Building News Measures from Textual Data and an Application to Volatility Forecasting

We retrieve news stories and earnings announcements of the S&P 100 constituents from two professional news providers, along with tenmacroeconomic indicators.We also gather data fromGoogle Trends about these firms’ assets as an index of retail investors’ attention. Thus, we create an extensive and innovative database that contains precise information with which to analyze the link between news and asset price dynamics. We detect the sentiment of news stories using a dictionary of sentiment-related words and negations and propose a set of more than five thousand information-based variables that provide natural proxies for the information used by heterogeneousmarket players. We first shed light on the impact of information measures on daily realized volatility and select them by penalized regression. Then,we performa forecasting exercise and showthat themodel augmentedwith news-related variables provides superior forecasts

Dietary advice to cardiovascular patients. A brief update for physicians.

It is important, in our opinion, to provide physicians with a brief update of scientifically-sound evidence in preventive nutrition, to be employed in their everyday practice, since the latest scientific and clinical advances in this area are generally not well known. Here, we review the most recent evidence in support of an optimal cardio-protective diet, and we identify the need to focus mainly on protective food which should be part of such diet, rather than on nutrients with negative effects to be limited (salt, saturated fats, simple sugars). We conclude that, to favor patient compliance, it is also necessary to underscore indications on the topics for which there is convincing and coherent literature, leaving other less-explored aspects to individual preferences

The Information Content of Financial Textual Data: Creating News Measures for Volatility Modeling and for the Analysis of Price Jumps

We retrieve news stories and earnings announcements of the S&P 100 constituents from two professional news providers, along with ten macroeconomic indicators. We also gather data from Google Trends about these firms' assets as an index of retail investors' attention. Thus, we create an extensive and innovative database that contains precise information with which to analyze the link between news and asset price dynamics. We detect the sentiment of news stories using a dictionary of sentiment-related words and negations and propose a set of more than five thousand information-based variables that provide natural proxies for the information used by heterogeneous market players. We first shed light on the impact of information measures on daily realized volatility and select them by penalized regression. Then we use these measures to forecast volatility and obtain superior results with respect to the results of models that omit them. Thereafter, we detect intraday price jumps in the S&P 100 constituents' stocks and we build high frequency news indicators from news stories released by two professional news providers, earnings announcements, and twenty-three US macroeconomic indicators. We investigate the extent to which statistically significant intraday jumps are associated with the news indicators and select them by penalized logistic regression. We compare the economic significance of jumps and we find effects on returns and volatility at both high frequency and daily level, and that these effects vary depending on the type of news to which jumps are associated. We also find that future quarterly and yearly returns seem to be exposed to jump risk measures built using jumps related to macro-announcements. A common method to detect the sentiment of a text is the so-called bag-of-words approach. Finally, we extend the method in three directions, by using: 1) an extended negations list of single words, two-word sequences, and three-word sequences; 2) lists of sentiment-related expressions; 3) lists of sentiment-related words combinations. The aim is creating a general method suitable for detecting the sentiment of a financial text of any type

District Geometry Simulation: A Study for the Optimization of Solar Façades in Urban Canopy Layers

open4This paper shows the results of a research aimed at assessing the amount of energy that can be produced by solar envelopes (facades and roofs) in urban contexts.A preliminary set of simulations was carried out, through dynamic yearly analyses on a sample building, to identify the main parameters influencing the availability of solar radiation and to optimize the building's shape. The general target is to maximise solar radiation available on the external building envelope, in order to exploit it through building integrated solar systems.Furthermore, the effect of reflected solar radiation has been analysed by simulating different finishing materials (green façades, glazed façades, concrete façades and aluminium façades) on the neighbouring buildings.G. Lobaccaro; F. Fiorito; G. Masera; T. PoliLobaccaro, Gabriele; F., Fiorito; Masera, Gabriele; Poli, Tizian

Renal papillary carcinoma developed in a kidney transplant recipient with late IgA-nephropathy

With improvements in immunosuppressive therapy, patient and graft survival in renal transplant recipients have been prolonged. Increasing donor age and patient survival rates have been related to an increase in the number of de novo tumors. Posttransplant malignancy in these patients is an important cause of graft loss and death in these patients. Among cancers occurring after a kidney transplant, renal cell carcinoma is the fifth most common malignancy after lymphoproliferative disorders, and skin, gastrointestinal, and lung cancers. When nonmelanoma skin cancers and in situ carcinoma of the cervix are excluded from malignancies, renal cell carcinoma accounts for 2% of all cancers in the general population, which increases to 5% in solid-organ recipients. The majority of renal cell carcinomas found in transplant recipients develop in the recipient 's native kidneys, but only 9% of tumors develop in the allograft itself. Tumors transmitted by donors represent only 0.02% to 0.2% of cases. Most de novo allograft renal cell carcinomas are single tumors. The mechanisms of development of renal cell carcinoma in renal grafts are not completely understood

numerical study of flutter stabilization in low pressure turbine rotor with intentional mistuning

Abstract Intentional mistuning concepts are used to mitigate the risk of flutter occurrence for compressor and turbine blades, as this design strategy represents one of the key aspects in nowadays turbomachinery aeroelastic design. In this paper, the effects of a mistuning pattern on LPT flutter stability are numerically investigated in order to highlight the differences with the classic tuned configuration. A LPT rotor is analysed with an intentional mistuning pattern composed by alternate blades with different additional masses at the blade tip, and the corresponding tuned configuration, consisting of the blisk (blade+disk) with identical blades. The first part of this work is devoted to the modal analysis for tuned and mistuned cases. Frequencies and mode shapes of the first bending mode family, obtained by FEM modal analysis in cyclic symmetry, are then used to perform CFD flutter analysis with moving blades. The results confirm the stabilizing effect of alternate mistuning pattern in contrast with the tuned system which denotes a strong flutter instability for a large range of negative nodal diameters. The numerically predicted flutter stabilization effect has been confirmed by measurements carried out during a tip timing experimental campaign performed within the Future EU project

prevention and treatment of atherosclerosis the use of nutraceuticals and functional foods

Nutritional interventions are effective and – in theory – easy to implement primary and secondary prevention strategies that reduce several risk factors of atherosclerosis and cardiovascular disease (CVD). Yet, because of (a) the severe impact of CVD in terms of mortality, morbidity, quality of life, and economy, (b) the proved role of LDL plasma concentrations as the most critical risk factor, and (c) the obstacles found both in terms of biological effects and compliance of the patient by an exclusively dietary intervention, food supplements or nutraceuticals are now valuable resources for physicians. As regards cholesterol control, several preparations are available in the market, and we will critically review them in this chapter