17 ways to say yes:Toward nuanced tone of voice in AAC and speech technology

People with complex communication needs who use speech-generating devices have very little expressive control over their tone of voice. Despite its importance in human interaction, the issue of tone of voice remains all but absent from AAC research and development however. In this paper, we describe three interdisciplinary projects, past, present and future: The critical design collection Six Speaking Chairs has provoked deeper discussion and inspired a social model of tone of voice; the speculative concept Speech Hedge illustrates challenges and opportunities in designing more expressive user interfaces; the pilot project Tonetable could enable participatory research and seed a research network around tone of voice. We speculate that more radical interactions might expand frontiers of AAC and disrupt speech technology as a whole

Accounting practices for financial instruments. How far are Portuguese companies from IAS?

The purpose of this study is to analyse the current accounting practices for financial instruments by Portuguese companies and compare them to the measurement, recognition and disclosure requirements stipulated in IAS 32 and 39. In order to attain our objective, we drew up a list of 120 categories of inquiry and 370 possible responses that we were interested in analysing. We applied content analysis technique to 2001 listed companies’ annual reports. Our results suggest that the accounting practices for financial instruments by companies listed on the Portuguese stock exchange are very far from what IAS 32 and 39 require. This is especially observed in the measurement and recognition criteria applied to the categories of financial instruments for which the adoption of fair value is required (that is, held-for-trading and available-for-sale financial assets). In what derivative instruments are concerned, we found that the fair value measurement criterion is being adopted by a large number of derivative users. However, with respect to hedging transactions, the gap between accounting practices and the relevant accounting Standards is quite wide. A big improvement in reporting practices regarding this type of instruments will be needed. These findings throw light on the challenges of adopting IAS, particularly with respect to fair value measurement, now that 2005 is near.Financial instruments accounting, Fair Value, International Accounting, IAS, Portugal

Random Matrix Theory and Fund of Funds Portfolio Optimisation

The proprietary nature of Hedge Fund investing means that it is common practise for managers to release minimal information about their returns. The construction of a Fund of Hedge Funds portfolio requires a correlation matrix which often has to be estimated using a relatively small sample of monthly returns data which induces noise. In this paper random matrix theory (RMT) is applied to a cross-correlation matrix C, constructed using hedge fund returns data. The analysis reveals a number of eigenvalues that deviate from the spectrum suggested by RMT. The components of the deviating eigenvectors are found to correspond to distinct groups of strategies that are applied by hedge fund managers. The Inverse Participation ratio is used to quantify the number of components that participate in each eigenvector. Finally, the correlation matrix is cleaned by separating the noisy part from the non-noisy part of C. This technique is found to greatly reduce the difference between the predicted and realised risk of a portfolio, leading to an improved risk profile for a fund of hedge funds.Comment: 17 Page

Phase-Locking and Switching Volatility in Hedge Funds

This article aims to investigate the phase-locking and switching volatility in the idiosyncratic risk factor of hedge funds using switching regime beta models. This approach allows the analysis of hedge fund tail event behavior and in particular the changes in hedge fund exposure to various risk factors potentially related to liquidity risk, conditional on different states of the market. We and that in a normal state of the market, the exposure to risk factors could be very low but as soon as the market risk factor captured by the S&P500 moves to a down-market state characterized by negative returns and high volatility, the exposure of hedge fund indexes to the S&P500 and especially to other risk factors changes signi?cantly presenting evidence of phase-locking. We further extend the regime switching model to allow for non-linearity in residuals and show that switching regime models are able to capture and forecast the evolution of the idiosyncratic risk factor in terms of changes from a low volatility regime to a distressed state that are not directly related to market risk factors.Hedge Funds; Risk Management; Regime-Switching Models, Liquidity