The time varying price spillovers between natural gas and crude oil markets for the period 1994 to 2014 are investigated. Contrary to earlier research, we show that in a large part of our sample the natural gas price leads the price of crude oil with price spillover effects lasting up to two...

We investigate whether proxies for mood play a role in the pricing of gold, silver, platinum and palladium. Using several mood proxies derived from weather and biorhythms factors, our tests suggest some individually significant relationships, but with very low overall explanatory power. We...

This paper investigates the impact of oil price shocks on the Turkish sovereign yield curve factors. The recent oil shock identification scheme of Ready (2018) is modified by using geopolitical oil price risk index in order to capture the changes in the risk perceptions of oil markets driven by...

Blockchain technology appears to be ready to revolutionise a broad number of industries. However, the blockchain itself contains a number of inefficiencies and areas for improvement, namely: transaction fees and transaction speeds. Directed acyclic graphs (DAGs) address, and improve on these...

We use wavelet models to surface the relationship between gold miners stock prices and the price of gold. We find that there is little relationship in the short run but some significant and long standing long run relationships. Gold prices appear to lead gold miner stock prices

We investigate the case for Bordeaux and Rhone wine as an investment. The raw data analysed comprises of approx. 335,000 observations of wine sales prices and is analysed using the repeat sales regression method. General Red Bordeaux and Rhone wine indices are constructed for the period January...

Gold is traded worldwide, mainly in London, New York, Tokyo and Shanghai. We apply the recently developed spillover index approach of Diebold and Yilmaz (2009) to investigate the degree to which these markets are integrated, and which are net senders or recipients of information. The evidence...

In this paper, we analyse the herding behaviour of two types of cryptocurrencies, referred to as "black/dirty" and "green/clean" based on their energy usage levels. Empirical results reveal that herding generally exists only in the dirty crypto markets, and is more significant in down markets....