The study evaluates the effect of economy policy uncertainty of US on gulf cooperation council (GCC) countries’ stock market returns. The GCC countries are Saudi Arabia, Qatar, UAE, Kuwait, Bahrain and Oman. Granger Causality Tests (GCT) was done primarily to evaluate if economy policy uncertainty granger cause on GCC stock market returns. The analysis established that oil prices granger cause stock market returns for Saudi Arabia, Kuwait and UAE; the same is not true on changes in economic policy uncertainty of US cause on the stock market returns. Changes in economy policy uncertainty in US granger causes on stock market returns of Bahrain. On the other hand, economy policy uncertainty in US does not cause stock market returns in Qatar, UAE, Kuwait and Saudi Arabia. Vector Autoregression (VAR) analysis establishes that economy policy uncertainty in US negatively responds to the stock market returns of the GCC countries.

This paper aims to examine the financial depth and efficiency and economic growth nexus in the context of Saudi Arabia and Oman. In particular, this paper addresses on how financial depth and efficiency relate to economic growth and the causal relation between financial depth and efficiency and the economic growth in Saudi Arabia and Oman. Methodological wise, this study employs a panel data of Saudi Arabia and Oman over the period of 1990 - 2015 and uses the determination of line of best to analyze the causal relations. The empirical results show that financial deepening have desirable effects on the economic growth in Oman, while increasing financial depth and efficiency has detrimental impact to economic growth of Saudi Arabia. Based on these empirical facts, we conclude that the financial deepening in Saudi Arabia is not an economic prioritized strategy, but financial deepening is an economic prioritized strategy in Oman. Two main policy implications are reached.

The seasoned equity offering (SEO) market plays a significant role in the economic development of a country by providing liquidity for ongoing commercialization and innovation. This study is a comprehensive analysis of 149 SEOs and their effect on share prices in Thailand between 2009 and 2019. SEOs are categorized based on their time categories (early, mid, and grown) and volume categories (small, medium, big, and super). Using the event study methodology (multi-factor model), we find that most SEOs under both categories have a negative cumulative abnormal return (CAR) in the window period. Ranking the types of SEOs reveals that grown SEOs have the highest proportion of negative CAR under the time categories. Under the volume categories, medium SEOs show the largest share. The results were validated by regression assumption tests provided by Gnu Regression, Econometrics and Time-series Library, and correspond to established theories. The paper also contains an extensive literature review of studies examining the link between SEOs and share-price development. Our findings have important implications for corporations, investors, and regulatory bodies and can thus help in increasing market confidence for sustainable corporate funding.