Modeling the relationships among gold price, oil price, foreign exchange, and the stock market index in Thailand

Islamic finance has grown rapidly in the recent years particularly in the Middle East and the world. It receives a great attention of bankers and financial scholars due to its stability during financial shocks and crises. The paper uses empirical analysis to test the role of Islamic banking in enhancing the economic growth of United Arab Emirates (UAE). Gross Domestic Product (GDP), Gross formation (GF), and Foreign Direct Investment (FDI) are used as representatives for economic growth, while Islamic banks’ investments are used as a representative for Islamic financial sector in the UAE. The study uses time series techniques to test the link between the variables. In the current study, co-integration along with error correction models is utilized. All econometric work is done using Eviews. The findings reveal that the causal relationship between Islamic banks’ investments and economic growth of UAE is supply-leading direction. Furthermore, the findings depict that Islamic investments have contributed in increasing investments and in bringing FDI into the country in the long-term. The study also shows that there is two-way association between Islamic banks’ investments and FDI. It shows that FDI supports Islamic banking and Islamic banking brings FDI. The paper concludes that authorities of the UAE should devote more attention for this growing banking sector by facilitating regulations for establishing new Islamic banks and then creating a suitable environment for their growth and progress in the UAE.

This study investigates how oil price movements impact the main Eurozone industry supersectors returns. We use a multifactor market model in which we incorporate oil price changes as an additional risk factor. In order to account for possible breaks in the relationship, we use the Bai and Perron (1998, 2003) breakpoints identification methodology. We find evidence of the presence of structural instabilities on the relationship between sector stock returns and oil price changes. Different breakpoints are identified, particularly the 2003 Iraq invasion year, the 2008 subprime crisis and the 2012 Euro debt crisis. Moreover, our results prove that stock return sensitivities to oil prices are time varying and sector dependent. Besides, the subprime financial crisis appears to induce a significantly positive effect on the oil-stock market nexus. However, the Euro debt crisis has a mostly negative effect. The other identified breakpoints do not seem to have any significant effect on the oil stock market nexus.

Pairs trading that is built on ’Relative-Value Arbitrage Rule’ is a popular short-term speculation strategy enabling traders to make profits from temporary mispricing of close substitutes. This paper aims at investigating the profit potentials of pairs trading in a new finance area – on cryptocurrencies market. The empirical design builds upon four well-known approaches to implement pairs trading, namely: correlation analysis, distance approach, stochastic return differential approach, and cointegration analysis, that use monthly closing prices of leading cryptocoins over the period January 1, 2018, – December 31, 2019. Additionally, the paper executes a simulation exercise that compares long-short strategy with long-only portfolio strategy in terms of payoffs and risks. The study finds an inverse relationship between the correlation coefficient and distance between different pairs of cryptocurrencies, which is a prerequisite to determine the potentially market-neutral profits through pairs trading. In addition, pairs trading simulations produce quite substantive evidence on the continuing profitability of pairs trading. In other words, long-short portfolio strategies, producing positive cumulative returns in most subsample periods, consistently outperform conservative long-only portfolio strategies in the cryptocurrency market. The profitability of pairs trading thus adds empirical challenge to the market efficiency of the cryptocurrency market. However, other aspects like spectral correlations and implied volatility might also be significant in determining the profit potentials of pairs trading.