We introduce a semi-supervised support vector machine (S3yM) method. Given a training set of labeled data and a working set of unlabeled data, S3YM constructs a support vector machine us-ing both the training and working sets. We use S3YM to solve the transduction problem using overall risk

Capital, Networks, Syndication, Investment Performance JEL classification: G24, L14. Networks are widespread in many financial markets. Bulge-bracket investment banks, for instance, have strong relationships with institutional investors which they make use of when pricing and distributing corporate

This study was undertaken to examine the risk associated to Construction projects investment in Ghana and the relationship between risk and investment in the construction industry of Ghana with more attention and focus on international joint ventures.. To accomplish the objectives of the study

Abstract. With the development of economy and the progress of society, the quality requirements of resettlement housing are increasing, which has brought great challenges to the resettlement housing construction. How to control the cost while ensuring the quality has become a concern of enterprises

Management S.A.. †Correspondence Information: Union Investment Institutional GmbH, Quantitative Strategies and Risk Re-

We analyze the advice contained in a sample of 237 investment letters over the 1980-1992 period. Each newsletter recommends a mix of equity and cash. We construct portfolios based on these recommendations and find that only a small number of the newsletters appear to have higher average returns

parity strategy to be quite meaningful when benchmarked against these alternatives. Keywords: Risk-based Asset Allocation, Risk Parity, Diversification, Entropy JEL Classification: G11; D81Diversification pays. This insight is at the heart of most portfolio construction paradigms like the seminal one

Abstract Public early intervention programs like Head Start are often justified as investments in children. Yet nothing is known about the long-term effects of Head Start. This paper draws on unique data from the Panel Study of Income Dynamics to provide new evidence on the effects of Head Start

This paper describes the construction and testing of a framework for dynamic risk assessment. A review of previous studies identified 4 domains into which dynamic risk factors for sexual offending seem to fall. These were sexual interests, distorted attitudes, socioaffective functioning, and self

(.) and g2 (.) = f2 (.) or if the opposite holds, nor do we know 7. Thus the learning problem consists of both estimating the opt imum partition of the observat ion space and assigning the classifications to the decision regions. Here, we show that labeled samples are necessary to construct a