Capturing how individuals perceive genetic risk information: a phenomenological perspective

The prevailing scientific approach to genetic risk information centres around communication of risk in terms of numerical probabilities. However, it is well known that individuals have difficulties in understanding and making sense of this information in their own lives. There is, accordingly, a need to investigate whether any methodologies in psychological research may shed light on how individuals perceive genetic risk information within their specific contexts of family history, personal relationships, lifestyles and future plans. To explore whether hermeneutic phenomenology and methodology may offer a deeper understanding of an individual’s perception of having a hereditary predisposition, we conducted a literature search. We found that Interpretative Phenomenological Analysis may be a fruitful approach to an individual’s lived experiential world. The studies analysed showed how individuals interpret information about genetic risk in the light of their own beliefs about the multiple causes of illness, patterns of heredity and observable risk factors in their families. People’s understanding of their experience is derived from an intricate interconnectedness with others that arises in the context of a world shaped in equal measure by language and culture, on the one hand, and bodies and objects on the other.     

Household portfolio choices,health status and health care systems: A cross-country analysis based on SHARE

Health risk is increasingly viewed as an important form of background risk that affects household portfolio decisions. However, its role might be mediated by the presence of a protective full-coverage national health service that could reduce households’ probability of incurring current and future out-of-pocket medical expenditures. We use SHARE data to study the influence of current health status and future health risk on the decision to hold risky assets, across ten European countries with different health systems, each offering a different degree of protection against out-of-pocket medical expenditures. We find robust empirical evidence that perceived health status matters more than objective health status and, consistent with the theory of background risk, health risk affects portfolio choices only in countries with less protective health care systems. Furthermore, portfolio decisions consistent with background risk models are observed only with respect to middle-aged and highly-educated investors.     

A two-country NATREX model for the euro/dollar

This paper develops a NATREX (NATural Real EXchange rate) model for two large economies, the Eurozone and the United States, which are fully specified and allowed to interact. The theoretical framework, grounded on dynamic disequilibrium modelling approach in continuous time, provides the basis for empirical estimation. The model is estimated in its structural form as a simultaneous nonlinear differential equations system for the 1975–2003 period. The estimated parameters are then used to derive the simulated Euro/USD NATREX series in- and out-of-sample that offers the benchmark against which the misalignements of the actual real exchange rate are measured.     

Reserves,Sovereign Wealth Funds and the Resilience of Global Imbalances

Reserves and sovereign wealth funds (SWFs) assets should be jointly considered for the assessment of global imbalances, hence their denomination as sovereign external assets (SEAs): both are public capital outflows from developing to developed countries, both hinder adjustment in current account surplus and deficit countries and, therefore, both contribute to sustain global imbalances. They represented 135 per cent and 50 per cent of net and gross US financing needs, respectively, in 2007. Reserves contribute 80 per cent and SWFs 20 per cent. They will go on providing resilience to the global imbalances, and the relative importance of SWFs is set to increase if commodity prices stay high.     

The empirical risk–return relation: A factor analysis approach

Existing empirical literature on the risk–return relation uses relatively small amount of conditioning information to model the conditional mean and conditional volatility of excess stock market returns. We use dynamic factor analysis for large data sets, to summarize a large amount of economic information by few estimated factors, and find that three new factors—termed “volatility,” “risk premium,” and “real” factors—contain important information about one-quarter-ahead excess returns and volatility not contained in commonly used predictor variables. Our specifications predict 16–20% of the one-quarter-ahead variation in excess stock market returns, and exhibit stable and statistically significant out-of-sample forecasting power. We also find a positive conditional risk–return correlation.     

Marriage and other risky assets: A portfolio approach

We study the joint impact of gender and marital status on financial investments by testing the hypothesis that marriage represents – in a portfolio framework – a sort of safe asset and that this attribute may change over time. We show that married individuals have a higher propensity to invest in risky assets than single ones, that this marital status gap is stronger for women and that, for women only, it evolves and declines at the end of the sample period. Next we explore a number of possible explanations of the observed gender differences by controlling for background factors that capture the evolution of family and society. We find that both the higher female marital status gap and its time variability vanish for those women who are employed. Our empirical investigation is based on a dataset drawn from the 1993–2006 Bank of Italy Survey of Household Income and Wealth.