The rationality hypothesis has been a very popular topic among the academics. Being a widely accepted hypothesis as part of the traditional finance theories, an investor is deemed a rational agent and makes rational decisions by exhausting all available alternatives. However, recently, new behavioural finance theories have been gaining ground as many empirical findings, which have been left unanswered by the traditional theories, can be explained by these behavioural-approach based theories. This research examined the impact of psychological factors on risk-taking behaviour in investment decisions. In particular, this research considered the possible effects of psychological factors, namely herding, heuristics, prospect, market, self-attribution bias, and familiarity bias, in making investment decisions. The findings in this paper declared that risk-taking behaviour in investment is affected by herding factors, heuristics factors, prospect factors, market factors and self-attribution bias factors. The familiarity bias factors do not significantly affect risk-taking behaviour in financial investment. Keywords: Behavioural finance, Herding, Heuristics, Prospect, Market, Self-attribution bias, Familiarity bias

The cryptocurrency market has received immense consideration in media and academia since the beginning of 2013 because of its huge price fluctuation. This study focuses on Arab investors who invest in the cryptocurrency market by investigating the influence of behavioral finance factors on investment decisions in the cryptocurrency market. A quantitative approach was used by employing a snowball sampling method through 112 questionnaires. The results show that herding theory, prospect theory, and heuristic theory have a significant effect on investors' investment decisions in the cryptocurrency market. This emphasizes the significant role of the proposed behavioral factors as determinants of the investors' investment decisions. This study contributes to the existing research by consolidating the results of different researches in this study. It also contributes to the investors' understanding of the dynamics of the cryptocurrency market and it enhances the ability to make informed decisions based on their understanding. The implication of the findings will prepare hit and run investors to be progressively prepared to stay in the cryptocurrency market and develop their abilities on the most proficient method to settle on sound venture choices. Furthermore, the findings of this study will encourage financial specialists to realize that information on the traditional finance theory is not adequate to excel in the cryptocurrency market.

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In this paper, the microfinance services are evaluated in the context of small-scale businesses in Jordan. The aim of this study is to emphasize on the importance of factors related to micro-finance as it helps in enhancing the firm's performance. This study utilizes a quantitative approach to conduct a research on approximately 308 small-scale businesses. The study employs a method of confirmatory component analysis (CFA) held by applied Structure Equation Modelling (SEM) to achieve the research objective. The results demonstrate that performance was significantly associated with various micro-finance services such as training for managers, training skills, and loan size. In particular, micro-finance programs should be considered by small entrepreneurs, microfinance institutions, and policy makers. Thus, the contribution of this work is the incorporation of micro-finance factors on SMEs performance. Managers of the SMEs will find guidance about which micro-finance factors is the most important for them to be considered in their roles and for improving SMEs performance.

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