815 research outputs found

    Customer Trading in the Foreign Exchange Market: Empirical Evidence from an Internet Trading Platform

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    This paper analyzes the relationship between currency price changes and their expectations. Currency price change expectations are derived with the help of different order flow measures, from the trading behavior of investors on OANDA FXTrade, which is an internet trading platform in the foreign exchange market. We investigate whether forecasts of intra-day price changes on different sampling frequencies can be improved with the information contained in the flow of our investors’ orders. Moreover, we verify several hypotheses on the trading behavior and the preference structure of our investors by investigating how past price changes affect future order flow.Customer Dataset, Order Flow, Price Changes, Foreign Exchange Market

    The information content of retail investors' order flow

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    In this paper, we provide evidence that the trading activity of small retail investors carries significant genuine information that can be exploited for the short-term out-of-sample forecasting of foreign exchange rates. Our findings are based on a unique dataset of around 2000 retail investors from the OANDA FXTrade electronic trading platform. Our results are consistent with the view that in the foreign exchange market private information is highly dispersed, but can be extracted by observing customer order flow. Previous studies, however, focused on the information content of costumer order flow of dealers in the interbank market, whose clients are themselves large institutional and professional investors. Our study is the first that analyzes a crowd of small retail investors and shows that even the trading activity of these investors contains, on aggregate, important non-public information that can be exploited for short-term exchange rate forecasting. Our findings lead us to conjecture that retail investors (on aggregate) are not pure noise traders but process dispersed information at least partially in a similar way as large institutional investors and hence place their orders accordingly

    Advancements in Standardising Patient-Reported Outcomes Measurement

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    Patient-reported outcomes (PRO) data can deliver crucial information for diagnostic purposes and regarding benefits and possible harms of medical interventions. Recognising the potential of the patient’s voice, PRO data are increasingly integrated in clinical practice and clinical research, and they play an increasingly important role in medical and health policy decision making. With the growing focus on patient centeredness, the requirements towards the quality of PRO data are steadily increasing as well, and outcomes researchers and other stakeholders working in related disciplines such as academia, the pharmaceutical industry and the not-for-profit sector have a growing ethical responsibility to use only those PRO instruments that generate robust data and allow for valid inferences from PRO scores. To achieve high quality PRO data, standardised processes spanning from PRO instrument development and content validation, translation and cultural adaptation, statistical analysis and interpretation of PRO data are key to ensure that data collected via patient self-report can be trusted. This habilitation thesis focuses on PRO standardisation efforts worldwide, including an overview of PRO projects that were run in the context of two key PRO measurement systems, i.e., the PRO instruments of 1) the Patient-Reported Outcomes Measurement Information System (PROMIS) initiative and 2) the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Group. In conclusion, international initiatives aimed at standardised PRO assessment are well underway all of which contribute to ensuring that high quality PRO data can be generated. It is expected that both the PROMIS and EORTC suites of PRO instruments will continue to grow, consolidate the PRO field and be a benchmark for standardised PRO assessment, validation and interpretation

    Regional Powers Still Matter!

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    Economic and domestic political crises as well as global structural shifts that have resulted in a much tighter interconnection of events, actors, and institutions across the national, regional, and global levels have called into question the ability of so-called regional powers, such as Brazil, India, and South Africa, to have a serious impact on global politics in the remainder of the twenty-first century. Regional powers have been considered important contributors to regional and global order because they are expected to, for example, ensure stability and effective regional cooperation in a world that is increasingly difficult to govern. Yet, the actual outcomes of their regional projections have been mixed. While some regional powers, such as Brazil or South Africa, seem to have lost clout in the past few years, other countries, such as Saudi Arabia or Turkey, are striving for regional power status. Regional powers face contradictory demands in regard to their global and regional policies. Being at the interface between regional and global politics poses particular challenges and often leads to indecisive, reluctant, and sometimes contradictory policy choices. New and old regional powers are, further, facing important domestic ­challenges, such as significant downturns in their economies, corruption, and reduced state capacity to mobilise resources, as well as growing populist sentiments and even a drift towards authoritarianism. These issues create disruption in their foreign policies and represent potential challenges, due to unpredictability, for both research and policymaking. Nevertheless, "regional powers" is still a useful analytical concept with which to make sense of some of these trends by focusing on the regional dimension of international politics. Being a regional power does not preclude being a rising power or even a great power in global terms. Germany's and other Western countries' foreign policies often treat rising and regional powers as hubs of stability and economic prosperity. Yet, in a -changing world order, a better understanding of regional dynamics and tensions is ­needed: regional powers do not automatically serve as multipliers of policies within their regions given the sometimes low degree of regional integration. Their ability and willingness to influence their neighbourhood may change over time and policy fields; this variance should not be underestimated

    What determines forecasters’ forecasting errors?

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    This paper contributes to the growing body of literature in macroeconomics and finance on expectation formation and information processing by analyzing the relationship between expectation formation at the individual level and the prediction of macroeconomic aggregates. Using information from business tendency surveys, we present a new approach of analyzing forecasters’ qualitative forecasting errors. Based on a quantal response approach with misclassification, we define forecasters’ qualitative mispredictions in terms of deviations from the qualitative rational expectation forecast, and relate them to the individual and macro factors that are driving these mispredictions. Our approach permits a detailed analysis of individual forecasting decisions, allowing for the introduction of individual and economy-wide determinants that affect the individual forecasting error process

    Dimensions and location of high-involvement management:fresh evidence from the UK Commission's 2011 Employer Skills Survey

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    High-involvement management is typically seen as having three components: worker involvement, skill and knowledge acquisition and motivational supports. The prescriptive literature implies the elements should be used together; but using data from the UK Commission's Employer Skills Survey of 2011 we find that these dimensions of high-involvement management are in reality separate. Two types of involvement, role and organisational, are not strongly related, and motivational supports are not strongly correlated with other practices or each other. Size of workplace and the sector in which it operates are associated with the dimensions of high-involvement management. However, there is variety in their other predictors. For example, organisational involvement and skill acquisition are positively related to workplace size while role involvement is negatively associated with it. The research illustrates the value of scaling methods over blanket indexes to measure high involvement management and highlights the independent effects of quality and operational management methods

    quality of life outcomes of prostate cancer patients after radiotherapy or radical prostatectomy in a cohort study

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    Background This study describes and compares health-related quality of life (HRQOL) of prostate cancer patients who received either radical prostatectomy (nerve-sparing, nsRP, or non-nerve-sparing, nnsRP) or radiotherapy (external RT, brachytherapy, or both combined) for treatment of localised prostate cancer. Methods The prospective, multicenter cohort study included 529 patients. Questionnaires included the IIEF, QLQ-C30, and PORPUS-P. Data were collected before (baseline), three, six, twelve, and twenty-four months after treatment. Differences between groups’ baseline characteristics were assessed; changes over time were analysed with generalised estimating equations (GEE). Missing values were treated with multiple imputation. Further, scores at baseline and end of follow-up were compared to German reference data. Results The typical time trend was a decrease of average HRQOL three months after treatment followed by (partial) recovery. RP patients experienced considerable impairment in sexual functioning. The covariate-adjusted GEE identified a significant - but not clinically relevant - treatment effect for diarrhoea (b = 7.0 for RT, p = 0.006) and PORPUS-P (b = 2.3 for nsRP, b = 2.2 for RT, p = 0.045) compared to the reference nnsRP. Most of the HRQOL scores were comparable to German norm values. Conclusions Findings from previous research were reproduced in a specific setting of a patient cohort in the German health care system. According to the principle of evidence-based medicine, this strengthens the messages regarding treatment in prostate cancer and its impacts on patients’ health-related quality of life. After adjustment for baseline HRQOL and other covariates, RT patients reported increased symptoms of diarrhoea, and nnsRP patients decreased prostate-specific HRQOL. RP patients experienced considerable impairment in sexual functioning. These differences should be taken into account by physicians when choosing the best therapy for a patient

    Multi-Asset Factor Investing Strategies and Controversy Screening using Natural Language Processing

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    Factor investing strategies have revolutionized the landscape of equity investing, and continues to be heavily researched by academics and practitioners, leading to the documentation of more than 450 factors. However, from a practical investment perspective, much of the factor evidence documented by academics may be more apparent than real. The performance of many factors has found to be dependent on the inclusion of small- and micro-cap stocks in academic studies, although such stocks would likely be excluded from the real investment universe due to illiquidity and transaction costs. We take the perspective of an institutional investor and navigate this zoo of factors by focusing on the evidence relevant to the practicalities of factor-based investment strategies. Establishing a sound theoretical rationale is key to identifying “true” factors, and we emphasize the need to recognize data-mining concerns that may cast doubt on the relevance of many factors. Nevertheless, a parsimonious set of factors emerges in equities and other asset classes, including currencies, fixed income and commodities. Since these factors can serve as meaningful ingredients to factor-based portfolio construction, we build currency factor strategies using the G10 currencies. We show that parametric portfolio policies can help guide an optimal currency strategy when tilting towards cross-sectional factor characteristics. While currency carry serves as the main return generator in this tilting strategy, momentum and value are implicit diversifiers to potentially balance the downside of carry investing in flight-to-quality shifts of foreign exchange investors. Drawing insights from a currency timing strategy, according to time series predictors, we further examine the parametric portfolio policy’s ability to mitigate the downside of the carry trade by incorporating an explicit currency factor timing element. This integrated approach to currency factor investing outperforms a naive equally weighted benchmark as well as univariate and multivariate parametric portfolio policies. Whilst factor investing continues to grow in popularity, investors have expressed interest in aligning their investments with social values in order to maximize positive social impact. Hence, for any company, involvement in socially unethical practices not only leads to reputational damage but also financial consequences, anecdotally. To quantify the consequence of such controversial behaviour, we investigate the price impact of involvement in social controversies and find that the returns drop, on an average, by over 200 basis in the days around the outbreak of news on social violations. We identify companies following socially unethical practices from news headlines with the help of state-of-the-art language modelling approaches. Using a large sample of 1 million news headlines, we further train and fine-tune a DistilRoBERTa model to identify reports of controversial incidents in daily news feed. We map the price reaction of such controversial events using an event study approach and document negative price impact for companies with poor social practices measured via increased controversial behaviour, largely driven by small to medium market capitalization companies. Amongst the eight different social dimensions we examine, controversies surrounding violations of product safety standards, online scams and data privacy breaches significantly impact firm returns. Dissecting this result by geographies, the U.S, Australia, Europe and Emerging Market react very negatively to social controversies
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