Yazar "Schmidbauer, Harald" seçeneğine göre listele

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    Free/Open Source Software adoption, public policies and development indicators
    (Springer, 2007) Schmidbauer, Harald; Gencer, Mchmet; Tunalio-lu, Vehbi Sinan
    Despite the growing body of research on the inner workings of FOSS development, there are few studies on its relation with broader developments in society. In this study we have attempted a preliminary investigation of (1) how FOSS prevalence is related to economic and human development indicators of countries, (2) whether public policies regarding FOSS emerge in a consistent relation with these indicators in several clusters of countries constructed from the United Nation's human development index, and (3) the relation of software piracy to development indicators. Our results point to relative significance of non-economic factors in FOSS adoption, lack of consistent policies among public agencies, and irrelevance of non-economic factors on software piracy. In addition, the study demonstrates the possibility of developing FOSS indices for larger scale diagnosis and strategizing.
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    Green segmentation: a cross-national study
    (Emerald Group Publishing Ltd, 2015) Yilmazsoy, Baris; Schmidbauer, Harald; Roesch, Angi
    Purpose - Understanding and defining the characteristics of environmentally conscious or concerned consumers has received attention from academic researchers, commercial sector, and policy makers. The purpose of this paper is to identify distinct market segments in three countries ( China, Germany, and Turkey) based on several green attitude and behavior variables. Design/methodology/approach - A survey was administered in three countries, yielding a total of 1,415 valid survey responses. Findings - Four clusters, ranging from the greenest to the least green segment, were identified and characterized for each country. Inter-and intra-country similarities and differences are discussed. Existence of cross-national segments was confirmed. Research limitations/implications - There is a potential gap between actual behavior and reported behavior. Practical implications - The segment profiles can be valuable to firms, particularly to those competing in multinational markets. By delineating areas of similarity among international diversity, enterprises can develop effective global marketing strategies. Social implications - Understanding market segments in this respect is critical for policy makers who try to focus their policies that seek to promote green consumption. Originality/value - This is the first study that uses cross-national data for segmenting the market based on green criteria, to the authors' knowledge. Methodologically, the paper uses techniques and instruments that have not been used in this context before.
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    OPEC news announcements: Effects on oil price expectation and volatility
    (Elsevier Science Bv, 2012) Schmidbauer, Harald; Roesch, Angi
    Several times a year, OPEC hosts conferences among its members to agree on further oil production policies. Prior to OPEC conferences, there is usually rampant speculation about which decision concerning world oil production levels (no change, increase, or cut) will be announced. The purpose of our investigation is to assess the impact of OPEC announcements on expectation and volatility of daily oil price changes (returns). We modify dummy variables indicating the day of an OPEC announcement to reflect a certain pattern of impact on return expectation and volatility. A combination of regression and GARCH models can then differentiate between pre- and post-announcement effects, and distinguish between the three kinds of OPEC decisions. We find evidence for a post-announcement effect on expectation, which is negative in the case of a cut decision and positive in case of an increase or maintain decision, while there is a positive pre-announcement effect on volatility, which is strongest in the case of a cut decision. (C) 2012 Elsevier B.V. All rights reserved.
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    ROBUST TRADING RULE SELECTION AND FORECASTING ACCURACY
    (Springer Heidelberg, 2014) Schmidbauer, Harald; Roesch, Angi; Sezer, Tolga; Tunalioglu, Vehbi Sinan
    Trading rules performing well on a given data set seldom lead to promising out-of-sample results, a problem which is a consequence of the in-sample data snooping bias. Efforts to justify the selection of trading rules by assessing the out-of-sample performance will not really remedy this predicament either, because they are prone to be trapped in what is known as the out-of-sample data-snooping bias. Our approach to curb the data-snooping bias consists of constructing a framework for trading rule selection using a-priori robustness strategies, where robustness is gauged on the basis of time-series bootstrap and multi-objective criteria. This approach focuses thus on building robustness into the process of trading rule selection at an early stage, rather than on an ex-post assessment of trading rule fitness. Intra-day FX market data constitute the empirical basis of the proposed investigations. Trading rules are selected from a wide universe created by evolutionary computation tools. The authors show evidence of the benefit of this approach in terms of indirect forecasting accuracy when investing in FX markets.