Application of Social Vulnerability Index (SoVI) and delineation of natural risk zones in Greater Lisbon,Portugal

Social Vulnerability Index (SoVI) was applied to Greater Lisbon (Portugal). Based on the concepts used for the SoVI assessments in the US, 46 variables representing social vulnerability of the 149 civil parishes of Greater Lisbon were chosen. Thirty-eight variables were selected after application of correlation tests. They were standardized, and a Principal Component Analysis and a Varimax rotation were applied to them. Seven factors were extracted using the Kaiser criterion, which explain 79.5% of the variance, and the SoVI scores were then mapped using a standard deviation classification. Twelve of the 149 civil parishes of Greater Lisbon have a very high social vulnerability and 24 of them have a high social vulnerability. The map of SoVI was then integrated with susceptibility maps of earthquakes, floods, flash floods, landslides, tsunami, and coastal erosion, thus delineating risk zones. Twenty-two civil parishes of Greater Lisbon have a very high risk; among them, 17 belong to Lisbon Municipality, four belong to Loures Municipality, and one belongs to Vila Franca de Xira Municipality. Finally, exposed population was considered and combined with risk zones map in order to assess the number of people being potentially exposed to risk and their location.     

There's more to volatility than volume

It is widely believed that fluctuations in transaction volume, as reflected in the number of transactions and to a lesser extent their size, are the main cause of clustered volatility. Under this view bursts of rapid or slow price diffusion reflect bursts of frequent or less frequent trading, which cause both clustered volatility and heavy tails in price returns. We investigate this hypothesis using tick by tick data from the New York and London Stock Exchanges and show that only a small fraction of volatility fluctuations are explained in this manner. Clustered volatility is still very strong even if price changes are recorded on intervals in which the total transaction volume or number of transactions is held constant. In addition the distribution of price returns conditioned on volume or transaction frequency being held constant is similar to that in real time, making it clear that neither of these are the principal cause of heavy tails in price returns. We analyse recent results of Ane and Geman (2000 Ane, T and Geman, H. 2000. Order flow, transaction clock, and normality of asset returns. J. Finance, 55(5): 2259–2284. [Crossref], [Web of Science ®] , [Google Scholar]: J. Finance, 55, 2259–2284) and Gabaix et al. (2003 Gabaix, X, Gopikrishnan, P, Plerou, V and Stanley, H.E. 2003. A theory of power-law distributions in financial market fluctuations. Nature, 423: 267–270. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]: Nature, 423, 267–270), and discuss the reasons why their conclusions differ from ours. Based on a cross-sectional analysis we show that the long-memory of volatility is dominated by factors other than transaction frequency or total trading volume.     

Applying free random variables to random matrix analysis of financial data. Part I: The Gaussian case

We apply the concept of free random variables to doubly correlated (Gaussian) Wishart random matrix models, appearing, for example, in a multivariate analysis of financial time series, and displaying both inter-asset cross-covariances and temporal auto-covariances. We give a comprehensive introduction to the rich financial reality behind such models. We explain in an elementary way the main techniques of free random variables calculus, with a view to promoting them in the quantitative finance community. We apply our findings to tackle several financially relevant problems, such as a universe of assets displaying exponentially decaying temporal covariances, or the exponentially weighted moving average, both with an arbitrary structure of cross-covariances.     

Portfolio choice with indivisible and illiquid housing assets: the case of Spain

This paper studies the investment decisions of Spanish households using a unique data-set, the Spanish Survey of Household Finance (EFF). We propose a theoretical model in which households, given a fixed investment in housing, allocate their net wealth across bank time deposits, stocks and mortgage. Besides considering housing as an indivisible and illiquid asset that restricts the portfolio choice decision, we take into account the financial constraints that households face when they apply for external funding. For every representative household in the EFF, we solve this theoretical problem and obtain the theoretically optimal portfolio that is then compared with households’ actual choices. We find that households significantly under-invest in stocks and deposits while the optimal and actual mortgage investments agree. Considering the three types of financial assets at once, we find that the households headed by highly financially sophisticated, older, retired, richer, and unconstrained persons are the ones investing more efficiently.     

Intangible investment and Ramsey capital taxation

The standard analysis of optimal fiscal policy aggregates different types of assets into a unique capital good and all types of capital taxes into a unique capital tax. This paper considers a disaggregated framework: an economy with corporate and dividend taxes, where firms invest in both tangible and intangible assets (which can be expensed or sweat). In our setup, firms can always respond to changes in the timing of taxation. We find that the optimal long-run policy features zero corporate taxes and positive dividend taxes, with labor and dividend taxes being identical. Moreover, the initial capital levy is relatively small.     

Multinational banking and the international transmission of financial shocks: Evidence from foreign bank subsidiaries

Using bank-level data on 368 foreign subsidiaries of 68 multinational banks in 47 emerging economies during 1994–2008, we present consistent evidence that internal capital markets in multinational banking contribute to the transmission of financial shocks from parent banks to foreign subsidiaries. We find that internal capital markets transmit favorable and adverse shocks by affecting subsidiaries’ reliance on their own internal funds for lending. We also find that the transmission of financial shocks varies across types of shocks; is strongest among subsidiaries in Central and Eastern Europe, followed by Asia and Latin America; is global rather than regional; and becomes more conspicuous in recent years. We also explore various conditions under which the international transmission of financial shocks via internal capital markets in multinational banking is stronger, including the subsidiaries’ reliance on funds from their parent bank, the subsidiaries’ entry mode, and the capital account openness and banking market structure in host countries.     

Human approach in the quality management system of manufacturing SMEs in Mexico Theoretical review and proposal of a conceptual model

Currently, globalization and competitiveness exert an enormous pressure on small and medium enterprises (SMEs) in the manufacturing sector in Mexico, for that reason they must be more effective and flexible to meet customer demand. In this article, we reviewed the literature on the subject according to the level of significance of variables like human factor, quality culture, quality management system (QMS) and innovation, considered as key elements of a latent competitive scale as from their exploration and explanation. The main objective of this research is to carry out a critical analysis by relating the importance of the human factor of QMS, through research on socio-emotional, intellectual factors and ethics values for achieving the effectiveness of QMS at all organization levels; it also provides a link between variables of quality culture, value propositions, and innovation. Finally, this work discusses the design of a human factor-based quality model to ensure the value propositions for customer and stakeholders’ satisfaction.     

EBITDA margin in brazilian companies Variance decomposition and hierarchical effects

This study explores the controversy between the business and academic perspectives regarding earnings before interest, taxes, depreciation, and amortization (EBITDA). Some authors argue that EBITDA is not useful as an indicator, except for comparing companies within the same sector (Assaf Neto, 2003, McClure, 2006, Stumpp, 2000). On the other hand, the business world strongly uses this type of indicator as a tool to support its decisions (Schmalensee, 1985, Moraes, 2005). This difference in opinions has aroused interest in understanding the reasons for its use and has raised questions regarding the usefulness of EBITDA for comparing companies from both the same and different sectors. By applying Hierarchical Linear Modeling (HLM), the main goal of this research is to observe EBITDA behavior across companies selling goods in Brazil, comparing them within the same sector and across different sectors over time. This research allows for the analysis of the reasons why EBITDA patterns occasionally occur. The results show significant variation in EBITDA among companies across the same sector and across companies from different sectors. On the other hand, our results have shown, nevertheless, that the variability among companies from the same sector was the highest one, raising questions on the actual usefulness of this indicator to compare companies from the same sector.     

Atributos de calidad del servicio de la telefonía móvil para clientes mexicanos y su impacto en la satisfacción y en la lealtad hacia la marca

The objective of this study is to identify relevant attributes of service quality in mobile phones for Mexican customers and to establish their impact on customer satisfaction and brand loyalty. It is being assumed that the attributes of service quality are an antecedent of satisfaction and loyalty. The study is divided in two phases. In a first qualitative phase, thirteen attributes were detected using in-depth interviews. In a second quantitative phase, these attributes were empirically contrasted with variables of satisfaction and loyalty. It was found that only six attributes are statistically related to the variables of these constructs, with two of them being the most relevant: price per minute and empathy perceived by customers from company’s employees.     

Valuación de opciones de tipo de cambio asumiendo distribuciones α-estables

This paper aims to present the valuation of options using the Black-Scholes method assuming α-stable distributions as an alternative option valuation in the Mexican market. The use of α-stable distributions for modelling financial series allows to overcome the classical valuation main weakness which assumes normality, by capturing the presence of heavy tails and asymmetry in financial time series. One of the main results is the price differential between the two models and the effect of alpha and beta parameters on prices; to show the difference valuation is made of a call option and a put option for the peso-dollar exchange rate. Likewise, basic sensitivity measurements of options (delta, gamma, and rho) were made and the effect of the stability parameter (α) was made on the implied volatility of options assuming the α-stable price as the market price.