ox programming language, due to Doornik (2002). All views expressed here are those of the authors and do not necessarily represent the views of Nordea.     

Fine‐Tuning a Corporate Hedging Portfolio: The Case of an Airline

Industrial companies typically face a multitude of risks that could cause significant fluctuations in their cash flow. This is a case study of the hedging strategy adopted by an international air carrier to manage its jet‐fuel price exposure. The airline's hedging approach uses “strips” of monthly collars constructed with Asian options whose payoffs are based on average of “within‐prompt‐month” oil prices. Using the carrier's own implicit objective function based on an annual granularity, the authors show how the air carrier could fine‐tune its current hedge portfolio by adding tailored exotic options. The article describes annual average‐price options, provides an explicit valuation of them, and considers how such instruments may affect corporate liquidity. Consistent with its annual objective function, the airline made this exotic derivative the central tool to hedge across all potential realized values of annual jet‐fuel spot prices. The authors believe this modified portfolio is better suited to address the firm's hedging cost and its overall exposure to jet‐fuel price fluctuations.     

Gestaltung von Tarifen für kommunikationsfähige Messsysteme im Verbund mit zeitvariablen Stromtarifen

In Germany too, communication-capable electricity metering systems (CMS) together with time-based differentiation of kWh-rates for energy consumption are increasingly proliferated among household customers. Nevertheless, empirical evidence with respect to preferences of members of this customer group for the design of CMS tariff elements and of time-variant electricity consumption rates is still scarce. The present study captures such preferences by means of conjoint analysis of data obtained in an online survey of 754 German-speaking adults. Examined CMS tariff elements are a one-off installation fee and monthly recurring use charges. The studied characteristics of time-based rates are the number of time/tariff blocks, the maximum spread between kWh-rates for different time windows and the adaptability/predictability of kWh-rates. Most respondents judged multidimensional CMS and electricity consumption tariff offerings mainly in light of the CMS tariff characteristics. The vast majority of the participants perceived kWh-rates, which may change with a minimum lead time of one day as reducing the benefit of CMS and consumption tariff bundles. Tariff preferences on the one hand were only rarely significantly related to customers’ socio-demographic and electricity procurement characteristics as well as their CMS-related expectations/assessments on the other. The willingness to accept CMS-related one-off installation and recurring service charges as well as the propensity to opt for time-dependent electricity consumption tariff variants differing clearly from non-differentiated electricity price schemes appear to be positively affected by customers’ practical application experience with CMS and time-variant electricity consumption rates. Conclusions are drawn for energy suppliers seeking to propagate CMS-based time-variant tariffs among household customers in Germany and for future scholarly research.     

Using announcement options in the bid construction phase for disaster relief procurement

This paper presents an analysis of the bid construction phase of procurement auctions in disaster relief and humanitarian logistics. Substitution and partial fulfillment options are presented in formulations to allow bidders with fewer inventories to offer substitute item types and partial bids in auctions. During the auction announcement phase, a coordinating platform for disaster locations (i.e., auctioneer) allows substitution and partial fulfillment options to the relief suppliers (i.e., bidders) when acceptable. Thus, suppliers with fewer inventories can offer substitute item types and participate in more auctions by partially bidding. A genetic algorithm, a simulated annealing algorithm and an integer program are used for the analysis of the bid construction phase with different announcement options. Heuristic solution techniques and an IP formulation help understand the dynamics of the bid construction problem. It is shown that the addition of substitution and partial fulfillment options is essential to diversify and increase the usable capacity of the supplier base. Additionally, the partial fulfillment option enables better usage of supplier inventories in an environment with scarce supplies.