Sustaining brand loyalty: The moderating role of green consumption values

Environmental issues are massively emerging in the current agendas of governments, businesses and consumers all over the globe. Consumers increasingly adopt a more energetic role in the environmental discussion and employ product consumption to manifest their contribution to the debate. Equally, a growing number of businesses try to affect positive social change, whereas others strategically approach green opportunities; at the same time, they persistently intensify their branding offerings to sustain loyalty. This article brings into discussion green consumption values as the authors aim to shed light into the way the latter moderate the effect of brand related factors, namely, brand experiences and brand personality, on brand loyalty. Based on data received from 413 participants and using the wearable technologies industry as the focal context, the study underscores the significance of green consumption values. Findings are discussed, and implications for managers are provided.     

New evidence on the forward unbiasedness hypothesis in the foreign‐exchange market

A large empirical literature has tested the unbiasedness hypothesis in the foreign‐exchange market with the use of forward exchange rates. This article amends the conventional testing framework to exploit the information in currency options, with a newly constructed data set for three major dollar exchange rates. The main results are that (a) tests based on stationary regressions suggest that options provide biased predictions of the future spot exchange rate, and (b) co‐integration–based tests that are robust to several statistical problems afflicting stationary regressions and allow for endogeneity issues arising from a potential omitted risk premium term are supportive of unbiasedness. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:627–656, 2006     

The behaviour of the real exchange rate: Evidence from regression quantiles

We test for mean reversion in real exchange rates using a recently developed unit root test for non-normal processes based on quantile autoregression inference in semi-parametric and non-parametric settings. The quantile regression approach allows us to directly capture the impact of different magnitudes of shocks that hit the real exchange rate, conditional on its past history, and can detect asymmetric, dynamic adjustment of the real exchange rate towards its long run equilibrium. It, therefore provides a detailed mapping of the real exchange rate behaviour, while being a robust alternative to previous unit root tests. The latter is confirmed by a simulation analysis comparing the power of the alternative tests. As concerns the real exchange rate, our results suggest that large shocks tend to induce strong mean reverting tendencies in the exchange rate, with half lives less than one year in the extreme quantiles. Mean reversion is faster when large shocks originate at points of large real exchange rate deviations from the long run equilibrium. However, in the absence of shocks no mean reversion is observed. Finally, we report asymmetries in the dynamic adjustment of the RER.     

Funding liquidity risk: Definition and measurement

Funding liquidity risk has played a key role in all historical banking crises. Nevertheless, a measure for funding liquidity risk based on publicly available data remains so far elusive. We address this gap by showing that aggressive bidding at central bank auctions reveals funding liquidity risk. We can extract an insurance premium from banks’ bids which we propose as a measure of funding liquidity risk. Using a unique data set consisting of all bids in all auctions for the main refinancing operation conducted at the ECB between June 2005 and October 2008 we find that funding liquidity risk is typically stable and low, with occasional spikes especially around key events during the recent crisis. We also document downward spirals between funding liquidity risk and market liquidity. As measurement without clear definitions is impossible, we initially provide definitions of funding liquidity and funding liquidity risk.