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Financial illiteracy is widespread amongst the elderly. Financially illiterate people are more likely to experience asset loss and outlive their savings after retirement. This paper measures financial literacy of elderly Australians using Item Responses Theory. Using a Lasso regression, we find that younger, married males with higher income and greater net wealth are more likely to be financially literate. Better financial literacy is also associated with good health, higher educational attainment, better occupation and outright home ownership. Our findings suggest policy makers take action and we make informed and practicable policy recommendations.

We investigate the statistical and economic effect of positive and negative sentiment on daily excess returns and volatility in the FTSE 100 index, using business news articles published by the Guardian Media Group between 01/01/2000 and 01/06/2016. The analysis indicates that while business news sentiment derived from articles aimed at retail traders doesn't influence excess returns in the FTSE 100 index, it does affect volatility, with negative sentiment increasing volatility and positive sentiment reducing it. Further, an ETF-based trading strategy based on these findings is found to outperform the naïve buy-and-hold approach.

Consumption behaviour and financial literacy are primary factors in determining the financial well-being of retirees. This paper uses an existing financial literacy index to examine how financial literacy directly, and via an interaction with consumption patterns, affects elderly Australians' financial well-being. We find that most elderly Australians hold an optimistic attitude towards their financial situation, and those who are relatively older, more educated, healthier and outright homeowners are more likely to report higher levels of financial well-being. Financial literacy significantly improves financial well-being. It also helps strengthen the positive effects of meeting more of non-essential consumption needs on financial well-being.

We survey the works applying text analytics to the study of news media in financial markets beyond intraday horizons, and expand into the fundamental economic theory and concepts relevant to the field. We compare and contrast the news sources, textual analysis methods and empirical modelling approaches adopted within the literature. We distil and categorise the key empirical insights, and summarise the bibliographic history of the literature so far. While this rapidly growing field has yielded many exciting discoveries, there are a number of promising avenues for future research which will only benefit from continued advances in computational technology.