67,296 research outputs found

    Financial diversification before modern portfolio theory: UK financial advice documents in the late nineteenth and the beginning of the twentieth century

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    The paper offers textual evidence from a series of financial advice documents in the late nineteenth century and the early twentieth century of how UK investors perceived of and managed risk. In the world’s largest financial centre of the time, UK investors were familiar with the concept of correlation and financial advisers’ suggestions were consistent with the recommendations of modern portfolio theory in relation to portfolio selection strategies. From the 1870s, there was an increased awareness of the benefits of financial diversification - primarily putting equal amounts into a number of different securities - with much of the emphasis being on geographical rather than sectoral diversification and some discussion of avoiding highly correlated investments. Investors in the past were not so naïve as mainstream financial discussions suggest today

    Toward a Robust Diversity-Based Model to Detect Changes of Context

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    Being able to automatically and quickly understand the user context during a session is a main issue for recommender systems. As a first step toward achieving that goal, we propose a model that observes in real time the diversity brought by each item relatively to a short sequence of consultations, corresponding to the recent user history. Our model has a complexity in constant time, and is generic since it can apply to any type of items within an online service (e.g. profiles, products, music tracks) and any application domain (e-commerce, social network, music streaming), as long as we have partial item descriptions. The observation of the diversity level over time allows us to detect implicit changes. In the long term, we plan to characterize the context, i.e. to find common features among a contiguous sub-sequence of items between two changes of context determined by our model. This will allow us to make context-aware and privacy-preserving recommendations, to explain them to users. As this is an ongoing research, the first step consists here in studying the robustness of our model while detecting changes of context. In order to do so, we use a music corpus of 100 users and more than 210,000 consultations (number of songs played in the global history). We validate the relevancy of our detections by finding connections between changes of context and events, such as ends of session. Of course, these events are a subset of the possible changes of context, since there might be several contexts within a session. We altered the quality of our corpus in several manners, so as to test the performances of our model when confronted with sparsity and different types of items. The results show that our model is robust and constitutes a promising approach.Comment: 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2015), Nov 2015, Vietri sul Mare, Ital

    The effects of public funding on farmers' attitudes to farm diversification

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    The overall aim of this research is to provide the UK Government with an evidence base from which it may be established whether there is a rationale for continuing Government intervention to encourage farm diversification, in particular through making capital grant funding available to farm diversification projects. The project's findings will inform the future role of government support, including whether other forms of support (advice, guidance and training) may be appropriate.Agricultural and Food Policy, Agricultural Finance, Farm Management,

    Enhancing the work of the Islington Integrated Gangs Team: A pilot study on the response to serious youth violence in Islington

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    This report is the result of research conducted by the Centre for City Criminology at City, University of London, in partnership with Islington’s Integrated Gangs Team (IGT) and the Metropolitan Police Service (MPS). The research was co-funded by MPS and the School of Arts and Social Sciences, City, University of London. Following a collaborative research event in October 2017, City Criminologists were commissioned to carry out a small-scale research project to capture the work of the IGT and to make recommendations regarding its operations, coherence, effectiveness and sustainability. The research team conducted semi-structured interviews over several months with 23 practitioners across the services that constitute the IGT. This report presents the findings and recommendations

    What Works for Women: Proven Approaches for Empowering Women Smallholders and Achieving Food Security

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    This document presents proven approaches for empowering women smallholders and achieving food security. Over the last few years an unparalleled attention has been given to the issue of food security and the importance of smallholder agriculture, with particular recognition of the role of women farmers. In this context, nine international development agencies have produced this briefing to share the lessons learned based on their experience of promoting gender equality and working with women smallholders and rural women over many decades. This paper concludes with a number of recommendations for policy makers on measures to help close the gender gap in agricultur

    Vietnam-Netherlands partnership "water for food & ecosystems"

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