
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
What do we know about oil prices and stock returns?

Abstract This paper is a survey of research on how oil prices affect stock returns. In the last couple of decades there has been an upsurge in such research, suggesting that a stock take is timely. The sheer volume of research on the interaction between oil markets and stock markets has meant that we have lost track of the key findings from the literature. The danger, in the absence of a stock take, is that we will produce a large volume of studies on how oil prices interact with stock returns without them having any real impact on the profession. This paper is a response to this concern. It highlights the key themes researched, main findings and, equally importantly, identifies key challenges and suggests an agenda for future research on the interaction between oil prices and stock returns and oil prices and the financial sector more generally.
- Deakin University Australia
- Deakin University Australia
- Monash University Australia
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).213 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
