The basic aim of this project is to provide a machine learning model to explain the strength of US Dollar. Support vector machine (SVM) is a promising method for the analysis of financial time series which we employ. Macroeconomic factors of fundamental analysis are selected as the features of the model. The learning results and out-of-sample test show that SVM provides a good performance to US...

The evolving financial environment facing the corporate sector provides many non-bank external finance options as an alternative to bank finance and this paper examines the relationship between UK firms’ choices over bank versus non-bank finance under different monetary conditions. We look at the external finance 'mix' using a panel of 16,000 UK firm records taken from the FAME database for the...

Non-governmental organisations (NGOs) continue to be the global ‘flavour of the month’ in international development. They are regarded as “outside” actors perceived to work in the interests of the poor, and in the absence of the state, many NGOs have taken on vital role in the provision of basic services to the poor. The institutional and political environment is attuned to privatisation in wha...

A burgeoning literature finds that financial development exerts a first-order impact on long-run economic growth, which raises critical questions, such as why do some countries have welldeveloped growth-enhancing financial systems, while others do not? The law and finance theory focuses on the role of legal institutions in explaining international differences in financial development. First, th...

In many developing countries, pro‐poor entrepreneurship and innovation is facing a financing gap. Such innovation suffers from a lack of finance especially from the mainstream (or core) of the financial system. Instead, the little support that exists comes from alternative sources at the periphery of the financial system. This substantial gap in finance for rural PEBI, which remains unexplored,...

This study aims to examine the financing cash flow sensitivity into firm investment of Environment Sensitive Firms (ESFs). To improve robustness our analysis, we implement cluster regression analyze 300- firms listed on Shenzhen Stock Exchange. The findings this indicate that high-ESFs have more volatility in than low-ESFs. can reduce by integrating green finance with their flows. Green helps s...