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This paper aims to study long-term savings accumulation in the UK. The authors use cross-sectional information from the extensive data set of the Family Resources Survey to compare long-term saving amongst different ethnic groups with the control group, the native population. The paper reflects on whether different groups are more likely to suffer poverty in retirement.

In this analysis, the authors apply the life-cycle framework to explain saving profiles. This theoretical model has been used extensively in the field of economics and can be applied to empirical studies to examine changes in income and saving patterns over the life-course. The framework contends that individuals make savings decisions to smooth consumption over different phases of their life-cycle.

The findings indicate that socio-economic factors are key elements in determining whether individuals plan for retirement if factors are controlled for the differences in saving behaviours between ethnic minorities and the control population decrease considerably. Asian women, with good education and social standing, display greater saving rates than the control group, while the socio-economic disadvantage suffered especially by Pakistani and Bangladeshi women is key to their inability to save long-term. High levels of poverty in retirement are more likely to be caused by the interaction of low levels of education, part-time work and long spells of unemployment than by ethnicity.

The important contribution to the debate on savings by ethnic minorities is the extension of the life-cycle model to specific sections of the population and to proffer new insights into their saving/dis-saving patterns and ultimately their welfare in retirement.

The purpose of this paper is to investigate how changes in the distribution of pre retirement labour earnings affect post‐retirement income in the UK.

The authors estimate a PROBIT model and perform a counterfactual simulation to assess the effects of changes in the earnings distributions on pensions in the UK. The paper uses data from the British Household Panel Survey (BHPS).

The distribution of labour earnings before retirement plays a considerable role in the pension distribution of current retirees, particularly for low and medium incomes in the period 1991‐2007 for the UK. Improvements in Social Security have lifted many out of poverty; however there is still a gender gap as it is found that the current system of public and private schemes has not substantially improved pension income dispersion among women. On the other hand, changes in labour earning distributions have benefited more poor female pensioners than male.

The paper uses BHPS data, which is a longitudinal panel of survey questions made to UK households between 1991 and 2007. The level of detail of such data allows the study of the complete distributions of pre and post retirement income rather than focussing only on some measures of dispersion.

This paper aims to examine the investment performance of pension funds in the UK using the three standard performance measurement models, the capital asset pricing model (CAPM), Fama-French model and the Carhart model.

The authors use the CAPS-Mellon survey data for the period 1990-2008 and employ the three standard performance measurement models, the CAPM, Fama-French model and the Carhart model in assessing the investment performance of the pension funds.

The authors show that the abnormal returns of pension funds cannot be fully explained by size, book-to-market values, market returns, momentum and the term spread. The authors find larger abnormal returns in bond than in equity portfolios and that smaller funds outperform larger funds. The paper also shows that the addition of the momentum factor does not improve on the three-factor Fama-French model. The authors find that pension funds exhibit superior performance relative to the linear factor models.

First, this study contributes to the extant literature on pension funds performance. Future research may also extend the authors' work to incorporate economic, tax, political and legal differences across the countries on the performance of pension funds. Second, due to data constraints, this study excludes the default probability of corporate bonds as an additional variable in their tests on bond returns. Future work may add the default probability as an additional variable whilst examining bond returns.

The authors believe that the findings will be considerable food for thought for fund managers who continuously attempt to explore opportunities to provide a higher return to investors.

To the authors' knowledge, this is the first comprehensive study that investigates the performance of UK equity and bond pension funds relative to standard linear factor models such as the CAPM, Fama and French, and Carhart.