School of Management (SoM)

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    Alliances and Networks: Creating Success in the UK Fair Trade Market
    (2009-06-03T13:32:32Z) Davies, Iain A.
    Data from a longitudinal study into the key management success factors in the fair trade industry provide insights into the essential nature of inter-organizational alliances and networks in creating the profitable and growing fair trade market in the UK. Drawing on three case studies and extensive industry interviews, we provide an interpretive perspective on the organizational relationships and business networks and the way in which these have engendered success for UK fair trade companies. Three types of benefit are derived from the networks: competitive developments through virtual integration in which the organizations remain flexible and small while projecting size to the market; intellectual developments through the sharing of intellectual capital with a diverse network of organizations in many fields; and ideological developments through an ideological network of like-minded individuals by which the companies can prevent the co-opting of the original purpose of fair trade. However, relative success at leveraging these benefits is influenced by three managerial factors: partner choice, partner use and partner management.
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    Stock index futures hedging in the emerging Malaysian market
    (2009-11-06T10:37:25Z) Pok, Wee Ching; Poshakwale, Sunil S.; Ford, J. L.
    The paper investigates hedging effectiveness of dynamic and constant models in the emerging market of Malaysia where trading information is not readily available and market liquidity is lower compared to the developed equity markets. Using daily data from December 1995 to April 2001 and bivariate GARCH(1,1) and TGARCH models, the paper uses differing variance–covariance structures to obtain hedging ratios. Performance of models is compared in terms of variance reduction and expected utility levels for the full sample period as well as the three sub-periods which encompass the Asian financial crisis and introduction of new capital control measures in Malaysia. Findings show that rankings of the hedging models change for the in-sample period depending on evaluation criteria used. TGARCH based models provide better hedging performance but only in the period of higher information asymmetry following the imposition of capital controls in Malaysia. Overall, despite the structural breaks caused by the Asian financial crisis and new capital control regulations, out of sample hedging performance of dynamic GARCH models in the Malaysian emerging market is as good as the one reported for the highly developed markets in the previous literature. The findings suggest that changes in the composition of market agents caused by large scale retreat of foreign investors following the imposition of capital control regulations do not seem to have any material impact on the volatility characteristics of the Malaysian emerging market.