2,188 research outputs found

    Testing stock market convergence: a non-linear factor approach

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    This paper applies the Phillips and Sul (Econometrica 75(6):1771–1855, 2007) method to test for convergence in stock returns to an extensive dataset including monthly stock price indices for five EU countries (Germany, France, the Netherlands, Ireland and the UK) as well as the US between 1973 and 2008. We carry out the analysis on both sectors and individual industries within sectors. As a first step, we use the Stock and Watson (J Am Stat Assoc 93(441):349–358, 1998) procedure to filter the data in order to extract the long-run component of the series; then, following Phillips and Sul (Econometrica 75(6):1771–1855, 2007), we estimate the relative transition parameters. In the case of sectoral indices we find convergence in the middle of the sample period, followed by divergence, and detect four (two large and two small) clusters. The analysis at a disaggregate, industry level again points to convergence in the middle of the sample, and subsequent divergence, but a much larger number of clusters is now found. Splitting the cross-section into two subgroups including euro area countries, the UK and the US respectively, provides evidence of a global convergence/divergence process not obviously influenced by EU policies

    Hedge Funds and the Asian Currency Crisis of 1997

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    We test the hypothesis that hedge funds were responsible for the crash in the Asian currencies in late 1997. To do so, we develop estimates of the changing positions of the largest ten currency funds in one currency, the Malaysian ringgit and to a basket of Asian currencies. Our methodology is adapted from the Sharpe's (1992) style analysis approach that decomposes fund returns. We find that the net long or short positions in the ringgit or its correlates did fluctuate dramatically over the last four years. However, these fluctuations were not associated with moves in the exchange rate. The estimated net positions of the major funds were not unusual during the crash period, nor were the profits of the funds during the crisis. In sum, we find no empirical evidence to support the hypothesis that George Soros, or any other hedge fund manager was responsible for the crisis

    Psychological response and quality of life after transplantation: a comparison between heart, lung, liver and kidney recipients

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    PRINCIPLES: Various non-specific questionnaires were used to measure quality of life and psychological wellbeing of patients after organ transplantation. At present cross-organ studies dealing specifically with the psychological response to a transplanted organ are non-existent in German-speaking countries. METHODS: The Transplant Effects Questionnaire TxEQ-D and the SF-36 Quality of Life Questionnaire were used to examine the psychological response and quality of life of 370 patients after heart, lung, liver or kidney transplantation. The organ groups were compared with regard to psychosocial parameters. RESULTS: 72% of patients develop a feeling of responsibility for the received organ and its function. This feeling is even stronger towards the patient's key relationships i.e. family, friends, the treatment team and the donor. 11.6% worry about the transplanted organ. Heart and lung patients report significantly fewer concerns than liver and kidney patients. Overall, only a minority of patients report feelings of guilt towards the donor (2.7%), problems in disclosing their transplant to others (2.4%), or difficulties in complying with medical orders (3.5%). Lung transplant patients show significantly better adherence. CONCLUSIONS: A feeling of responsibility towards those one is close to and towards the donor is a common psychological phenomenon after transplantation of an organ. Conscious feelings of guilt and shame are harboured by only a minority of patients. The fact that heart and lung patients worry less about their transplant might have primarily to do with the greater medical and psychosocial support in this group

    Of Gold and Paper Money

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    We consider the role of money as a means of payment, store of value and medium of exchange. I outline a number of quantitative and qualitative experiences of monetary management. Successful regimes have sprung up in a variety of surprising places, and been sustained with state (centralised) interventions. Although the link between state and money, and its standard of identity and account may be clear, particularly in earlier stages of economic development, the extent to which the state is widely felt to hold responsibility for 'sound money' is less clear in modern democracies, where there are many other public responsibilities implying ongoing trade-offs

    Combination Forecasts of Bond and Stock Returns: An Asset Allocation Perspective

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    We investigate the out-of-sample forecasting ability of the HML, SMB, momentum, short-term and long-term reversal factors along with their size and value decompositions on U.S. bond and stock returns for a variety of horizons ranging from the short run (1 month) to the long run (2 years). Our findings suggest that these factors contain significantly more information for future bond and stock market returns than the typically employed financial variables. Combination of forecasts of the empirical factors turns out to be particularly successful, especially from an an asset allocation perspective. Similar findings pertain to the European and Japanese markets

    Algorithm Engineering in Robust Optimization

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    Robust optimization is a young and emerging field of research having received a considerable increase of interest over the last decade. In this paper, we argue that the the algorithm engineering methodology fits very well to the field of robust optimization and yields a rewarding new perspective on both the current state of research and open research directions. To this end we go through the algorithm engineering cycle of design and analysis of concepts, development and implementation of algorithms, and theoretical and experimental evaluation. We show that many ideas of algorithm engineering have already been applied in publications on robust optimization. Most work on robust optimization is devoted to analysis of the concepts and the development of algorithms, some papers deal with the evaluation of a particular concept in case studies, and work on comparison of concepts just starts. What is still a drawback in many papers on robustness is the missing link to include the results of the experiments again in the design

    Compressed representation of a partially defined integer function over multiple arguments

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    In OLAP (OnLine Analitical Processing) data are analysed in an n-dimensional cube. The cube may be represented as a partially defined function over n arguments. Considering that often the function is not defined everywhere, we ask: is there a known way of representing the function or the points in which it is defined, in a more compact manner than the trivial one
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