Forming and Dissolving Partnerships in Cooperative Game Situations

A group of players in a cooperative game are partners (e.g., as in the form of a union or a joint ownership) if the prospects for cooperation are restricted such that cooperation with players outside the partnership requires the accept of all the partners. The formation of such partnerships through binding agreements may change the game implying that players could have incentives to manipulate a game by forming or dissolving partnerships. The present paper seeks to explore the existence of allocation rules that are immune to this type of manipulation. An allocation rule that distributes the worth of the grand coalition among players is called partnership formation‐proof if it ensures that it is never jointly profitable for any group of players to form a partnership and partnership dissolution‐proof if no group can ever profit from dissolving a partnership. The paper provides results on the existence of such allocation rules for general classes of games as well as more specific results concerning well‐known allocation rules.     

A passage to India: A dual case study of activities,processes and resources in offshore outsourcing of advanced services

Research has shown that offshore outsourcing processes may influence the behavior and strategic choices of firms, but little is known about the determining factors that influence the evolution and outcomes of those processes. Furthermore, longitudinal studies able to generate such insights are lacking. This paper suggests a detailed, activity-based approach to the study of the process of offshore outsourcing of high-value, advanced service activities. While earlier research has considered either firm-internal or firm-external sources of resource building, this study offers a more comprehensive theoretical model that combines resource-based theory and international business network theory. It aims to investigate how determinants of the offshore outsourcing process contribute to the resource stocks of client firms. Based on two longitudinal case studies of offshore outsourcing to India, the study finds that offshore outsourcing operations, in general, make positive contributions to the resource stocks of client firms. Some determinants contribute to the building of resources (partnership commitment decisions, knowledge creation and learning, trust building, the interconnectedness of resources) while others impede resource building (time compression diseconomies, lack of resource mass efficiencies). Notably, the interconnectedness among onshore activities, offshore activities and the underpinning knowledge resources reduces the risk of erosion of client firm resources, although this remains a long-term risk.     

FLOWS OF THE PACIFIC: ASIAN FOREIGN EXCHANGE MARKETS THROUGH TRANQUILITY AND TURBULENCE

Using the longest data set on foreign exchange (FX) order flow to date, along with the broadest coverage of currencies to date, we examine the effect of FX order flow on exchange rates across small and large currencies, currencies with floating or fixed regimes, and across both tranquil and turbulent periods. Over our 15 years of data for 11 Asian and Australasian currencies, we find that order flow has a potentially strong impact on all exchange rates in the sample. The effect is strongest on floating exchange rates, both economically and statistically, but is sizeable also on the other exchange rates, especially during periods of turbulence. By creating a measure of regional order flow, we show that all exchange rates depreciate as flows are moved out of Asia/Australasia and into US dollars. This is true both across regimes and if their own flow is not included in the structure of the regional flow.     

Long memory in stock market volatility and the volatility-in-mean effect: The FIEGARCH-M Model

We extend the fractionally integrated exponential GARCH (FIEGARCH) model for daily stock return data with long memory in return volatility of Bollerslev and Mikkelsen (1996) by introducing a possible volatility-in-mean effect. To avoid that the long memory property of volatility carries over to returns, we consider a filtered FIEGARCH-in-mean (FIEGARCH-M) effect in the return equation. The filtering of the volatility-in-mean component thus allows the co-existence of long memory in volatility and short memory in returns. We present an application to the daily CRSP value-weighted cum-dividend stock index return series from 1926 through 2006 which documents the empirical relevance of our model. The volatility-in-mean effect is significant, and the FIEGARCH-M model outperforms the original FIEGARCH model and alternative GARCH-type specifications according to standard criteria.     

Continuous‐time models,realized volatilities,and testable distributional implications for daily stock returns

We provide an empirical framework for assessing the distributional properties of daily speculative returns within the context of the continuous‐time jump diffusion models traditionally used in asset pricing finance. Our approach builds directly on recently developed realized variation measures and non‐parametric jump detection statistics constructed from high‐frequency intra‐day data. A sequence of simple‐to‐implement moment‐based tests involving various transformations of the daily returns speak directly to the importance of different distributional features, and may serve as useful diagnostic tools in the specification of empirically more realistic continuous‐time asset pricing models. On applying the tests to the 30 individual stocks in the Dow Jones Industrial Average index, we find that it is important to allow for both time‐varying diffusive volatility, jumps, and leverage effects to satisfactorily describe the daily stock price dynamics. Copyright © 2009 John Wiley & Sons, Ltd.     

Knowledge flows through social networks in a cluster: Comparing university and industry links

Knowledge spillovers from a university to the local industry play an important role in high-technology clusters, but we know little about these spillovers. This paper examines empirically the extent of informal contacts between employees in firms and local university researchers in a wireless communications cluster. Furthermore, it analyses the features of an engineer who acquires knowledge from these informal contacts. The university–industry contacts are compared to results for informal contacts between employees in firms. The research shows that the interfirm informal contacts are more numerous than university informal contacts. Likewise, knowledge is more frequently acquired from engineers in other firms than through university–industry contacts. However, not all engineers in the cluster have informal contacts or acquire knowledge through these. Engineers who have participated in formal projects with university researchers and engineers who are educated at the local university have a higher likelihood of acquiring knowledge from informal contacts with university researchers.     

Default premia on European government debt

Default Premia on European Government Debt. — This paper addresses the question of the existence and size of a risk premium in the Eurobond market. We measure the yield difference between German government bonds and bonds issued in Deutsche Mark by several European countries. The results are regressed against macroeconomic variables supposed to be determinants of the risk of default on government debt. Our yield differences are smaller than those found between US states. However, some of our macroeconomic variables seem to be good predictors of yield differentials. A conclusion is that yield differentials partially are related to risks perceived by market participants.     

Equilibrium-correction vs. differencing in macroeconometric forecasting

Recent work by Clements and Hendry elucidate why forecasting systems that are in terms of differences, dVARs, can be more accurate than econometric models that include levels variables, EqCMs. For example, dVAR forecasts are in some cases insulated from parameter non-constancies in the long run mean of the cointegration relationships. In this paper, the practical relevance of these issues are investigated for RIMINI, the quarterly macroeconometric model used in Norges Bank (Central Bank of Norway), an example of an EqCM forecasting model. We develop two dVAR versions of the full RIMINI model and compare EqCM and dVAR forecasts for the period 1992.1–1994.4. We also include forecasts from univariate dVAR type models. The results seem to confirm the relevance of the theoretical results. First, dVAR forecasts appear to provide some immunity against parameter non-constancies that could seriously bias the EqCM forecasts. Second, the misspecification resulting from omitting levels information generates substantial biases in the dVAR forecasts 8 and 12 quarters ahead.     

Exchange rate versus inflation targeting: a theory of output fluctuations in traded and non-traded sectors

This paper develops a basic model for output fluctuations in traded and non-traded sectors under two alternative monetary policy regimes; exchange rate targeting (or monetary union) and inflation targeting. The conventional wisdom from one-sector models says that inflation targeting gives better output stabilization than exchange rate targeting when demand shocks occur, but the opposite when supply shocks occur. In a model with a traded and a non-traded sector, we show that the conventional wisdom holds for the non-traded sector. However, for the traded sector, we show that inflation targeting destabilizes output compared with exchange rate targeting when both supply and demand shocks occur. The only shocks where inflation targeting provides the better output stability for the traded sector are shocks to world market prices. The two-sector structure introduces new mechanisms that may turn around earlier results for aggregate production. For instance, a demand shock may induce higher aggregate output fluctuations with inflation targeting than with exchange rate targeting. Furthermore, a positive demand shock may prove to be contractionary under inflation targeting.