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  1. Home
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Browsing by Author "East R"

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    Potential Predictors of Psychologically Based Stock Price Movements
    (MDPI (Basel, Switzerland), 2024-08) East R; Wright M; Stengos T
    Investment in stocks is increasingly dependent on artificial intelligence (AI), but the psychological and social factors that affect stock prices may not be fully covered by the measures currently used in AI training. Here, we search for additional measures that may improve AI predictions. We start by reviewing stock price movements that appear to be affected by social and psychological factors, drawing on stock market behaviour during the COVID-19 pandemic. A review of processes that are likely to produce such stock market movements follows: the disposition effect, momentum, and the response to information. These processes are then explained by regression to the mean, negativity bias, the availability mechanism, and information diffusion. Taking account of these processes and drawing on the consumer behaviour literature, we identify three factors which may not be covered by current AI training data that could affect stock prices: publicity in relation to capitalization, stock-holding penetration in relation to capitalization, and changes in the penetration of stock holding.
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    Social processes underlying the adoption of products: An omission
    (SAGE Publications on behalf of the Market Research Society, 2025-06-10) East R; Wright M
    This paper focuses on one aspect of the social interaction affecting the adoption of products: conversations between product users. When a product is successful, this interaction will increase as users accumulate. These interactions are driven by common interest and can widen users’ knowledge and appreciation of the product. This may raise the volume and persuasiveness of recommendations made to nonusers. Despite this, inter-user conversations are largely ignored in the reported research on the adoption of products.

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