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Faculty of Commerce - Papers (Archive)

2012

Market

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Full-Text Articles in Business

Stock Market And Gdp Growth Volatility Spillovers, Indika Karunanayake, Abbas Valadkhani, Martin O'Brien Jan 2012

Stock Market And Gdp Growth Volatility Spillovers, Indika Karunanayake, Abbas Valadkhani, Martin O'Brien

Faculty of Commerce - Papers (Archive)

This paper examines the interplay between stock market returns and GDP growth rates in four Anglo-Saxon economies located in three separate continents (namely, the US, the UK, Canada and Australia). We analyse the dynamics of cross-country volatility transmission across these countries by using quarterly data from 1959 to 2010 and a multivariate GARCH model. Country specific cross-mean spillovers from GDP growth to stock market returns exist only from the US growth towards its stock market, while country specific cross-mean spillovers from stock market returns towards GDP growth exist in both the US and Australia. The US economy influences all three …


Measuring And Recognizing The Value Of Purchased Goodwill: A Note On Market Value Measurement Method, Indra Abeysekera Jan 2012

Measuring And Recognizing The Value Of Purchased Goodwill: A Note On Market Value Measurement Method, Indra Abeysekera

Faculty of Commerce - Papers (Archive)

Through a review of literature and with conceptual underpinnings, this paper demonstrates that relying on the market value measurement method to ascertain value of purchased goodwill does not contribute to more accurate value of the financial worth of the firm.It argues that the use of market value for the measurement of purchased goodwill for recognition in financial statements is a mere artifact and a response to the contemporary paradigm rather than a measure of the accurate financial worth of purchased goodwill. It demonstrates the need to seek a measurement method that does not impose a transaction as a necessary precondition …


Tell Me Who You Think You Are And I Tell You How You Travel : Exploring The Viability Of Market Segmentation By Means Of Travelers' Stated Personality: Insights From A Mature Market (Switzerland), Christian Laesser, Anita Zehrer Jan 2012

Tell Me Who You Think You Are And I Tell You How You Travel : Exploring The Viability Of Market Segmentation By Means Of Travelers' Stated Personality: Insights From A Mature Market (Switzerland), Christian Laesser, Anita Zehrer

Faculty of Commerce - Papers (Archive)

People travel to different destinations for different reasons. In this study, we investigate the viability of market segmentation by personal traits (based on and exemplified by Jungian's MBTI variables) of travelers from Switzerland, by performing a data-driven a posteriori segmentation by means of k-means clustering. To identify the segmentation power of personal traits, this analysis is complemented with a multiple discriminant analysis as well as a number of contingency tests to identify differences between the segments. We identified four clearly definable segments, which differ in terms of the psychographic traits of the segment members but also in terms of some …


Biclustering: Overcoming Data Dimensionality Problems In Market Segmentation, Sara Dolnicar, Sebastian Kaiser, Katie Lazarevski, Friedrich Leisch Jan 2012

Biclustering: Overcoming Data Dimensionality Problems In Market Segmentation, Sara Dolnicar, Sebastian Kaiser, Katie Lazarevski, Friedrich Leisch

Faculty of Commerce - Papers (Archive)

Data-driven market segmentation is a popular and widely used segmentation method in tourism. It aims to identify market segments among tourists who are similar to each other, thus allowing a targeted marketing mix to be developed. Typically data used to segment tourists are characterized by small numbers of respondents and large numbers of survey questions. Small samples and numerous questions cause serious methodological problems that have typically been addressed by using factorcluster analysis to reduce the dimensionality of data. Recently, factor-cluster analysis has been shown as an unacceptable solution to the problem of high data dimensionality in segmentation. In this …